From 5e0202acd0999f82a2e65fbdffec602598523a38 Mon Sep 17 00:00:00 2001
From: Andras Slemmer <andras.slemmer@r3cev.com>
Date: Thu, 19 Apr 2018 10:54:17 +0100
Subject: [PATCH 01/25] Add killFlow
---
.../main/kotlin/net/corda/core/messaging/CordaRPCOps.kt | 7 +++++++
.../main/kotlin/net/corda/node/internal/CordaRPCOpsImpl.kt | 3 +++
.../net/corda/node/internal/RpcAuthorisationProxy.kt | 5 +++++
.../net/corda/node/internal/RpcExceptionHandlingProxy.kt | 3 +++
4 files changed, 18 insertions(+)
diff --git a/core/src/main/kotlin/net/corda/core/messaging/CordaRPCOps.kt b/core/src/main/kotlin/net/corda/core/messaging/CordaRPCOps.kt
index 51c287af17..047ceb2efe 100644
--- a/core/src/main/kotlin/net/corda/core/messaging/CordaRPCOps.kt
+++ b/core/src/main/kotlin/net/corda/core/messaging/CordaRPCOps.kt
@@ -260,6 +260,13 @@ interface CordaRPCOps : RPCOps {
@RPCReturnsObservables
fun <T> startTrackedFlowDynamic(logicType: Class<out FlowLogic<T>>, vararg args: Any?): FlowProgressHandle<T>
+ /**
+ * Attempts to kill a flow. This is not a clean termination and should be reserved for exceptional cases such as stuck fibers.
+ *
+ * @return whether the flow existed and was killed.
+ */
+ fun killFlow(id: StateMachineRunId): Boolean
+
/** Returns Node's NodeInfo, assuming this will not change while the node is running. */
fun nodeInfo(): NodeInfo
diff --git a/node/src/main/kotlin/net/corda/node/internal/CordaRPCOpsImpl.kt b/node/src/main/kotlin/net/corda/node/internal/CordaRPCOpsImpl.kt
index 7a4a8a94e5..398de94bbd 100644
--- a/node/src/main/kotlin/net/corda/node/internal/CordaRPCOpsImpl.kt
+++ b/node/src/main/kotlin/net/corda/node/internal/CordaRPCOpsImpl.kt
@@ -9,6 +9,7 @@ import net.corda.core.crypto.SecureHash
import net.corda.core.flows.FlowInitiator
import net.corda.core.flows.FlowLogic
import net.corda.core.flows.StartableByRPC
+import net.corda.core.flows.StateMachineRunId
import net.corda.core.identity.AbstractParty
import net.corda.core.identity.CordaX500Name
import net.corda.core.identity.Party
@@ -109,6 +110,8 @@ internal class CordaRPCOpsImpl(
return snapshot
}
+ override fun killFlow(id: StateMachineRunId) = smm.killFlow(id)
+
override fun stateMachinesFeed(): DataFeed<List<StateMachineInfo>, StateMachineUpdate> {
return database.transaction {
val (allStateMachines, changes) = smm.track()
diff --git a/node/src/main/kotlin/net/corda/node/internal/RpcAuthorisationProxy.kt b/node/src/main/kotlin/net/corda/node/internal/RpcAuthorisationProxy.kt
index ece6c31561..0f66d391f3 100644
--- a/node/src/main/kotlin/net/corda/node/internal/RpcAuthorisationProxy.kt
+++ b/node/src/main/kotlin/net/corda/node/internal/RpcAuthorisationProxy.kt
@@ -4,6 +4,7 @@ import net.corda.client.rpc.PermissionException
import net.corda.core.contracts.ContractState
import net.corda.core.crypto.SecureHash
import net.corda.core.flows.FlowLogic
+import net.corda.core.flows.StateMachineRunId
import net.corda.core.identity.AbstractParty
import net.corda.core.identity.CordaX500Name
import net.corda.core.identity.Party
@@ -73,6 +74,10 @@ class RpcAuthorisationProxy(private val implementation: CordaRPCOps, private val
implementation.startTrackedFlowDynamic(logicType, *args)
}
+ override fun killFlow(id: StateMachineRunId): Boolean = guard("killFlow") {
+ return implementation.killFlow(id)
+ }
+
override fun nodeInfo(): NodeInfo = guard("nodeInfo", implementation::nodeInfo)
override fun notaryIdentities(): List<Party> = guard("notaryIdentities", implementation::notaryIdentities)
diff --git a/node/src/main/kotlin/net/corda/node/internal/RpcExceptionHandlingProxy.kt b/node/src/main/kotlin/net/corda/node/internal/RpcExceptionHandlingProxy.kt
index f8434b9b52..b533808c81 100644
--- a/node/src/main/kotlin/net/corda/node/internal/RpcExceptionHandlingProxy.kt
+++ b/node/src/main/kotlin/net/corda/node/internal/RpcExceptionHandlingProxy.kt
@@ -5,6 +5,7 @@ import net.corda.core.contracts.ContractState
import net.corda.core.crypto.SecureHash
import net.corda.core.doOnError
import net.corda.core.flows.FlowLogic
+import net.corda.core.flows.StateMachineRunId
import net.corda.core.identity.AbstractParty
import net.corda.core.identity.CordaX500Name
import net.corda.core.internal.concurrent.doOnError
@@ -88,6 +89,8 @@ class RpcExceptionHandlingProxy(private val delegate: SecureCordaRPCOps) : Corda
override fun acceptNewNetworkParameters(parametersHash: SecureHash) = wrap { delegate.acceptNewNetworkParameters(parametersHash) }
+ override fun killFlow(id: StateMachineRunId) = wrap { delegate.killFlow(id) }
+
override fun nodeInfo() = wrap(delegate::nodeInfo)
override fun notaryIdentities() = wrap(delegate::notaryIdentities)
From a276a2555ed049213c9479f1527ce9302cc16dcc Mon Sep 17 00:00:00 2001
From: Andras Slemmer <andras.slemmer@r3cev.com>
Date: Thu, 19 Apr 2018 10:58:48 +0100
Subject: [PATCH 02/25] Add killFlow tests
---
.../net/corda/node/CordaRPCOpsImplTest.kt | 68 +++++++++++++++++++
1 file changed, 68 insertions(+)
diff --git a/node/src/test/kotlin/net/corda/node/CordaRPCOpsImplTest.kt b/node/src/test/kotlin/net/corda/node/CordaRPCOpsImplTest.kt
index ef83ab852c..683ddbcc0b 100644
--- a/node/src/test/kotlin/net/corda/node/CordaRPCOpsImplTest.kt
+++ b/node/src/test/kotlin/net/corda/node/CordaRPCOpsImplTest.kt
@@ -1,5 +1,6 @@
package net.corda.node
+import co.paralleluniverse.fibers.Fiber
import co.paralleluniverse.fibers.Suspendable
import net.corda.client.rpc.PermissionException
import net.corda.core.context.AuthServiceId
@@ -19,6 +20,7 @@ import net.corda.core.node.services.queryBy
import net.corda.core.transactions.SignedTransaction
import net.corda.core.utilities.OpaqueBytes
import net.corda.core.utilities.getOrThrow
+import net.corda.core.utilities.unwrap
import net.corda.finance.DOLLARS
import net.corda.finance.GBP
import net.corda.finance.USD
@@ -43,6 +45,7 @@ import net.corda.testing.node.internal.InternalMockNetwork.MockNode
import net.corda.testing.node.internal.InternalMockNodeParameters
import net.corda.testing.node.testActor
import org.apache.commons.io.IOUtils
+import org.assertj.core.api.Assertions.assertThat
import org.assertj.core.api.Assertions.assertThatExceptionOfType
import org.junit.After
import org.junit.Assert.assertArrayEquals
@@ -293,6 +296,71 @@ class CordaRPCOpsImplTest {
}
}
+ @Test
+ fun `kill a stuck flow through RPC`() {
+
+ withPermissions(startFlow<NewJoinerFlow>(), invokeRpc(CordaRPCOps::killFlow), invokeRpc(CordaRPCOps::stateMachinesFeed), invokeRpc(CordaRPCOps::stateMachinesSnapshot)) {
+
+ val flow = rpc.startFlow(::NewJoinerFlow)
+
+ val killed = rpc.killFlow(flow.id)
+
+ assertThat(killed).isTrue()
+ assertThat(rpc.stateMachinesSnapshot().map { info -> info.id }).doesNotContain(flow.id)
+ }
+ }
+
+ @Test
+ fun `kill a waiting flow through RPC`() {
+
+ withPermissions(startFlow<HopefulFlow>(), invokeRpc(CordaRPCOps::killFlow), invokeRpc(CordaRPCOps::stateMachinesFeed), invokeRpc(CordaRPCOps::stateMachinesSnapshot)) {
+
+ val flow = rpc.startFlow(::HopefulFlow, alice)
+
+ val killed = rpc.killFlow(flow.id)
+
+ assertThat(killed).isTrue()
+ assertThat(rpc.stateMachinesSnapshot().map { info -> info.id }).doesNotContain(flow.id)
+ }
+ }
+
+ @Test
+ fun `kill a nonexistent flow through RPC`() {
+
+ withPermissions(invokeRpc(CordaRPCOps::killFlow)) {
+
+ val nonexistentFlowId = StateMachineRunId.createRandom()
+
+ val killed = rpc.killFlow(nonexistentFlowId)
+
+ assertThat(killed).isFalse()
+ }
+ }
+
+ @StartableByRPC
+ class NewJoinerFlow : FlowLogic<String>() {
+
+ @Suspendable
+ override fun call(): String {
+
+ logger.info("When can I join you say? Almost there buddy...")
+ Fiber.currentFiber().join()
+ return "You'll never get me!"
+ }
+ }
+
+ @StartableByRPC
+ class HopefulFlow(private val party: Party) : FlowLogic<String>() {
+
+ @Suspendable
+ override fun call(): String {
+
+ logger.info("Waiting for a miracle...")
+ val miracle = initiateFlow(party).receive<String>().unwrap { it }
+ return miracle
+ }
+ }
+
class NonRPCFlow : FlowLogic<Unit>() {
@Suspendable
override fun call() = Unit
From 26c6ba61187680b8bc73e65cbffe9ec420c4bd7d Mon Sep 17 00:00:00 2001
From: Tudor Malene <tudor.malene@r3.com>
Date: Tue, 15 May 2018 13:25:28 +0100
Subject: [PATCH 03/25] CORDA-1461 Fix smoke tests (#3150)
---
.../net/corda/java/rpc/StandaloneCordaRPCJavaClientTest.java | 3 ++-
.../src/main/kotlin/net/corda/smoketesting/NodeConfig.kt | 4 +++-
2 files changed, 5 insertions(+), 2 deletions(-)
diff --git a/client/rpc/src/smoke-test/java/net/corda/java/rpc/StandaloneCordaRPCJavaClientTest.java b/client/rpc/src/smoke-test/java/net/corda/java/rpc/StandaloneCordaRPCJavaClientTest.java
index 30edeeb897..32e2747072 100644
--- a/client/rpc/src/smoke-test/java/net/corda/java/rpc/StandaloneCordaRPCJavaClientTest.java
+++ b/client/rpc/src/smoke-test/java/net/corda/java/rpc/StandaloneCordaRPCJavaClientTest.java
@@ -48,7 +48,8 @@ public class StandaloneCordaRPCJavaClientTest {
port.getAndIncrement(),
port.getAndIncrement(),
true,
- Collections.singletonList(rpcUser)
+ Collections.singletonList(rpcUser),
+ true
);
@Before
diff --git a/testing/smoke-test-utils/src/main/kotlin/net/corda/smoketesting/NodeConfig.kt b/testing/smoke-test-utils/src/main/kotlin/net/corda/smoketesting/NodeConfig.kt
index 145846962b..120faa5314 100644
--- a/testing/smoke-test-utils/src/main/kotlin/net/corda/smoketesting/NodeConfig.kt
+++ b/testing/smoke-test-utils/src/main/kotlin/net/corda/smoketesting/NodeConfig.kt
@@ -15,7 +15,8 @@ class NodeConfig(
val rpcPort: Int,
val rpcAdminPort: Int,
val isNotary: Boolean,
- val users: List<User>
+ val users: List<User>,
+ val devMode: Boolean = true
) {
companion object {
val renderOptions: ConfigRenderOptions = ConfigRenderOptions.defaults().setOriginComments(false)
@@ -38,6 +39,7 @@ class NodeConfig(
.root())
.withValue("rpcUsers", valueFor(users.map { it.toConfig().root().unwrapped() }.toList()))
.withValue("useTestClock", valueFor(true))
+ .withValue("devMode", valueFor(devMode))
return if (isNotary) {
config.withValue("notary", ConfigValueFactory.fromMap(mapOf("validating" to true)))
} else {
From da01312ab6fb931e1b4f9526c88640518fa9103d Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 18:01:25 +0200
Subject: [PATCH 04/25] Docs: adjust the certificate hierarchy design doc to
render better in sphinx.
---
.../decisions/levels.md | 17 +++--
.../decisions/tls-trust-root.md | 8 +-
.../ent-1133_certificate_hierarchy/design.md | 75 +++++++++----------
3 files changed, 47 insertions(+), 53 deletions(-)
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md b/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
index 054a11c28b..c34d078cf0 100644
--- a/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
+++ b/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
@@ -1,6 +1,3 @@
-
-
---------------------------------------------
Design Decision: Certificate hierarchy levels
============================================
@@ -12,7 +9,8 @@ The decision of how many levels to include is a key feature of the [proposed cer
### Option 1: 2-level hierarchy
-Under this option, intermediate CA certificates for key signing services (Doorman, Network Map, CRL) are generated as direct children of the root certificate.
+Under this option, intermediate CA certificates for key signing services (Doorman, Network Map, CRL) are generated as
+direct children of the root certificate.
@@ -23,11 +21,13 @@ Under this option, intermediate CA certificates for key signing services (Doorma
#### Disadvantages
-- The Root CA certificate is used to sign both intermediate certificates and CRL. This may be considered as a drawback as the Root CA should be used only to issue other certificates.
+- The Root CA certificate is used to sign both intermediate certificates and CRL. This may be considered as a drawback
+ as the Root CA should be used only to issue other certificates.
### Option 2: 3-level hierarchy
-Under this option, an additional 'Company CA' cert is generated from the root CA cert, which is then used to generate intermediate certificates.
+Under this option, an additional 'Company CA' cert is generated from the root CA cert, which is then used to generate
+intermediate certificates.
@@ -44,4 +44,7 @@ Under this option, an additional 'Company CA' cert is generated from the root CA
Proceed with option 1: 2-level hierarchy.
-No authoritative argument from a security standpoint has been made which would justify the added complexity of option 2. Given the business impact of revoking the Company CA certificate, this must be considered an extremely unlikely event with comparable implications to the revocation of the root certificate itself; hence no practical justification for the addition of the third level is observed.
\ No newline at end of file
+No authoritative argument from a security standpoint has been made which would justify the added complexity of option 2.
+Given the business impact of revoking the Company CA certificate, this must be considered an extremely unlikely event
+with comparable implications to the revocation of the root certificate itself; hence no practical justification for the
+addition of the third level is observed.
\ No newline at end of file
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md b/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
index cb6aac2b86..dae762667b 100644
--- a/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
+++ b/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
@@ -1,12 +1,10 @@
-
-
---------------------------------------------
Design Decision: Certificate Hierarchy
-============================================
+======================================
## Background / Context
-This document purpose is to make a decision on the certificate hierarchy. It is necessary to make this decision as it affects development of features (e.g. Certificate Revocation List).
+This document purpose is to make a decision on the certificate hierarchy. It is necessary to make this decision as it
+affects development of features (e.g. Certificate Revocation List).
## Options Analysis
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/design.md b/docs/source/design/ent-1133_certificate_hierarchy/design.md
index 0708cd63c3..3dc1abb63d 100644
--- a/docs/source/design/ent-1133_certificate_hierarchy/design.md
+++ b/docs/source/design/ent-1133_certificate_hierarchy/design.md
@@ -1,42 +1,29 @@
-
-
-# Design
-
-## Document Control
-
-| Title | Certificate hierarchy |
-| -------------------- | ---------------------------------------- |
-| Date | 23/11/2017 |
-| Author | Michal Kit |
-| Distribution | Shams Asari, Patrick Kuo, Jonathan Sartin, David Lee, Matthew Nesbit, Konstantinos Chalkias |
-| Corda target version | Enterprise |
-| JIRA reference | [ENT-1133](https://r3-cev.atlassian.net/browse/ENT-1133) |
-
-## Approvals
-
-#### Document Sign-off
-
-| Author | |
-| ----------------- | ---------------------------------------- |
-| Reviewer(s) | Shams Asari, Patrick Kuo, Jonathan Sartin, David Lee |
-| Final approver(s) | Mike Hearn |
-
-HIGH LEVEL DESIGN
----
+# Certificate hierarchies
## Overview
-A certificate hierarchy is proposed to enable effective key management in the context of managing Corda networks, primarily Corda Connect. This includes certificate usage for the data signing process and certificate revocation process in case of a security leak. At the same time, result should remain compliant with standards: [OCSP](https://en.wikipedia.org/wiki/Online_Certificate_Status_Protocol), [RFC 5280](https://www.ietf.org/rfc/rfc5280.txt)
+A certificate hierarchy is proposed to enable effective key management in the context of managing Corda networks.
+This includes certificate usage for the data signing process and certificate revocation process
+in case of a key compromise. At the same time, result should remain compliant with
+[OCSP](https://en.wikipedia.org/wiki/Online_Certificate_Status_Protocol) and [RFC 5280](https://www.ietf.org/rfc/rfc5280.txt)
## Background
-Corda utilises public key (asymmetric) cryptography for signing and authentication purposes, and securing communication via TLS. As a result, every entity participating in a Corda network owns one or more cryptographic key pairs {*private, public*}. Integrity and authenticity of an entity's public key is assured using digital certificates following the [X.509 standard](https://tools.ietf.org/html/rfc5280), whereby the receiver’s identity is cryptographically bonded to his or her public key.
+Corda utilises public key cryptography for signing and authentication purposes, and securing communication
+via TLS. As a result, every entity participating in a Corda network owns one or more cryptographic key pairs {*private,
+public*}. Integrity and authenticity of an entity's public key is assured using digital certificates following the
+[X.509 standard](https://tools.ietf.org/html/rfc5280), whereby the receiver’s identity is cryptographically bonded to
+his or her public key.
-Certificate Revocation List (CRL) functionality interacts with the hierarchy of the certificates, as the revocation list for any given certificate must be signed by the certificate's issuer. Therefore if we have a single doorman CA, the sole CRL for node CA certificates would be maintained by that doorman CA, creating a bottleneck. Further, if that doorman CA is compromised and its certificate revoked by the root certificate, the entire network is invalidated as a consequence.
+Certificate Revocation List (CRL) functionality interacts with the hierarchy of the certificates, as the revocation list
+for any given certificate must be signed by the certificate's issuer. Therefore if we have a single doorman CA, the sole
+CRL for node CA certificates would be maintained by that doorman CA, creating a bottleneck. Further, if that doorman CA
+is compromised and its certificate revoked by the root certificate, the entire network is invalidated as a consequence.
The current solution of a single intermediate CA is therefore too simplistic.
-Further, the split and location of intermediate CAs has impact on where long term infrastructure is hosted, as the CRLs for certificates issued by these CAs must be hosted at the same URI for the lifecycle of the issued certificates.
+Further, the split and location of intermediate CAs has impact on where long term infrastructure is hosted, as the CRLs
+for certificates issued by these CAs must be hosted at the same URI for the lifecycle of the issued certificates.
## Scope
@@ -48,21 +35,22 @@ Goals:
Non-goals:
-- Define an end-state mechanism for certificate revocation
+* Define an end-state mechanism for certificate revocation.
## Requirements
-In case of a private key being compromised, or a certificate incorrectly issued, it must be possible for the issuer to revoke the appropriate certificate(s).
-
-The solution needs to scale, keeping in mind that the list of revoked certificates from any given certificate authority is likely to grow indefinitely. However for an initial deployment a temporary certificate authority may be used, and given that it will not require to issue certificates in the long term, scaling issues are less of a concern in this context.
+In case of a private key being compromised, or a certificate incorrectly issued, it must be possible for the issuer to
+revoke the appropriate certificate(s).
+The solution needs to scale, keeping in mind that the list of revoked certificates from any given certificate authority
+is likely to grow indefinitely. However for an initial deployment a temporary certificate authority may be used, and
+given that it will not require to issue certificates in the long term, scaling issues are less of a concern in this
+context.
## Design Decisions
-| Heading (link to completed Decision document using template) | Recommendation |
-| ---------------------------------------- | ---------------------------- |
-| [Hierarchy levels](./decisions/levels.md) | Option 1 - 2-level hierarchy |
-| [TLS trust root](./decisions/tls-trust-root.md) | Option 1 - Single trust root |
+* [Hierarchy levels](./decisions/levels.html). Option 1 - 2-level hierarchy.
+* [TLS trust root](./decisions/tls-trust-root.html). Option 1 - Single trust root.
## **Target** Solution
@@ -77,10 +65,15 @@ The design introduces discrete intermediate CAs below the network trust root for
The use of discrete certificates in this way facilitates subsequent changes to the model, including retiring and replacing certificates as needed.
-Each of the above certificates will specify a CRL allowing the certificate to be revoked. The root CA operator (primarily R3) will be required to maintain this CRL for the lifetime of the process.
+Each of the above certificates will specify a CRL allowing the certificate to be revoked. The root CA operator
+(primarily R3) will be required to maintain this CRL for the lifetime of the process.
-TLS certificates will remain issued under Node CA certificates (see [decision: TLS trust root](./decisions/tls-trust-root.md)).
+TLS certificates will remain issued under Node CA certificates (see [decision: TLS trust
+root](./decisions/tls-trust-root.html)).
-Nodes will be able to specify CRL(s) for TLS certificates they issue; in general, they will be required to such CRLs for the lifecycle of the TLS certificates.
+Nodes will be able to specify CRL(s) for TLS certificates they issue; in general, they will be required to such CRLs for
+the lifecycle of the TLS certificates.
-In the initial state, a single Doorman intermediate CA will be used for issuing all node certificates. Further intermediate CAs for issuance of node CA certificates may subsequently be added to the network, where appropriate, potentially split by geographic region or otherwise.
\ No newline at end of file
+In the initial state, a single doorman intermediate CA will be used for issuing all node certificates. Further
+intermediate CAs for issuance of node CA certificates may subsequently be added to the network, where appropriate,
+potentially split by geographic region or otherwise.
\ No newline at end of file
From 2c16de8ec49089f96b637ed431fd8a0dafdcf2ec Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 17:15:06 +0200
Subject: [PATCH 05/25] Docs: reorganise the left hand table of contents.
It now has an app dev section, an operations section, and a "participate" section.
---
docs/source/_static/css/custom.css | 7 +++++++
docs/source/index.rst | 17 ++++++++++++++---
2 files changed, 21 insertions(+), 3 deletions(-)
diff --git a/docs/source/_static/css/custom.css b/docs/source/_static/css/custom.css
index ebf9a0e17d..db3532e97b 100644
--- a/docs/source/_static/css/custom.css
+++ b/docs/source/_static/css/custom.css
@@ -24,6 +24,13 @@ input {
letter-spacing: 0.3px
}
+p.caption {
+ margin-top: 2em;
+}
+span.caption-text {
+ font-size: larger;
+}
+
p {
font-size: 100%; /* Get rid of RTD rule that assumes nobody changes their browser font size */
}
diff --git a/docs/source/index.rst b/docs/source/index.rst
index bd85109131..05499f86f9 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -30,17 +30,28 @@ We look forward to seeing what you can do with Corda!
.. _`download the PDF`: _static/corda-developer-site.pdf
.. toctree::
+ :caption: App development
:maxdepth: 1
quickstart-index.rst
key-concepts.rst
building-a-cordapp-index.rst
- corda-nodes-index.rst
- corda-networks-index.rst
tutorials-index.rst
tools-index.rst
node-internals-index.rst
component-library-index.rst
- release-process-index.rst
troubleshooting.rst
+
+.. toctree::
+ :caption: Operations
+ :maxdepth: 2
+
+ corda-nodes-index.rst
+ corda-networks-index.rst
+
+.. toctree::
+ :caption: Participate
+ :maxdepth: 2
+
+ release-process-index.rst
other-index.rst
From 6ff91cadca326b77c19222f71df6bcc4ba4e268a Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 18:37:47 +0200
Subject: [PATCH 06/25] Docs: add a note to the top of the cert hierarchies
design doc.
Enable AutoStructify in ReCommonMark to allow rst/md to be mixed.
---
docs/source/conf.py | 13 ++++++++++++-
.../design/ent-1133_certificate_hierarchy/design.md | 4 ++++
2 files changed, 16 insertions(+), 1 deletion(-)
diff --git a/docs/source/conf.py b/docs/source/conf.py
index e24dd0efca..b22f508600 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -13,6 +13,7 @@
# serve to show the default.
import sphinx_rtd_theme
+from recommonmark.transform import AutoStructify
# If extensions (or modules to document with autodoc) are in another directory,
@@ -47,7 +48,7 @@ source_parsers = {
}
# The encoding of source files.
-#source_encoding = 'utf-8-sig'
+source_encoding = 'utf-8-sig'
# The master toctree document.
master_doc = 'index'
@@ -261,3 +262,13 @@ latex_documents = [
# If false, no module index is generated.
#latex_domain_indices = True
+
+web_doc_root = 'https://docs.corda.net/'
+def setup(app):
+ app.add_config_value('recommonmark_config', {
+ 'url_resolver': lambda url: web_doc_root + url,
+ 'auto_toc_tree_section': 'Contents',
+ 'enable_eval_rst': True,
+ 'enable_auto_doc_ref': False,
+ }, True)
+ app.add_transform(AutoStructify)
\ No newline at end of file
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/design.md b/docs/source/design/ent-1133_certificate_hierarchy/design.md
index 3dc1abb63d..3a02026ab0 100644
--- a/docs/source/design/ent-1133_certificate_hierarchy/design.md
+++ b/docs/source/design/ent-1133_certificate_hierarchy/design.md
@@ -1,5 +1,9 @@
# Certificate hierarchies
+```eval_rst
+.. important:: This design doc applies to the main Corda network. Other networks may use different certificate hierarchies.
+```
+
## Overview
A certificate hierarchy is proposed to enable effective key management in the context of managing Corda networks.
From 75b621bdce914cf1d140dbe42ae21def0ee5d5ec Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 17:16:13 +0200
Subject: [PATCH 07/25] Docs: improve appearance of notary service HA doc.
---
.../decisions/decision.md | 12 +-
.../source/design/notary-service-ha/design.md | 226 ++++++++++++++++++
.../diskload.png | Bin
.../galera-cluster.dot | 0
.../galera-cluster.dot.png | Bin
.../galera-test-run.png | Bin
.../overview.svg | 0
.../txs.png | Bin
docs/source/design/notaryServiceHA/design.md | 201 ----------------
docs/source/index.rst | 1 +
10 files changed, 232 insertions(+), 208 deletions(-)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/decisions/decision.md (58%)
create mode 100644 docs/source/design/notary-service-ha/design.md
rename docs/source/design/{notaryServiceHA => notary-service-ha}/diskload.png (100%)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/galera-cluster.dot (100%)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/galera-cluster.dot.png (100%)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/galera-test-run.png (100%)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/overview.svg (100%)
rename docs/source/design/{notaryServiceHA => notary-service-ha}/txs.png (100%)
delete mode 100644 docs/source/design/notaryServiceHA/design.md
diff --git a/docs/source/design/notaryServiceHA/decisions/decision.md b/docs/source/design/notary-service-ha/decisions/decision.md
similarity index 58%
rename from docs/source/design/notaryServiceHA/decisions/decision.md
rename to docs/source/design/notary-service-ha/decisions/decision.md
index e360af396b..819d77c10a 100644
--- a/docs/source/design/notaryServiceHA/decisions/decision.md
+++ b/docs/source/design/notary-service-ha/decisions/decision.md
@@ -1,12 +1,9 @@
-
-
---------------------------------------------
-Design Decision: Notary Backend - Galera or Permazen Raft
-=========================================================
+# Design Decision: Notary Backend - Galera or Permazen Raft
## Background / Context
-We have evaluated Galera and Permazen as a possible replacement for Atomix CopyCat for the storage backend of our Notary Service, more specificalyl the Uniqueness Provider.
+We have evaluated Galera and Permazen as a possible replacement for Atomix CopyCat for the storage backend of our Notary
+Service, more specificalyl the Uniqueness Provider.
## Options Analysis
@@ -14,7 +11,8 @@ We have evaluated Galera and Permazen as a possible replacement for Atomix CopyC
#### Advantages
-1. Wider user base. In a survey of 478 OpenStack deployments, 32% decided to use Galera Cluster in production, see p. 47 of the [survey](https://www.openstack.org/assets/survey/April2017SurveyReport.pdf).
+1. Wider user base. In a survey of 478 OpenStack deployments, 32% decided to use Galera Cluster in production, see p. 47
+ of the [survey](https://www.openstack.org/assets/survey/April2017SurveyReport.pdf).
2. Very little additional work needed.
diff --git a/docs/source/design/notary-service-ha/design.md b/docs/source/design/notary-service-ha/design.md
new file mode 100644
index 0000000000..620336d375
--- /dev/null
+++ b/docs/source/design/notary-service-ha/design.md
@@ -0,0 +1,226 @@
+# HA Notary Service
+
+## Overview
+
+The distributed notary service tracks spent contract states and prevents double spending. For high-availability (HA),
+the backing data store is replicated across a cluster of machines in different data centers. In this model, the cluster
+is meant to be operated by a single party, and only crash faults are tolerated.
+
+## Background
+
+We have an existing HA notary service based on Atomix CopyCat, which an open source state machine replication library
+that implemets the Raft consensus algorithm. However, it doesn't scale well with the number of spent input states, since
+CopyCat takes periodic snapshots of the state machine and the snapshots have to fit in memory.
+
+As an alternative, we propose using a more traditional MySQL database-based approach, using Galera Cluster, which
+provides synchronous multi-master replication. Galera Cluster is based on a MySQL server with Write-Set replication
+(wsrep) API, and the Galera Replication Plugin. Through the wsrep API Galera provides [certification-based replication](http://galeracluster.com/documentation-webpages/certificationbasedreplication.html). It works roughly as
+follows:
+
+1. A single database node executes a transaction optimistically until it reaches the commit point.
+2. Changes made by the trasaction are collected into a write-set.
+3. The write-set broadcasted to the cluster.
+4. Every other node determines whether it can apply the write-set without conflicts.
+5. In case of conflict, the initial node rolls back the transaction.
+
+There are different Galera Cluster implementations, and we chose the Percona XtraDB cluster, as they were historically
+more focused on performance than the competition.
+
+### Decisions
+
+- We are replacing the Atomix CopyCat Raft service.
+- We are using a Percona cluster for Corda Connect.
+- We keep investigating a more scalable solution, based on Permazen or a custom implementation.
+- In the long term, we are interested in providing a BFT solution, perhaps leveraging SGX.
+
+.. toctree::
+
+ decisions/decision.md
+
+#### Advantages of Percona
+
+- Production ready
+- Works out of the box
+- Backed by a company, enterprise and a community support are available
+- Running stable at 30 tx/second (with 10 input states / tx), see figure below, in the section about the long running test
+
+#### Disadvantages of Percona
+
+- Performance deteriorates over time. This happens because Galera only works with the InnoDB storage engine, internally
+ backed by a B+ tree. Since we use state references as primary keys, table insterts results in random B+ tree inserts,
+ which doesn't scale well.
+
+## Scope
+
+### Goals
+
+* We need a stable notary implementation.
+* The implementation has to be easy to operate.
+* We know that the switching costs to a more scalable solution are minimal.
+* We take periodic backups of the consumed states and we test the recovery.
+* We remain flexible and open to future requirements.
+
+### Non-Goals
+
+* For the time being, we don't need a solution that is shardable (for now, all replicas can hold all the state).
+* We don't require a solution that can handle throughput beyond 15 tx/second.
+* We don't design and implement a custom solution in the short term.
+* We don't need rate limiting and fairness.
+
+## Design
+
+
+
+The HA notary service relies on the underlying MySQL uniqueness provider on top of a Percona XtraDB Cluster to prevent
+double spending of input states. The exact data center locations are to be determined. Our notary service replicas
+connect via JDBC to the replicated MySQL service.
+
+Percona XtraDB Cluster is based on Percona Server and the Galera replication library that provides a multi master
+cluster based on synchronous replication. The cluster is as good as its slowest node.
+
+## Main Data Structure
+
+The table below details the data base schema.
+
+| Field name | Type | Description |
+| --------------------- | ------------ | ---------------------------------------- |
+| issue_tx_id | Binary(32) | The ID of the transaction that created the state |
+| issue_tx_output_id | Int unsigned | Where in the transaction the state was created |
+| consuming_tx_id | Binary(32) | The ID of the transaction that consumes the input state |
+| consuming_tx_input_id | Int unsigned | Where in the transaction the state is consumed |
+| consuming_party | Blob | Who is requesting the notarisation (~1 kByte) |
+| commit_time | Timestamp | When this row is committed |
+
+## Functional
+
+The notary service relies on the MySQL uniqueness provider to prevent double spending. The MySQL database holds a single
+table as described above. For HA, the data is synchronously replicated to several nodes by the Galera replication
+plugin.
+
+During notarisation, the uniqueness provider attempts to commit all input states of the Corda transaction in a single
+database transaction. If at least one input state has been previously spent, the entire database transaction fails with
+a batch exception. Unspent states can still be spent in a different later transaction. In case of double spend attempts,
+the uniqueness provider queries the database for details where the conflicting states have been spent. The consuming
+transaction ID, position of the input in the transaction and the requesting party are collected for all conflicting
+inputs, wrapped in a uniqueness exception, thrown by the uniqueness provider. This exception is handled by the notary
+service and turned into a notary exception.
+
+We are using the Hikari connection pool to connect the notary services to all nodes of our Percona cluster. The
+connection pool can be monitored via JMX.
+
+### Deployment
+
+We are planning to run a five node Percona cluster that can tolerate two simultaneous node failures. In case we need to
+provide more storage or upgrade to better hardware we can take a single node down for maintenance and still tolerate one
+unplanned failure.
+
+#### Monitoring cluster membership changes
+
+We setup a [notification command](http://galeracluster.com/documentation-webpages/notificationcmd.html) that gets called
+whenever the node registers a change.
+
+### Management
+
+#### Disaster Recovery
+
+Our disaster recovery strategy covers the following risks:
+1. **Host Failure**. For the 5 node cluster we can tolerate 2 host failures without interrupting operation. This includes both machine and disk failures.
+2. **DC Failure**. The cluster will be distributed across 3 data centers in a 2+2+1 configuration. A loss of one data center can be tolerated without interrupting service operation.
+3. **Data Corruption/Loss**. In cases of data corruption or loss that is replicated across the cluster (for example, accidental data deletion or modification by an administrator) backups will be used to restore the cluster state. In this scenario service downtime will be incurred.
+
+#### Backup and Recovery
+
+Recovery Point Objective: 0
+
+Recovery Time Objective: 1h
+
+Any data loss incurred by the notary service will lead to a compromised ledger, since participants would be able to
+double-spend already notarised states. Note that the backup & recovery procedure is only required for mitigating data
+loss that gets replicated to the entire cluster.
+
+This can be achieved by combining periodic backups of the entire database state, and the MySQL [binary
+log](https://dev.mysql.com/doc/refman/5.7/en/binary-log.html). The binary log contains a log of all executed SQL
+statements, which can be replayed onto a backup to restore the most up-to-date state. In case of an accidental statement
+that removes data (e.g. DROP TABLE), the binary log can be replayed only up to the offending statement.
+
+Scenarios where data corruption is caused by a malicious administrator selectively modifying or removing table rows are
+out of scope.
+
+See [Galera's backup documentation](http://galeracluster.com/documentation-webpages/backingupthecluster.html)
+
+#### Monitoring
+
+See the [Percona Management and Monitoring](https://www.percona.com/doc/percona-monitoring-and-management/index.html) documentation.
+
+* Throughput in Tx / second
+* Throughput in Input states / second
+* Double spend attempts / time
+* High level statistics, e.g. number of double spend attempts in the last 24 hours by two parties
+* Double spend attempts per party
+* Latency p50, p99
+* Number of input states in DB
+* Size of DB
+* Replication Queues, see [monitoring Galera](http://galeracluster.com/documentation-webpages/monitoringthecluster.html)
+
+#### Alerting
+
+Alerts are triggered based on relevant metrics, like number of active members in the cluster and size of write queues of
+individual nodes. We are configuring PMM to forward alerts to PagerDuty, where we do the routing to the operators who
+are on call. We configure email alerting and slack integration as additional channels.
+
+## Security
+
+SSL encrypted links between the nodes of the Galera cluster and the notary service and the Galera cluster. See the [SSL
+config documentation](http://galeracluster.com/documentation-webpages/sslconfig.html).
+
+The managed disks on Azure [are encrypted](https://azure.microsoft.com/en-gb/blog/azure-managed-disks-sse/) with keys
+managed by Microsoft. We have to trust our cloud provider anyways, so we don't do our own disk encryption.
+
+## Testing the throughput of the uniqueness provider
+
+We are using a custom load test flow that includes double spend attempts. The application metrics are forwarded to
+Graphite and our Percona cluster is monitored by Percona's metrics and monitoring tool (PMM).
+
+In our tests, the number of input states is Poisson-distributed with an average four input states per transaction. To
+increase throughput in terms of notarised input states per second, we could batch transactions in the future. We tested
+batching with batch sizes of up to 1000 input states per batch. And reached a throughput of 2k input states / second for
+batch sizes 250-1000. When we detect a double spend attempt, we could send through individual transactions to find the
+source of the conflict or bisect the batch.
+
+## Long running test
+
+
+
+The figure above shows the throughput in transactions per second over four days, while writing to the cluster with up to
+three clients. The dips occur while we take nodes off-line to simulate failure and to upgrade the disks. In the last
+phase of the test all nodes were equipped with managed 1TB SSDs and and the cluster notarised at more than 300 input
+states per second while holding more than 100 M input states in the DB.
+
+Glitches in throughput can occur when the write queue of a node is filling up. I'm assuming this is due to increased
+disk latency when the cloud SAN disk is busy with other operations. When the maximum write queue size is reached, the
+slow node isn't accepting writes any more and sends out flow control messages to its peers to stop replicating (I'm
+assuming this leads to messages being queued in their send queue). The queue sizes are monitored by the PMM tool and we
+can setup alerts based on a configured maximum write queue size or when we see "flow control messages".
+
+We found that managed SSDs of 1TB in size performed better than a RAID 10 array of four 128GB SSDs. The latency of the
+1TB SSDs was stable around 8ms, while we have observed latency spikes up to 64ms on the smaller SSDs. The disk load on
+the slowest node in terms of disk latency was around 6-8 outstanding writes during the last phase of the test. Setting
+up a RAID 10 was a mistake, for best performance we should have used a RAID 0 configuration, since the Azure disks are
+replicated.
+
+
+
+### Recommended Cloud Server Configuration
+
+We recommend `Standard DS13 v2 (8 cores, 56 GB memory)` servers with 1 TB managed SSD disks attached. To make the setup
+more cost effective, we can run on more affordable cloud instances, when we have lower demands in terms of throughput.
+The optimum is yet to be found. It is possible to upgrade or downgrade the nodes of the cluster, one node at a time.
+
+Be prepared to kill and replace the slowest node of the cluster, especially in the cloud, since the Galera cluster will
+not perform better than the slowest node. The same goes for SAN disks. If you are unlucky and your disk has high
+latency, try replacing it with a new one. Maybe your get better performance with your new disk.
+
+### Disk upgrade using LVM
+
+We recommend using LVM in production for convenience and flexibility. During our long running test we performed a hot
+disk upgrade using LVM.
diff --git a/docs/source/design/notaryServiceHA/diskload.png b/docs/source/design/notary-service-ha/diskload.png
similarity index 100%
rename from docs/source/design/notaryServiceHA/diskload.png
rename to docs/source/design/notary-service-ha/diskload.png
diff --git a/docs/source/design/notaryServiceHA/galera-cluster.dot b/docs/source/design/notary-service-ha/galera-cluster.dot
similarity index 100%
rename from docs/source/design/notaryServiceHA/galera-cluster.dot
rename to docs/source/design/notary-service-ha/galera-cluster.dot
diff --git a/docs/source/design/notaryServiceHA/galera-cluster.dot.png b/docs/source/design/notary-service-ha/galera-cluster.dot.png
similarity index 100%
rename from docs/source/design/notaryServiceHA/galera-cluster.dot.png
rename to docs/source/design/notary-service-ha/galera-cluster.dot.png
diff --git a/docs/source/design/notaryServiceHA/galera-test-run.png b/docs/source/design/notary-service-ha/galera-test-run.png
similarity index 100%
rename from docs/source/design/notaryServiceHA/galera-test-run.png
rename to docs/source/design/notary-service-ha/galera-test-run.png
diff --git a/docs/source/design/notaryServiceHA/overview.svg b/docs/source/design/notary-service-ha/overview.svg
similarity index 100%
rename from docs/source/design/notaryServiceHA/overview.svg
rename to docs/source/design/notary-service-ha/overview.svg
diff --git a/docs/source/design/notaryServiceHA/txs.png b/docs/source/design/notary-service-ha/txs.png
similarity index 100%
rename from docs/source/design/notaryServiceHA/txs.png
rename to docs/source/design/notary-service-ha/txs.png
diff --git a/docs/source/design/notaryServiceHA/design.md b/docs/source/design/notaryServiceHA/design.md
deleted file mode 100644
index 61ca61c399..0000000000
--- a/docs/source/design/notaryServiceHA/design.md
+++ /dev/null
@@ -1,201 +0,0 @@
-
-
-# HA Notary Service Design
-
-DOCUMENT MANAGEMENT
----
-
-## Document Control
-
-| Title | HA Notary Design |
-| -------------------- | ---------------------------------------- |
-| Date | 13 December 2017 |
-| Author | Thomas Schroeter and Andrius Dagys |
-| Distribution | Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery |
-| Corda target version | Enterprise |
-| JIRA reference | https://r3-cev.atlassian.net/browse/ENT-1232 |
-
-## Approvals
-
-#### Document Sign-off
-
-| Author | |
-| ----------------- | ---------------------------------------- |
-| Reviewer(s) | (GitHub PR reviewers) |
-| Final approver(s) | (GitHub PR approver(s) from Design Approval Board) |
-
-#### Design Decisions
-
-| Description | Recommendation |
-| ---------------------------------------- | -------------- |
-| [Galera or Permazen](decisions/decision.md) | Galera |
-
-HIGH LEVEL DESIGN
----
-
-## Overview
-
-The distributed notary service tracks spent contract states and prevents double spending. For high-availability (HA), the backing data store is replicated across a cluster of machines in different data centers. In this model, the cluster is meant to be operated by a single party, and only crash faults are tolerated.
-
-## Background
-
-We have an existing HA notary service based on Atomix CopyCat, which an open source state machine replication library that implemets the Raft consensus algorithm. However, it doesn't scale well with the number of spent input states, since CopyCat takes periodic snapshots of the state machine and the snapshots have to fit in memory.
-
-As an alternative, we propose using a more traditional MySQL database-based approach, using Galera Cluster, which provides synchronous multi-master replication. Galera Cluster is based on a MySQL server with Write-Set replication (wsrep) API, and the Galera Replication Plugin. Through the wsrep API Galera provides [certification-based replication](http://galeracluster.com/documentation-webpages/certificationbasedreplication.html). It works roughly as follows:
-1. A single database node executes a transaction optimistically until it reaches the commit point.
-2. Changes made by the trasaction are collected into a write-set.
-3. The write-set broadcasted to the cluster.
-4. Every other node determines whether it can apply the write-set without conflicts.
-5. In case of conflict, the initial node rolls back the transaction.
-
-There are different Galera Cluster implementations, and we chose the Percona XtraDB cluster, as they were historically more focused on performance than the competition.
-
-### Decisions
-
-- We are replacing the Atomix CopyCat Raft service.
-- We are using a Percona cluster for Corda Connect.
-- We keep investigating a more scalable solution, based on Permazen or a custom implementation.
-- In the long term, we are interested in providing a BFT solution, perhaps leveraging SGX.
-
-#### Advantages of Percona
-
-- Production ready
-- Works out of the box
-- Backed by a company, enterprise and a community support are available
-- Running stable at 30 tx/second (with 10 input states / tx), see figure below, in the section about the long running test
-
-#### Disadvantages of Percona
-
-- Performance deteriorates over time. This happens because Galera only works with the InnoDB storage engine, internally backed by a B+ tree. Since we use state references as primary keys, table insterts results in random B+ tree inserts, which doesn't scale well.
-
-## Scope
-
-### Goals
-
-* We need a stable notary implementation.
-* The implementation has to be easy to operate.
-* We know that the switching costs to a more scalable solution are minimal.
-* We take periodic backups of the consumed states and we test the recovery.
-* We remain flexible and open to future requirements.
-
-### Non-Goals
-
-* For the time being, we don't need a solution that is shardable (for now, all replicas can hold all the state).
-* We don't require a solution that can handle throughput beyond 15 tx/second.
-* We don't design and implement a custom solution in the short term.
-* We don't need rate limiting and fairness.
-
-## Design Decisions
-
-
-
-The HA notary service relies on the underlying MySQL uniqueness provider on top of a Percona XtraDB Cluster to prevent double spending of input states. The exact data center locations are to be determined. Our notary service replicas connect via JDBC to the replicated MySQL service.
-
-Percona XtraDB Cluster is based on Percona Server and the Galera replication library that provides a multi master cluster based on synchronous replication. The cluster is as good as its slowest node.
-
-TECHNICAL DETAILS
----
-
-## Main Data Structure
-
-The table below details the data base schema.
-
-| Field name | Type | Description |
-| --------------------- | ------------ | ---------------------------------------- |
-| issue_tx_id | Binary(32) | The ID of the transaction that created the state |
-| issue_tx_output_id | Int unsigned | Where in the transaction the state was created |
-| consuming_tx_id | Binary(32) | The ID of the transaction that consumes the input state |
-| consuming_tx_input_id | Int unsigned | Where in the transaction the state is consumed |
-| consuming_party | Blob | Who is requesting the notarisation (~1 kByte) |
-| commit_time | Timestamp | When this row is committed |
-
-## Functional
-
-The notary service relies on the MySQL uniqueness provider to prevent double spending. The MySQL database holds a single table as described above. For HA, the data is synchronously replicated to several nodes by the Galera replication plugin.
-
-During notarisation, the uniqueness provider attempts to commit all input states of the Corda transaction in a single database transaction. If at least one input state has been previously spent, the entire database transaction fails with a batch exception. Unspent states can still be spent in a different later transaction. In case of double spend attempts, the uniqueness provider queries the database for details where the conflicting states have been spent. The consuming transaction ID, position of the input in the transaction and the requesting party are collected for all conflicting inputs, wrapped in a uniqueness exception, thrown by the uniqueness provider. This exception is handled by the notary service and turned into a notary exception.
-
-We are using the Hikari connection pool to connect the notary services to all nodes of our Percona cluster. The connection pool can be monitored via JMX.
-
-### Deployment
-
-We are planning to run a five node Percona cluster that can tolerate two simultaneous node failures. In case we need to provide more storage or upgrade to better hardware we can take a single node down for maintenance and still tolerate one unplanned failure.
-
-#### Monitoring cluster membership changes
-
-We setup a [notification command](http://galeracluster.com/documentation-webpages/notificationcmd.html) that gets called whenever the node registers a change.
-
-### Management
-
-#### Disaster Recovery
-
-Our disaster recovery strategy covers the following risks:
-1. **Host Failure**. For the 5 node cluster we can tolerate 2 host failures without interrupting operation. This includes both machine and disk failures.
-2. **DC Failure**. The cluster will be distributed across 3 data centers in a 2+2+1 configuration. A loss of one data center can be tolerated without interrupting service operation.
-3. **Data Corruption/Loss**. In cases of data corruption or loss that is replicated across the cluster (for example, accidental data deletion or modification by an administrator) backups will be used to restore the cluster state. In this scenario service downtime will be incurred.
-
-##### Backup and Recovery
-
-Recovery Point Objective: 0
-
-Recovery Time Objective: 1h
-
-Any data loss incurred by the notary service will lead to a compromised ledger, since participants would be able to double-spend already notarised states. Note that the backup & recovery procedure is only required for mitigating data loss that gets replicated to the entire cluster.
-
-This can be achieved by combining periodic backups of the entire database state, and the MySQL [binary log](https://dev.mysql.com/doc/refman/5.7/en/binary-log.html). The binary log contains a log of all executed SQL statements, which can be replayed onto a backup to restore the most up-to-date state. In case of an accidental statement that removes data (e.g. DROP TABLE), the binary log can be replayed only up to the offending statement.
-
-Scenarios where data corruption is caused by a malicious administrator selectively modifying or removing table rows are out of scope.
-
-See [Galera's backup documentation](http://galeracluster.com/documentation-webpages/backingupthecluster.html)
-
-#### Monitoring
-
-See the [Percona Management and Monitoring](https://www.percona.com/doc/percona-monitoring-and-management/index.html) documentation.
-
-* Throughput in Tx / second
-* Throughput in Input states / second
-* Double spend attempts / time
-* High level statistics, e.g. number of double spend attempts in the last 24 hours by two parties
-* Double spend attempts per party
-* Latency p50, p99
-* Number of input states in DB
-* Size of DB
-* Replication Queues, see [monitoring Galera](http://galeracluster.com/documentation-webpages/monitoringthecluster.html)
-
-#### Alerting
-
-Alerts are triggered based on relevant metrics, like number of active members in the cluster and size of write queues of individual nodes. We are configuring PMM to forward alerts to PagerDuty, where we do the routing to the operators who are on call. We configure email alerting and slack integration as additional channels.
-
-## Security
-
-SSL encrypted links between the nodes of the Galera cluster and the notary service and the Galera cluster. See the [SSL config documentation](http://galeracluster.com/documentation-webpages/sslconfig.html).
-
-The managed disks on Azure [are encrypted](https://azure.microsoft.com/en-gb/blog/azure-managed-disks-sse/) with keys managed by Microsoft. We have to trust our cloud provider anyways, so we don't do our own disk encryption.
-
-## Testing the throughput of the uniqueness provider
-
-We are using a custom load test flow that includes double spend attempts. The application metrics are forwarded to Graphite and our Percona cluster is monitored by Percona's metrics and monitoring tool (PMM).
-
-In our tests, the number of input states is Poisson-distributed with an average four input states per transaction. To increase throughput in terms of notarised input states per second, we could batch transactions in the future. We tested batching with batch sizes of up to 1000 input states per batch. And reached a throughput of 2k input states / second for batch sizes 250-1000. When we detect a double spend attempt, we could send through individual transactions to find the source of the conflict or bisect the batch.
-
-## Long running test
-
-
-
-The figure above shows the throughput in transactions per second over four days, while writing to the cluster with up to three clients. The dips occur while we take nodes off-line to simulate failure and to upgrade the disks. In the last phase of the test all nodes were equipped with managed 1TB SSDs and and the cluster notarised at more than 300 input states per second while holding more than 100 M input states in the DB.
-
-Glitches in throughput can occur when the write queue of a node is filling up. I'm assuming this is due to increased disk latency when the cloud SAN disk is busy with other operations. When the maximum write queue size is reached, the slow node isn't accepting writes any more and sends out flow control messages to its peers to stop replicating (I'm assuming this leads to messages being queued in their send queue). The queue sizes are monitored by the PMM tool and we can setup alerts based on a configured maximum write queue size or when we see "flow control messages".
-
-We found that managed SSDs of 1TB in size performed better than a RAID 10 array of four 128GB SSDs. The latency of the 1TB SSDs was stable around 8ms, while we have observed latency spikes up to 64ms on the smaller SSDs. The disk load on the slowest node in terms of disk latency was around 6-8 outstanding writes during the last phase of the test. Setting up a RAID 10 was a mistake, for best performance we should have used a RAID 0 configuration, since the Azure disks are replicated.
-
-
-
-### Recommended Cloud Server Configuration
-
-We recommend `Standard DS13 v2 (8 cores, 56 GB memory)` servers with 1 TB managed SSD disks attached. To make the setup more cost effective, we can run on more affordable cloud instances, when we have lower demands in terms of throughput. The optimum is yet to be found. It is possible to upgrade or downgrade the nodes of the cluster, one node at a time.
-
-Be prepared to kill and replace the slowest node of the cluster, especially in the cloud, since the Galera cluster will not perform better than the slowest node. The same goes for SAN disks. If you are unlucky and your disk has high latency, try replacing it with a new one. Maybe your get better performance with your new disk.
-
-### Disk upgrade using LVM
-
-We recommend using LVM in production for convenience and flexibility. During our long running test we performed a hot disk upgrade using LVM.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index f2e7749a69..324d8c1062 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -63,6 +63,7 @@ We look forward to seeing what you can do with Corda!
design/hadr/design.md
design/kafka-notary/design.md
design/monitoring-management/design.md
+ design/notary-service-ha/design.md
.. toctree::
:caption: Participate
From 0dd06571942a2211965353d35ff2a2325552263c Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 17:31:42 +0200
Subject: [PATCH 08/25] Docs: add support for Markdown to Sphinx
---
docs/requirements.txt | 6 ++++--
docs/source/conf.py | 6 ++++--
2 files changed, 8 insertions(+), 4 deletions(-)
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 9c409bc241..91cd59da01 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1,9 +1,10 @@
-## The following requirements were added by pip freeze:
alabaster==0.7.8
Babel==2.3.4
certifi==2018.4.16
chardet==3.0.4
+CommonMark==0.5.5
docutils==0.12
+future==0.16.0
idna==2.6
imagesize==0.7.1
Jinja2==2.8
@@ -14,9 +15,10 @@ Pillow==5.1.0
Pygments==2.2.0
pyparsing==2.2.0
pytz==2016.4
+recommonmark==0.4.0
reportlab==3.4.0
requests==2.18.4
-rst2pdf==0.93
+rst2pdf==0.93.dev0
six==1.10.0
snowballstemmer==1.2.1
Sphinx==1.7.4
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 5684a4962e..e24dd0efca 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -41,8 +41,10 @@ templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
-# source_suffix = ['.rst', '.md']
-source_suffix = '.rst'
+source_suffix = ['.rst', '.md']
+source_parsers = {
+ '.md': 'recommonmark.parser.CommonMarkParser',
+}
# The encoding of source files.
#source_encoding = 'utf-8-sig'
From 534863fb7c67b595a05065bb5cb0cfabaaddda49 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 18:39:19 +0200
Subject: [PATCH 09/25] Minor: rename directory for cert hierarchies doc to
remove JIRA ref.
---
.../decisions/levels.md | 0
.../decisions/tls-trust-root.md | 0
.../design.md | 0
.../images/cert_structure_v2.png | Bin
.../images/current.png | Bin
.../images/option1.png | Bin
.../images/option2.png | Bin
.../images/option3.png | Bin
docs/source/index.rst | 2 +-
9 files changed, 1 insertion(+), 1 deletion(-)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/decisions/levels.md (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/decisions/tls-trust-root.md (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/design.md (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/images/cert_structure_v2.png (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/images/current.png (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/images/option1.png (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/images/option2.png (100%)
rename docs/source/design/{ent-1133_certificate_hierarchy => certificate-hierarchies}/images/option3.png (100%)
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md b/docs/source/design/certificate-hierarchies/decisions/levels.md
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
rename to docs/source/design/certificate-hierarchies/decisions/levels.md
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md b/docs/source/design/certificate-hierarchies/decisions/tls-trust-root.md
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
rename to docs/source/design/certificate-hierarchies/decisions/tls-trust-root.md
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/design.md b/docs/source/design/certificate-hierarchies/design.md
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/design.md
rename to docs/source/design/certificate-hierarchies/design.md
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/cert_structure_v2.png b/docs/source/design/certificate-hierarchies/images/cert_structure_v2.png
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/images/cert_structure_v2.png
rename to docs/source/design/certificate-hierarchies/images/cert_structure_v2.png
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/current.png b/docs/source/design/certificate-hierarchies/images/current.png
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/images/current.png
rename to docs/source/design/certificate-hierarchies/images/current.png
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/option1.png b/docs/source/design/certificate-hierarchies/images/option1.png
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/images/option1.png
rename to docs/source/design/certificate-hierarchies/images/option1.png
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/option2.png b/docs/source/design/certificate-hierarchies/images/option2.png
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/images/option2.png
rename to docs/source/design/certificate-hierarchies/images/option2.png
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/option3.png b/docs/source/design/certificate-hierarchies/images/option3.png
similarity index 100%
rename from docs/source/design/ent-1133_certificate_hierarchy/images/option3.png
rename to docs/source/design/certificate-hierarchies/images/option3.png
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 3e3ea2d0ad..80c79336f6 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -57,7 +57,7 @@ We look forward to seeing what you can do with Corda!
:maxdepth: 2
design/design-review-process.md
- design/ent-1133_certificate_hierarchy/design.md
+ design/certificate-hierarchies/design.md
.. toctree::
:caption: Participate
From 18958723079aad1610ade955c2a0f97578265b92 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 18:44:39 +0200
Subject: [PATCH 10/25] Docs: improve rendering of "failure detection and
master election"
---
.../{HW Design-Atomix.png => atomix.png} | Bin
.../design.md | 74 ++++++++++--------
...{HW Design-Zookeeper.png => zookeeper.png} | Bin
3 files changed, 41 insertions(+), 33 deletions(-)
rename docs/source/design/failure-detection-master-election/{HW Design-Atomix.png => atomix.png} (100%)
rename docs/source/design/failure-detection-master-election/{HW Design-Zookeeper.png => zookeeper.png} (100%)
diff --git a/docs/source/design/failure-detection-master-election/HW Design-Atomix.png b/docs/source/design/failure-detection-master-election/atomix.png
similarity index 100%
rename from docs/source/design/failure-detection-master-election/HW Design-Atomix.png
rename to docs/source/design/failure-detection-master-election/atomix.png
diff --git a/docs/source/design/failure-detection-master-election/design.md b/docs/source/design/failure-detection-master-election/design.md
index 8e8b58409d..f8e3f711ca 100644
--- a/docs/source/design/failure-detection-master-election/design.md
+++ b/docs/source/design/failure-detection-master-election/design.md
@@ -1,24 +1,8 @@
-
+# Failure detection and master election
-# Failure detection and master election: design proposal
-
--------------------
-DOCUMENT MANAGEMENT
-===================
-
-## Document Control
-
-* Failure detection and master election: design proposal
-* Date: 23rd January 2018
-* Author: Bogdan Paunescu
-* Distribution: Design Review Board, Product Management, DevOps, Services - Technical (Consulting)
-* Corda target version: Enterprise
-
-## Document History
-
---------------------------------------------
-HIGH LEVEL DESIGN
-============================================
+```eval_rst
+.. important:: This design document describes a feature of Corda Enterprise.
+```
## Background
@@ -31,7 +15,8 @@ This document proposes two solutions to the above mentioned issues. The strength
## Constraints/Requirements
-Typical modern HA environments rely on a majority quorum of the cluster to be alive and operating normally in order to service requests. This means:
+Typical modern HA environments rely on a majority quorum of the cluster to be alive and operating normally in order to
+service requests. This means:
* A cluster of 1 replica can tolerate 0 failures
* A cluster of 2 replicas can tolerate 0 failures
@@ -39,23 +24,34 @@ Typical modern HA environments rely on a majority quorum of the cluster to be al
* A cluster of 4 replicas can tolerate 1 failure
* A cluster of 5 replicas can tolerate 2 failures
-This already poses a challenge to us as clients will most likely want to deploy the minimum possible number of R3 Corda nodes. Ideally that minimum would be 3 but a solution for only 2 nodes should be available (even if it provides a lesser degree of HA than 3, 5 or more nodes). The problem with having only two nodes in the cluster is there is no distinction between failure and network partition.
+This already poses a challenge to us as clients will most likely want to deploy the minimum possible number of R3 Corda
+nodes. Ideally that minimum would be 3 but a solution for only 2 nodes should be available (even if it provides a lesser
+degree of HA than 3, 5 or more nodes). The problem with having only two nodes in the cluster is there is no distinction
+between failure and network partition.
-Users should be allowed to set a preference for which node to be active in a hot-warm environment. This would probably be done with the help of a property(persisted in the DB in order to be changed on the fly). This is an important functionality as users might want to have the active node on better hardware and switch to the back-ups and back as soon as possible.
+Users should be allowed to set a preference for which node to be active in a hot-warm environment. This would probably
+be done with the help of a property(persisted in the DB in order to be changed on the fly). This is an important
+functionality as users might want to have the active node on better hardware and switch to the back-ups and back as soon
+as possible.
It would also be helpful for the chosen solution to not add deployment complexity.
## Proposed solutions
-Based on what is needed for Hot-Warm, 1 active node and at least one passive node (started but in stand-by mode), and the constraints identified above (automatic failover with at least 2 nodes and master preference), two frameworks have been explored: Zookeeper and Atomix. Neither apply to our use cases perfectly and require some tinkering to solve our issues, especially the preferred master election.
+Based on what is needed for Hot-Warm, 1 active node and at least one passive node (started but in stand-by mode), and
+the constraints identified above (automatic failover with at least 2 nodes and master preference), two frameworks have
+been explored: Zookeeper and Atomix. Neither apply to our use cases perfectly and require some tinkering to solve our
+issues, especially the preferred master election.
### Zookeeper
-
+
-Preferred leader election - while the default algorithm does not take into account a leader preference, a custom algorithm can be implemented to suit our needs.
+Preferred leader election - while the default algorithm does not take into account a leader preference, a custom
+algorithm can be implemented to suit our needs.
-Environment with 2 nodes - while this type of set-up can't distinguish between a node failure and network partition, a workaround can be implemented by having 2 nodes and 3 zookeeper instances(3rd would be needed to form a majority).
+Environment with 2 nodes - while this type of set-up can't distinguish between a node failure and network partition, a
+workaround can be implemented by having 2 nodes and 3 zookeeper instances(3rd would be needed to form a majority).
Pros:
- Very well documented
@@ -69,11 +65,12 @@ Cons:
### Atomix
-
+
Preferred leader election - cannot be implemented easily; a creative solution would be required.
-Environment with 2 nodes - using only embedded replicas, there's no solution; Atomix comes also as a standalone server which could be run outside the node as a 3rd entity to allow a quorum(see image above).
+Environment with 2 nodes - using only embedded replicas, there's no solution; Atomix comes also as a standalone server
+which could be run outside the node as a 3rd entity to allow a quorum(see image above).
Pros:
- Easy to get started with
@@ -87,9 +84,14 @@ Cons:
## Recommendations
-If Zookeeper is chosen, we would need to look into a solution for easy configuration and deployment (maybe docker images). Custom leader election can be implemented by following one of the [examples](https://github.com/SainTechnologySolutions/allprogrammingtutorials/tree/master/apache-zookeeper/leader-election) available online.
+If Zookeeper is chosen, we would need to look into a solution for easy configuration and deployment (maybe docker
+images). Custom leader election can be implemented by following one of the
+[examples](https://github.com/SainTechnologySolutions/allprogrammingtutorials/tree/master/apache-zookeeper/leader-election)
+available online.
-If Atomix is chosen, a solution to enforce some sort of preferred leader needs to found. One way to do it would be to have the Corda cluster leader be a separate entity from the Atomix cluster leader. Implementing the election would then be done using the distributed resources made available by the framework.
+If Atomix is chosen, a solution to enforce some sort of preferred leader needs to found. One way to do it would be to
+have the Corda cluster leader be a separate entity from the Atomix cluster leader. Implementing the election would then
+be done using the distributed resources made available by the framework.
## Conclusions
@@ -97,9 +99,15 @@ Whichever solution is chosen, using 2 nodes in a Hot-Warm environment is not ide
Almost every configuration option that these frameworks offer should be exposed through node.conf.
-We've looked into using Galera which is currently used for the Notary cluster for storing the committed state hashes. It offers multi-master read/write and certification-based replication which is not leader based. It could be used to implement automatic failure detection and master election(similar to our current mutual exclusion).However, we found that it doesn't suit our needs because:
+We've looked into using Galera which is currently used for the notary cluster for storing the committed state hashes. It
+offers multi-master read/write and certification-based replication which is not leader based. It could be used to
+implement automatic failure detection and master election(similar to our current mutual exclusion).However, we found
+that it doesn't suit our needs because:
+
- it adds to deployment complexity
- usable only with MySQL and InnoDB storage engine
- we'd have to implement node failure detection and master election from scratch; in this regard both Atomix and Zookeeper are better suited
-Our preference would be Zookeeper despite not being as lightweight and deployment-friendly as Atomix. The wide spread use, proper documentation and flexibility to use it not only for automatic failover and master election but also configuration management(something we might consider moving forward) makes it a better fit for our needs.
+Our preference would be Zookeeper despite not being as lightweight and deployment-friendly as Atomix. The wide spread
+use, proper documentation and flexibility to use it not only for automatic failover and master election but also
+configuration management(something we might consider moving forward) makes it a better fit for our needs.
diff --git a/docs/source/design/failure-detection-master-election/HW Design-Zookeeper.png b/docs/source/design/failure-detection-master-election/zookeeper.png
similarity index 100%
rename from docs/source/design/failure-detection-master-election/HW Design-Zookeeper.png
rename to docs/source/design/failure-detection-master-election/zookeeper.png
From 3f44910a2bd2df44d81003582a8cc83142fb29c4 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 15:29:42 +0200
Subject: [PATCH 11/25] Docs: use toctree to link design decisions into site.
Update float design doc to fit with docsite.
---
.../design/certificate-hierarchies/design.md | 9 +-
.../design.md | 12 +-
.../drb-meeting-20180131.md | 55 ++--
.../float/decisions/drb-meeting-20171116.md | 18 +-
.../design/float/decisions/e2e-encryption.md | 8 +-
.../design/float/decisions/p2p-protocol.md | 14 +-
.../float/decisions/pluggable-broker.md | 21 +-
.../design/float/decisions/ssl-termination.md | 18 +-
docs/source/design/float/design.md | 241 +++++++++++-------
docs/source/index.rst | 1 +
10 files changed, 228 insertions(+), 169 deletions(-)
diff --git a/docs/source/design/certificate-hierarchies/design.md b/docs/source/design/certificate-hierarchies/design.md
index 3a02026ab0..b4a99e395e 100644
--- a/docs/source/design/certificate-hierarchies/design.md
+++ b/docs/source/design/certificate-hierarchies/design.md
@@ -53,8 +53,13 @@ context.
## Design Decisions
-* [Hierarchy levels](./decisions/levels.html). Option 1 - 2-level hierarchy.
-* [TLS trust root](./decisions/tls-trust-root.html). Option 1 - Single trust root.
+```eval_rst
+.. toctree::
+ :maxdepth: 2
+
+ decisions/levels.md
+ decisions/tls-trust-root.md
+```
## **Target** Solution
diff --git a/docs/source/design/failure-detection-master-election/design.md b/docs/source/design/failure-detection-master-election/design.md
index f8e3f711ca..c9f2da8fae 100644
--- a/docs/source/design/failure-detection-master-election/design.md
+++ b/docs/source/design/failure-detection-master-election/design.md
@@ -36,6 +36,16 @@ as possible.
It would also be helpful for the chosen solution to not add deployment complexity.
+## Design decisions
+
+```eval_rst
+.. toctree::
+ :maxdepth: 2
+
+ drb-meeting-20180131.md
+
+```
+
## Proposed solutions
Based on what is needed for Hot-Warm, 1 active node and at least one passive node (started but in stand-by mode), and
@@ -110,4 +120,4 @@ that it doesn't suit our needs because:
Our preference would be Zookeeper despite not being as lightweight and deployment-friendly as Atomix. The wide spread
use, proper documentation and flexibility to use it not only for automatic failover and master election but also
-configuration management(something we might consider moving forward) makes it a better fit for our needs.
+configuration management(something we might consider moving forward) makes it a better fit for our needs.
\ No newline at end of file
diff --git a/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md b/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
index 47c0e0707c..fbe57f2b6d 100644
--- a/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
+++ b/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
@@ -1,8 +1,4 @@
-
-
---------------------------------------------
-Design Review Board Meeting Minutes
-============================================
+# Design Review Board Meeting Minutes
**Date / Time:** Jan 31 2018, 11.00
@@ -45,33 +41,54 @@ MN presented a high level summary of the options:
Wrapper library choice for Zookeeper requires some analysis
-MH: predictable source of API for RAFT implementations and Zookeeper compared to Atomix. Be better to have master selector implemented as an abstraction
+MH: predictable source of API for RAFT implementations and Zookeeper compared to Atomix. Be better to have master
+selector implemented as an abstraction
-MH: hybrid approach possible - 3rd node for oversight, i.e. 2 embedded in the node, 3rd is an observer. Zookeeper can have one node in primary data centre, one in secondary data centre and 3rd as tie-breaker
+MH: hybrid approach possible - 3rd node for oversight, i.e. 2 embedded in the node, 3rd is an observer. Zookeeper can
+have one node in primary data centre, one in secondary data centre and 3rd as tie-breaker
-WN: why are we concerned about cost of 3 machines? MN: we're seeing / hearing clients wanting to run many nodes on one VM. Zookeeper is good for this since 1 Zookepper cluster can serve 100+ nodes
+WN: why are we concerned about cost of 3 machines? MN: we're seeing / hearing clients wanting to run many nodes on one
+VM. Zookeeper is good for this since 1 Zookepper cluster can serve 100+ nodes
-MH: terminology clarification required: what holds the master lock? Ideally would be good to see design thinking around split node and which bits need HA. MB: as a long term vision, ideally have 1 database for many IDs and the flows for those IDs are load balanced. Regarding services internally to node being suspended, this is being investigated.
+MH: terminology clarification required: what holds the master lock? Ideally would be good to see design thinking around
+split node and which bits need HA. MB: as a long term vision, ideally have 1 database for many IDs and the flows for
+those IDs are load balanced. Regarding services internally to node being suspended, this is being investigated.
-MH: regarding auto failover, in the event a database has its own perception of master and slave, how is this handled? Failure detector will need to grow or have local only schedule to confirm it is processing everything including connectivity between database and bus, i.e. implement a 'healthiness' concept
+MH: regarding auto failover, in the event a database has its own perception of master and slave, how is this handled?
+Failure detector will need to grow or have local only schedule to confirm it is processing everything including
+connectivity between database and bus, i.e. implement a 'healthiness' concept
-MH: can you get into a situation where the node fails over but the database does not, but database traffic continues to be sent to down node? MB: database will go offline leading to an all-stop event.
+MH: can you get into a situation where the node fails over but the database does not, but database traffic continues to
+be sent to down node? MB: database will go offline leading to an all-stop event.
-MH: can you have master affinity between node and database? MH: need watchdog / heartbeat solutions to confirm state of all components
+MH: can you have master affinity between node and database? MH: need watchdog / heartbeat solutions to confirm state of
+all components
-JC: how long will this solution live? MB: will work for hot / hot flow sharding, multiple flow workers and soft locks, then this is long term solution. Service abstraction will be used so we are not wedded to Zookeeper however the abstraction work can be done later
+JC: how long will this solution live? MB: will work for hot / hot flow sharding, multiple flow workers and soft locks,
+then this is long term solution. Service abstraction will be used so we are not wedded to Zookeeper however the
+abstraction work can be done later
-JC: does the implementation with Zookeeper have an impact on whether cloud or physical deployments are used? MB: its an internal component, not part of the larger Corda network therefore can be either. For the customer they will have to deploy a separate Zookeeper solution, but this is the same for Atomix.
+JC: does the implementation with Zookeeper have an impact on whether cloud or physical deployments are used? MB: its an
+internal component, not part of the larger Corda network therefore can be either. For the customer they will have to
+deploy a separate Zookeeper solution, but this is the same for Atomix.
-WN: where Corda as a service is being deployed with many nodes in the cloud. Zookeeper will be better suited to big providers.
+WN: where Corda as a service is being deployed with many nodes in the cloud. Zookeeper will be better suited to big
+providers.
-WN: concern is the customer expects to get everything on a plate, therefore will need to be educated on how to implement Zookeeper, but this is the same for other master selection solutions.
+WN: concern is the customer expects to get everything on a plate, therefore will need to be educated on how to implement
+Zookeeper, but this is the same for other master selection solutions.
-JC: is it possible to launch R3 Corda with a button on Azure marketplace to commission a Zookeeper? Yes, if we can resource it. But expectation is Zookeeper will be used by well-informed clients / implementers so one-click option is less relevant.
+JC: is it possible to launch R3 Corda with a button on Azure marketplace to commission a Zookeeper? Yes, if we can
+resource it. But expectation is Zookeeper will be used by well-informed clients / implementers so one-click option is
+less relevant.
-MH: how does failover work with HSMs? MB: can replicate realm so failover is trivial
+MH: how does failover work with HSMs?
-JC: how do we document Enterprise features? Publish design docs? Enterprise fact sheets? R3 Corda marketing material? Clear seperation of documentation is required. GT: this is already achieved by havind docs.corda.net for open source Corda and docs.corda.r3.com for enterprise R3 Corda
+MN: can replicate realm so failover is trivial
+
+JC: how do we document Enterprise features? Publish design docs? Enterprise fact sheets? R3 Corda marketing material?
+Clear seperation of documentation is required. GT: this is already achieved by having docs.corda.net for open source
+Corda and docs.corda.r3.com for enterprise R3 Corda
### Next Steps
diff --git a/docs/source/design/float/decisions/drb-meeting-20171116.md b/docs/source/design/float/decisions/drb-meeting-20171116.md
index 0aa6742adf..556da216d2 100644
--- a/docs/source/design/float/decisions/drb-meeting-20171116.md
+++ b/docs/source/design/float/decisions/drb-meeting-20171116.md
@@ -1,13 +1,7 @@
-
-
---------------------------------------------
-Design Review Board Meeting Minutes
-============================================
+# Design Review Board Meeting Minutes
**Date / Time:** 16/11/2017, 14:00
-
-
## Attendees
- Mark Oldfield (MO)
@@ -24,9 +18,7 @@ Design Review Board Meeting Minutes
- Jonathan Sartin (JS)
- David Lee (DL)
-
-
-## **Minutes**
+## Minutes
MO opened the meeting, outlining the agenda and meeting review process, and clarifying that consensus on each design decision would be sought from RGB, JC and MH.
@@ -90,7 +82,7 @@ MN highlighted the link to AMQP serialisation work being done.
**DECISION CONFIRMED:** Add placeholder, subject to more detailed design proposal (RGB, JC, MH agreed)
-### **[AMQP vs. custom protocol](./p2p-protocol.md) **
+### [AMQP vs. custom protocol](./p2p-protocol.md)
MN described alternative options involving onion-routing etc.
@@ -110,7 +102,7 @@ RGB queried whether full AMQP implementation should be done in this phase. MN pr
**DECISION CONFIRMED:** Continue to use AMQP (RGB, JC, MH agreed)
-### [Pluggable broker prioritisation](./pluggable-broker.md)
+### [Pluggable broker prioritisation](./pluggable-broker.md)
MN outlined arguments for deferring pluggable brokers, whilst describing how he’d go about implementing the functionality. MH agreed with prioritisation for later.
@@ -124,7 +116,7 @@ AB noted Solace have functionality with conceptual similarities to the float, an
**DECISION CONFIRMED:** Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
-### **Inbound only vs. inbound & outbound connections**
+### Inbound only vs. inbound & outbound connections
DL sought confirmation that the group was happy with the float to act as a Listener only.MN repeated the explanation of how outbound connections would be initiated through a SOCKS 4/5 proxy. No objections were raised.
diff --git a/docs/source/design/float/decisions/e2e-encryption.md b/docs/source/design/float/decisions/e2e-encryption.md
index 9677c57fcd..09c217630d 100644
--- a/docs/source/design/float/decisions/e2e-encryption.md
+++ b/docs/source/design/float/decisions/e2e-encryption.md
@@ -1,15 +1,9 @@
-
-
---------------------------------------------
-Design Decision: End-to-end encryption
-============================================
+# Design Decision: End-to-end encryption
## Background / Context
End-to-end encryption is a desirable potential design feature for the [float](../design.md).
-
-
## Options Analysis
### 1. No end-to-end encryption
diff --git a/docs/source/design/float/decisions/p2p-protocol.md b/docs/source/design/float/decisions/p2p-protocol.md
index fb0f2bc6e9..edc5f35f18 100644
--- a/docs/source/design/float/decisions/p2p-protocol.md
+++ b/docs/source/design/float/decisions/p2p-protocol.md
@@ -1,8 +1,4 @@
-
-
---------------------------------------------
-Design Decision: P2P Messaging Protocol
-============================================
+# Design Decision: P2P Messaging Protocol
## Background / Context
@@ -10,8 +6,6 @@ Corda requires messages to be exchanged between nodes via a well-defined protoco
Determining this protocol is a critical upstream dependency for the design of key messaging components including the [float](../design.md).
-
-
## Options Analysis
### 1. Use AMQP
@@ -54,16 +48,10 @@ Point to point links would be standard TLS and the network certificates would be
2. Effort implications - starting from scratch
3. Technical complexity in developing a P2P protocols which is attack tolerant.
-
-
-
-
## Recommendation and justification
Proceed with Option 1
-
-
## Decision taken
[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 1 - Continue to use AMQP (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/pluggable-broker.md b/docs/source/design/float/decisions/pluggable-broker.md
index 9ecd8039be..d4f0a8edcd 100644
--- a/docs/source/design/float/decisions/pluggable-broker.md
+++ b/docs/source/design/float/decisions/pluggable-broker.md
@@ -1,14 +1,9 @@
-
-
---------------------------------------------
-Design Decision: Pluggable Broker prioritisation
-============================================
+# Design Decision: Pluggable Broker prioritisation
## Background / Context
-A decision on when to prioritise implementation of a pluggable broker has implications for delivery of key messaging components including the [float](../design.md).
-
-
+A decision on when to prioritise implementation of a pluggable broker has implications for delivery of key messaging
+components including the [float](../design.md).
## Options Analysis
@@ -58,8 +53,12 @@ A decision on when to prioritise implementation of a pluggable broker has implic
Proceed with Option 2 (defer development of pluggable brokers until later)
-
-
## Decision taken
-[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 2- Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
+```eval_rst
+.. toctree::
+
+ drb-meeting-20171116.md
+```
+
+Proceed with Option 2 - Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/ssl-termination.md b/docs/source/design/float/decisions/ssl-termination.md
index 59b66fcb99..b42dd82111 100644
--- a/docs/source/design/float/decisions/ssl-termination.md
+++ b/docs/source/design/float/decisions/ssl-termination.md
@@ -1,21 +1,14 @@
-
-
---------------------------------------------
-Design Decision: TLS termination point
-============================================
+# Design Decision: TLS termination point
## Background / Context
-Design of the [float](../design.md) is critically influenced by the decision of where TLS connections to the node should be terminated.
-
-
+Design of the [float](../design.md) is critically influenced by the decision of where TLS connections to the node should
+be terminated.
## Options Analysis
### 1. Terminate TLS on Firewall
-
-
#### Advantages
1. Common practice for DMZ web solutions, often with an HSM associated with the Firewall and should be familiar for banks to setup.
@@ -39,11 +32,8 @@ Design of the [float](../design.md) is critically influenced by the decision of
##### Disadvantages
1. More work than the do-nothing approach
-
2. More protocol to design for sending across the inner firewall.
-
-
### 2. Direct TLS Termination onto Float
#### Advantages
@@ -96,8 +86,6 @@ Design of the [float](../design.md) is critically influenced by the decision of
Proceed with Variant option 1a: Terminate on firewall; include SASL connection checking.
-
-
## Decision taken
[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with option 2b - Terminate on float, inject key from internal portion of the float (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/design.md b/docs/source/design/float/design.md
index 52255b521c..2be1d52b1e 100644
--- a/docs/source/design/float/design.md
+++ b/docs/source/design/float/design.md
@@ -1,32 +1,16 @@
-
-
# Float Design
---------------------------------------------
-DOCUMENT MANAGEMENT
-============================================
-
-## Document Control
-
-* Title: Float Design
-* Date: 13th November 2017
-* Author: Matthew Nesbit
-* Distribution: Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery
-* Corda target version: Enterprise
-
-## Document Sign-off
-
-* Author: David Lee
-* Reviewers(s): TBD
-* Final approver(s): TBD
-
-## Document History
-
-# HIGH LEVEL DESIGN
+```eval_rst
+.. important:: This design document describes a feature of Corda Enterprise.
+```
## Overview
-The role of the 'float' is to meet the requirements of organisations that will not allow direct incoming connections to their node, but would rather host a proxy component in a DMZ to achieve this. As such it needs to meet the requirements of modern DMZ security rules, which essentially assume that the entire machine in the DMZ may become compromised. At the same time, we expect that the Float can interoperate with directly connected nodes, possibly even those using open source Corda.
+The role of the 'float' is to meet the requirements of organisations that will not allow direct incoming connections to
+their node, but would rather host a proxy component in a DMZ to achieve this. As such it needs to meet the requirements
+of modern DMZ security rules, which essentially assume that the entire machine in the DMZ may become compromised. At
+the same time, we expect that the Float can interoperate with directly connected nodes, possibly even those using open
+source Corda.
### Background
@@ -36,7 +20,8 @@ The diagram below illustrates the current mechanism for peer-to-peer messaging b
-When a flow running on a Corda node triggers a requirement to send a message to a peer node, it first checks for pre-existence of an applicable message queue for that peer.
+When a flow running on a Corda node triggers a requirement to send a message to a peer node, it first checks for
+pre-existence of an applicable message queue for that peer.
**If the relevant queue exists:**
@@ -69,49 +54,78 @@ Allow connectivity in compliance with DMZ constraints commonly imposed by modern
2. Data passing from the internet and the internal network via the DMZ should pass through a clear protocol break in the DMZ.
3. Only identified IPs and ports are permitted to access devices in the DMZ; this include communications between devices colocated in the DMZ.
4. Only a limited number of ports are opened in the firewall (<5) to make firewall operation manageable. These ports must change slowly.
-5. Any DMZ machine is typically multi-homed, with separate network cards handling traffic through the institutional firewall vs. to the Internet. (There is usually a further hidden management interface card accessed via a jump box for managing the box and shipping audit trail information). This requires that our software can bind listening ports to the correct network card not just to 0.0.0.0.
-6. No connections to be initiated by DMZ devices towards the internal network. Communications should be initiated from the internal network to form a bidirectional channel with the proxy process.
+5. Any DMZ machine is typically multi-homed, with separate network cards handling traffic through the institutional
+ firewall vs. to the Internet. (There is usually a further hidden management interface card accessed via a jump box for
+ managing the box and shipping audit trail information). This requires that our software can bind listening ports to the
+ correct network card not just to 0.0.0.0.
+6. No connections to be initiated by DMZ devices towards the internal network. Communications should be initiated from
+ the internal network to form a bidirectional channel with the proxy process.
7. No business data should be persisted on the DMZ box.
-8. An audit log of all connection events is required to track breaches. Latency information should also be tracked to facilitate management of connectivity issues.
-9. Processes on DMZ devices run as local accounts with no relationship to internal permission systems, or ability to enumerate devices on the internal network.
+8. An audit log of all connection events is required to track breaches. Latency information should also be tracked to
+ facilitate management of connectivity issues.
+9. Processes on DMZ devices run as local accounts with no relationship to internal permission systems, or ability to
+ enumerate devices on the internal network.
10. Communications in the DMZ should yse modern TLS, often with local-only certificates/keys that hold no value outside of use in predefined links.
11. Where TLS is required to terminate on the firewall, provide a suitably secure key management mechanism (e.g. an HSM).
12. Any proxy in the DMZ should be subject to the same HA requirements as the devices it is servicing
-13. Any business data passing through the proxy should be separately encrypted, so that no data is in the clear of the program memory if the DMZ box is compromised.
+13. Any business data passing through the proxy should be separately encrypted, so that no data is in the clear of the
+ program memory if the DMZ box is compromised.
## Design Decisions
-The following design decisions are assumed by this design:
+The following design decisions fed into this design:
-1. [AMQP vs. custom P2P](./decisions/p2p-protocol.md): Use AMQP
-2. [SSL termination (firewall vs. float)](./decisions/ssl-termination.md): Terminate on firewall; include SASL connection checking
-3. [End-to-end encryption](./decisions/e2e-encryption.md): Include placeholder only
-4. [Prioritisation of pluggable broker support](./decisions/pluggable-broker.md): Defer pluggable brokers until later
+```eval_rst
+.. toctree::
+ :maxdepth: 2
+
+ decisions/p2p-protocol.md
+ decisions/ssl-termination.md
+ decisions/e2e-encryption.md
+ decisions/pluggable-broker.md
+
+```
## Target Solution
-The proposed solution introduces a reverse proxy component ("**float**") which may be sited in the DMZ, as illustrated in the diagram below.
+The proposed solution introduces a reverse proxy component ("**float**") which may be sited in the DMZ, as illustrated
+in the diagram below.
-The main role of the float is to forward incoming AMQP link packets from authenticated TLS links to the AMQP Bridge Manager, then echo back final delivery acknowledgements once the Bridge Manager has successfully inserted the messages. The Bridge Manager is responsible for rejecting inbound packets on queues that are not local inboxes to prevent e.g. 'cheating' messages onto management topics, faking outgoing messages etc.
+The main role of the float is to forward incoming AMQP link packets from authenticated TLS links to the AMQP Bridge
+Manager, then echo back final delivery acknowledgements once the Bridge Manager has successfully inserted the messages.
+The Bridge Manager is responsible for rejecting inbound packets on queues that are not local inboxes to prevent e.g.
+'cheating' messages onto management topics, faking outgoing messages etc.
-The float is linked to the internal AMQP Bridge Manager via a single AMQP/TLS connection, which can contain multiple logical AMQP links. This link is initiated at the socket level by the Bridge Manager towards the float.
+The float is linked to the internal AMQP Bridge Manager via a single AMQP/TLS connection, which can contain multiple
+logical AMQP links. This link is initiated at the socket level by the Bridge Manager towards the float.
-The float is a **listener only** and does not enable outgoing bridges (see Design Decisions, above). Outgoing bridge formation and message sending come directly from the internal Bridge Manager (possibly via a SOCKS 4/5 proxy, which is easy enough to enable in netty, or directly through the corporate firewall. Initiating from the float gives rise to security concerns.)
+The float is a **listener only** and does not enable outgoing bridges (see Design Decisions, above). Outgoing bridge
+formation and message sending come directly from the internal Bridge Manager (possibly via a SOCKS 4/5 proxy, which is
+easy enough to enable in netty, or directly through the corporate firewall. Initiating from the float gives rise to
+security concerns.)
-The float is **not mandatory**; interoperability with older nodes, even those using direct AMQP from bridges in the node, is supported.
+The float is **not mandatory**; interoperability with older nodes, even those using direct AMQP from bridges in the
+node, is supported.
**No state will be serialized on the float**, although suitably protected logs will be recorded of all float activities.
-**End-to-end encryption** of the payload is not delivered through this design (see Design Decisions, above). For current purposes, a header field indicating plaintext/encrypted payload is employed as a placeholder.
+**End-to-end encryption** of the payload is not delivered through this design (see Design Decisions, above). For current
+*purposes, a header field indicating plaintext/encrypted payload is employed as a placeholder.
-**HA** is enabled (this should be easy as the bridge manager can choose which float to make active). Only fully connected DMZ floats should activate their listening port.
+**HA** is enabled (this should be easy as the bridge manager can choose which float to make active). Only fully
+*connected DMZ floats should activate their listening port.
-Implementation of the float is expected to be based on existing AMQP Bridge Manager code - see Implementation Plan, below, for expected work stages.
+Implementation of the float is expected to be based on existing AMQP Bridge Manager code - see Implementation Plan,
+below, for expected work stages.
### Bridge control protocol
-The bridge control is designed to be as stateless as possible. Thus, nodes and bridges restarting must re-request/broadcast information to each other. Messages are sent to a 'bridge.control' address in Artemis as non-persistent messages with a non-durable queue. Each message should contain a duplicate message ID, which is also re-used as the correlation id in replies. Relevant scenarios are described below:
+
+The bridge control is designed to be as stateless as possible. Thus, nodes and bridges restarting must
+re-request/broadcast information to each other. Messages are sent to a 'bridge.control' address in Artemis as
+non-persistent messages with a non-durable queue. Each message should contain a duplicate message ID, which is also
+re-used as the correlation id in replies. Relevant scenarios are described below:
#### On bridge start-up, or reconnection to Artemis
1. The bridge process should subscribe to the 'bridge.control'.
@@ -137,60 +151,111 @@ The bridge control is designed to be as stateless as possible. Thus, nodes and b
5. Future QueueSnapshot requests should be responded to with the new queue included in the list.
### Behaviour with a Float portion in the DMZ
-1. On initial connection of an inbound bridge, AMQP is configured to run a SASL challenge response to (re-)validate the origin and confirm the client identity. (The most likely SASL mechanism for this is using https://tools.ietf.org/html/rfc3163 as this allows reuse of our PKI certificates in the challenge response. Potentially we could forward some bridge control messages to cover the SASL exchange to the internal Bridge Controller. This would allow us to keep the private keys internal to the organisation, so we may also require a SASLAuth message type as part of the bridge control protocol.)
-2. The float restricts acceptable AMQP topics to the name space appropriate for inbound messages only. Hence, there should be no way to tunnel messages to bridge control, or RPC topics on the bus.
-3. On receipt of a message from the external network, the Float should append a header to link the source channel's X500 name, then create a Delivery for forwarding the message inwards.
-4. The internal Bridge Control Manager process validates the message further to ensure that it is targeted at a legitimate inbox (i.e. not an outbound queue) and then forwards it to the bus. Once delivered to the broker, the Delivery acknowledgements are cascaded back.
+
+1. On initial connection of an inbound bridge, AMQP is configured to run a SASL challenge response to (re-)validate the
+ origin and confirm the client identity. (The most likely SASL mechanism for this is using https://tools.ietf.org/html/rfc3163
+ as this allows reuse of our PKI certificates in the challenge response. Potentially we could forward some bridge control
+ messages to cover the SASL exchange to the internal Bridge Controller. This would allow us to keep the private keys
+ internal to the organisation, so we may also require a SASLAuth message type as part of the bridge control protocol.)
+2. The float restricts acceptable AMQP topics to the name space appropriate for inbound messages only. Hence, there
+ should be no way to tunnel messages to bridge control, or RPC topics on the bus.
+3. On receipt of a message from the external network, the Float should append a header to link the source channel's X500
+ name, then create a Delivery for forwarding the message inwards.
+4. The internal Bridge Control Manager process validates the message further to ensure that it is targeted at a legitimate
+ inbox (i.e. not an outbound queue) and then forwards it to the bus. Once delivered to the broker, the Delivery
+ acknowledgements are cascaded back.
5. On receiving Delivery notification from the internal side, the Float acknowledges back the correlated original Delivery.
6. The Float should protect against excessive inbound messages by AMQP flow control and refusing to accept excessive unacknowledged deliveries.
-7. The Float only exposes its inbound server socket when activated by a valid AMQP link from the Bridge Control Manager to allow for a simple HA pool of DMZ Float processes. (Floats cannot run hot-hot as this would invalidate Corda's message ordering guarantees.)
+7. The Float only exposes its inbound server socket when activated by a valid AMQP link from the Bridge Control Manager
+ to allow for a simple HA pool of DMZ Float processes. (Floats cannot run hot-hot as this would invalidate Corda's
+ message ordering guarantees.)
+## Implementation plan
+### Proposed incremental steps towards a float
-# IMPLEMENTATION PLAN
+1. First, I would like to more explicitly split the RPC and P2P MessagingService instances inside the Node. They can
+ keep the same interface, but this would let us develop P2P and RPC at different rates if required.
+
+2. The current in-node design with Artemis Core bridges should first be replaced with an equivalent piece of code that
+ initiates send only bridges using an in-house wrapper over the proton-j library. Thus, the current Artemis message
+ objects will be picked up from existing queues using the CORE protocol via an abstraction interface to allow later
+ pluggable replacement. The specific subscribed queues are controlled as before and bridges started by the existing code
+ path. The only difference is the bridges will be the new AMQP client code. The remote Artemis broker should accept
+ transferred packets directly onto its own inbox queue and acknowledge receipt via standard AMQP Delivery notifications.
+ This in turn will be acknowledged back to the Artemis Subscriber to permanently remove the message from the source
+ Artemis queue. The headers for deduplication, address names, etc will need to be mapped to the AMQP messages and we will
+ have to take care about the message payload. This should be an envelope that is capable in the future of being
+ end-to-end encrypted. Where possible we should stay close to the current Artemis mappings.
-## Proposed Incremental Steps Towards a Float
-1. First, I would like to more explicitly split the RPC and P2P MessagingService instances inside the Node. They can keep the same interface, but this would let us develop P2P and RPC at different rates if required.
-2. The current in-node design with Artemis Core bridges should first be replaced with an equivalent piece of code that initiates send only bridges using an in-house wrapper over the proton-j library. Thus, the current Artemis message objects will be picked up from existing queues using the CORE protocol via an abstraction interface to allow later pluggable replacement. The specific subscribed queues are controlled as before and bridges started by the existing code path. The only difference is the bridges will be the new AMQP client code. The remote Artemis broker should accept transferred packets directly onto its own inbox queue and acknowledge receipt via standard AMQP Delivery notifications. This in turn will be acknowledged back to the Artemis Subscriber to permanently remove the message from the source Artemis queue. The headers for deduplication, address names, etc will need to be mapped to the AMQP messages and we will have to take care about the message payload. This should be an envelope that is capable in the future of being end-to-end encrypted. Where possible we should stay close to the current Artemis mappings.
-3. We need to define a bridge control protocol, so that we can have an out of process float/bridge. The current process is that on message send the node checks the target address to see if the target queue already exists. If the queue doesn't exist it creates a new queue which includes an encoding of the PublicKey in its name. This is picked up by a wrapper around the Artemis Server which is also hosted inside the node and can ask the network map cache for a translation to a target host and port. This in turn allows a new bridge to be provisioned. At node restart the re-population of the network map cache is followed to re-create the bridges to any unsent queues/messages.
-4. My proposal for a bridge control protocol is partly influenced by the fact that AMQP does not have a built-in mechanism for queue creation/deletion/enumeration. Also, the flows cannot progress until they are sure that there is an accepting queue. Finally, if one runs a local broker it should be fine to run multiple nodes without any bridge processes. Therefore, I will leave the queue creation as the node's responsibility. Initially we can continue to use the existing CORE protocol for this. The requirement to initiate a bridge will change from being implicit signalling via server queue detection to being an explicit pub-sub message that requests bridge formation. This doesn't need durability, or acknowledgements, because when a bridge process starts it should request a refresh of the required bridge list. The typical create bridge messages should contain:
- 1. The queue name (ideally with the sha256 of the PublicKey, not the whole PublicKey as that may not work on brokers with queue name length constraints).
- 2. The expected X500Name for the remote TLS certificate.
- 3. The list of host and ports to attempt connection to. See separate section for more info.
-5. Once we have the bridge protocol in place and a bridge out of process the broker can move out of process too, which is a requirement for clustering anyway. We can then start work on floating the bridge and making our broker pluggable.
- 1. At this point the bridge connection to the local queues should be upgraded to also be AMQP client, rather than CORE protocol, which will give the ability for the P2P bridges to work with other broker products.
- 2. An independent task is to look at making the Bridge process HA, probably using a similar hot-warm mastering solution as the node, or atomix.io. The inactive node should track the control messages, but obviously doesn't initiate any bridges.
- 3. Another potentially parallel piece of development is to start to build a float, which is essentially just splitting the bridge in two and putting in an intermediate hop AMQP/TLS link. The thin proxy in the DMZ zone should be as stateless as possible in this.
- 4. Finally, the node should use AMQP to talk to its local broker cluster, but this will have to remain partly tied to Artemis, as queue creation will require sending management messages to the Artemis core, but we should be able to abstract this. Bridge Management Protocol.
+3. We need to define a bridge control protocol, so that we can have an out of process float/bridge. The current process
+ is that on message send the node checks the target address to see if the target queue already exists. If the queue
+ doesn't exist it creates a new queue which includes an encoding of the PublicKey in its name. This is picked up by a
+ wrapper around the Artemis Server which is also hosted inside the node and can ask the network map cache for a
+ translation to a target host and port. This in turn allows a new bridge to be provisioned. At node restart the
+ re-population of the network map cache is followed to re-create the bridges to any unsent queues/messages.
-## Float evolution
+4. My proposal for a bridge control protocol is partly influenced by the fact that AMQP does not have a built-in
+ mechanism for queue creation/deletion/enumeration. Also, the flows cannot progress until they are sure that there is an
+ accepting queue. Finally, if one runs a local broker it should be fine to run multiple nodes without any bridge
+ processes. Therefore, I will leave the queue creation as the node's responsibility. Initially we can continue to use the
+ existing CORE protocol for this. The requirement to initiate a bridge will change from being implicit signalling via
+ server queue detection to being an explicit pub-sub message that requests bridge formation. This doesn't need
+ durability, or acknowledgements, because when a bridge process starts it should request a refresh of the required bridge
+ list. The typical create bridge messages should contain:
+
+ 1. The queue name (ideally with the sha256 of the PublicKey, not the whole PublicKey as that may not work on brokers with queue name length constraints).
+ 2. The expected X500Name for the remote TLS certificate.
+ 3. The list of host and ports to attempt connection to. See separate section for more info.
+
+5. Once we have the bridge protocol in place and a bridge out of process the broker can move out of process too, which
+ is a requirement for clustering anyway. We can then start work on floating the bridge and making our broker pluggable.
+
+ 1. At this point the bridge connection to the local queues should be upgraded to also be AMQP client, rather than CORE
+ protocol, which will give the ability for the P2P bridges to work with other broker products.
+ 2. An independent task is to look at making the Bridge process HA, probably using a similar hot-warm mastering solution
+ as the node, or atomix.io. The inactive node should track the control messages, but obviously doesn't initiate any
+ bridges.
+ 3. Another potentially parallel piece of development is to start to build a float, which is essentially just splitting
+ the bridge in two and putting in an intermediate hop AMQP/TLS link. The thin proxy in the DMZ zone should be as
+ stateless as possible in this.
+ 4. Finally, the node should use AMQP to talk to its local broker cluster, but this will have to remain partly tied
+ to Artemis, as queue creation will require sending management messages to the Artemis core, but we should be
+ able to abstract this.
+
+### Float evolution
+
+#### In-Process AMQP Bridging
-### In-Process AMQP Bridging
-1. In this phase of evolution we hook the same bridge creation code as before and use the same in-process data access to network map cache.
-2. However, we now implement AMQP sender clients using proton-j and netty for TLS layer and connection retry.
-3. This will also involve formalising the AMQP packet format of the Corda P2P protocol.
-4. Once a bridge makes a successful link to a remote node's Artemis broker it will subscribe to the associated local queue.
-5. The messages will be picked up from the local broker via an Artemis CORE consumer for simplicity of initial implementation.
-6. The queue consumer should be implemented with a simple generic interface as façade, to allow future replacement.
-7. The message will be sent across the AMQP protocol directly to the remote Artemis broker.
-8. Once acknowledgement of receipt is given with an AMQP Delivery notification the queue consumption will be acknowledged.
-9. This will remove the original item from the source queue.
-10. If delivery fails due to link loss the subscriber should be closed until a new link is established to ensure messages are not consumed.
-11. If delivery fails for other reasons there should be some for of periodic retry over the AMQP link.
-12. For authentication checks the client cert returned from the remote server will be checked and the link dropped if it doesn't match expectations.
+In this phase of evolution we hook the same bridge creation code as before and use the same in-process data access to
+network map cache. However, we now implement AMQP sender clients using proton-j and netty for TLS layer and connection
+retry. This will also involve formalising the AMQP packet format of the Corda P2P protocol. Once a bridge makes a
+successful link to a remote node's Artemis broker it will subscribe to the associated local queue. The messages will be
+picked up from the local broker via an Artemis CORE consumer for simplicity of initial implementation. The queue
+consumer should be implemented with a simple generic interface as façade, to allow future replacement. The message will
+be sent across the AMQP protocol directly to the remote Artemis broker. Once acknowledgement of receipt is given with an
+AMQP Delivery notification the queue consumption will be acknowledged. This will remove the original item from the
+source queue. If delivery fails due to link loss the subscriber should be closed until a new link is established to
+ensure messages are not consumed. If delivery fails for other reasons there should be some for of periodic retry over
+the AMQP link. For authentication checks the client cert returned from the remote server will be checked and the link
+dropped if it doesn't match expectations.
-### Out of process Artemis Broker and Bridges
+#### Out of process Artemis Broker and Bridges
-1. Move the Artemis broker and bridge formation logic out of the node. This requires formalising the bridge creation requests, but allows clustered brokers, standardised AMQP usage and ultimately pluggable brokers.
-2. We should implement a netty socket server on the bridge and forward authenticated packets to the local Artemis broker inbound queues. An AMQP server socket is required for the float, although it should be transparent whether a NodeInfo refers to a bridge socket address, or an Artemis broker.
-3. The queue names should use the sha-256 of the PublicKey not the full key. Also, the name should be used for in and out queues, so that multiple distinct nodes can coexist on the same broker. This will simplify development as developers just run a background broker and shouldn't need to restart it.
-4. To export the network map information and to initiate bridges a non-durable bridge control protocol will be needed (in blue). Essentially the messages declare the local queue names and target TLS link information. For in-bound messages only messages for known inbox targets will be acknowledged.
-5. It should not be hard to make the bridges active-passive HA as they contain no persisted message state and simple RPC can resync the state of the bridge.
-6. Queue creation will remain with the node as this must use non-AMQP mechanisms and because flows should be able to queue sent messages even if the bridge is temporarily down.
-7. In parallel work can start to upgrade the local links to Artemis (i.e. the node-Artemis link and the Bridge Manager-Artemis link) to be AMQP clients as much as possible.
-
-### Full float implementation
-As described in the 'Target Solution' section, above.
+Move the Artemis broker and bridge formation logic out of the node. This requires formalising the bridge creation
+requests, but allows clustered brokers, standardised AMQP usage and ultimately pluggable brokers. We should implement a
+netty socket server on the bridge and forward authenticated packets to the local Artemis broker inbound queues. An AMQP
+server socket is required for the float, although it should be transparent whether a NodeInfo refers to a bridge socket
+address, or an Artemis broker. The queue names should use the sha-256 of the PublicKey not the full key. Also, the name
+should be used for in and out queues, so that multiple distinct nodes can coexist on the same broker. This will simplify
+development as developers just run a background broker and shouldn't need to restart it. To export the network map
+information and to initiate bridges a non-durable bridge control protocol will be needed (in blue). Essentially the
+messages declare the local queue names and target TLS link information. For in-bound messages only messages for known
+inbox targets will be acknowledged. It should not be hard to make the bridges active-passive HA as they contain no
+persisted message state and simple RPC can resync the state of the bridge. Queue creation will remain with the node as
+this must use non-AMQP mechanisms and because flows should be able to queue sent messages even if the bridge is
+temporarily down. In parallel work can start to upgrade the local links to Artemis (i.e. the node-Artemis link and the
+Bridge Manager-Artemis link) to be AMQP clients as much as possible.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 5df612f050..4a810feb63 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -59,6 +59,7 @@ We look forward to seeing what you can do with Corda!
design/design-review-process.md
design/certificate-hierarchies/design.md
design/failure-detection-master-election/design.md
+ design/float/design.md
.. toctree::
:caption: Participate
From f29bbb6b16b8149c5893726b14c52fb4e9683ede Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 16:41:24 +0200
Subject: [PATCH 12/25] Docs: Docs: switch from ReCommonMark to m2r, as RCM is
not really maintained and is buggy.
Tidy up presentation of HA design doc.
Misc markup fixes throughout, as revealed by m2r.
---
docs/requirements.txt | 5 +-
docs/source/conf.py | 20 +-
.../design/certificate-hierarchies/design.md | 4 -
docs/source/design/designTemplate/design.md | 5 +-
.../design.md | 5 -
.../design/float/decisions/e2e-encryption.md | 7 +-
.../design/float/decisions/p2p-protocol.md | 46 ++--
.../float/decisions/pluggable-broker.md | 2 -
docs/source/design/float/design.md | 9 +-
.../design/hadr/decisions/crash-shell.md | 16 +-
.../design/hadr/decisions/db-msg-store.md | 17 +-
.../hadr/decisions/drb-meeting-20171116.md | 12 +-
.../design/hadr/decisions/external-broker.md | 27 +-
.../design/hadr/decisions/ip-addressing.md | 16 +-
.../hadr/decisions/medium-term-target.md | 20 +-
.../design/hadr/decisions/near-term-target.md | 18 +-
docs/source/design/hadr/design.md | 234 +++++++++++-------
...deployment - Hot-Cold.png => hot-cold.png} | Bin
...A deployment - Hot-Hot.png => hot-hot.png} | Bin
...deployment - Hot-Warm.png => hot-warm.png} | Bin
.../{HA deployment - No HA.png => no-ha.png} | Bin
docs/source/index.rst | 1 +
22 files changed, 244 insertions(+), 220 deletions(-)
rename docs/source/design/hadr/{HA deployment - Hot-Cold.png => hot-cold.png} (100%)
rename docs/source/design/hadr/{HA deployment - Hot-Hot.png => hot-hot.png} (100%)
rename docs/source/design/hadr/{HA deployment - Hot-Warm.png => hot-warm.png} (100%)
rename docs/source/design/hadr/{HA deployment - No HA.png => no-ha.png} (100%)
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 91cd59da01..bf8d5e0d98 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -8,17 +8,18 @@ future==0.16.0
idna==2.6
imagesize==0.7.1
Jinja2==2.8
+m2r==0.1.14
MarkupSafe==0.23
+mistune==0.8.3
packaging==17.1
pdfrw==0.4
Pillow==5.1.0
Pygments==2.2.0
pyparsing==2.2.0
pytz==2016.4
-recommonmark==0.4.0
reportlab==3.4.0
requests==2.18.4
-rst2pdf==0.93.dev0
+rst2pdf==0.93
six==1.10.0
snowballstemmer==1.2.1
Sphinx==1.7.4
diff --git a/docs/source/conf.py b/docs/source/conf.py
index b22f508600..5202714c97 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -13,7 +13,6 @@
# serve to show the default.
import sphinx_rtd_theme
-from recommonmark.transform import AutoStructify
# If extensions (or modules to document with autodoc) are in another directory,
@@ -26,10 +25,8 @@ from recommonmark.transform import AutoStructify
# If your documentation needs a minimal Sphinx version, state it here.
#needs_sphinx = '1.0'
-# Add any Sphinx extension module names here, as strings. They can be
-# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
-# ones.
-extensions = ['rst2pdf.pdfbuilder']
+# m2r is a Markdown to RST converter, as our design docs use Markdown.
+extensions = ['rst2pdf.pdfbuilder', 'm2r']
# PDF configuration
pdf_documents = [('index', u'corda-developer-site', u'Corda Developer Documentation', u'R3')]
@@ -43,9 +40,6 @@ templates_path = ['_templates']
# The suffix(es) of source filenames.
# You can specify multiple suffix as a list of string:
source_suffix = ['.rst', '.md']
-source_parsers = {
- '.md': 'recommonmark.parser.CommonMarkParser',
-}
# The encoding of source files.
source_encoding = 'utf-8-sig'
@@ -262,13 +256,3 @@ latex_documents = [
# If false, no module index is generated.
#latex_domain_indices = True
-
-web_doc_root = 'https://docs.corda.net/'
-def setup(app):
- app.add_config_value('recommonmark_config', {
- 'url_resolver': lambda url: web_doc_root + url,
- 'auto_toc_tree_section': 'Contents',
- 'enable_eval_rst': True,
- 'enable_auto_doc_ref': False,
- }, True)
- app.add_transform(AutoStructify)
\ No newline at end of file
diff --git a/docs/source/design/certificate-hierarchies/design.md b/docs/source/design/certificate-hierarchies/design.md
index b4a99e395e..dfc609ffb1 100644
--- a/docs/source/design/certificate-hierarchies/design.md
+++ b/docs/source/design/certificate-hierarchies/design.md
@@ -1,8 +1,6 @@
# Certificate hierarchies
-```eval_rst
.. important:: This design doc applies to the main Corda network. Other networks may use different certificate hierarchies.
-```
## Overview
@@ -53,13 +51,11 @@ context.
## Design Decisions
-```eval_rst
.. toctree::
:maxdepth: 2
decisions/levels.md
decisions/tls-trust-root.md
-```
## **Target** Solution
diff --git a/docs/source/design/designTemplate/design.md b/docs/source/design/designTemplate/design.md
index 601e2f7074..8edba01a58 100644
--- a/docs/source/design/designTemplate/design.md
+++ b/docs/source/design/designTemplate/design.md
@@ -44,13 +44,12 @@ Design documents should follow the standard GitHub version management and pull r
#### Design Decisions
-| Description | Recommendation | Approval* |
+| Description | Recommendation | Approval |
| ---------------------------------------- | --------------- | ----------------------- |
| [Design Decision 1](decisions/decision.md) | Selected option | (Design Approval Board) |
| [Design Decision 2](decisions/decision.md) | Selected option | (Design Approval Board) |
| [Design Decision 3](decisions/decision.md) | Selected option | (Design Approval Board) |
-\* only required for formal Design Approval Board meetings.
## Document History
@@ -116,7 +115,7 @@ List of design decisions identified in defining the target solution:
| [Design Decision 3](decisions/decision.md) | Option B |
It is reasonable to expect decisions to be challenged prior to any formal review and approval.
-*In certain scenarios the Design Decision itself may solicit a recommendation from reviewers.
+In certain scenarios the Design Decision itself may solicit a recommendation from reviewers.
## Target Solution
diff --git a/docs/source/design/failure-detection-master-election/design.md b/docs/source/design/failure-detection-master-election/design.md
index c9f2da8fae..1d9a85a1ba 100644
--- a/docs/source/design/failure-detection-master-election/design.md
+++ b/docs/source/design/failure-detection-master-election/design.md
@@ -1,8 +1,6 @@
# Failure detection and master election
-```eval_rst
.. important:: This design document describes a feature of Corda Enterprise.
-```
## Background
@@ -38,14 +36,11 @@ It would also be helpful for the chosen solution to not add deployment complexit
## Design decisions
-```eval_rst
.. toctree::
:maxdepth: 2
drb-meeting-20180131.md
-```
-
## Proposed solutions
Based on what is needed for Hot-Warm, 1 active node and at least one passive node (started but in stand-by mode), and
diff --git a/docs/source/design/float/decisions/e2e-encryption.md b/docs/source/design/float/decisions/e2e-encryption.md
index 09c217630d..0dd09bc052 100644
--- a/docs/source/design/float/decisions/e2e-encryption.md
+++ b/docs/source/design/float/decisions/e2e-encryption.md
@@ -47,4 +47,9 @@ Proceed with Option 2: Placeholder
## Decision taken
-[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 2 - Add placeholder, subject to more detailed design proposal (RGB, JC, MH agreed)
+Proceed with Option 2 - Add placeholder, subject to more detailed design proposal (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
+
diff --git a/docs/source/design/float/decisions/p2p-protocol.md b/docs/source/design/float/decisions/p2p-protocol.md
index edc5f35f18..bf028e8b31 100644
--- a/docs/source/design/float/decisions/p2p-protocol.md
+++ b/docs/source/design/float/decisions/p2p-protocol.md
@@ -14,32 +14,46 @@ Under this option, P2P messaging will follow the [Advanced Message Queuing Proto
#### Advantages
-1. As we have described in our marketing materials.
-2. Well-defined standard.
-3. Supportfor packet level flow control and explicit delivery acknowledgement.
-4. Will allow eventual swap out of Artemis for other brokers.
+1. As we have described in our marketing materials.
+2. Well-defined standard.
+3. Supportfor packet level flow control and explicit delivery acknowledgement.
+4. Will allow eventual swap out of Artemis for other brokers.
#### Disadvantages
-1. AMQP is a complex protocol with many layered state machines, for which it may prove hard to verify security properties.
-2. No support for secure MAC in packets frames.
-3. No defined encryption mode beyond creating custom payload encryption and custom headers.
-4. No standardised support for queue creation/enumeration, or deletion.
-5. Use of broker durable queues and autonomousbridge transfers does not align with checkpoint timing, so that independent replication of the DB and Artemis data risks causing problems. (Writing to the DB doesn’t work currently and is probably also slow).
+1. AMQP is a complex protocol with many layered state machines, for which it may prove hard to verify security properties.
+2. No support for secure MAC in packets frames.
+3. No defined encryption mode beyond creating custom payload encryption and custom headers.
+4. No standardised support for queue creation/enumeration, or deletion.
+5. Use of broker durable queues and autonomousbridge transfers does not align with checkpoint timing, so that independent replication of the DB and Artemis data risks causing problems. (Writing to the DB doesn’t work currently and is probably also slow).
### 2. Develop a custom protocol
-This option would discard existing Artemis server/AMQP support for peer-to-peer communications in favour of a custom implementation of the Corda MessagingService, which takes direct responsibility for message retries and stores the pending messages into the node's database. The wire level of this service would be built on top of a fully encrypted MIX network which would not require a fully connected graph, but rather send messages on randomly selected paths over the dynamically managed network graph topology.
+This option would discard existing Artemis server/AMQP support for peer-to-peer communications in favour of a custom
+implementation of the Corda MessagingService, which takes direct responsibility for message retries and stores the
+pending messages into the node's database. The wire level of this service would be built on top of a fully encrypted MIX
+network which would not require a fully connected graph, but rather send messages on randomly selected paths over the
+dynamically managed network graph topology.
-Packet format would likely use the  although with the body encryption updated to a modern AEAD scheme as in https://www.cs.ru.nl/~bmennink/pubs/16cans.pdf . In this scheme, nodes would be identified in the overlay network solely by Curve25519 public key addresses and floats would be dumb nodes that only run the MIX network code and don't act as message sources, or sinks. Intermediate traffic would not be readable except by the intended waypoint and only the final node can read the payload.
+Packet format would likely use the [SPHINX packet format](http://www0.cs.ucl.ac.uk/staff/G.Danezis/papers/sphinx-eprint.pdf) although with the body encryption updated to
+a modern AEAD scheme as in https://www.cs.ru.nl/~bmennink/pubs/16cans.pdf . In this scheme, nodes would be identified in
+the overlay network solely by Curve25519 public key addresses and floats would be dumb nodes that only run the MIX
+network code and don't act as message sources, or sinks. Intermediate traffic would not be readable except by the
+intended waypoint and only the final node can read the payload.
-Point to point links would be standard TLS and the network certificates would be whatever is acceptable to the host institutions e.g. standard Verisign certs. It is assumed institutions would select partners to connect to that they trust and permission them individually in their firewalls. Inside the MIX network the nodes would be connected mostly in a static way and use standard HELLO packets to determine the liveness of neighbour routes, then use tunnelled gossip to distribute the signed/versioned Link topology messages. Nodes will also be allowed to advertise a public IP, so some dynamic links and publicly visible nodes would exist. Network map addresses would then be mappings from Legal Identity to these overlay network addresses, not to physical network locations.
+Point to point links would be standard TLS and the network certificates would be whatever is acceptable to the host
+institutions e.g. standard Verisign certs. It is assumed institutions would select partners to connect to that they
+trust and permission them individually in their firewalls. Inside the MIX network the nodes would be connected mostly in
+a static way and use standard HELLO packets to determine the liveness of neighbour routes, then use tunnelled gossip to
+distribute the signed/versioned Link topology messages. Nodes will also be allowed to advertise a public IP, so some
+dynamic links and publicly visible nodes would exist. Network map addresses would then be mappings from Legal Identity
+to these overlay network addresses, not to physical network locations.
#### Advantages
1. Can be defined with very small message surface area that is amenable to security analysis.
2. Packet formats can follow best practice cryptography from the start and be matched to Corda’s needs.
-3. Doesn’t require ‘Complete Graph’ structure for network if we have intermediate routing.
+3. Doesn’t require a complete graph structure for network if we have intermediate routing.
4. More closely aligns checkpointing and message delivery handling at the application level.
#### Disadvantages
@@ -54,4 +68,8 @@ Proceed with Option 1
## Decision taken
-[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 1 - Continue to use AMQP (RGB, JC, MH agreed)
+Proceed with Option 1 - Continue to use AMQP (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/float/decisions/pluggable-broker.md b/docs/source/design/float/decisions/pluggable-broker.md
index d4f0a8edcd..3096360337 100644
--- a/docs/source/design/float/decisions/pluggable-broker.md
+++ b/docs/source/design/float/decisions/pluggable-broker.md
@@ -55,10 +55,8 @@ Proceed with Option 2 (defer development of pluggable brokers until later)
## Decision taken
-```eval_rst
.. toctree::
drb-meeting-20171116.md
-```
Proceed with Option 2 - Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/design.md b/docs/source/design/float/design.md
index 2be1d52b1e..5323526107 100644
--- a/docs/source/design/float/design.md
+++ b/docs/source/design/float/design.md
@@ -1,8 +1,6 @@
# Float Design
-```eval_rst
.. important:: This design document describes a feature of Corda Enterprise.
-```
## Overview
@@ -75,7 +73,6 @@ Allow connectivity in compliance with DMZ constraints commonly imposed by modern
The following design decisions fed into this design:
-```eval_rst
.. toctree::
:maxdepth: 2
@@ -83,8 +80,6 @@ The following design decisions fed into this design:
decisions/ssl-termination.md
decisions/e2e-encryption.md
decisions/pluggable-broker.md
-
-```
## Target Solution
@@ -112,10 +107,10 @@ node, is supported.
**No state will be serialized on the float**, although suitably protected logs will be recorded of all float activities.
**End-to-end encryption** of the payload is not delivered through this design (see Design Decisions, above). For current
-*purposes, a header field indicating plaintext/encrypted payload is employed as a placeholder.
+purposes, a header field indicating plaintext/encrypted payload is employed as a placeholder.
**HA** is enabled (this should be easy as the bridge manager can choose which float to make active). Only fully
-*connected DMZ floats should activate their listening port.
+connected DMZ floats should activate their listening port.
Implementation of the float is expected to be based on existing AMQP Bridge Manager code - see Implementation Plan,
below, for expected work stages.
diff --git a/docs/source/design/hadr/decisions/crash-shell.md b/docs/source/design/hadr/decisions/crash-shell.md
index 8c19731292..1a1d862801 100644
--- a/docs/source/design/hadr/decisions/crash-shell.md
+++ b/docs/source/design/hadr/decisions/crash-shell.md
@@ -1,14 +1,8 @@
-
-
---------------------------------------------
-Design Decision: Node starting & stopping
-============================================
+# Design Decision: Node starting & stopping
## Background / Context
-The potential use of a crash shell is relevant to [high availability](../design.md) capabilities of nodes.
-
-
+The potential use of a crash shell is relevant to high availability capabilities of nodes.
## Options Analysis
@@ -49,4 +43,8 @@ Proceed with Option 2: Delegate to external tools
## Decision taken
-**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Restarts should be handled by polite shutdown, followed by a hard clear. (RGB, JC, MH agreed)
\ No newline at end of file
+Restarts should be handled by polite shutdown, followed by a hard clear. (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/decisions/db-msg-store.md b/docs/source/design/hadr/decisions/db-msg-store.md
index 6af5c3f684..a2ff7e5680 100644
--- a/docs/source/design/hadr/decisions/db-msg-store.md
+++ b/docs/source/design/hadr/decisions/db-msg-store.md
@@ -1,14 +1,9 @@
-
-
---------------------------------------------
-Design Decision: Message storage
-============================================
+# Design Decision: Message storage
## Background / Context
-Storage of messages by the message broker has implications for replication technologies which can be used to ensure both [high availability](../design.md) and disaster recovery of Corda nodes.
-
-
+Storage of messages by the message broker has implications for replication technologies which can be used to ensure both
+[high availability](../design.md) and disaster recovery of Corda nodes.
## Options Analysis
@@ -44,4 +39,8 @@ Continue with Option 1: Storage in the file system
## Decision taken
-[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md) Use storage in the file system (for now)
\ No newline at end of file
+Use storage in the file system (for now)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/decisions/drb-meeting-20171116.md b/docs/source/design/hadr/decisions/drb-meeting-20171116.md
index 155a7f9e51..d19ee14f71 100644
--- a/docs/source/design/hadr/decisions/drb-meeting-20171116.md
+++ b/docs/source/design/hadr/decisions/drb-meeting-20171116.md
@@ -1,13 +1,7 @@
-
-
---------------------------------------------
-Design Review Board Meeting Minutes
-============================================
+# Design Review Board Meeting Minutes
**Date / Time:** 16/11/2017, 16:30
-
-
## Attendees
- Mark Oldfield (MO)
@@ -24,9 +18,7 @@ Design Review Board Meeting Minutes
- Jonathan Sartin (JS)
- David Lee (DL)
-
-
-## **Minutes**
+## Minutes
The meeting re-opened following prior discussion of the float design.
diff --git a/docs/source/design/hadr/decisions/external-broker.md b/docs/source/design/hadr/decisions/external-broker.md
index f44c5ddd7f..e5c5720b01 100644
--- a/docs/source/design/hadr/decisions/external-broker.md
+++ b/docs/source/design/hadr/decisions/external-broker.md
@@ -1,14 +1,9 @@
-
-
---------------------------------------------
-Design Decision: Broker separation
-============================================
+# Design Decision: Broker separation
## Background / Context
-A decision of whether to extract the Artemis message broker as a separate component has implications for the design of [high availability](../design.md) for nodes.
-
-
+A decision of whether to extract the Artemis message broker as a separate component has implications for the design of
+[high availability](../design.md) for nodes.
## Options Analysis
@@ -16,15 +11,15 @@ A decision of whether to extract the Artemis message broker as a separate compon
#### Advantages
-1. Least change
+1. Least change
#### Disadvantages
-1. Means that starting/stopping Corda is tightly coupled to starting/stopping Artemis instances.
-2. Risks resource leaks from one system component affecting other components.
-3. Not pluggable if we wish to have an alternative broker.
+1. Means that starting/stopping Corda is tightly coupled to starting/stopping Artemis instances.
+2. Risks resource leaks from one system component affecting other components.
+3. Not pluggable if we wish to have an alternative broker.
-## 2. External broker
+### 2. External broker
#### Advantages
@@ -46,4 +41,8 @@ Proceed with Option 2: External broker
## Decision taken
-**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** The broker should only be separated if required by other features (e.g. the float), otherwise not. (RGB, JC, MH agreed).
\ No newline at end of file
+The broker should only be separated if required by other features (e.g. the float), otherwise not. (RGB, JC, MH agreed).
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/decisions/ip-addressing.md b/docs/source/design/hadr/decisions/ip-addressing.md
index e52dceabd3..07ad2d6350 100644
--- a/docs/source/design/hadr/decisions/ip-addressing.md
+++ b/docs/source/design/hadr/decisions/ip-addressing.md
@@ -1,14 +1,8 @@
-
-
---------------------------------------------
-Design Decision: IP addressing mechanism (near-term)
-============================================
+# Design Decision: IP addressing mechanism (near-term)
## Background / Context
-End-to-end encryption is a desirable potential design feature for the [float](../design.md).
-
-
+End-to-end encryption is a desirable potential design feature for the [high availability support](design).
## Options Analysis
@@ -45,4 +39,8 @@ Proceed with Option 1: Via Load Balancer
## Decision taken
-**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** The design can allow for optional load balancers to be implemented by clients. (RGB, JC, MH agreed)
\ No newline at end of file
+The design can allow for optional load balancers to be implemented by clients. (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/decisions/medium-term-target.md b/docs/source/design/hadr/decisions/medium-term-target.md
index 184d6683f9..8f7b779a95 100644
--- a/docs/source/design/hadr/decisions/medium-term-target.md
+++ b/docs/source/design/hadr/decisions/medium-term-target.md
@@ -1,18 +1,14 @@
-
-
-------
-
# Design Decision: Medium-term target for node HA
## Background / Context
-Designing for high availability is a complex task which can only be delivered over an operationally-significant timeline. It is therefore important to determine whether an intermediate state design (deliverable for around March 2018) is desirable as a precursor to longer term outcomes.
-
-
+Designing for high availability is a complex task which can only be delivered over an operationally-significant
+timeline. It is therefore important to determine whether an intermediate state design (deliverable for around March
+2018) is desirable as a precursor to longer term outcomes.
## Options Analysis
-### 1. Hot-warm as interim state (see [HA design doc](../design.md))
+### 1. Hot-warm as interim state
#### Advantages
@@ -26,7 +22,7 @@ Designing for high availability is a complex task which can only be delivered ov
2. May actually turn out more risky than hot-hot, because shutting down code is always prone to deadlocks and resource leakages.
3. Some work would have to be thrown away when we create a full hot-hot solution.
-### 2. Progress immediately to Hot-hot (see [HA design doc](../design.md))
+### 2. Progress immediately to Hot-hot
#### Advantages
@@ -45,5 +41,9 @@ Proceed with Option 1: Hot-warm as interim state.
## Decision taken
-**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Adopt option 1: Medium-term target: Hot Warm (RGB, JC, MH agreed)
+Adopt option 1: Medium-term target: Hot Warm (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/decisions/near-term-target.md b/docs/source/design/hadr/decisions/near-term-target.md
index 92b7fd1147..6461e18f27 100644
--- a/docs/source/design/hadr/decisions/near-term-target.md
+++ b/docs/source/design/hadr/decisions/near-term-target.md
@@ -1,14 +1,10 @@
-
-
---------------------------------------------
-Design Decision: Near-term target for node HA
-============================================
+# Design Decision: Near-term target for node HA
## Background / Context
-Designing for high availability is a complex task which can only be delivered over an operationally-significant timeline. It is therefore important to determine the target state in the near term as a precursor to longer term outcomes.
-
-
+Designing for high availability is a complex task which can only be delivered over an operationally-significant
+timeline. It is therefore important to determine the target state in the near term as a precursor to longer term
+outcomes.
## Options Analysis
@@ -43,4 +39,8 @@ Proceed with Option 2: Hot-cold.
## Decision taken
-**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Adopt option 2: Near-term target: Hot Cold (RGB, JC, MH agreed)
+Adopt option 2: Near-term target: Hot Cold (RGB, JC, MH agreed)
+
+.. toctree::
+
+ drb-meeting-20171116.md
diff --git a/docs/source/design/hadr/design.md b/docs/source/design/hadr/design.md
index 32d03a7f0c..c6032a0a63 100644
--- a/docs/source/design/hadr/design.md
+++ b/docs/source/design/hadr/design.md
@@ -1,43 +1,28 @@
-
-
-# High Availability Support for Corda: A Phased Approach
-
--------------------
-DOCUMENT MANAGEMENT
-===================
-
-## Document Control
-
-* High Availability and Disaster Recovery for Corda: A Phased Approach
-* Date: 13th November 2017
-* Author: Matthew Nesbit
-* Distribution: Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery
-* Corda target version: Enterprise
-
-## Document Sign-off
-
-* Author: David Lee
-* Reviewers(s): TBD
-* Final approver(s): TBD
-
-## Document History
-
---------------------------------------------
-HIGH LEVEL DESIGN
-============================================
+# High availability support
## Overview
### Background
-The term high availability (HA) is used in this document to refer to the ability to rapidly handle any single component failure, whether due to physical issues (e.g. hard drive failure), network connectivity loss, or software faults.
+The term high availability (HA) is used in this document to refer to the ability to rapidly handle any single component
+failure, whether due to physical issues (e.g. hard drive failure), network connectivity loss, or software faults.
-Expectations of HA in modern enterprise systems are for systems to recover normal operation in a few minutes at most, while ensuring minimal/zero data loss. Whilst overall reliability is the overriding objective, it is desirable for Corda to offer HA mechanisms which are both highly automated and transparent to node operators. HA mechanism must not involve any configuration changes that require more than an appropriate admin tool, or a simple start/stop of a process as that would need an Emergency Change Request.
+Expectations of HA in modern enterprise systems are for systems to recover normal operation in a few minutes at most,
+while ensuring minimal/zero data loss. Whilst overall reliability is the overriding objective, it is desirable for Corda
+to offer HA mechanisms which are both highly automated and transparent to node operators. HA mechanism must not involve
+any configuration changes that require more than an appropriate admin tool, or a simple start/stop of a process as that
+would need an Emergency Change Request.
-HA naturally grades into requirements for Disaster Recovery (DR), which requires that there is a tested procedure to handle large scale multi-component failures e.g. due to data centre flooding, acts of terrorism. DR processes are permitted to involve significant manual intervention, although the complications of actually invoking a Business Continuity Plan (BCP) mean that the less manual intervention, the more competitive Corda will be in the modern vendor market.
-For modern financial institutions, maintaining comprehensive and effective BCP procedures are a legal requirement which is generally tested at least once a year.
+HA naturally grades into requirements for Disaster Recovery (DR), which requires that there is a tested procedure to
+handle large scale multi-component failures e.g. due to data centre flooding, acts of terrorism. DR processes are
+permitted to involve significant manual intervention, although the complications of actually invoking a Business
+Continuity Plan (BCP) mean that the less manual intervention, the more competitive Corda will be in the modern vendor
+market. For modern financial institutions, maintaining comprehensive and effective BCP procedures are a legal
+requirement which is generally tested at least once a year.
-However, until Corda is the system of record, or the primary system for transactions we are unlikely to be required to have any kind of fully automatic DR. In fact, we are likely to be restarted only once BCP has restored the most critical systems.
-In contrast, typical financial institutions maintain large, complex technology landscapes in which individual component failures can occur, such as:
+However, until Corda is the system of record, or the primary system for transactions we are unlikely to be required to
+have any kind of fully automatic DR. In fact, we are likely to be restarted only once BCP has restored the most critical
+systems. In contrast, typical financial institutions maintain large, complex technology landscapes in which individual
+component failures can occur, such as:
* Small scale software failures
* Mandatory data centre power cycles
@@ -50,10 +35,11 @@ Thus, HA is essential for enterprise Corda and providing help to administrators
### Current node topology
-
+
-The current solution has a single integrated process running in one JVM including
-Artemis, H2 database, Flow State Machine, P2P bridging. All storage is on the local file system. There is no HA capability other than manual restart of the node following failure.
+The current solution has a single integrated process running in one JVM including Artemis, H2 database, Flow State
+Machine, P2P bridging. All storage is on the local file system. There is no HA capability other than manual restart of
+the node following failure.
#### Limitations
@@ -70,60 +56,81 @@ Artemis, H2 database, Flow State Machine, P2P bridging. All storage is on the lo
## Requirements
### Goals
- * A logical Corda node should continue to function in the event of an individual component failure or (e.g.) restart.
- * No loss, corruption or duplication of data on the ledger due to component outages
- * Ensure continuity of flows throughout any disruption
- * Support software upgrades in a live network
-### Goals (out of scope for this design document)
- * Be able to distribute a node over more than two datacenters.
- * Be able to distribute a node between datacenters that are very far apart latency-wise (unless you don't care about performance).
- * Be able to tolerate arbitrary byzantine failures within a node cluster.
- * DR, specifically in the case of the complete failure of a site/datacentre/cluster or region will require a different solution to that specified here. For now DR is only supported where performant synchronous replication is feasible i.e. sites only a few miles apart.
+* A logical Corda node should continue to function in the event of an individual component failure or (e.g.) restart.
+* No loss, corruption or duplication of data on the ledger due to component outages
+* Ensure continuity of flows throughout any disruption
+* Support software upgrades in a live network
+
+### Non-goals (out of scope for this design document)
+
+* Be able to distribute a node over more than two datacenters.
+* Be able to distribute a node between datacenters that are very far apart latency-wise (unless you don't care about performance).
+* Be able to tolerate arbitrary byzantine failures within a node cluster.
+* DR, specifically in the case of the complete failure of a site/datacentre/cluster or region will require a different
+ solution to that specified here. For now DR is only supported where performant synchronous replication is feasible
+ i.e. sites only a few miles apart.
## Timeline
-This design document outlines a range of topologies which will be enabled through progressive enhancements from the short to long term.
+This design document outlines a range of topologies which will be enabled through progressive enhancements from the
+short to long term.
-On the timescales available for the current production pilot deployments we clearly do not have time to reach the ideal of a highly fault tolerant, horizontally scaled Corda.
+On the timescales available for the current production pilot deployments we clearly do not have time to reach the ideal
+of a highly fault tolerant, horizontally scaled Corda.
-Instead, I suggest that we can only achieve the simplest state of a standby Corda installation only by January 5th and even this is contingent on other enterprise features, such as external database and network map stabilisation being completed on this timescale, plus any issues raised by testing.
+Instead, I suggest that we can only achieve the simplest state of a standby Corda installation only by January 5th and
+even this is contingent on other enterprise features, such as external database and network map stabilisation being
+completed on this timescale, plus any issues raised by testing.
-For the March 31st timeline, I hope that we can achieve a more fully automatic node failover state, with the Artemis broker running as a cluster too. I include a diagram of a fully scaled Corda for completeness and so that I can discuss what work is re-usable/throw away.
+For the Enterprise GA timeline, I hope that we can achieve a more fully automatic node failover state, with the Artemis
+broker running as a cluster too. I include a diagram of a fully scaled Corda for completeness and so that I can discuss
+what work is re-usable/throw away.
-With regards to DR it is unclear how this would work where synchronous replication is not feasible. At this point we can only investigate approaches as an aside to the main thrust of work for HA support. In the synchronous replication mode it is assumed that the file and database replication can be used to ensure a cold DR backup.
+With regards to DR it is unclear how this would work where synchronous replication is not feasible. At this point we can
+only investigate approaches as an aside to the main thrust of work for HA support. In the synchronous replication mode
+it is assumed that the file and database replication can be used to ensure a cold DR backup.
## Design Decisions
The following design decisions are assumed by this design:
-1. [Near-term-target](./decisions/near-term-target.md): Hot-Cold HA (see below)
-2. [Medium-term target](./decisions/medium-term-target.md): Hot-Warm HA (see below)
-3. [External broker](./decisions/external-broker.md): Yes
-4. [Database message store](./decisions/db-msg-store.md): No
-5. [IP addressing mechanism](./decisions/ip-addressing.md): Load balancer
-6. [Crash shell start/stop](./decisions/crash-shell.md): No
-
-
+.. toctree::
+ :maxdepth: 1
+
+ decisions/near-term-target.md
+ decisions/medium-term-target.md
+ decisions/external-broker.md
+ decisions/db-msg-store.md
+ decisions/ip-addressing.md
+ decisions/crash-shell.md
## Target Solution
-
### Hot-Cold (minimum requirement)
-
+
-Small scale software failures on a node are recovered from locally via restarting/re-setting the offending component by the external (to JVM) "Health Watchdog" (HW) process. The HW process (eg a shell script or similar) would monitor parameters for java processes by periodically query them (sleep period a few seconds). This may require introduction of a few monitoring 'hooks' into Corda codebase or a "health" CorDapp the HW script can interface with. There would be a back-off logic to prevent continues restarts in the case of persistent failure.
+Small scale software failures on a node are recovered from locally via restarting/re-setting the offending component by
+the external (to JVM) "Health Watchdog" (HW) process. The HW process (eg a shell script or similar) would monitor
+parameters for java processes by periodically query them (sleep period a few seconds). This may require introduction of
+a few monitoring 'hooks' into Corda codebase or a "health" CorDapp the HW script can interface with. There would be a
+back-off logic to prevent continues restarts in the case of persistent failure.
We would provide a fully-functional sample HW script for Linux/Unix deployment platforms.
-The hot-cold design provides a backup VM and Corda deployment instance that can be manually started if the primary is stopped. The failed primary must be killed to ensure it is fully stopped.
+The hot-cold design provides a backup VM and Corda deployment instance that can be manually started if the primary is
+stopped. The failed primary must be killed to ensure it is fully stopped.
-For single-node deployment scenarios the simplest supported way to recover from failures is to re-start the entire set of Corda Node processes or reboot the node OS.
+For single-node deployment scenarios the simplest supported way to recover from failures is to re-start the entire set
+of Corda Node processes or reboot the node OS.
-For a 2-node HA deployment scenario a load balancer determines which node is active and routes traffic to that node.
-The load balancer will need to monitor the health of the primary and secondary nodes and automatically route traffic from the public IP address to the only active end-point. An external solution is required for the load balancer and health monitor. In the case of Azure cloud deployments, no custom code needs to be developed to support the health monitor.
+For a 2-node HA deployment scenario a load balancer determines which node is active and routes traffic to that node. The
+load balancer will need to monitor the health of the primary and secondary nodes and automatically route traffic from
+the public IP address to the only active end-point. An external solution is required for the load balancer and health
+monitor. In the case of Azure cloud deployments, no custom code needs to be developed to support the health monitor.
-An additional component will be written to prevent accidental dual running which is likely to make use of a database heartbeat table. Code size should be minimal.
+An additional component will be written to prevent accidental dual running which is likely to make use of a database
+heartbeat table. Code size should be minimal.
#### Advantages
@@ -146,7 +153,7 @@ An additional component will be written to prevent accidental dual running which
- Health reporting and process controls need to be developed by the customer.
### Hot-Warm (Medium-term solution)
-
+
Hot-warm aims to automate failover and provide failover of individual major components e.g. Artemis.
@@ -154,9 +161,10 @@ It involves Two key changes to the hot-cold design:
1) Separation and clustering of the Artemis broker.
2) Start and stop of flow processing without JVM exit.
-The consequences of these changes are that peer to peer bridging is separated from the node and a bridge control protocol must be developed.
-A leader election component is a pre-cursor to load balancing – likely to be a combination of custom code and standard library and, in the short term, is likely to be via the database.
-Cleaner handling of disconnects from the external components (Artemis and the database) will also be needed.
+The consequences of these changes are that peer to peer bridging is separated from the node and a bridge control
+protocol must be developed. A leader election component is a pre-cursor to load balancing – likely to be a combination
+of custom code and standard library and, in the short term, is likely to be via the database. Cleaner handling of
+disconnects from the external components (Artemis and the database) will also be needed.
#### Advantages
@@ -175,13 +183,15 @@ Cleaner handling of disconnects from the external components (Artemis and the da
- No horizontal scaling support.
- Deployment of master and slave may not be completely symmetric.
- Care must be taken with upgrades to ensure master/slave election operates across updates.
-- Artemis clustering does require a designated master at start-up of its cluster hence any restart involving changing the primary node will require configuration management.
+- Artemis clustering does require a designated master at start-up of its cluster hence any restart involving changing
+ the primary node will require configuration management.
- The development effort is much more significant than the hot-cold configuration.
### Hot-Hot (Long-term strategic solution)
-
+
-In this configuration, all nodes are actively processing work and share a clustered database. A mechanism for sharding or distributing the work load will need to be developed.
+In this configuration, all nodes are actively processing work and share a clustered database. A mechanism for sharding
+or distributing the work load will need to be developed.
#### Advantages
@@ -197,40 +207,76 @@ In this configuration, all nodes are actively processing work and share a cluste
- Will require handling of more states than just checkpoints e.g. soft locks and RPC subscriptions.
- Single flows will not be active on multiple nodes without future development work.
---------------------------------------------
-IMPLEMENTATION PLAN
-============================================
+## Implementation plan
-## Transitioning from Corda 2.0 to Manually Activated HA
+### Transitioning from Corda 2.0 to Manually Activated HA
-The current Corda is built to run as a fully contained single process with the Flow logic, H2 database and Artemis broker all bundled together. This limits the options for automatic replication, or subsystem failure. Thus, we must use external mechanisms to replicate the data in the case of failure. We also should ensure that accidental dual start is not possible in case of mistakes, or slow shutdown of the primary.
+The current Corda is built to run as a fully contained single process with the Flow logic, H2 database and Artemis
+broker all bundled together. This limits the options for automatic replication, or subsystem failure. Thus, we must use
+external mechanisms to replicate the data in the case of failure. We also should ensure that accidental dual start is
+not possible in case of mistakes, or slow shutdown of the primary.
Based on this situation, I suggest the following minimum development tasks are required for a tested HA deployment:
-1. Complete and merge JDBC support for an external clustered database. Azure SQL Server has been identified as the most likely initial deployment. With this we should be able to point at an HA database instance for Ledger and Checkpoint data.
-2. I am suggesting that for the near term we just use the Azure Load Balancer to hide the multiple machine addresses. This does require allowing a health monitoring link to the Artemis broker, but so far testing indicates that this operates without issue. Longer term we need to ensure that the network map and configuration support exists for the system to work with multiple TCP/IP endpoints advertised to external nodes. Ideally this should be rolled into the work for AMQP bridges and Floats.
-3. Implement a very simple mutual exclusion feature, so that an enterprise node cannot start if another is running onto the same database. This can be via a simple heartbeat update in the database, or possibly some other library. This feature should be enabled only when specified by configuration.
-4. The replication of the Artemis Message Queues will have to be via an external mechanism. On Azure we believe that the only practical solution is the 'Azure Files' approach which maps a virtual Samba drive. This we are testing in-case it is too slow to work. The mounting of separate Data Disks is possible, but they can only be mounted to one VM at a time, so they would not be compatible with the goal of no change requests for HA.
-5. Improve health monitoring to better indicate fault failure. Extending the existing JMX and logging support should achieve this, although we probably need to create watchdog CordApp that verifies that the State Machine and Artemis messaging are able to process new work and to monitor flow latency.
-6. Test the checkpointing mechanism and confirm that failures don't corrupt the data by deploying an HA setup on Azure and driving flows through the system as we stop the node randomly and switch to the other node. If this reveals any issues we will have to fix them.
-7. Confirm that the behaviour of the RPC Client API is stable through these restarts, from the perspective of a stateless REST server calling through to RPC. The RPC API should provide positive feedback to the application, so that it can respond in a controlled fashion when disconnected.
+1. Complete and merge JDBC support for an external clustered database. Azure SQL Server has been identified as the most
+ likely initial deployment. With this we should be able to point at an HA database instance for Ledger and Checkpoint data.
+2. I am suggesting that for the near term we just use the Azure Load Balancer to hide the multiple machine addresses.
+ This does require allowing a health monitoring link to the Artemis broker, but so far testing indicates that this
+ operates without issue. Longer term we need to ensure that the network map and configuration support exists for the
+ system to work with multiple TCP/IP endpoints advertised to external nodes. Ideally this should be rolled into the
+ work for AMQP bridges and Floats.
+3. Implement a very simple mutual exclusion feature, so that an enterprise node cannot start if another is running onto
+ the same database. This can be via a simple heartbeat update in the database, or possibly some other library. This
+ feature should be enabled only when specified by configuration.
+4. The replication of the Artemis Message Queues will have to be via an external mechanism. On Azure we believe that the
+ only practical solution is the 'Azure Files' approach which maps a virtual Samba drive. This we are testing in-case it
+ is too slow to work. The mounting of separate Data Disks is possible, but they can only be mounted to one VM at a
+ time, so they would not be compatible with the goal of no change requests for HA.
+5. Improve health monitoring to better indicate fault failure. Extending the existing JMX and logging support should
+ achieve this, although we probably need to create watchdog CordApp that verifies that the State Machine and Artemis
+ messaging are able to process new work and to monitor flow latency.
+6. Test the checkpointing mechanism and confirm that failures don't corrupt the data by deploying an HA setup on Azure
+ and driving flows through the system as we stop the node randomly and switch to the other node. If this reveals any
+ issues we will have to fix them.
+7. Confirm that the behaviour of the RPC Client API is stable through these restarts, from the perspective of a stateless
+ REST server calling through to RPC. The RPC API should provide positive feedback to the application, so that it can
+ respond in a controlled fashion when disconnected.
8. Work on flow hospital tools where needed
-## Moving Towards Automatic Failover HA
+### Moving Towards Automatic Failover HA
-To move towards more automatic failover handling we need to ensure that the node can be partially active i.e. live monitoring the health status and perhaps keeping major data structures in sync for faster activation, but not actually processing flows. This needs to be reversible without leakage, or destabilising the node as it is common to use manually driven master changes to help with software upgrades and to carry out regular node shutdown and maintenance. Also, to reduce the risks associated with the uncoupled replication of the Artemis message data and the database I would recommend that we move the Artemis broker out of the node to allow us to create a failover cluster. This is also in line with the goal of creating a AMQP bridges and Floats.
+To move towards more automatic failover handling we need to ensure that the node can be partially active i.e. live
+monitoring the health status and perhaps keeping major data structures in sync for faster activation, but not actually
+processing flows. This needs to be reversible without leakage, or destabilising the node as it is common to use manually
+driven master changes to help with software upgrades and to carry out regular node shutdown and maintenance. Also, to
+reduce the risks associated with the uncoupled replication of the Artemis message data and the database I would
+recommend that we move the Artemis broker out of the node to allow us to create a failover cluster. This is also in line
+with the goal of creating a AMQP bridges and Floats.
To this end I would suggest packages of work that include:
-1. Move the broker out of the node, which will require having a protocol that can be used to signal bridge creation and which decouples the network map. This is in line with the Flow work anyway.
-2. Create a mastering solution, probably using Atomix.IO although this might require a solution with a minimum of three nodes to avoid split brain issues. Ideally this service should be extensible in the future to lead towards an eventual state with Flow level sharding. Alternatively, we may be able to add a quick enterprise adaptor to ZooKeeper as master selector if time is tight. This will inevitably impact upon configuration and deployment support.
+1. Move the broker out of the node, which will require having a protocol that can be used to signal bridge creation and
+ which decouples the network map. This is in line with the Flow work anyway.
+2. Create a mastering solution, probably using Atomix.IO although this might require a solution with a minimum of three
+ nodes to avoid split brain issues. Ideally this service should be extensible in the future to lead towards an eventual
+ state with Flow level sharding. Alternatively, we may be able to add a quick enterprise adaptor to ZooKeeper as
+ master selector if time is tight. This will inevitably impact upon configuration and deployment support.
3. Test the leakage when we repeated start-stop the Node class and fix any resource leaks, or deadlocks that occur at shutdown.
-4. Switch the Artemis client code to be able to use the HA mode connection type and thus take advantage of the rapid failover code. Also, ensure that we can support multiple public IP addresses reported in the network map.
-5. Implement proper detection and handling of disconnect from the external database and/or Artemis broker, which should immediately drop the master status of the node and flush any incomplete flows.
-6. We should start looking at how to make RPC proxies recover from disconnect/failover, although this is probably not a top priority. However, it would be good to capture the missed results of completed flows and ensure the API allows clients to unregister/re-register Observables.
+4. Switch the Artemis client code to be able to use the HA mode connection type and thus take advantage of the rapid
+ failover code. Also, ensure that we can support multiple public IP addresses reported in the network map.
+5. Implement proper detection and handling of disconnect from the external database and/or Artemis broker, which should
+ immediately drop the master status of the node and flush any incomplete flows.
+6. We should start looking at how to make RPC proxies recover from disconnect/failover, although this is probably not a
+ top priority. However, it would be good to capture the missed results of completed flows and ensure the API allows
+ clients to unregister/re-register Observables.
## The Future
-Hopefully, most of the work from the automatic failover mode can be modified when we move to a full hot-hot sharding of flows across nodes. The mastering solution will need to be modified to negotiate finer grained claim on individual flows, rather than stopping the whole of Node. Also, the routing of messages will have to be thought about so that they go to the correct node for processing, but failover if the node dies. However, most of the other health monitoring and operational aspects should be reusable.
+Hopefully, most of the work from the automatic failover mode can be modified when we move to a full hot-hot sharding of
+flows across nodes. The mastering solution will need to be modified to negotiate finer grained claim on individual
+flows, rather than stopping the whole of Node. Also, the routing of messages will have to be thought about so that they
+go to the correct node for processing, but failover if the node dies. However, most of the other health monitoring and
+operational aspects should be reusable.
-We also need to look at DR issues and in particular how we might handle asynchronous replication and possibly alternative recovery/reconciliation mechanisms.
+We also need to look at DR issues and in particular how we might handle asynchronous replication and possibly
+alternative recovery/reconciliation mechanisms.
diff --git a/docs/source/design/hadr/HA deployment - Hot-Cold.png b/docs/source/design/hadr/hot-cold.png
similarity index 100%
rename from docs/source/design/hadr/HA deployment - Hot-Cold.png
rename to docs/source/design/hadr/hot-cold.png
diff --git a/docs/source/design/hadr/HA deployment - Hot-Hot.png b/docs/source/design/hadr/hot-hot.png
similarity index 100%
rename from docs/source/design/hadr/HA deployment - Hot-Hot.png
rename to docs/source/design/hadr/hot-hot.png
diff --git a/docs/source/design/hadr/HA deployment - Hot-Warm.png b/docs/source/design/hadr/hot-warm.png
similarity index 100%
rename from docs/source/design/hadr/HA deployment - Hot-Warm.png
rename to docs/source/design/hadr/hot-warm.png
diff --git a/docs/source/design/hadr/HA deployment - No HA.png b/docs/source/design/hadr/no-ha.png
similarity index 100%
rename from docs/source/design/hadr/HA deployment - No HA.png
rename to docs/source/design/hadr/no-ha.png
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 4a810feb63..58a87c71b9 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -60,6 +60,7 @@ We look forward to seeing what you can do with Corda!
design/certificate-hierarchies/design.md
design/failure-detection-master-election/design.md
design/float/design.md
+ design/hadr/design.md
.. toctree::
:caption: Participate
From 9868a18361a682730c292780a1938d5151ade42c Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 16:57:58 +0200
Subject: [PATCH 13/25] Docs: improve appearance of the Kafka design doc.
---
docs/source/design/hadr/design.md | 2 +
.../kafka-notary/decisions/index-storage.md | 50 +++++++
.../decisions/replicated-storage.md | 57 ++++++--
.../{kafkaNotary => kafka-notary}/design.md | 129 ++++++++++--------
.../images/high-level.svg | 0
.../images/kafka-high-level.svg | 0
.../images/steps.svg | 0
.../images/store-comparison.png | Bin
.../kafkaNotary/decisions/index-storage.md | 41 ------
docs/source/index.rst | 1 +
10 files changed, 166 insertions(+), 114 deletions(-)
create mode 100644 docs/source/design/kafka-notary/decisions/index-storage.md
rename docs/source/design/{kafkaNotary => kafka-notary}/decisions/replicated-storage.md (53%)
rename docs/source/design/{kafkaNotary => kafka-notary}/design.md (72%)
rename docs/source/design/{kafkaNotary => kafka-notary}/images/high-level.svg (100%)
rename docs/source/design/{kafkaNotary => kafka-notary}/images/kafka-high-level.svg (100%)
rename docs/source/design/{kafkaNotary => kafka-notary}/images/steps.svg (100%)
rename docs/source/design/{kafkaNotary => kafka-notary}/images/store-comparison.png (100%)
delete mode 100644 docs/source/design/kafkaNotary/decisions/index-storage.md
diff --git a/docs/source/design/hadr/design.md b/docs/source/design/hadr/design.md
index c6032a0a63..47cbffb1a0 100644
--- a/docs/source/design/hadr/design.md
+++ b/docs/source/design/hadr/design.md
@@ -1,5 +1,7 @@
# High availability support
+.. important:: This design document describes a feature of Corda Enterprise.
+
## Overview
### Background
diff --git a/docs/source/design/kafka-notary/decisions/index-storage.md b/docs/source/design/kafka-notary/decisions/index-storage.md
new file mode 100644
index 0000000000..008025aeae
--- /dev/null
+++ b/docs/source/design/kafka-notary/decisions/index-storage.md
@@ -0,0 +1,50 @@
+# Design Decision: Storage engine for committed state index
+
+## Background / Context
+
+The storage engine for the committed state index needs to support a single operation: "insert all values with unique
+keys, or abort if any key conflict found". A wide range of solutions could be used for that, from embedded key-value
+stores to full-fledged relational databases. However, since we don't need any extra features a RDBMS provides over a
+simple key-value store, we'll only consider lightweight embedded solutions to avoid extra operational costs.
+
+Most RDBMSs are also generally optimised for read performance (use B-tree based storage engines like InnoDB, MyISAM).
+Our workload is write-heavy and uses "random" primary keys (state references), which leads to particularly poor write
+performance for those types of engines – as we have seen with our Galera-based notary service. One exception is the
+MyRocks storage engine, which is based on RocksDB and can handle write workloads well, and is supported by Percona
+Server, and MariaDB. It is easier, however, to just use RocksDB directly.
+
+## Options Analysis
+
+### A. RocksDB
+
+An embedded key-value store based on log-structured merge-trees (LSM). It's highly configurable, provides lots of
+configuration options for performance tuning. E.g. can be tuned to run on different hardware – flash, hard disks or
+entirely in-memory.
+
+### B. LMDB
+
+An embedded key-value store using B+ trees, has ACID semantics and support for transactions.
+
+### C. MapDB
+
+An embedded Java database engine, providing persistent collection implementations. Uses memory mapped files. Simple to
+use, implements Java collection interfaces. Provides a HashMap implementation that we can use for storing committed
+states.
+
+### D. MVStore
+
+An embedded log structured key-value store. Provides a simple persistent map abstraction. Supports multiple map
+implementations (B-tree, R-tree, concurrent B-tree).
+
+## Recommendation and justification
+
+Performance test results when running on a Macbook Pro with Intel Core i7-4980HQ CPU @ 2.80GHz, 16 GB RAM, SSD:
+
+
+
+Multiple tests were run with varying number of transactions and input states per transaction: "1m x 1" denotes a million
+transactions with one input state.
+
+Proceed with Option A, as RocksDB provides most tuning options and achieves by far the best write performance.
+
+Note that the index storage engine can be replaced in the future with minimal changes required on the notary service.
\ No newline at end of file
diff --git a/docs/source/design/kafkaNotary/decisions/replicated-storage.md b/docs/source/design/kafka-notary/decisions/replicated-storage.md
similarity index 53%
rename from docs/source/design/kafkaNotary/decisions/replicated-storage.md
rename to docs/source/design/kafka-notary/decisions/replicated-storage.md
index 6c5a0604e4..b0fd0f24b7 100644
--- a/docs/source/design/kafkaNotary/decisions/replicated-storage.md
+++ b/docs/source/design/kafka-notary/decisions/replicated-storage.md
@@ -1,12 +1,10 @@
-
-
---------------------------------------------
-Design Decision: Replication framework
-================================
+# Design Decision: Replication framework
## Background / Context
-Multiple libraries/platforms exist for implementing fault-tolerant systems. In existing CFT notary implementations we experimented with using a traditional relational database with active replication, as well as a pure state machine replication approach based on CFT consensus algorithms.
+Multiple libraries/platforms exist for implementing fault-tolerant systems. In existing CFT notary implementations we
+experimented with using a traditional relational database with active replication, as well as a pure state machine
+replication approach based on CFT consensus algorithms.
## Options Analysis
@@ -14,7 +12,12 @@ Multiple libraries/platforms exist for implementing fault-tolerant systems. In e
*Raft-based fault-tolerant distributed coordination framework.*
-Our first CFT notary notary implementation was based on Atomix. Atomix can be easily embedded into a Corda node and provides abstractions for implementing custom replicated state machines. In our case the state machine manages committed Corda contract states. When notarisation requests are sent to Atomix, they get forwarded to the leader node. The leader persists the request to a log, and replicates it to all followers. Once the majority of followers acknowledge receipt, it applies the request to the user-defined state machine. In our case we commit all input states in the request to a JDBC-backed map, or return an error if conflicts occur.
+Our first CFT notary notary implementation was based on Atomix. Atomix can be easily embedded into a Corda node and
+provides abstractions for implementing custom replicated state machines. In our case the state machine manages committed
+Corda contract states. When notarisation requests are sent to Atomix, they get forwarded to the leader node. The leader
+persists the request to a log, and replicates it to all followers. Once the majority of followers acknowledge receipt,
+it applies the request to the user-defined state machine. In our case we commit all input states in the request to a
+JDBC-backed map, or return an error if conflicts occur.
#### Advantages
@@ -32,7 +35,8 @@ Our first CFT notary notary implementation was based on Atomix. Atomix can be ea
*Java persistence layer with a built-in Raft-based replicated key-value store.*
-Conceptually similar to Atomix, but persists the state machine instead of the request log. Built around an abstract persistent key-value store: requests get cleaned up after replication and processing.
+Conceptually similar to Atomix, but persists the state machine instead of the request log. Built around an abstract
+persistent key-value store: requests get cleaned up after replication and processing.
#### Advantages
@@ -52,7 +56,12 @@ Conceptually similar to Atomix, but persists the state machine instead of the re
*Paxos-based distributed streaming platform.*
-Atomix and Permazen implement both the replicated request log and the state machine, but Kafka only provides the log component. In theory that means more complexity having to implement request log processing and state machine management, but for our use case it's fairly straightforward: consume requests and insert input states into a database, marking the position of the last processed request. If the database is lost, we can just replay the log from the beginning. The main benefit of this approach is that it gives a more granular control and performance tuning opportunities in different parts of the system.
+Atomix and Permazen implement both the replicated request log and the state machine, but Kafka only provides the log
+component. In theory that means more complexity having to implement request log processing and state machine management,
+but for our use case it's fairly straightforward: consume requests and insert input states into a database, marking the
+position of the last processed request. If the database is lost, we can just replay the log from the beginning. The main
+benefit of this approach is that it gives a more granular control and performance tuning opportunities in different
+parts of the system.
#### Advantages
@@ -67,11 +76,16 @@ Atomix and Permazen implement both the replicated request log and the state mach
### D. Custom Raft-based implementation
-For even more granular control, we could replace Kafka with our own replicated log implementation. Kafka was started before the Raft consensus algorithm was introduced, and is using Zookeeper for coordination, which is based on Paxos for consensus. Paxos is known to be complex to understand and implement, and the main driver behind Raft was to create a much simpler algorithm with equivalent functionality. Hence, while reimplementing Zookeeper would be an onerous task, building a Raft-based alternative from scratch is somewhat feasible.
+For even more granular control, we could replace Kafka with our own replicated log implementation. Kafka was started
+before the Raft consensus algorithm was introduced, and is using Zookeeper for coordination, which is based on Paxos for
+consensus. Paxos is known to be complex to understand and implement, and the main driver behind Raft was to create a
+much simpler algorithm with equivalent functionality. Hence, while reimplementing Zookeeper would be an onerous task,
+building a Raft-based alternative from scratch is somewhat feasible.
#### Advantages
-Most of the implementations above have many extra features our use-case does not require. We can implement a relatively simple clean optimised solution that will most likely outperform others (Thomas Schroeter already built a prototype).
+Most of the implementations above have many extra features our use-case does not require. We can implement a relatively
+simple clean optimised solution that will most likely outperform others (Thomas Schroeter already built a prototype).
#### Disadvantages
@@ -81,9 +95,17 @@ Large effort required to make it highly performant and reliable.
*Synchronous replication plugin for MySQL, uses certification-based replication.*
-All of the options discussed so far were based on abstract state machine replication. Another approach is simply using a more traditional RDBMS with active replication support. Note that most relational databases support some form replication in general, however, very few provide strong consistency guarantees and ensure no data loss. Galera is a plugin for MySQL enabling synchronous multi-master replication.
+All of the options discussed so far were based on abstract state machine replication. Another approach is simply using a
+more traditional RDBMS with active replication support. Note that most relational databases support some form
+replication in general, however, very few provide strong consistency guarantees and ensure no data loss. Galera is a
+plugin for MySQL enabling synchronous multi-master replication.
-Galera uses certification-based replication, which operates on write-sets: a database server executes the (database) transaction, and only performs replication if the transaction requires write operations. If it does, the transaction is broadcasted to all other servers (using atomic broadcast). On delivery, each server executes a deterministic certification phase, which decides if the transaction can commit or must abort. If a conflict occurs, the entire cluster rolls back the transaction. This type of technique is quite efficient in low-conflict situations and allows read scaling (the latter is mostly irrelevant for our use case).
+Galera uses certification-based replication, which operates on write-sets: a database server executes the (database)
+transaction, and only performs replication if the transaction requires write operations. If it does, the transaction is
+broadcasted to all other servers (using atomic broadcast). On delivery, each server executes a deterministic
+certification phase, which decides if the transaction can commit or must abort. If a conflict occurs, the entire cluster
+rolls back the transaction. This type of technique is quite efficient in low-conflict situations and allows read scaling
+(the latter is mostly irrelevant for our use case).
#### Advantages
@@ -100,7 +122,11 @@ Galera uses certification-based replication, which operates on write-sets: a dat
*Distributed SQL database built on a transactional and strongly-consistent key-value store. Uses Raft-based replication.*
-On paper, CockroachDB looks like a great candidate, but it relies on sharding: data is automatically split into partitions, and each partition is replicated using Raft. It performs great for single-shard database transactions, and also natively supports cross-shard atomic commits. However, the majority of Corda transactions are likely to have more than one input state, which means that most transaction commits will require cross-shard database transactions. In our tests we were only able to achieve up to 30 TPS in a 3 DC deployment.
+On paper, CockroachDB looks like a great candidate, but it relies on sharding: data is automatically split into
+partitions, and each partition is replicated using Raft. It performs great for single-shard database transactions, and
+also natively supports cross-shard atomic commits. However, the majority of Corda transactions are likely to have more
+than one input state, which means that most transaction commits will require cross-shard database transactions. In our
+tests we were only able to achieve up to 30 TPS in a 3 DC deployment.
#### Advantages
@@ -114,4 +140,5 @@ On paper, CockroachDB looks like a great candidate, but it relies on sharding: d
## Recommendation and justification
-Proceed with Option C. A Kafka-based solution strikes the best balance between performance and the required effort to build a production-ready solution.
\ No newline at end of file
+Proceed with Option C. A Kafka-based solution strikes the best balance between performance and the required effort to
+build a production-ready solution.
\ No newline at end of file
diff --git a/docs/source/design/kafkaNotary/design.md b/docs/source/design/kafka-notary/design.md
similarity index 72%
rename from docs/source/design/kafkaNotary/design.md
rename to docs/source/design/kafka-notary/design.md
index 46f40d5da8..e200b4b018 100644
--- a/docs/source/design/kafkaNotary/design.md
+++ b/docs/source/design/kafka-notary/design.md
@@ -1,46 +1,18 @@
-
-
# High Performance CFT Notary Service
-DOCUMENT MANAGEMENT
----
-
-## Document Control
-
-| Title | High Performance CFT Notary Service |
-| -------------------- | ------------------------------------------------------------ |
-| Date | 27 March 2018 |
-| Author | Andrius Dagys, Thomas Schroeter |
-| Distribution | Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery |
-| Corda target version | Enterprise |
-| JIRA reference | https://r3-cev.atlassian.net/browse/CID-294 |
-
-## Approvals
-
-#### Document Sign-off
-
-| Author | Andrius Dagys |
-| ----------------- | -------------------------------------------------- |
-| Reviewer(s) | (GitHub PR reviewers) |
-| Final approver(s) | (GitHub PR approver(s) from Design Approval Board) |
-
-#### Design Decisions
-
-| Description | Recommendation | Approval |
-| ---------------------------------------- | --------------- | ----------------------- |
-| [Replication framework](decisions/replicated-storage.md) | Option C | (Design Approval Board) |
-| [Index storage engine](decisions/index-storage.md) | Option A |(Design Approval Board) |
-
-HIGH LEVEL DESIGN
----
+.. important:: This design document describes a feature of Corda Enterprise.
## Overview
-This proposal describes the architecture and an implementation for a high performance crash fault-tolerant notary service, operated by a single party.
+This proposal describes the architecture and an implementation for a high performance crash fault-tolerant notary
+service, operated by a single party.
## Background
-For initial deployments, we expect to operate a single non-validating CFT notary service. The current Raft and Galera implementations cannot handle more than 100-200 TPS, which is likely to be a serious bottleneck in the near future. To support our clients and compete with other platforms we need a notary service that can handle TPS in the order of 1,000s.
+For initial deployments, we expect to operate a single non-validating CFT notary service. The current Raft and Galera
+implementations cannot handle more than 100-200 TPS, which is likely to be a serious bottleneck in the near future. To
+support our clients and compete with other platforms we need a notary service that can handle TPS in the order of
+1,000s.
## Scope
@@ -69,28 +41,59 @@ The notary service should be able to:
- Tolerate single datacenter failure.
- Tolerate single disk failure/corruption.
-## Target Solution
-
-Having explored different solutions for implementing notaries we propose the following architecture for a CFT notary, consisting of two components:
-
-1. A central replicated request log, which orders and stores all notarisation requests. Efficient append-only log storage can be used along with batched replication, making performance mainly dependent on network throughput.
-2. Worker nodes that service clients and maintain a consumed state index. The state index is a simple key-value store containing committed state references and pointers to the corresponding request positions in the log. If lost, it can be reconstructed by replaying and applying request log entries. There is a range of fast key-value stores that can be used for implementation.
-
-
-
-At high level, client notarisation requests first get forwarded to a central replicated request log. The requests are then applied in order to the consumed state index in each worker to verify input state uniqueness. Each individual request outcome (success/conflict) is then sent back to the initiating client by the worker responsible for it. To emphasise, each worker will process _all_ notarisation requests, but only respond to the ones it received directly.
-
-Messages (requests) in the request log are persisted and retained forever. The state index has a relatively low footprint and can in theory be kept entirely in memory. However, when a worker crashes, replaying the log to recover the index may take too long depending on the SLAs. Additionally, we expect applying the requests to the index to be much faster than consuming request batches even with persistence enabled.
-
-_Technically_, the request log can also be kept entirely in memory, and the cluster will still be able to tolerate up to $f < n/2$ node failures. However, if for some reason the entire cluster is shut down (e.g. administrator error), all requests will be forever lost! Therefore, we should avoid it.
-
-The request log does not need to be a separate cluster, and the worker nodes _could_ maintain the request log replicas locally. This would allow workers to consume ordered requests from the local copy rather than from a leader node across the network. It is hard to say, however, if this would have a significant performance impact without performing tests in the specific network environment (e.g. the bottleneck could be the replication step).
-
-One advantage of hosting the request log in a separate cluster is that it makes it easier to independently scale the number of worker nodes. If, for example, if transaction validation and resolution is required when receiving a notarisation request, we might find that a significant number of receivers is required to generate enough incoming traffic to the request log. On the flipside, increasing the number of workers adds additional consumers and load on the request log, so a balance needs to be found.
## Design Decisions
-As the design decision documents below discuss, the most suitable platform for managing the request log was chosen to be [Apache Kafka](https://kafka.apache.org/), and [RocksDB](http://rocksdb.org/) as the storage engine for the committed state index.
+.. toctree::
+ :maxdepth: 2
+
+ decisions/replicated-storage.md
+ decisions/index-storage.md
+
+## Target Solution
+
+Having explored different solutions for implementing notaries we propose the following architecture for a CFT notary,
+consisting of two components:
+
+1. A central replicated request log, which orders and stores all notarisation requests. Efficient append-only log
+ storage can be used along with batched replication, making performance mainly dependent on network throughput.
+2. Worker nodes that service clients and maintain a consumed state index. The state index is a simple key-value store
+ containing committed state references and pointers to the corresponding request positions in the log. If lost, it can be
+ reconstructed by replaying and applying request log entries. There is a range of fast key-value stores that can be used
+ for implementation.
+
+
+
+At high level, client notarisation requests first get forwarded to a central replicated request log. The requests are
+then applied in order to the consumed state index in each worker to verify input state uniqueness. Each individual
+request outcome (success/conflict) is then sent back to the initiating client by the worker responsible for it. To
+emphasise, each worker will process _all_ notarisation requests, but only respond to the ones it received directly.
+
+Messages (requests) in the request log are persisted and retained forever. The state index has a relatively low
+footprint and can in theory be kept entirely in memory. However, when a worker crashes, replaying the log to recover the
+index may take too long depending on the SLAs. Additionally, we expect applying the requests to the index to be much
+faster than consuming request batches even with persistence enabled.
+
+_Technically_, the request log can also be kept entirely in memory, and the cluster will still be able to tolerate up to
+$f < n/2$ node failures. However, if for some reason the entire cluster is shut down (e.g. administrator error), all
+requests will be forever lost! Therefore, we should avoid it.
+
+The request log does not need to be a separate cluster, and the worker nodes _could_ maintain the request log replicas
+locally. This would allow workers to consume ordered requests from the local copy rather than from a leader node across
+the network. It is hard to say, however, if this would have a significant performance impact without performing tests in
+the specific network environment (e.g. the bottleneck could be the replication step).
+
+One advantage of hosting the request log in a separate cluster is that it makes it easier to independently scale the
+number of worker nodes. If, for example, if transaction validation and resolution is required when receiving a
+notarisation request, we might find that a significant number of receivers is required to generate enough incoming
+traffic to the request log. On the flipside, increasing the number of workers adds additional consumers and load on the
+request log, so a balance needs to be found.
+
+## Design Decisions
+
+As the design decision documents below discuss, the most suitable platform for managing the request log was chosen to be
+[Apache Kafka](https://kafka.apache.org/), and [RocksDB](http://rocksdb.org/) as the storage engine for the committed
+state index.
| Heading | Recommendation |
| ---------------------------------------- | -------------- |
@@ -106,13 +109,23 @@ A Kafka-based notary service does not deviate much from the high-level target so
-For our purposes we can view Kafka as a replicated durable queue we can push messages (_records_) to and consume from. Consuming a record just increments the consumer's position pointer, and does not delete it. Old records eventually expire and get cleaned up, but the expiry time can be set to "indefinite" so all data is retained (it's a supported use-case).
+For our purposes we can view Kafka as a replicated durable queue we can push messages (_records_) to and consume from.
+Consuming a record just increments the consumer's position pointer, and does not delete it. Old records eventually
+expire and get cleaned up, but the expiry time can be set to "indefinite" so all data is retained (it's a supported
+use-case).
-The main caveat is that Kafka does not allow consuming records from replicas directly – all communication has to be routed via a single leader node.
+The main caveat is that Kafka does not allow consuming records from replicas directly – all communication has to be
+routed via a single leader node.
-In Kafka, logical queues are called _topics_. Each topic can be split into multiple partitions. Topics are assigned a _replication factor_, which specifies how many replicas Kafka should create for each partition. Each replicated partition has an assigned leader node which producers and consumers can connect to. Partitioning topics and evenly distributing partition leadership allows Kafka to scale well horizontally.
+In Kafka, logical queues are called _topics_. Each topic can be split into multiple partitions. Topics are assigned a
+_replication factor_, which specifies how many replicas Kafka should create for each partition. Each replicated
+partition has an assigned leader node which producers and consumers can connect to. Partitioning topics and evenly
+distributing partition leadership allows Kafka to scale well horizontally.
-In our use-case, however, we can only use a single-partition topic for notarisation requests, which limits the total capacity and throughput to a single machine. Partitioning requests would break global transaction ordering guarantees for consumers. There is a [proposal](#kafka-throughput-scaling-via-partitioning) from Rick Parker on how we _could_ use partitioning to potentially avoid traffic contention on the single leader node.
+In our use-case, however, we can only use a single-partition topic for notarisation requests, which limits the total
+capacity and throughput to a single machine. Partitioning requests would break global transaction ordering guarantees
+for consumers. There is a [proposal](#kafka-throughput-scaling-via-partitioning) from Rick Parker on how we _could_ use
+partitioning to potentially avoid traffic contention on the single leader node.
### Data model
diff --git a/docs/source/design/kafkaNotary/images/high-level.svg b/docs/source/design/kafka-notary/images/high-level.svg
similarity index 100%
rename from docs/source/design/kafkaNotary/images/high-level.svg
rename to docs/source/design/kafka-notary/images/high-level.svg
diff --git a/docs/source/design/kafkaNotary/images/kafka-high-level.svg b/docs/source/design/kafka-notary/images/kafka-high-level.svg
similarity index 100%
rename from docs/source/design/kafkaNotary/images/kafka-high-level.svg
rename to docs/source/design/kafka-notary/images/kafka-high-level.svg
diff --git a/docs/source/design/kafkaNotary/images/steps.svg b/docs/source/design/kafka-notary/images/steps.svg
similarity index 100%
rename from docs/source/design/kafkaNotary/images/steps.svg
rename to docs/source/design/kafka-notary/images/steps.svg
diff --git a/docs/source/design/kafkaNotary/images/store-comparison.png b/docs/source/design/kafka-notary/images/store-comparison.png
similarity index 100%
rename from docs/source/design/kafkaNotary/images/store-comparison.png
rename to docs/source/design/kafka-notary/images/store-comparison.png
diff --git a/docs/source/design/kafkaNotary/decisions/index-storage.md b/docs/source/design/kafkaNotary/decisions/index-storage.md
deleted file mode 100644
index 8f2e22db6b..0000000000
--- a/docs/source/design/kafkaNotary/decisions/index-storage.md
+++ /dev/null
@@ -1,41 +0,0 @@
-
-
---------------------------------------------
-Design Decision: Storage engine for committed state index
-============================================
-
-## Background / Context
-
-The storage engine for the committed state index needs to support a single operation: "insert all values with unique keys, or abort if any key conflict found". A wide range of solutions could be used for that, from embedded key-value stores to full-fledged relational databases. However, since we don't need any extra features a RDBMS provides over a simple key-value store, we'll only consider lightweight embedded solutions to avoid extra operational costs.
-
-Most RDBMSs are also generally optimised for read performance (use B-tree based storage engines like InnoDB, MyISAM). Our workload is write-heavy and uses "random" primary keys (state references), which leads to particularly poor write performance for those types of engines – as we have seen with our Galera-based notary service. One exception is the MyRocks storage engine, which is based on RocksDB and can handle write workloads well, and is supported by Percona Server, and MariaDB. It is easier, however, to just use RocksDB directly.
-
-## Options Analysis
-
-### A. RocksDB
-
-An embedded key-value store based on log-structured merge-trees (LSM). It's highly configurable, provides lots of configuration options for performance tuning. E.g. can be tuned to run on different hardware – flash, hard disks or entirely in-memory.
-
-### B. LMDB
-
-An embedded key-value store using B+ trees, has ACID semantics and support for transactions.
-
-### C. MapDB
-
-An embedded Java database engine, providing persistent collection implementations. Uses memory mapped files. Simple to use, implements Java collection interfaces. Provides a HashMap implementation that we can use for storing committed states.
-
-### D. MVStore
-
-An embedded log structured key-value store. Provides a simple persistent map abstraction. Supports multiple map implementations (B-tree, R-tree, concurrent B-tree).
-
-## Recommendation and justification
-
-Performance test results when running on a Macbook Pro with Intel Core i7-4980HQ CPU @ 2.80GHz, 16 GB RAM, SSD:
-
-
-
-Multiple tests were run with varying number of transactions and input states per transaction: "1m x 1" denotes a million transactions with one input state.
-
-Proceed with Option A, as RocksDB provides most tuning options and achieves by far the best write performance.
-
-Note that the index storage engine can be replaced in the future with minimal changes required on the notary service.
\ No newline at end of file
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 58a87c71b9..ff33120206 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -61,6 +61,7 @@ We look forward to seeing what you can do with Corda!
design/failure-detection-master-election/design.md
design/float/design.md
design/hadr/design.md
+ design/kafka-notary/design.md
.. toctree::
:caption: Participate
From 987875d60032daf42e42c323018c4f526d8874b7 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 17:06:54 +0200
Subject: [PATCH 14/25] Docs: improve the appearance of monitoring and
management
---
.../MonitoringLoggingOverview.png | Bin
.../design.md | 167 +++++++++---------
docs/source/index.rst | 1 +
3 files changed, 86 insertions(+), 82 deletions(-)
rename docs/source/design/{monitoring_management => monitoring-management}/MonitoringLoggingOverview.png (100%)
rename docs/source/design/{monitoring_management => monitoring-management}/design.md (80%)
diff --git a/docs/source/design/monitoring_management/MonitoringLoggingOverview.png b/docs/source/design/monitoring-management/MonitoringLoggingOverview.png
similarity index 100%
rename from docs/source/design/monitoring_management/MonitoringLoggingOverview.png
rename to docs/source/design/monitoring-management/MonitoringLoggingOverview.png
diff --git a/docs/source/design/monitoring_management/design.md b/docs/source/design/monitoring-management/design.md
similarity index 80%
rename from docs/source/design/monitoring_management/design.md
rename to docs/source/design/monitoring-management/design.md
index 48638d9f91..15c9f97750 100644
--- a/docs/source/design/monitoring_management/design.md
+++ b/docs/source/design/monitoring-management/design.md
@@ -1,76 +1,67 @@
-
-
# Monitoring and Logging Design
-DOCUMENT MANAGEMENT
----
-
-## Document Control
-
-| Title | Monitoring and Logging |
-| -------------------- | ---------------------------------------- |
-| Date | 20th November 2017 |
-| Author | Jose Coll |
-| Distribution | Design Approval Board, DevOps, Platform Development (Data Deployment) |
-| Corda target version | Enterprise (primarily) |
-| JIRA reference | https://r3-cev.atlassian.net/browse/ENT-1109 |
-
-## Approvals
-
-#### Document Sign-off
-
-| Author | Jose Coll |
-| ----------------- | ---------------------------------------- |
-| Reviewer(s) | DevOps, Product Management, Platform Development (Data Deployment) |
-| Final approver(s) | Design Approval Board (DAB) |
-
-#### Design Decisions
-
-| Description | Recommendation | Approval |
-| ---------------------------------------- | -------------- | -------- |
-| JMX for Eventing, SLF4J for Logging | JMX, SLF4J | |
-| Continue or discontinue usage of Jolokia? | TBC | |
-| Separation of Corda Node and CorDapp log outputs | TBC | |
-
-## Document History
-
-To be managed by GitHub revision control.
-
-HIGH LEVEL DESIGN
----
-
## Overview
-The successful deployment and operation of Corda (and associated CorDapps) in a Production environment requires a supporting monitoring and management capability to ensure that both a Corda node (and its supporting middleware infrastructure) and deployed CorDapps execute in a functionally correct and consistent manner. A pro-active monitoring solution will enable the immediate alerting of unexpected behaviours and associated management tooling should enable swift corrective action.
+The successful deployment and operation of Corda (and associated CorDapps) in a production environment requires a
+supporting monitoring and management capability to ensure that both a Corda node (and its supporting middleware
+infrastructure) and deployed CorDapps execute in a functionally correct and consistent manner. A pro-active monitoring
+solution will enable the immediate alerting of unexpected behaviours and associated management tooling should enable
+swift corrective action.
-This design defines the monitoring metrics and logging outputs, and associated implementation approach, required to enable a proactive enterprise management and monitoring solution of Corda nodes and their associated CorDapps. This also includes a set of "liveliness" checks to verify and validate correct functioning of a Corda node (and associated CorDapp).
+This design defines the monitoring metrics and logging outputs, and associated implementation approach, required to
+enable a proactive enterprise management and monitoring solution of Corda nodes and their associated CorDapps. This also
+includes a set of "liveliness" checks to verify and validate correct functioning of a Corda node (and associated
+CorDapp).
-In the above diagram, the left handside dotted box represents the components within scope for this design. It is anticipated that 3rd party enterprise-wide system management solutions will closely follow the architectural component breakdown in the right handside box, and thus seamlessly integrate with the proposed Corda event generation and logging design. The interface between the two is de-coupled and based on textual log file parsing and adoption of industry standard JMX MBean events.
+In the above diagram, the left handside dotted box represents the components within scope for this design. It is
+anticipated that 3rd party enterprise-wide system management solutions will closely follow the architectural component
+breakdown in the right handside box, and thus seamlessly integrate with the proposed Corda event generation and logging
+design. The interface between the two is de-coupled and based on textual log file parsing and adoption of industry
+standard JMX MBean events.
## Background
Corda currently exposes several forms of monitorable content:
-* Application log files using the [SLF4J](https://www.slf4j.org/) (Simple Logging Facade for Java) which provides an abstraction over various concrete logging frameworks (several of which are used within other Corda dependent 3rd party libraries). Corda itself uses the [Apache Log4j 2](https://logging.apache.org/log4j/2.x/) framework for logging output to a set of configured loggers (to include a rolling file appender and the console). Currently the same set of rolling log files are used by both the node and CorDapp(s) deployed to the node. The log file policy specifies a 60 day rolling period (but preserving the most recent 10Gb) with a maximum of 10 log files per day.
+* Application log files using the [SLF4J](https://www.slf4j.org/) (Simple Logging Facade for Java) which provides an
+ abstraction over various concrete logging frameworks (several of which are used within other Corda dependent 3rd party
+ libraries). Corda itself uses the [Apache Log4j 2](https://logging.apache.org/log4j/2.x/) framework for logging output
+ to a set of configured loggers (to include a rolling file appender and the console). Currently the same set of rolling
+ log files are used by both the node and CorDapp(s) deployed to the node. The log file policy specifies a 60 day
+ rolling period (but preserving the most recent 10Gb) with a maximum of 10 log files per day.
-* Industry standard exposed JMX-based metrics, both standard JVM and custom application metrics are exposed directly using the [Dropwizard.io](http://metrics.dropwizard.io/3.2.3/) *JmxReporter* facility. In addition Corda also uses the [Jolokia](https://jolokia.org/) framework to make these accesible over an HTTP endpoint. Typically, these metrics are also collated by 3rd party tools to provide pro-active monitoring, visualisation and re-active management.
+* Industry standard exposed JMX-based metrics, both standard JVM and custom application metrics are exposed directly
+ using the [Dropwizard.io](http://metrics.dropwizard.io/3.2.3/) *JmxReporter* facility. In addition Corda also uses the
+ [Jolokia](https://jolokia.org/) framework to make these accesible over an HTTP endpoint. Typically, these metrics are
+ also collated by 3rd party tools to provide pro-active monitoring, visualisation and re-active management.
A full list of currently exposed metrics can be found in the appendix A.
-The Corda flow framework also has *placeholder* support for recording additional Audit data in application flows using a simple *AuditService*. Audit event types are currently loosely defined and data is stored in string form (as a description and contextual map of name-value pairs) together with a timestamp and principal name. This service does not currently have an implementation of the audit event data to a persistent store.
+The Corda flow framework also has *placeholder* support for recording additional Audit data in application flows using a
+simple *AuditService*. Audit event types are currently loosely defined and data is stored in string form (as a
+description and contextual map of name-value pairs) together with a timestamp and principal name. This service does not
+currently have an implementation of the audit event data to a persistent store.
-The `ProgressTracker` component is used to report the progress of a flow throughout its business lifecycle, and is typically configured to report the start of a specific business workflow step (often before and after message send and receipt where other participants form part of a multi-staged business workflow). The progress tracking framework was designed to become a vital part of how exceptions, errors, and other faults are surfaced to human operators for investigation and resolution. It provides a means of exporting progress as a hierachy of steps in a way that’s both human readable and machine readable.
+The `ProgressTracker` component is used to report the progress of a flow throughout its business lifecycle, and is
+typically configured to report the start of a specific business workflow step (often before and after message send and
+receipt where other participants form part of a multi-staged business workflow). The progress tracking framework was
+designed to become a vital part of how exceptions, errors, and other faults are surfaced to human operators for
+investigation and resolution. It provides a means of exporting progress as a hierachy of steps in a way that’s both
+human readable and machine readable.
In addition, in-house Corda networks at R3 use the following tools:
-* Standard [DataDog](https://docs.datadoghq.com/guides/overview/) probes are currently used to provide e-mail based alerting for running Corda nodes. [Telegraf](https://github.com/influxdata/telegraf) is used in conjunction with a [Jolokia agent](https://jolokia.org/agent.html) as a collector to parse emitted metric data and push these to DataDog.
-* Investigation is underway to evaluate [ELK](https://logz.io/learn/complete-guide-elk-stack/) as a mechanism for parsing, indexing, storing, searching, and visualising log file data.
+* Standard [DataDog](https://docs.datadoghq.com/guides/overview/) probes are currently used to provide e-mail based
+ alerting for running Corda nodes. [Telegraf](https://github.com/influxdata/telegraf) is used in conjunction with a
+ [Jolokia agent](https://jolokia.org/agent.html) as a collector to parse emitted metric data and push these to DataDog.
+* Investigation is underway to evaluate [ELK](https://logz.io/learn/complete-guide-elk-stack/) as a mechanism for parsing,
+ indexing, storing, searching, and visualising log file data.
## Scope
-#### Goals
+### Goals
- Add new metrics at the level of a Corda node, individual CorDapps, and other supporting Corda components (float, bridge manager, doorman)
- Support liveness checking of the node, deployed flows and services
@@ -79,17 +70,12 @@ In addition, in-house Corda networks at R3 use the following tools:
- Implement the audit framework that is currently only a stubbed out API
- Ensure that Corda can be used with third party systems for monitoring, log collection and audit
-#### Out of scope
+### Out of scope
- Recommendation of a specific set of monitoring tools.
- Monitoring of network infrastructure like the network map service.
- Monitoring of liveness of peers.
-#### Reference(s) to similar work
-
-* [Flow Audit Logging and Management Design](https://r3-cev.atlassian.net/wiki/spaces/AR/pages/127180188/Flow+Audit+Logging+and+Management+Design) - this proposal from April 17 also includes a prototype specification of an [Audit API](https://github.com/corda/corda/pull/620).
-* [Corda Support - Monitoring Requirements Guide](https://r3-cev.atlassian.net/wiki/spaces/CCD/pages/131398183/Support+Team+Monitoring+Requirements?preview=/131398183/131398332/monitoring_requirements.v1.0.docx)
-
## Requirements
Expanding on the first goal identified above, the following requirements have been identified:
@@ -129,19 +115,22 @@ Expanding on the first goal identified above, the following requirements have be
#### Use Cases
-It is envisaged that operational management and support teams will use the metrics and information collated from this design, either directly or through an integrated enterprise-wide systems management platform, to perform the following:
+It is envisaged that operational management and support teams will use the metrics and information collated from this
+design, either directly or through an integrated enterprise-wide systems management platform, to perform the following:
- Validate liveness and correctness of Corda nodes and deployed CorDapps, and the physical machine or VM they are hosted on.
* Use logging to troubleshoot operational failures (in conjunction with other supporting failure information: eg. GC logs, stack traces)
-* Use reported metrics to fine-tune and tweak operational systems parameters (including dynamic setting of logging modules and severity levels to enable detailed logging).
+* Use reported metrics to fine-tune and tweak operational systems parameters (including dynamic setting of logging
+ modules and severity levels to enable detailed logging).
## Design Decisions
The following design decisions are to be confirmed:
1. JMX for metric eventing and SLF4J for logging
- Both above are widely adopted mechanisms that enable pluggability and seamless inteoperability with other 3rd party enterprise-wide system management solutions.
+ Both above are widely adopted mechanisms that enable pluggability and seamless inteoperability with other 3rd party
+ enterprise-wide system management solutions.
2. Continue or discontinue usage of Jolokia? (TBC - most likely yes, subject to read-only security lock-down)
3. Separation of Corda Node and CorDapp log outputs (TBC)
@@ -149,39 +138,59 @@ The following design decisions are to be confirmed:
There are a number of activities and parts to the solution proposal:
-1. Extend JMX metric reporting through the Corda Monitoring Service and associated jolokia conversion to REST/JSON) coverage (see implementation details) to include all Corda services (vault, key management, transaction storage, network map, attachment storage, identity, cordapp provision) & subsytems components (state machine)
+1. Extend JMX metric reporting through the Corda Monitoring Service and associated jolokia conversion to REST/JSON)
+ coverage (see implementation details) to include all Corda services (vault, key management, transaction storage,
+ network map, attachment storage, identity, cordapp provision) & subsytems components (state machine)
2. Review and extend Corda log4j2 coverage (see implementation details) to ensure
- consistent use of severities according to situation
- consistent coverage across all modules and libraries
- - consistent output format with all relevant contextual information (node identity, user/execution identity, flow session identity, version information)
+ - consistent output format with all relevant contextual information (node identity, user/execution identity, flow
+ session identity, version information)
- separation of Corda Node and CorDapp log outputs (TBC)
For consistent interleaving reasons, it may be desirable to continue using combined log output.
Publication of a *code style guide* to define when to use different severity levels.
-3. Implement a CorDapp to perform sanity checking of flow framework, fundamental corda services (vault, identity), and dependent middleware infrastructure (message broker, database).
- [TBC]
+3. Implement a CorDapp to perform sanity checking of flow framework, fundamental corda services (vault, identity), and
+ dependent middleware infrastructure (message broker, database).
-4. Revisit and enhance as necessary the [Audit service API]( https://github.com/corda/corda/pull/620 ), and provide a persistent backed implementation, to include:
+4. Revisit and enhance as necessary the [Audit service API]( https://github.com/corda/corda/pull/620 ), and provide a
+ persistent backed implementation, to include:
- - specification of Business Event Categories (eg. User authentication and authorisation, Flow-based triggering, Corda Service invocations, Oracle invocations, Flow-based send/receive calls, RPC invocations)
+ - specification of Business Event Categories (eg. User authentication and authorisation, Flow-based triggering, Corda
+ Service invocations, Oracle invocations, Flow-based send/receive calls, RPC invocations)
- auto-enabled with Progress Tracker as Business Event generator
- - RDBMS backed persistent store (independent of Corda database), with adequate security controls (authenticated access and read-only permissioning). Captured information should be consistent with standard logging, and it may be desirable to define auditable loggers within log4j2 to automatically redirect certain types of log events to the audit service.
+ - RDBMS backed persistent store (independent of Corda database), with adequate security controls (authenticated access
+ and read-only permissioning). Captured information should be consistent with standard logging, and it may be desirable
+ to define auditable loggers within log4j2 to automatically redirect certain types of log events to the audit service.
-5. Ensure 3rd party middleware drivers (JDBC for database, MQ for messaging) and the JVM are correctly configured to export JMX metrics. Ensure the [JVM Hotspot VM command-line parameters](https://docs.oracle.com/javase/8/docs/technotes/guides/troubleshoot/clopts001.html) are tuned correctly to enable detailed troubleshooting upon failure. Many of these metrics are already automatically exposed to 3rd party profiling tools such as Yourkit.
+5. Ensure 3rd party middleware drivers (JDBC for database, MQ for messaging) and the JVM are correctly configured to export
+ JMX metrics. Ensure the [JVM Hotspot VM command-line parameters](https://docs.oracle.com/javase/8/docs/technotes/guides/troubleshoot/clopts001.html)
+ are tuned correctly to enable detailed troubleshooting upon failure. Many of these metrics are already automatically
+ exposed to 3rd party profiling tools such as Yourkit.
- Apache Artemis has a comprehensive [management API](https://activemq.apache.org/artemis/docs/latest/management.html) that allows a user to modify a server configuration, create new resources (e.g. addresses and queues), inspect these resources (e.g. how many messages are currently held in a queue) and interact with it (e.g. to remove messages from a queue), and exposes key metrics using JMX (using role-based authentication using Artemis's JAAS plug-in support to ensure Artemis cannot be controlled via JMX)..
+ Apache Artemis has a comprehensive [management API](https://activemq.apache.org/artemis/docs/latest/management.html)
+ that allows a user to modify a server configuration, create new resources (e.g. addresses and queues), inspect these
+ resources (e.g. how many messages are currently held in a queue) and interact with it (e.g. to remove messages from a
+ queue), and exposes key metrics using JMX (using role-based authentication using Artemis's JAAS plug-in support to
+ ensure Artemis cannot be controlled via JMX)..
##### Restrictions
-- As of Corda M11, Java serialisation in the Corda node has been restricted, meaning MBeans access via the JMX port will no longer work.
-- Usage of Jolokia requires bundling an associated *jolokia-agent-war* file on the classpath, and associated configuration to export JMX monitoring statistics and data over the Jolokia REST/JSON interface. An associated *jolokia-access.xml* configuration file defines role based permissioning to HTTP operations.
+As of Corda M11, Java serialisation in the Corda node has been restricted, meaning MBeans access via the JMX port will no longer work.
+
+Usage of Jolokia requires bundling an associated *jolokia-agent-war* file on the classpath, and associated configuration
+to export JMX monitoring statistics and data over the Jolokia REST/JSON interface. An associated *jolokia-access.xml*
+configuration file defines role based permissioning to HTTP operations.
## Complementary solutions
-A number of 3rd party libraries and frameworks have been proposed which solve different parts of the end to end solution, albeit with most focusing on the Agent Collector (eg. collect metrics from systems then output them to some backend storage.), Event Storage and Search, and Visualization aspects of Systems Management and Monitoring. These include:
+A number of 3rd party libraries and frameworks have been proposed which solve different parts of the end to end
+solution, albeit with most focusing on the Agent Collector (eg. collect metrics from systems then output them to some
+backend storage.), Event Storage and Search, and Visualization aspects of Systems Management and Monitoring. These
+include:
| Solution | Type (OS/£) | Description |
| ---------------------------------------- | ----------- | ---------------------------------------- |
@@ -198,17 +207,14 @@ A number of 3rd party libraries and frameworks have been proposed which solve di
Most of the above solutions are not within the scope of this design proposal, but should be capable of ingesting the outputs (logging and metrics) defined by this design.
-TECHNICAL DESIGN
----
+## Technical design
In general, the requirements outlined in this design are cross-cutting concerns which affect the Corda codebase holistically, both for logging and capture/export of JMX metrics.
-## Interfaces
+### Interfaces
* Public APIs impacted
* No Public API's are impacted.
-
-
* Internal APIs impacted
* No identified internal API's are impacted.
* Services impacted:
@@ -228,7 +234,7 @@ In general, the requirements outlined in this design are cross-cutting concerns
* Modules impacted
* All modules packaged and shipped as part of a Corda distribution (as published to Artifactory / Maven): *core, node, node-api, node-driver, finance, confidential-identities, test-common, test-utils, verifier, webserver, jackson, jfx, mock, rpc*
-## Functional
+### Functional
#### Health Checker
@@ -393,10 +399,7 @@ See Appendix C for summary of current Logging and Progress Tracker Reporting cov
[VisualVM](http://visualvm.github.io/) is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.
-APPENDICES
----
-
-### Appendix A - Corda exposed JMX Metrics
+## Appendix A - Corda exposed JMX Metrics
The following metrics are exposed directly by a Corda Node at run-time:
@@ -418,7 +421,7 @@ The following metrics are exposed directly by a Corda Node at run-time:
Additionally, JMX metrics are also generated within the Corda *node-driver* performance testing utilities. Specifically, the `startPublishingFixedRateInjector` defines and exposes `QueueSize` and `WorkDuration` metrics.
-### Appendix B - Corda Logging and Reporting coverage
+## Appendix B - Corda Logging and Reporting coverage
Primary node services exposed publically via ServiceHub (SH) or internally by ServiceHubInternal (SHI):
@@ -501,7 +504,7 @@ Confidential identities flows:
| IdentitySyncFlow.Send | none | IllegalArgumentException via `require` assertions, IllegalStateException | SYNCING_IDENTITIES |
| IdentitySyncFlow.Receive | none | CertificateExpiredException, CertificateNotYetValidException, InvalidAlgorithmParameterException | RECEIVING_IDENTITIES, RECEIVING_CERTIFICATES |
-#####Appendix C - Apache Artemis JMX Event types and Queuing Metrics.
+## Appendix C - Apache Artemis JMX Event types and Queuing Metrics.
The following table contains a list of Notification Types and associated perceived importance to a Corda node at run-time:
diff --git a/docs/source/index.rst b/docs/source/index.rst
index ff33120206..f2e7749a69 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -62,6 +62,7 @@ We look forward to seeing what you can do with Corda!
design/float/design.md
design/hadr/design.md
design/kafka-notary/design.md
+ design/monitoring-management/design.md
.. toctree::
:caption: Participate
From 7da0bcd741514afc4ebc7c85f1067a3e98ce84b2 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 17:32:14 +0200
Subject: [PATCH 15/25] Docs: simplify design review process doc and link into
toctree.
---
docs/source/design/README.md | 2 +-
docs/source/design/design-review-process.md | 105 ++------
docs/source/design/designTemplate/design.md | 241 ------------------
.../decisions/decision.md | 0
docs/source/design/template/design.md | 76 ++++++
5 files changed, 94 insertions(+), 330 deletions(-)
delete mode 100644 docs/source/design/designTemplate/design.md
rename docs/source/design/{designTemplate => template}/decisions/decision.md (100%)
create mode 100644 docs/source/design/template/design.md
diff --git a/docs/source/design/README.md b/docs/source/design/README.md
index 64e212f3f7..f664a1a3ca 100644
--- a/docs/source/design/README.md
+++ b/docs/source/design/README.md
@@ -21,7 +21,7 @@ Please see the [design review process](design-review-process.md).
## Design Template
-Please copy this [directory](./designTemplate) to a new location under `/docs/source/design` (use a meaningful short descriptive directory name) and use the [Design Template](./designTemplate/design.md) contained within to guide writing your Design Proposal. Whilst the section headings may be treated as placeholders for guidance, you are expected to be able to answer any questions related to pertinent section headings (where relevant to your design) at the design review stage. Use the [Design Decision Template](./designTemplate/decisions/decision.md) (as many times as needed) to record the pros and cons, and justification of any design decision recommendations where multiple options are available. These should be directly referenced from the *Design Decisions* section of the main design document.
+Please copy this [directory](template) to a new location under `/docs/source/design` (use a meaningful short descriptive directory name) and use the [Design Template](template/design.md) contained within to guide writing your Design Proposal. Whilst the section headings may be treated as placeholders for guidance, you are expected to be able to answer any questions related to pertinent section headings (where relevant to your design) at the design review stage. Use the [Design Decision Template](template/decisions/decision.md) (as many times as needed) to record the pros and cons, and justification of any design decision recommendations where multiple options are available. These should be directly referenced from the *Design Decisions* section of the main design document.
The design document may be completed in one or two iterations, by completing the following main two sections individually or singularly:
diff --git a/docs/source/design/design-review-process.md b/docs/source/design/design-review-process.md
index c5c658d6b4..8387eec086 100644
--- a/docs/source/design/design-review-process.md
+++ b/docs/source/design/design-review-process.md
@@ -1,62 +1,24 @@
# Design review process
-The Corda Design Review process defines a means of editing, storing, collaborating, reviewing and approving Corda documentation in a consistent, structured, easily accessible and open manner.
+The Corda design review process defines a means of collaborating approving Corda design thinking in a consistent,
+structured, easily accessible and open manner.
-## Background
-
-Historically, Corda design documentation has been produced in an ad hoc fashion to include:
-* Multiple sources and formats of storage
- * Internal ([Tech/Arch technical discussion](https://r3-cev.atlassian.net/wiki/spaces/AR/pages/2588746/Internal+Technical+Discussion)) and External ([AWG design documents](https://r3-cev.atlassian.net/wiki/spaces/AWG/pages/56623418/Design+Documents)) facing wiki(s)
- * [Public github wiki](https://github.com/corda/corda/wiki)
- * [Discourse posts](https://discourse.corda.net/c/corda-discussion)
-* Multiple authored versions of same design with differing coverage
- * Elaboration and/or additions to scope
- * Differing opinions, proposals, suggestions.
-* Unstructured prose (no consistency in format and structure)
-* Lack of versioning (wiki documents typically evolve without versioned references)
-* Lack of traceability (audit) to original requirement(s)
-* Undefined review and approval process, leading to misunderstandings and open interpretations at time of implementation by platform development team
-* Lack of proposed implementation plan (time, resources, effort).
-* Often missing stakeholder collaboration and review in the feedback cycle.
-
-## Process
-
-This process specifies:
-
-1. Usage of a design template to include:
- * Versioning: design documents can be referenced at a point in time, and evolve from such.
- * Review and approval history: incorporating relevant stakeholders from R3 (Platform, Product Management, Services) and
- other relevant review groups (community, partners, customers, key collaborators) as deemed appropriate to the request. Ensure design
- meets the requirements and is realizable within a proposed implementation timeframe.
- * Consistent structure and headings: top level headings should be preserved, second level headings provide guidance on
- content to include, and may be omitted where not relevant.
- * The design template includes both High Level (conceptual, logical) and Technical (implementation specific) sections.
- * Design decisions are clearly identified with pros/cons of proposed options, and agreed recommendation.
-
-2. Document review and approval by relevant stakeholders and impacted parties to include R3 organisational units, such as Platform Engineering, Product Management and Services (where relevant), and key stakeholders, to include customers, partners, key collaborators, and community leaders.
- * Product owner (originator of requirements)
- * Design Approval Board (DAB)
- * Platform Development technical lead (and/or nominated developer(s))
- * Project Technical Lead / Solution Architect (if originating from an R3 Technical Services project)
- * Other identified stakeholders (community leaders, partners, customers, key collaborators)
-
-3. Planning: allocation to Corda (open source) or Enterprise project JIRA epic(s) (and/or set of stories) and prioritisation within Product Backlog for future implementation within a Development Team Sprint.
-
-4. Document repository locations, according to whether the design is related to Open Source or Enterprise (internal only).
- The recommended repository source is GitHub, and documents should be stored in [Markdown](https://en.wikipedia.org/wiki/Markdown).
- The collaboration and review process should follow the standard [GitHub Pull Request](https://confluence.atlassian.com/bitbucket/work-with-pull-requests-223220593.html) mechanism.
- * [Enterprise Github repository](https://github.com/corda/enterprise)
- * [Open Source Github repository](https://github.com/corda/corda)
+The process has several steps:
+1. High level discussion with the community and developers on corda-dev.
+2. Writing a design doc and submitting it for review via a PR to this directory. See other design docs and the
+ design doc template (below).
+3. Respond to feedback on the github discussion.
+4. You may be invited to a design review board meeting. This is a video conference in which design may be debated in
+ real time. Notes will be sent afterwards to corda-dev.
+5. When the design is settled it will be approved and can be merged as normal.
+
The following diagram illustrates the process flow:
-## Review Groups
-
-Design documents should include all relevant stakeholders in their distribution (mostly as PR reviewers in github). This will often vary and depend on the origin of the Feature Request, particularly for high level business requirements. Technical Design Documents will tend to include a small set of stakeholders (Design Approval Board, Platform Development, DevOps). Final approval authority lays with at least one member of the Design Approval Board (DAB) or nominated delegate(s).
-
-Design Approval Board (DAB)
+At least some of the following people will take part in a DRB meeting:
+
* Richard G Brown (CTO)
* James Carlyle (Chief Engineer)
* Mike Hearn (Lead Platform Engineer)
@@ -64,43 +26,10 @@ Design Approval Board (DAB)
* Jonathan Sartin (Information Security manager)
* Select external key contributors (directly involved in design process)
-Other review groups inlcude:
+The Corda Technical Advisory Committee may also be asked to review a design.
-* Product Management
+Here's the outline of the design doc template:
-* Developer Relations
+.. toctree::
-* Platform Development Team Leads
-
- (may nominate team members as design leads)
-
-* DevOps
-
-* Services – Project (Incubation & Acceleration)
-
- * Nominated project leads
-
- Services – Technical (Consulting)
- * Nominated solution architects
-
-* External
-
- * AWG (general)
- * Consortium members
- * ISV, SI, Partners
- * Customers
- * Key collaborators
-
-## Applicability and Timing
-
-This process should be applied to any major feature request gathered by the product management team or lead technologists that has been entered in the product backlog as a requirement, and has been prioritized for imminent execution.
-
-Publication and distribution of a design document from initial review to full approval will vary on a case by case basis.
-
-In general,
- * High Level designs may require a longer approval cycle as they may need to host a formal review meeting with the DAB in attendance,
- and will typically have larger stakeholder audiences (potentially including external reviewers), thus leading to multiple iterations of revision.
- In either case the High Level design must be raised as a GitHub PR and obtain formal approval by reviewers.
- * Technical designs are anticipated to go through a shorter cycle, with immediate feedback via the GitHub PR workflow.
- Once approved, a Technical Design should be decomposed into a set of implementable Epic/Stories for prioritization and
- scheduling as part of Development team(s) delivery cycle(s).
+ template/design.md
\ No newline at end of file
diff --git a/docs/source/design/designTemplate/design.md b/docs/source/design/designTemplate/design.md
deleted file mode 100644
index 8edba01a58..0000000000
--- a/docs/source/design/designTemplate/design.md
+++ /dev/null
@@ -1,241 +0,0 @@
-
-
-# Design Template
-
-Please read the [Design Review Process](../design-review-process.md) before completing a design.
-
-This design template should be used for capturing new Corda feature requests that have been raised as JIRA requirements stories by the product management team. The design may be completed in two stages depending on the complexity and scope of the new feature.
-
-1. High-level: conceptual designs based on business requirements and/or technical vision. Without detailing implementation, this level of design should position the overall solution within the Corda architecture from a logical perspective (independent from code implementation). It should illustrate and walk through the use case scenarios intended to be satisfied by this new feature request. The design should consider non-functional aspects of the system such as performance, scalability, high availability, security, and operational aspects such as management and monitoring.
-
-This section of the document should go through a formal review process (eg. presentation of design at meeting and subsequent PR review workflow)
-
-2. Technical: implementable designs with reference to Corda code. This level of design should focus on API specifications, service definitions, public library additions, data models and schemas, code modularity, configuration, execution and deployment of the new feature. It should also list any new software libraries, frameworks or development approaches to be adopted. The technical design should also consider all aspects of the test lifecycle (unit, integration, smoke tests, performance).
-
-This section of the document should be raised as a PR for development team review.
-
-An outcome of the Design Document should be an implementation plan that defines JIRA stories and tasks to be completed to produce shippable, demonstrable, executable code.
-
-Please complete and/or remove section headings as appropriate to the design being proposed. These are provided as guidance and to structure the design in a consistent and coherent manner.
-
-DOCUMENT MANAGEMENT
----
-
-Design documents should follow the standard GitHub version management and pull request (PR) review workflow mechanism.
-
-## Document Control
-
-| Title | |
-| -------------------- | ---------------------------------------- |
-| Date | |
-| Author | |
-| Distribution | (see review groups in design review process) |
-| Corda target version | (enterprise, open source and enterprise) |
-| JIRA reference | (reference to primary Feature Request JIRA story outlining requirements) |
-
-## Approvals
-
-#### Document Sign-off
-
-| Author | |
-| ----------------- | ---------------------------------------- |
-| Reviewer(s) | (GitHub PR reviewers) |
-| Final approver(s) | (GitHub PR approver(s) from Design Approval Board) |
-
-#### Design Decisions
-
-| Description | Recommendation | Approval |
-| ---------------------------------------- | --------------- | ----------------------- |
-| [Design Decision 1](decisions/decision.md) | Selected option | (Design Approval Board) |
-| [Design Decision 2](decisions/decision.md) | Selected option | (Design Approval Board) |
-| [Design Decision 3](decisions/decision.md) | Selected option | (Design Approval Board) |
-
-
-## Document History
-
-To be managed by GitHub revision control
-(please use meaningful identifiers when committing a PR approved design to GitHub - eg. my super design V1.0)
-
-HIGH LEVEL DESIGN
----
-
-## Overview
-
-General overall of design proposal (goal, objectives, simple outline)
-
-## Background
-
-Description of existing solution (if any) and/or rationale for requirement.
-
-* Reference(s) to discussions held elsewhere (slack, wiki, etc).
-* Definitions, acronyms and abbreviations
-
-## Scope
-
-* Goals
-* Non-goals (eg. out of scope)
-* Reference(s) to similar or related work
-
-## Timeline
-
-* Is this a short, medium or long-term solution?
-* Outline timeline expectations
-
- Eg1. required for Customer Project X by end of Qy'2049)
-
- Eg2. required to release Enterprise Vx.y (reference roadmap)
-
-* Where short-term design, is this evolvable / extensible or stop-gap (eg. potentially throwaway)?
-
-## Requirements
-
-* Reference(s) to any of following:
-
- * Captured Product Backlog JIRA entry
-
- * Internal White Paper feature item and/or visionary feature
-
- * Project related requirement (POC, RFP, Pilot, Prototype) from
-
- * Internal Incubator / Accelerator project
-
- * Direct from Customer, ISV, SI, Partner
-* Use Cases
-* Assumptions
-
-## Design Decisions
-
-List of design decisions identified in defining the target solution:
-(for each item, please complete the attached [Design Decision template](decisions/decision.md))
-
-| Heading (link to completed Decision document using template) | Recommendation |
-| ---------------------------------------- | -------------- |
-| [Design Decision 1](decisions/decision.md) | Option A |
-| [Design Decision 2](decisions/decision.md) | TBD* |
-| [Design Decision 3](decisions/decision.md) | Option B |
-
-It is reasonable to expect decisions to be challenged prior to any formal review and approval.
-In certain scenarios the Design Decision itself may solicit a recommendation from reviewers.
-
-## Target Solution
-
-* Illustrate any business process with diagrams
-
- * Business Process Flow (or formal BPMN 2.0), swimlane activity
-
- * UML: activity, state, sequence
-
-* Illustrate operational solutions with deployment diagrams
-
- * Network
-
-* Validation matrix (against requirements)
-
- * Role, requirement, how design satisfies requirement
-
-* Sample walk through (against Use Cases)
-
-* Implications
-
- * Technical
- * Operational
- * Security
-
-* Adherence to existing industry standards or approaches
-* List any standards to be followed / adopted
-* Outstanding issues
-
-## Complementary solutions
-
-Other solutions that provide similar functionality and/or overlap with the proposed.
-Where overlap with existing solution(s), describe how this design fits in and complements the current state.
-
-## Final recommendation
-
-* Proposed solution (if more than one option presented)
-* Proceed direct to implementation
-* Proceed to Technical Design stage
-* Proposed Platform Technical team(s) to implement design (if not already decided)
-
-TECHNICAL DESIGN
----
-
-## Interfaces
-
-* Public APIs impact
-* Internal APIs impacted
-* Modules impacted
-
- * Illustrate with Software Component diagrams
-
-## Functional
-
-* UI requirements
-
- * Illustrate with UI Mockups and/or Wireframes
-
-* (Subsystem) Components descriptions and interactions)
-
- Consider and list existing impacted components and services within Corda:
-
- * Doorman
- * Network Map
- * Public API's (ServiceHub, RPCOps)
- * Vault
- * Notaries
- * Identity services
- * Flow framework
- * Attachments
- * Core data structures, libraries or utilities
- * Testing frameworks
- * Pluggable infrastructure: DBs, Message Brokers, LDAP
-
-* Data model & serialization impact and changes required
-
- * Illustrate with ERD diagrams
-
-* Infrastructure services: persistence (schemas), messaging
-
-## Non-Functional
-
-* Performance
-* Scalability
-* High Availability
-
-## Operational
-
-* Deployment
-
- * Versioning
-
-* Maintenance
-
- * Upgradability, migration
-
-* Management
-
- * Audit, alerting, monitoring, backup/recovery, archiving
-
-## Security
-
-* Data privacy
-* Authentication
-* Access control
-
-## Software Development Tools and Programming Standards to be adopted.
-
-* languages
-* frameworks
-* 3rd party libraries
-* architectural / design patterns
-* supporting tools
-
-## Testability
-
-* Unit
-* Integration
-* Smoke
-* Non-functional (performance)
-
-APPENDICES
----
diff --git a/docs/source/design/designTemplate/decisions/decision.md b/docs/source/design/template/decisions/decision.md
similarity index 100%
rename from docs/source/design/designTemplate/decisions/decision.md
rename to docs/source/design/template/decisions/decision.md
diff --git a/docs/source/design/template/design.md b/docs/source/design/template/design.md
new file mode 100644
index 0000000000..ddadcb1953
--- /dev/null
+++ b/docs/source/design/template/design.md
@@ -0,0 +1,76 @@
+# Design doc template
+
+## Overview
+
+Please read the [Design Review Process](../design-review-process.md) before completing a design.
+
+Each section of the document should be at the second level (two hashes at the start of a line).
+
+This section should describe the desired change or feature, along with background on why it's needed and what problem
+it solves.
+
+An outcome of the design document should be an implementation plan that defines JIRA stories and tasks to be completed
+to produce shippable, demonstrable, executable code.
+
+Please complete and/or remove section headings as appropriate to the design being proposed. These are provided as
+guidance and to structure the design in a consistent and coherent manner.
+
+## Background
+
+Description of existing solution (if any) and/or rationale for requirement.
+
+* Reference(s) to discussions held elsewhere (slack, wiki, etc).
+* Definitions, acronyms and abbreviations
+
+## Goals
+
+What's in scope to be solved.
+
+## Non-goals
+
+What won't be tackled as part of this design, either because it's not needed/wanted, or because it will be tackled later
+as part of a separate design effort. Figuring out what you will *not* do is frequently a useful exercise.
+
+## Timeline
+
+* Is this a short, medium or long-term solution?
+* Where short-term design, is this evolvable / extensible or stop-gap (eg. potentially throwaway)?
+
+## Requirements
+
+* Reference(s) to any of following:
+ * Captured Product Backlog JIRA entry
+ * Internal White Paper feature item and/or visionary feature
+ * Project related requirement (POC, RFP, Pilot, Prototype) from
+ * Internal Incubator / Accelerator project
+ * Direct from Customer, ISV, SI, Partner
+* Use Cases
+* Assumptions
+
+## Design Decisions
+
+List of design decisions identified in defining the target solution.
+
+For each item, please complete the attached [Design Decision template](decisions/decision.html)
+
+Use the ``.. toctree::`` feature to list out the design decision docs here (see the source of this file for an example).
+
+.. toctree::
+ :maxdepth: 2
+
+ decisions/decision.md
+
+## Design
+
+Think about:
+
+* Public API, backwards compatibility impact.
+* UI requirements, if any. Illustrate with UI Mockups and/or wireframes.
+* Data model & serialization impact and changes required.
+* Infrastructure services: persistence (schemas), messaging.
+* Impact on performance, scalability, high availability
+* Versioning, upgradability, migration=
+* Management: audit, alerting, monitoring, backup/recovery, archiving
+* Data privacy, authentication, access control
+* Logging
+* Testability
From 8cac69d2522ae37b2bb976347b5aad853c04795a Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 17:32:19 +0200
Subject: [PATCH 16/25] Docs: re-organise the toctree a bit more and introduce
a design section
It includes (for now) just the design template.
---
docs/source/aws-vm.rst | 6 +++---
docs/source/azure-vm.rst | 4 ++--
docs/source/corda-networks-index.rst | 4 ++--
docs/source/corda-nodes-index.rst | 4 ++--
docs/source/design/README.md | 2 +-
...nReviewProcess.md => design-review-process.md} | 12 ++++++------
docs/source/design/designTemplate/design.md | 2 +-
docs/source/index.rst | 15 +++++++++++++--
docs/source/other-index.rst | 9 ---------
docs/source/tools-index.rst | 3 ---
10 files changed, 30 insertions(+), 31 deletions(-)
rename docs/source/design/{designReviewProcess.md => design-review-process.md} (98%)
delete mode 100644 docs/source/other-index.rst
diff --git a/docs/source/aws-vm.rst b/docs/source/aws-vm.rst
index b0f518480e..571620463c 100644
--- a/docs/source/aws-vm.rst
+++ b/docs/source/aws-vm.rst
@@ -1,5 +1,5 @@
-Building a Corda VM from the AWS Marketplace
-============================================
+AWS Marketplace
+===============
To help you design, build and test applications on Corda, called CorDapps, a Corda network AMI can be deployed from the `AWS Marketplace <https://aws.amazon.com/marketplace/pp/B077PG9SP5>`__. Instructions on running Corda nodes can be found `here <https://docs.corda.net/deploying-a-node.html>`_.
@@ -12,7 +12,7 @@ Pre-requisites
Deploying a Corda Network
----------------------------
+-------------------------
Browse to the `AWS Marketplace <https://aws.amazon.com/marketplace>`__ and search for Corda.
diff --git a/docs/source/azure-vm.rst b/docs/source/azure-vm.rst
index e346c24c2b..8661422006 100644
--- a/docs/source/azure-vm.rst
+++ b/docs/source/azure-vm.rst
@@ -1,5 +1,5 @@
-Building a Corda Network on Azure Marketplace
-=============================================
+Azure Marketplace
+=================
To help you design, build and test applications on Corda, called CorDapps, a Corda network can be deployed on the `Microsoft Azure Marketplace <https://azure.microsoft.com/en-gb/overview/what-is-azure>`_
diff --git a/docs/source/corda-networks-index.rst b/docs/source/corda-networks-index.rst
index 270726948e..cc3e81321e 100644
--- a/docs/source/corda-networks-index.rst
+++ b/docs/source/corda-networks-index.rst
@@ -1,5 +1,5 @@
-Corda networks
-==============
+Networks
+========
.. toctree::
:maxdepth: 1
diff --git a/docs/source/corda-nodes-index.rst b/docs/source/corda-nodes-index.rst
index 6bf9c361b9..da92cdf876 100644
--- a/docs/source/corda-nodes-index.rst
+++ b/docs/source/corda-nodes-index.rst
@@ -1,5 +1,5 @@
-Corda nodes
-===========
+Nodes
+=====
.. toctree::
:maxdepth: 1
diff --git a/docs/source/design/README.md b/docs/source/design/README.md
index 94161e68bc..64e212f3f7 100644
--- a/docs/source/design/README.md
+++ b/docs/source/design/README.md
@@ -10,7 +10,7 @@ These should be written in [Markdown](https://github.com/adam-p/markdown-here/wi
## Design Review Process
-Please see the [design review process](./designReviewProcess.md).
+Please see the [design review process](design-review-process.md).
* Feature request submission
* High level design
diff --git a/docs/source/design/designReviewProcess.md b/docs/source/design/design-review-process.md
similarity index 98%
rename from docs/source/design/designReviewProcess.md
rename to docs/source/design/design-review-process.md
index 57cc17b5b3..c5c658d6b4 100644
--- a/docs/source/design/designReviewProcess.md
+++ b/docs/source/design/design-review-process.md
@@ -1,9 +1,8 @@
-
-# Overview
+# Design review process
The Corda Design Review process defines a means of editing, storing, collaborating, reviewing and approving Corda documentation in a consistent, structured, easily accessible and open manner.
-# Background
+## Background
Historically, Corda design documentation has been produced in an ad hoc fashion to include:
* Multiple sources and formats of storage
@@ -20,7 +19,7 @@ Historically, Corda design documentation has been produced in an ad hoc fashion
* Lack of proposed implementation plan (time, resources, effort).
* Often missing stakeholder collaboration and review in the feedback cycle.
-# Process
+## Process
This process specifies:
@@ -53,7 +52,8 @@ The following diagram illustrates the process flow:
-# Review Groups
+## Review Groups
+
Design documents should include all relevant stakeholders in their distribution (mostly as PR reviewers in github). This will often vary and depend on the origin of the Feature Request, particularly for high level business requirements. Technical Design Documents will tend to include a small set of stakeholders (Design Approval Board, Platform Development, DevOps). Final approval authority lays with at least one member of the Design Approval Board (DAB) or nominated delegate(s).
Design Approval Board (DAB)
@@ -91,7 +91,7 @@ Other review groups inlcude:
* Customers
* Key collaborators
-# Applicability and Timing
+## Applicability and Timing
This process should be applied to any major feature request gathered by the product management team or lead technologists that has been entered in the product backlog as a requirement, and has been prioritized for imminent execution.
diff --git a/docs/source/design/designTemplate/design.md b/docs/source/design/designTemplate/design.md
index 37c8ed3660..601e2f7074 100644
--- a/docs/source/design/designTemplate/design.md
+++ b/docs/source/design/designTemplate/design.md
@@ -2,7 +2,7 @@
# Design Template
-Please read the [Design Review Process](../designReviewProcess.md) before completing a design.
+Please read the [Design Review Process](../design-review-process.md) before completing a design.
This design template should be used for capturing new Corda feature requests that have been raised as JIRA requirements stories by the product management team. The design may be completed in two stages depending on the complexity and scope of the new feature.
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 05499f86f9..44694f4e09 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -30,7 +30,7 @@ We look forward to seeing what you can do with Corda!
.. _`download the PDF`: _static/corda-developer-site.pdf
.. toctree::
- :caption: App development
+ :caption: Development
:maxdepth: 1
quickstart-index.rst
@@ -48,10 +48,21 @@ We look forward to seeing what you can do with Corda!
corda-nodes-index.rst
corda-networks-index.rst
+ azure-vm.rst
+ aws-vm.rst
+ loadtesting.rst
+
+.. toctree::
+ :caption: Design docs
+ :maxdepth: 2
+
+ design/design-review-process.md
.. toctree::
:caption: Participate
:maxdepth: 2
release-process-index.rst
- other-index.rst
+ corda-repo-layout.rst
+ building-the-docs.rst
+ json.rst
diff --git a/docs/source/other-index.rst b/docs/source/other-index.rst
deleted file mode 100644
index f6d60548e7..0000000000
--- a/docs/source/other-index.rst
+++ /dev/null
@@ -1,9 +0,0 @@
-Other
-=====
-
-.. toctree::
- :maxdepth: 1
-
- corda-repo-layout
- building-the-docs
- json
diff --git a/docs/source/tools-index.rst b/docs/source/tools-index.rst
index 3955a0cbe1..55b398dd35 100644
--- a/docs/source/tools-index.rst
+++ b/docs/source/tools-index.rst
@@ -7,6 +7,3 @@ Tools
network-simulator
demobench
node-explorer
- azure-vm
- aws-vm
- loadtesting
\ No newline at end of file
From 3baf27bbc71a77d8f3190eaeff812f7ff522002c Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 17:36:38 +0200
Subject: [PATCH 17/25] Docs: bring certificate hierarchy design doc across
into the open repo.
---
.../decisions/levels.md | 47 ++++++++++
.../decisions/tls-trust-root.md | 44 +++++++++
.../ent-1133_certificate_hierarchy/design.md | 86 ++++++++++++++++++
.../images/cert_structure_v2.png | Bin 0 -> 145478 bytes
.../images/current.png | Bin 0 -> 179070 bytes
.../images/option1.png | Bin 0 -> 316764 bytes
.../images/option2.png | Bin 0 -> 357170 bytes
.../images/option3.png | Bin 0 -> 361247 bytes
docs/source/index.rst | 1 +
9 files changed, 178 insertions(+)
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/design.md
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/images/cert_structure_v2.png
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/images/current.png
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/images/option1.png
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/images/option2.png
create mode 100644 docs/source/design/ent-1133_certificate_hierarchy/images/option3.png
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md b/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
new file mode 100644
index 0000000000..054a11c28b
--- /dev/null
+++ b/docs/source/design/ent-1133_certificate_hierarchy/decisions/levels.md
@@ -0,0 +1,47 @@
+
+
+--------------------------------------------
+Design Decision: Certificate hierarchy levels
+============================================
+
+## Background / Context
+
+The decision of how many levels to include is a key feature of the [proposed certificate hierarchy](../design.md).
+
+## Options Analysis
+
+### Option 1: 2-level hierarchy
+
+Under this option, intermediate CA certificates for key signing services (Doorman, Network Map, CRL) are generated as direct children of the root certificate.
+
+
+
+#### Advantages
+
+- Simplest option
+- Minimal change to existing structure
+
+#### Disadvantages
+
+- The Root CA certificate is used to sign both intermediate certificates and CRL. This may be considered as a drawback as the Root CA should be used only to issue other certificates.
+
+### Option 2: 3-level hierarchy
+
+Under this option, an additional 'Company CA' cert is generated from the root CA cert, which is then used to generate intermediate certificates.
+
+
+
+#### Advantages
+
+- Allows for option to remove the root CA from the network altogether and store in an offline medium - may be preferred by some stakeholders
+- Allows (theoretical) revocation and replacement of the company CA cert without needing to replace the trust root.
+
+#### Disadvantages
+
+- Greater complexity
+
+## Recommendation and justification
+
+Proceed with option 1: 2-level hierarchy.
+
+No authoritative argument from a security standpoint has been made which would justify the added complexity of option 2. Given the business impact of revoking the Company CA certificate, this must be considered an extremely unlikely event with comparable implications to the revocation of the root certificate itself; hence no practical justification for the addition of the third level is observed.
\ No newline at end of file
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md b/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
new file mode 100644
index 0000000000..cb6aac2b86
--- /dev/null
+++ b/docs/source/design/ent-1133_certificate_hierarchy/decisions/tls-trust-root.md
@@ -0,0 +1,44 @@
+
+
+--------------------------------------------
+Design Decision: Certificate Hierarchy
+============================================
+
+## Background / Context
+
+This document purpose is to make a decision on the certificate hierarchy. It is necessary to make this decision as it affects development of features (e.g. Certificate Revocation List).
+
+## Options Analysis
+
+There are various options in how we structure the hierarchy above the node CA.
+
+### Option 1: Single trust root
+
+Under this option, TLS certificates are issued by the node CA certificate.
+
+#### Advantages
+
+- Existing design
+
+#### Disadvantages
+
+- The Root CA certificate is used to sign both intermediate certificates and CRL. This may be considered as a drawback as the Root CA should be used only to issue other certificates.
+
+### Option 2: Separate TLS vs. identity trust roots
+
+This option splits the hierarchy by introducing a separate trust root for TLS certificates.
+
+#### Advantages
+
+- Simplifies issuance of TLS certificates (implementation constraints beyond those of other certificates used by Corda - specifically, EdDSA keys are not yet widely supported for TLS certificates)
+- Avoids requirement to specify accurate usage restrictions on node CA certificates to issue their own TLS certificates
+
+#### Disadvantages
+
+- Additional complexity
+
+## Recommendation and justification
+
+Proceed with option 1 (Single Trust Root) for current purposes.
+
+Feasibility of option 2 in the code should be further explored in due course.
\ No newline at end of file
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/design.md b/docs/source/design/ent-1133_certificate_hierarchy/design.md
new file mode 100644
index 0000000000..0708cd63c3
--- /dev/null
+++ b/docs/source/design/ent-1133_certificate_hierarchy/design.md
@@ -0,0 +1,86 @@
+
+
+# Design
+
+## Document Control
+
+| Title | Certificate hierarchy |
+| -------------------- | ---------------------------------------- |
+| Date | 23/11/2017 |
+| Author | Michal Kit |
+| Distribution | Shams Asari, Patrick Kuo, Jonathan Sartin, David Lee, Matthew Nesbit, Konstantinos Chalkias |
+| Corda target version | Enterprise |
+| JIRA reference | [ENT-1133](https://r3-cev.atlassian.net/browse/ENT-1133) |
+
+## Approvals
+
+#### Document Sign-off
+
+| Author | |
+| ----------------- | ---------------------------------------- |
+| Reviewer(s) | Shams Asari, Patrick Kuo, Jonathan Sartin, David Lee |
+| Final approver(s) | Mike Hearn |
+
+HIGH LEVEL DESIGN
+---
+
+## Overview
+
+A certificate hierarchy is proposed to enable effective key management in the context of managing Corda networks, primarily Corda Connect. This includes certificate usage for the data signing process and certificate revocation process in case of a security leak. At the same time, result should remain compliant with standards: [OCSP](https://en.wikipedia.org/wiki/Online_Certificate_Status_Protocol), [RFC 5280](https://www.ietf.org/rfc/rfc5280.txt)
+
+## Background
+
+Corda utilises public key (asymmetric) cryptography for signing and authentication purposes, and securing communication via TLS. As a result, every entity participating in a Corda network owns one or more cryptographic key pairs {*private, public*}. Integrity and authenticity of an entity's public key is assured using digital certificates following the [X.509 standard](https://tools.ietf.org/html/rfc5280), whereby the receiver’s identity is cryptographically bonded to his or her public key.
+
+Certificate Revocation List (CRL) functionality interacts with the hierarchy of the certificates, as the revocation list for any given certificate must be signed by the certificate's issuer. Therefore if we have a single doorman CA, the sole CRL for node CA certificates would be maintained by that doorman CA, creating a bottleneck. Further, if that doorman CA is compromised and its certificate revoked by the root certificate, the entire network is invalidated as a consequence.
+
+The current solution of a single intermediate CA is therefore too simplistic.
+
+Further, the split and location of intermediate CAs has impact on where long term infrastructure is hosted, as the CRLs for certificates issued by these CAs must be hosted at the same URI for the lifecycle of the issued certificates.
+
+## Scope
+
+Goals:
+
+* Define effective certificate relationships between participants and Corda network services (i.e. nodes, notaries, network map, doorman).
+* Enable compliance with both [OCSP](https://en.wikipedia.org/wiki/Online_Certificate_Status_Protocol) and [RFC 5280](https://www.ietf.org/rfc/rfc5280.txt) (CRL)-based revocation mechanisms
+* Mitigate relevant security risks (keys being compromised, data privacy loss etc.)
+
+Non-goals:
+
+- Define an end-state mechanism for certificate revocation
+
+## Requirements
+
+In case of a private key being compromised, or a certificate incorrectly issued, it must be possible for the issuer to revoke the appropriate certificate(s).
+
+The solution needs to scale, keeping in mind that the list of revoked certificates from any given certificate authority is likely to grow indefinitely. However for an initial deployment a temporary certificate authority may be used, and given that it will not require to issue certificates in the long term, scaling issues are less of a concern in this context.
+
+
+## Design Decisions
+
+| Heading (link to completed Decision document using template) | Recommendation |
+| ---------------------------------------- | ---------------------------- |
+| [Hierarchy levels](./decisions/levels.md) | Option 1 - 2-level hierarchy |
+| [TLS trust root](./decisions/tls-trust-root.md) | Option 1 - Single trust root |
+
+## **Target** Solution
+
+
+
+The design introduces discrete intermediate CAs below the network trust root for each logical service exposed by the doorman - specifically:
+
+1. Node CA certificate issuance
+2. Network map signing
+3. Certificate Revocation List (CRL) signing
+4. OCSP revocation signing
+
+The use of discrete certificates in this way facilitates subsequent changes to the model, including retiring and replacing certificates as needed.
+
+Each of the above certificates will specify a CRL allowing the certificate to be revoked. The root CA operator (primarily R3) will be required to maintain this CRL for the lifetime of the process.
+
+TLS certificates will remain issued under Node CA certificates (see [decision: TLS trust root](./decisions/tls-trust-root.md)).
+
+Nodes will be able to specify CRL(s) for TLS certificates they issue; in general, they will be required to such CRLs for the lifecycle of the TLS certificates.
+
+In the initial state, a single Doorman intermediate CA will be used for issuing all node certificates. Further intermediate CAs for issuance of node CA certificates may subsequently be added to the network, where appropriate, potentially split by geographic region or otherwise.
\ No newline at end of file
diff --git a/docs/source/design/ent-1133_certificate_hierarchy/images/cert_structure_v2.png b/docs/source/design/ent-1133_certificate_hierarchy/images/cert_structure_v2.png
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diff --git a/docs/source/index.rst b/docs/source/index.rst
index 44694f4e09..3e3ea2d0ad 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -57,6 +57,7 @@ We look forward to seeing what you can do with Corda!
:maxdepth: 2
design/design-review-process.md
+ design/ent-1133_certificate_hierarchy/design.md
.. toctree::
:caption: Participate
From 7b6284c504313c6d35cfdec30fd0fb16026d8814 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Fri, 11 May 2018 18:40:40 +0200
Subject: [PATCH 18/25] Docs: add design doc "failure detection and master
election"
---
.../HW Design-Atomix.png | Bin 0 -> 86907 bytes
.../HW Design-Zookeeper.png | Bin 0 -> 102764 bytes
.../design.md | 105 ++++++++++++++++++
.../drb-meeting-20180131.md | 87 +++++++++++++++
docs/source/index.rst | 1 +
5 files changed, 193 insertions(+)
create mode 100644 docs/source/design/failure-detection-master-election/HW Design-Atomix.png
create mode 100644 docs/source/design/failure-detection-master-election/HW Design-Zookeeper.png
create mode 100644 docs/source/design/failure-detection-master-election/design.md
create mode 100644 docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
diff --git a/docs/source/design/failure-detection-master-election/HW Design-Atomix.png b/docs/source/design/failure-detection-master-election/HW Design-Atomix.png
new file mode 100644
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diff --git a/docs/source/design/failure-detection-master-election/design.md b/docs/source/design/failure-detection-master-election/design.md
new file mode 100644
index 0000000000..8e8b58409d
--- /dev/null
+++ b/docs/source/design/failure-detection-master-election/design.md
@@ -0,0 +1,105 @@
+
+
+# Failure detection and master election: design proposal
+
+-------------------
+DOCUMENT MANAGEMENT
+===================
+
+## Document Control
+
+* Failure detection and master election: design proposal
+* Date: 23rd January 2018
+* Author: Bogdan Paunescu
+* Distribution: Design Review Board, Product Management, DevOps, Services - Technical (Consulting)
+* Corda target version: Enterprise
+
+## Document History
+
+--------------------------------------------
+HIGH LEVEL DESIGN
+============================================
+
+## Background
+
+Two key issues need to be resolved before Hot-Warm can be implemented:
+
+* Automatic failure detection (currently our Hot-Cold set-up requires a human observer to detect a failed node)
+* Master election and node activation (currently done manually)
+
+This document proposes two solutions to the above mentioned issues. The strengths and drawbacks of each solution are explored.
+
+## Constraints/Requirements
+
+Typical modern HA environments rely on a majority quorum of the cluster to be alive and operating normally in order to service requests. This means:
+
+* A cluster of 1 replica can tolerate 0 failures
+* A cluster of 2 replicas can tolerate 0 failures
+* A cluster of 3 replicas can tolerate 1 failure
+* A cluster of 4 replicas can tolerate 1 failure
+* A cluster of 5 replicas can tolerate 2 failures
+
+This already poses a challenge to us as clients will most likely want to deploy the minimum possible number of R3 Corda nodes. Ideally that minimum would be 3 but a solution for only 2 nodes should be available (even if it provides a lesser degree of HA than 3, 5 or more nodes). The problem with having only two nodes in the cluster is there is no distinction between failure and network partition.
+
+Users should be allowed to set a preference for which node to be active in a hot-warm environment. This would probably be done with the help of a property(persisted in the DB in order to be changed on the fly). This is an important functionality as users might want to have the active node on better hardware and switch to the back-ups and back as soon as possible.
+
+It would also be helpful for the chosen solution to not add deployment complexity.
+
+## Proposed solutions
+
+Based on what is needed for Hot-Warm, 1 active node and at least one passive node (started but in stand-by mode), and the constraints identified above (automatic failover with at least 2 nodes and master preference), two frameworks have been explored: Zookeeper and Atomix. Neither apply to our use cases perfectly and require some tinkering to solve our issues, especially the preferred master election.
+
+### Zookeeper
+
+
+
+Preferred leader election - while the default algorithm does not take into account a leader preference, a custom algorithm can be implemented to suit our needs.
+
+Environment with 2 nodes - while this type of set-up can't distinguish between a node failure and network partition, a workaround can be implemented by having 2 nodes and 3 zookeeper instances(3rd would be needed to form a majority).
+
+Pros:
+- Very well documented
+- Widely used, hence a lot of cookbooks, recipes and solutions to all sorts of problems
+- Supports custom leader election
+
+Cons:
+- Added deployment complexity
+- Bootstrapping a cluster is not very straightforward
+- Too complex for our needs?
+
+### Atomix
+
+
+
+Preferred leader election - cannot be implemented easily; a creative solution would be required.
+
+Environment with 2 nodes - using only embedded replicas, there's no solution; Atomix comes also as a standalone server which could be run outside the node as a 3rd entity to allow a quorum(see image above).
+
+Pros:
+- Easy to get started with
+- Embedded, no added deployment complexity
+- Already used partially (Atomix Catalyst) in the notary cluster
+
+Cons:
+- Not as popular as Zookeeper, less used
+- Documentation is underwhelming; no proper usage examples
+- No easy way of influencing leader election; will require some creative use of Atomix functionality either via distributed groups or other resources
+
+## Recommendations
+
+If Zookeeper is chosen, we would need to look into a solution for easy configuration and deployment (maybe docker images). Custom leader election can be implemented by following one of the [examples](https://github.com/SainTechnologySolutions/allprogrammingtutorials/tree/master/apache-zookeeper/leader-election) available online.
+
+If Atomix is chosen, a solution to enforce some sort of preferred leader needs to found. One way to do it would be to have the Corda cluster leader be a separate entity from the Atomix cluster leader. Implementing the election would then be done using the distributed resources made available by the framework.
+
+## Conclusions
+
+Whichever solution is chosen, using 2 nodes in a Hot-Warm environment is not ideal. A minimum of 3 is required to ensure proper failover.
+
+Almost every configuration option that these frameworks offer should be exposed through node.conf.
+
+We've looked into using Galera which is currently used for the Notary cluster for storing the committed state hashes. It offers multi-master read/write and certification-based replication which is not leader based. It could be used to implement automatic failure detection and master election(similar to our current mutual exclusion).However, we found that it doesn't suit our needs because:
+- it adds to deployment complexity
+- usable only with MySQL and InnoDB storage engine
+- we'd have to implement node failure detection and master election from scratch; in this regard both Atomix and Zookeeper are better suited
+
+Our preference would be Zookeeper despite not being as lightweight and deployment-friendly as Atomix. The wide spread use, proper documentation and flexibility to use it not only for automatic failover and master election but also configuration management(something we might consider moving forward) makes it a better fit for our needs.
diff --git a/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md b/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
new file mode 100644
index 0000000000..47c0e0707c
--- /dev/null
+++ b/docs/source/design/failure-detection-master-election/drb-meeting-20180131.md
@@ -0,0 +1,87 @@
+
+
+--------------------------------------------
+Design Review Board Meeting Minutes
+============================================
+
+**Date / Time:** Jan 31 2018, 11.00
+
+## Attendees
+
+- Matthew Nesbit (MN)
+- Bogdan Paunescu (BP)
+- James Carlyle (JC)
+- Mike Hearn (MH)
+- Wawrzyniec Niewodniczanski (WN)
+- Jonathan Sartin (JS)
+- Gavin Thomas (GT)
+
+
+## **Decision**
+
+Proceed with recommendation to use Zookeeper as the master selection solution
+
+
+## **Primary Requirement of Design**
+
+- Client can run just 2 nodes, master and slave
+- Current deployment model to not change significantly
+- Prioritised mastering or be able to automatically elect a master. Useful to allow clients to do rolling upgrades, or for use when a high spec machine is used for master
+- Nice to have: use for flow sharding and soft locking
+
+## **Minutes**
+
+MN presented a high level summary of the options:
+- Galera:
+ - Negative: does not have leader election and failover capability.
+
+- Atomix IO:
+ - Positive: does integrate into node easily, can setup ports
+ - Negative: requires min 3 nodes, cannot manipulate election e.g. drop the master rolling deployments / upgrades, cannot select the 'beefy' host for master where cost efficiencies have been used for the slave / DR, young library and has limited functionality, poor documentation and examples
+
+- Zookeeper (recommended option): industry standard widely used and trusted. May be able to leverage clients' incumbent Zookeeper infrastructure
+ - Positive: has flexibility for storage and a potential for future proofing; good permissioning capabilities; standalone cluster of Zookeeper servers allows 2 nodes solution rather than 3
+ - Negative: adds deployment complexity due to need for Zookeeper cluster split across datacentres
+Wrapper library choice for Zookeeper requires some analysis
+
+
+MH: predictable source of API for RAFT implementations and Zookeeper compared to Atomix. Be better to have master selector implemented as an abstraction
+
+MH: hybrid approach possible - 3rd node for oversight, i.e. 2 embedded in the node, 3rd is an observer. Zookeeper can have one node in primary data centre, one in secondary data centre and 3rd as tie-breaker
+
+WN: why are we concerned about cost of 3 machines? MN: we're seeing / hearing clients wanting to run many nodes on one VM. Zookeeper is good for this since 1 Zookepper cluster can serve 100+ nodes
+
+MH: terminology clarification required: what holds the master lock? Ideally would be good to see design thinking around split node and which bits need HA. MB: as a long term vision, ideally have 1 database for many IDs and the flows for those IDs are load balanced. Regarding services internally to node being suspended, this is being investigated.
+
+MH: regarding auto failover, in the event a database has its own perception of master and slave, how is this handled? Failure detector will need to grow or have local only schedule to confirm it is processing everything including connectivity between database and bus, i.e. implement a 'healthiness' concept
+
+MH: can you get into a situation where the node fails over but the database does not, but database traffic continues to be sent to down node? MB: database will go offline leading to an all-stop event.
+
+MH: can you have master affinity between node and database? MH: need watchdog / heartbeat solutions to confirm state of all components
+
+JC: how long will this solution live? MB: will work for hot / hot flow sharding, multiple flow workers and soft locks, then this is long term solution. Service abstraction will be used so we are not wedded to Zookeeper however the abstraction work can be done later
+
+JC: does the implementation with Zookeeper have an impact on whether cloud or physical deployments are used? MB: its an internal component, not part of the larger Corda network therefore can be either. For the customer they will have to deploy a separate Zookeeper solution, but this is the same for Atomix.
+
+WN: where Corda as a service is being deployed with many nodes in the cloud. Zookeeper will be better suited to big providers.
+
+WN: concern is the customer expects to get everything on a plate, therefore will need to be educated on how to implement Zookeeper, but this is the same for other master selection solutions.
+
+JC: is it possible to launch R3 Corda with a button on Azure marketplace to commission a Zookeeper? Yes, if we can resource it. But expectation is Zookeeper will be used by well-informed clients / implementers so one-click option is less relevant.
+
+MH: how does failover work with HSMs? MB: can replicate realm so failover is trivial
+
+JC: how do we document Enterprise features? Publish design docs? Enterprise fact sheets? R3 Corda marketing material? Clear seperation of documentation is required. GT: this is already achieved by havind docs.corda.net for open source Corda and docs.corda.r3.com for enterprise R3 Corda
+
+
+### Next Steps
+
+MN proposed the following steps:
+
+1) Determine who has experience in the team to help select wrapper library
+2) Build container with Zookeeper for development
+3) Demo hot / cold with current R3 Corda Dev Preview release (writing a guide)
+4) Turn nodes passive or active
+5) Leader election
+6) Failure detection and tooling
+7) Edge case testing
diff --git a/docs/source/index.rst b/docs/source/index.rst
index 80c79336f6..5df612f050 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -58,6 +58,7 @@ We look forward to seeing what you can do with Corda!
design/design-review-process.md
design/certificate-hierarchies/design.md
+ design/failure-detection-master-election/design.md
.. toctree::
:caption: Participate
From 9cf06dff109bf3c932fa2cd2abdbe3aa81479699 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 15:07:38 +0200
Subject: [PATCH 19/25] Docs: add float design doc, as is.
---
.../source/design/float/current-p2p-state.png | Bin 0 -> 121494 bytes
.../float/decisions/drb-meeting-20171116.md | 155 ++++++++++++++
.../design/float/decisions/e2e-encryption.md | 56 +++++
.../design/float/decisions/p2p-protocol.md | 69 ++++++
.../float/decisions/pluggable-broker.md | 65 ++++++
.../design/float/decisions/ssl-termination.md | 103 +++++++++
docs/source/design/float/design.md | 196 ++++++++++++++++++
docs/source/design/float/full-float.png | Bin 0 -> 166024 bytes
.../design/float/in-process-amqp-bridging.png | Bin 0 -> 64812 bytes
.../out-of-proc-artemis-broker-bridges.png | Bin 0 -> 129278 bytes
10 files changed, 644 insertions(+)
create mode 100644 docs/source/design/float/current-p2p-state.png
create mode 100644 docs/source/design/float/decisions/drb-meeting-20171116.md
create mode 100644 docs/source/design/float/decisions/e2e-encryption.md
create mode 100644 docs/source/design/float/decisions/p2p-protocol.md
create mode 100644 docs/source/design/float/decisions/pluggable-broker.md
create mode 100644 docs/source/design/float/decisions/ssl-termination.md
create mode 100644 docs/source/design/float/design.md
create mode 100644 docs/source/design/float/full-float.png
create mode 100644 docs/source/design/float/in-process-amqp-bridging.png
create mode 100644 docs/source/design/float/out-of-proc-artemis-broker-bridges.png
diff --git a/docs/source/design/float/current-p2p-state.png b/docs/source/design/float/current-p2p-state.png
new file mode 100644
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diff --git a/docs/source/design/float/decisions/drb-meeting-20171116.md b/docs/source/design/float/decisions/drb-meeting-20171116.md
new file mode 100644
index 0000000000..0aa6742adf
--- /dev/null
+++ b/docs/source/design/float/decisions/drb-meeting-20171116.md
@@ -0,0 +1,155 @@
+
+
+--------------------------------------------
+Design Review Board Meeting Minutes
+============================================
+
+**Date / Time:** 16/11/2017, 14:00
+
+
+
+## Attendees
+
+- Mark Oldfield (MO)
+- Matthew Nesbit (MN)
+- Richard Gendal Brown (RGB)
+- James Carlyle (JC)
+- Mike Hearn (MH)
+- Jose Coll (JoC)
+- Rick Parker (RP)
+- Andrey Bozhko (AB)
+- Dave Hudson (DH)
+- Nick Arini (NA)
+- Ben Abineri (BA)
+- Jonathan Sartin (JS)
+- David Lee (DL)
+
+
+
+## **Minutes**
+
+MO opened the meeting, outlining the agenda and meeting review process, and clarifying that consensus on each design decision would be sought from RGB, JC and MH.
+
+MO set out ground rules for the meeting. RGB asked everyone to confirm they had read both documents; all present confirmed.
+
+MN outlined the motivation for a Float as responding to organisation’s expectation for a‘fire break’ protocol termination in the DMZ where manipulation and operation can be checked and monitored.
+
+The meetingwas briefly interrupted by technical difficulties with the GoToMeetingconferencing system.
+
+MN continued to outline how the design was constrained by expected DMZ rules and influenced by currently perceived client expectations – e.g. making the float unidirectional. He gave a prelude to certain design decisions e.g. the use ofAMQP from the outset.
+
+MN went onto describe the target solution in detail, covering the handling of both inbound and outbound connections. He highlighted implicit overlaps with the HA design – clustering support, queue names etc., and clarified that the local broker was not required to use AMQP.
+
+### [TLS termination](./ssl-termination.md)
+
+JC questioned where the TLS connection would terminate. MN outlined the pros and cons of termination on firewall vs. float, highlighting the consequence of float termination that access by the float to the to the private key was required, and that mechanisms may be needed to store that key securely.
+
+MH contended that the need to propagate TLS headers etc. through to the node (for reinforcing identity checks etc.) implied a need to terminate on the float. MN agreed but noted that in practice the current node design did not make much use of that feature.
+
+JCquestioned how users would provision a TLS cert on a firewall – MN confirmedusers would be able to do this themselves and were typically familiar withdoing so.
+
+RGB highlighted the distinction between the signing key for the TLS vs. identity certificates, and that this needed to be made clear to users. MN agreed that TLS private keys could be argued to be less critical from a security perspective, particularly when revocation was enabled.
+
+MH noted potential to issue sub-certs with key usage flags as an additional mitigating feature.
+
+RGB queried at what point in the flow a message would be regarded as trusted. MN set an expectation that the float would apply basic checks (e.g. stopping a connection talking on other topics etc.) but that subsequent sanitisation should happen in internal trusted portion.
+
+RGB questioned whether the TLS key on the float could be re-used on the bridge to enable wrapped messages to be forwarded in an encrypted form – session migration. MH and MN maintained TLS forwarding could not work in that way, and this would not allow the ‘fire break’ requirement to inspect packets.
+
+RGB concluded the bridge must effectively trust the firewall or bridge on the origin of incoming messages. MN raised the possibility of SASL verification,but noted objections by MH (clumsy because of multiple handshakes etc.).
+
+JC queried whether SASL would allow passing of identity and hence termination at the firewall;MN confirmed this.
+
+MH contented that the TLS implementation was specific to Corda in several ways which may challenge implementation using firewalls, and that typical firewalls(using old OpenSSL etc.) were probably not more secure than R3’s own solutions. RGB pointed out that the design was ultimately driven by client perception ofsecurity (MN: “security theatre”) rather than objective assessment. MH added that implementations would be firewall-specific and not all devices would support forwarding, support for AMQP etc.
+
+RGB proposed messaging to clients that the option existed to terminate on the firewall if it supported the relevant requirements.
+
+MN re-raised the question of key management. RGB asked about the risk implied from the threat of a compromised float. MN said an attacker who compromised a float could establish TLS connections in the name of the compromised party, and couldinspect and alter packets including readable busness data (assuming AMQP serialisation). MH gave an example of a MITM attack where an attacker could swap in their own single-use key allowing them to gain control of (e.g.) a cash asset; the TLS layer is the only current protection against that.
+
+RGB queried whether messages could be signed by senders. MN raised potential threat of traffic analysis, and stated E2E encryption was definitely possible but not for March-April.
+
+MH viewed the use-case for extra encryption as the consumer/SME market, where users would want to upload/download messages from a mailbox without needing to trust it –not the target market yet. MH maintained TLS really strong and that assuming compromise of float was not conceptually different from compromise of another device e.g. the firewall. MN confirmed that use of an HSM would generally require signing on the HSM device for every session; MH observed this could bea bottleneck in the scenario of a restored node seeking to re-establish a large number of connections. It was observed that the float would still need access to a key provisioning access to the HSM, so this did not materially improve the security in a compromised float scenario.
+
+MH advised against offering clients support for their own firewall since it would likely require R3 effort to test support and help with customisations.
+
+MN described option 2b to tunnel through to the internal trusted portion of the float over a connection initiated from inside the internal network in order for the key to be loaded into memory at run-time; this would require a bit more code.
+
+MH advocated option 2c - just to accept risk and store on file system – on the basis of time constraints, maintaining that TLS handshakes are complicated to code and hard to proxy. MH suggested upgrading to 2b or 2a later if needed. MH described how keys were managed at Google.
+
+**DECISION CONFIRMED**: Accept option 2b - Terminate on float, inject key from internal portion of the float (RGB, JC, MH agreed)
+
+### [E2E encryption](./e2e-encryption.md)
+
+DH proposed that E2E encryption would be much better but conceded the time limitations and agreed that the threat scenario of a compromised DMZ device was the same under the proposed options. MN agreed.
+
+MN argued for a placeholder vs. ignoring or scheduling work to build e2e encryption now. MH agreed, seeking more detailed proposals on what the placeholder was and how it would be used.
+
+MH queried whether e2e encryption would be done at the app level rather than the AMQP level, raising questions what would happen on non-supporting nodes etc.
+
+MN highlighted the link to AMQP serialisation work being done.
+
+**DECISION CONFIRMED:** Add placeholder, subject to more detailed design proposal (RGB, JC, MH agreed)
+
+### **[AMQP vs. custom protocol](./p2p-protocol.md) **
+
+MN described alternative options involving onion-routing etc.
+
+JoC questioned whether this would also allow support for load balancing; MN advised this would be too much change in direction in practice.
+
+MH outlined his original reasoning for AMQP (lots of e.g. manageability features, not allof which would be needed at the outset but possibly in future) vs. other options e.g. MQTT.
+
+MO questioned whether the broker would imply performance limitations.
+
+RGB argued there were two separate concerns: Carrying messages from float to bridge and then bridge to node, with separate design options.
+
+JC proposed the decision could be deferred until later. MN pointed out changing the protocol would compromise wire stability.
+
+MH advocated sticking with AMQP for now and implementing a custom protocol later with suitable backwards-compatibility features when needed.
+
+RGB queried whether full AMQP implementation should be done in this phase. MN provided explanation.
+
+**DECISION CONFIRMED:** Continue to use AMQP (RGB, JC, MH agreed)
+
+### [Pluggable broker prioritisation](./pluggable-broker.md)
+
+MN outlined arguments for deferring pluggable brokers, whilst describing how he’d go about implementing the functionality. MH agreed with prioritisation for later.
+
+JC queried whether broker providers could be asked to deliver the feature. AB mentioned that Solace seemed keen on working with R3 and could possibly be utilised. MH was sceptical, arguing that R3 resource would still be needed to support.
+
+JoC noted a distinction in scope for P2P and/or RPC.
+
+There was discussion of replacing the core protocol with JMS + plugins. RGB drew focus tothe question of when to do so, rather than how.
+
+AB noted Solace have functionality with conceptual similarities to the float, and questioned to what degree the float could be considered non-core technology. MH argued the nature of Corda as a P2P network made the float pretty core to avoiding dedicated network infrastructure.
+
+**DECISION CONFIRMED:** Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
+
+### **Inbound only vs. inbound & outbound connections**
+
+DL sought confirmation that the group was happy with the float to act as a Listener only.MN repeated the explanation of how outbound connections would be initiated through a SOCKS 4/5 proxy. No objections were raised.
+
+### Overall design and implementation plan
+
+MH requested more detailed proposals going forward on:
+
+1) To what degree logs from different components need to be integrated (consensus wasno requirement at this stage)
+
+2) Bridge control protocols.
+
+3) Scalability of hashing network map entries to a queue names
+
+4) Node admins' user experience – MH argued for documenting this in advance to validate design
+
+5) Behaviour following termination of a remote node (retry frequency, back-off etc.)?
+
+6) Impact on standalone nodes (no float)?
+
+JC noted an R3 obligation with Microsoft to support AMQP-compliant Azure messaging,. MN confirmed support for pluggable brokers should cover that.
+
+JC argued for documentation of procedures to be the next step as it is needed for the Project Agent Pilot phase. MH proposed sharing the advance documentation.
+
+JoC questioned whether the Bridge Manager locked the design to Artemis? MO highlighted the transitional elements of the design.
+
+RGB questioned the rationale for moving the broker out of the node. MN provided clarification.
+
+**DECISION CONFIRMED**: Design to proceed as discussed (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/e2e-encryption.md b/docs/source/design/float/decisions/e2e-encryption.md
new file mode 100644
index 0000000000..9677c57fcd
--- /dev/null
+++ b/docs/source/design/float/decisions/e2e-encryption.md
@@ -0,0 +1,56 @@
+
+
+--------------------------------------------
+Design Decision: End-to-end encryption
+============================================
+
+## Background / Context
+
+End-to-end encryption is a desirable potential design feature for the [float](../design.md).
+
+
+
+## Options Analysis
+
+### 1. No end-to-end encryption
+
+#### Advantages
+
+1. Least effort
+2. Easier to fault find and manage
+
+#### Disadvantages
+
+1. With no placeholder, it is very hard to add support later and maintain wire stability.
+2. May not get past security reviews of Float.
+
+### 2. Placeholder only
+
+#### Advantages
+
+1. Allows wire stability when we have agreed an encrypted approach
+2. Shows that we are serious about security, even if this isn’t available yet.
+3. Allows later encrypted version to be an enterprise feature that can interoperate with OS versions.
+
+#### Disadvantages
+
+1. Doesn’t actually provide E2E, or define what an encrypted payloadlooks like.
+2. Doesn’t address any crypto features that target protecting the AMQP headers.
+
+### 3. Implement end-to-end encryption
+
+1. Will protect the sensitive data fully.
+
+#### Disadvantages
+
+1. Lots of work.
+2. Difficult to get right.
+3. Re-inventing TLS.
+
+## Recommendation and justification
+
+Proceed with Option 2: Placeholder
+
+## Decision taken
+
+[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 2 - Add placeholder, subject to more detailed design proposal (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/p2p-protocol.md b/docs/source/design/float/decisions/p2p-protocol.md
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+
+
+--------------------------------------------
+Design Decision: P2P Messaging Protocol
+============================================
+
+## Background / Context
+
+Corda requires messages to be exchanged between nodes via a well-defined protocol.
+
+Determining this protocol is a critical upstream dependency for the design of key messaging components including the [float](../design.md).
+
+
+
+## Options Analysis
+
+### 1. Use AMQP
+
+Under this option, P2P messaging will follow the [Advanced Message Queuing Protocol](https://www.amqp.org/).
+
+#### Advantages
+
+1. As we have described in our marketing materials.
+2. Well-defined standard.
+3. Supportfor packet level flow control and explicit delivery acknowledgement.
+4. Will allow eventual swap out of Artemis for other brokers.
+
+#### Disadvantages
+
+1. AMQP is a complex protocol with many layered state machines, for which it may prove hard to verify security properties.
+2. No support for secure MAC in packets frames.
+3. No defined encryption mode beyond creating custom payload encryption and custom headers.
+4. No standardised support for queue creation/enumeration, or deletion.
+5. Use of broker durable queues and autonomousbridge transfers does not align with checkpoint timing, so that independent replication of the DB and Artemis data risks causing problems. (Writing to the DB doesn’t work currently and is probably also slow).
+
+### 2. Develop a custom protocol
+
+This option would discard existing Artemis server/AMQP support for peer-to-peer communications in favour of a custom implementation of the Corda MessagingService, which takes direct responsibility for message retries and stores the pending messages into the node's database. The wire level of this service would be built on top of a fully encrypted MIX network which would not require a fully connected graph, but rather send messages on randomly selected paths over the dynamically managed network graph topology.
+
+Packet format would likely use the  although with the body encryption updated to a modern AEAD scheme as in https://www.cs.ru.nl/~bmennink/pubs/16cans.pdf . In this scheme, nodes would be identified in the overlay network solely by Curve25519 public key addresses and floats would be dumb nodes that only run the MIX network code and don't act as message sources, or sinks. Intermediate traffic would not be readable except by the intended waypoint and only the final node can read the payload.
+
+Point to point links would be standard TLS and the network certificates would be whatever is acceptable to the host institutions e.g. standard Verisign certs. It is assumed institutions would select partners to connect to that they trust and permission them individually in their firewalls. Inside the MIX network the nodes would be connected mostly in a static way and use standard HELLO packets to determine the liveness of neighbour routes, then use tunnelled gossip to distribute the signed/versioned Link topology messages. Nodes will also be allowed to advertise a public IP, so some dynamic links and publicly visible nodes would exist. Network map addresses would then be mappings from Legal Identity to these overlay network addresses, not to physical network locations.
+
+#### Advantages
+
+1. Can be defined with very small message surface area that is amenable to security analysis.
+2. Packet formats can follow best practice cryptography from the start and be matched to Corda’s needs.
+3. Doesn’t require ‘Complete Graph’ structure for network if we have intermediate routing.
+4. More closely aligns checkpointing and message delivery handling at the application level.
+
+#### Disadvantages
+
+1. Inconsistent with previous design statements published to external stakeholders.
+2. Effort implications - starting from scratch
+3. Technical complexity in developing a P2P protocols which is attack tolerant.
+
+
+
+
+
+## Recommendation and justification
+
+Proceed with Option 1
+
+
+
+## Decision taken
+
+[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 1 - Continue to use AMQP (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/pluggable-broker.md b/docs/source/design/float/decisions/pluggable-broker.md
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+
+
+--------------------------------------------
+Design Decision: Pluggable Broker prioritisation
+============================================
+
+## Background / Context
+
+A decision on when to prioritise implementation of a pluggable broker has implications for delivery of key messaging components including the [float](../design.md).
+
+
+
+## Options Analysis
+
+### 1. Deliver pluggable brokers now
+
+#### Advantages
+
+1. Meshes with business opportunities from HPE and Solace Systems.
+2. Would allow us to interface to existing Bank middleware.
+3. Would allow us to switch away from Artemis if we need higher performance.
+4. Makes our AMQP story stronger.
+
+#### Disadvantages
+
+1. More up-front work.
+2. Might slow us down on other priorities.
+
+### 2. Defer development of pluggable brokers until later
+
+#### Advantages
+
+1. Still gets us where we want to go, just later.
+2. Work can be progressed as resource is available, rather than right now.
+
+#### Disadvantages
+
+1. Have to take care that we have sufficient abstractions that things like CORE connections can be replaced later.
+2. Leaves HPE and Solace hanging even longer.
+
+
+### 3. Never enable pluggable brokers
+
+#### Advantages
+
+1. What we already have.
+
+#### Disadvantages
+
+1. Ties us to ArtemisMQ development speed.
+
+2. Not good for our relationship with HPE and Solace.
+
+3. Probably limits our maximum messaging performance longer term.
+
+
+## Recommendation and justification
+
+Proceed with Option 2 (defer development of pluggable brokers until later)
+
+
+
+## Decision taken
+
+[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with Option 2- Defer support for pluggable brokers until later, except in the event that a requirement to do so emerges from higher priority float / HA work. (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/decisions/ssl-termination.md b/docs/source/design/float/decisions/ssl-termination.md
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+++ b/docs/source/design/float/decisions/ssl-termination.md
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+
+
+--------------------------------------------
+Design Decision: TLS termination point
+============================================
+
+## Background / Context
+
+Design of the [float](../design.md) is critically influenced by the decision of where TLS connections to the node should be terminated.
+
+
+
+## Options Analysis
+
+### 1. Terminate TLS on Firewall
+
+
+
+#### Advantages
+
+1. Common practice for DMZ web solutions, often with an HSM associated with the Firewall and should be familiar for banks to setup.
+2. Doesn’t expose our private key in the less trusted DMZ context.
+3. Bugs in the firewall TLS engine will be patched frequently.
+4. The DMZ float server would only require a self-signed certificate/private key to enable secure communications, so theft of this key has no impact beyond the compromised machine.
+
+#### Disadvantages
+
+1. May limit cryptography options to RSA, and prevent checking of X500 names (only the root certificate checked) - Corda certificates are not totally standard.
+2. Doesn’t allow identification of the message source.
+3. May require additional work and SASL support code to validate the ultimate origin of connections in the float.
+
+#### Variant option 1a: Include SASL connection checking
+
+##### Advantages
+
+1. Maintain authentication support
+2. Can authenticate against keys held internally e.g. Legal Identity not just TLS.
+
+##### Disadvantages
+
+1. More work than the do-nothing approach
+
+2. More protocol to design for sending across the inner firewall.
+
+
+
+### 2. Direct TLS Termination onto Float
+
+#### Advantages
+
+1. Validate our PKI certificates directly ourselves.
+2. Allow messages to be reliably tagged with source.
+
+#### Disadvantages
+
+1. We don’t currently use the identity to check incoming packets, only for connection authentication anyway.
+2. Management of Private Key a challenge requiring extra work and security implications. Options for this are presented below.
+
+#### Variant Option 2a: Float TLS certificate via direct HSM
+
+##### Advantages
+
+1. Key can’t be stolen (only access to signing operations)
+2. Audit trail of signings.
+
+##### Disadvantages
+
+1. Accessing HSM from DMZ probably not allowed.
+2. Breaks the inbound-connection-only rule of modern DMZ.
+
+#### Variant Option 2b: Tunnel signing requests to bridge manager
+
+##### Advantages
+
+1. No new connections involved from Float box.
+2. No access to actual private key from DMZ.
+
+##### Disadvantages
+
+1. Requires implementation of a message protocol, in addition to a key provider that can be passed to the standard SSLEngine, but proxies signing requests.
+
+#### Variant Option 2c: Store key on local file system
+
+##### Advantages
+
+1. Simple with minimal extra code required.
+2. Delegates access control to bank’s own systems.
+3. Risks losing only the TLS private key, which can easily be revoked. This isn’t the legal identity key at all.
+
+##### Disadvantages
+
+1. Risks losing the TLS private key.
+2. Probably not allowed.
+
+## Recommendation and justification
+
+Proceed with Variant option 1a: Terminate on firewall; include SASL connection checking.
+
+
+
+## Decision taken
+
+[DNB Meeting, 16/11/2017](./drb-meeting-20171116.md): Proceed with option 2b - Terminate on float, inject key from internal portion of the float (RGB, JC, MH agreed)
diff --git a/docs/source/design/float/design.md b/docs/source/design/float/design.md
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+
+
+# Float Design
+
+--------------------------------------------
+DOCUMENT MANAGEMENT
+============================================
+
+## Document Control
+
+* Title: Float Design
+* Date: 13th November 2017
+* Author: Matthew Nesbit
+* Distribution: Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery
+* Corda target version: Enterprise
+
+## Document Sign-off
+
+* Author: David Lee
+* Reviewers(s): TBD
+* Final approver(s): TBD
+
+## Document History
+
+# HIGH LEVEL DESIGN
+
+## Overview
+
+The role of the 'float' is to meet the requirements of organisations that will not allow direct incoming connections to their node, but would rather host a proxy component in a DMZ to achieve this. As such it needs to meet the requirements of modern DMZ security rules, which essentially assume that the entire machine in the DMZ may become compromised. At the same time, we expect that the Float can interoperate with directly connected nodes, possibly even those using open source Corda.
+
+### Background
+
+#### Current state of peer-to-peer messaging in Corda
+
+The diagram below illustrates the current mechanism for peer-to-peer messaging between Corda nodes.
+
+
+
+When a flow running on a Corda node triggers a requirement to send a message to a peer node, it first checks for pre-existence of an applicable message queue for that peer.
+
+**If the relevant queue exists:**
+
+1. The node submits the message to the queue and continues after receiving acknowledgement.
+2. The Core Bridge picks up the message and transfers it via a TLS socket to the inbox of the destination node.
+3. A flow on the recipient receives message from peer and acknowledged consumption on bus when the flow has checkpointed this progress.
+
+**If the queue does not exist (messaging a new peer):**
+
+1. The flow triggers creation of a new queue with a name encoding the identity of the intended recipient.
+2. When the queue creation has completed the node sends the message to the queue.
+3. The hosted Artemis server within the node has a queue creation hook which is called.
+4. The queue name is used to lookup the remote connection details and a new bridge is registered.
+5. The client certificate of the peer is compared to the expected legal identity X500 Name. If this is OK, message flow proceeds as for a pre-existing queue (above).
+
+## Scope
+
+* Goals:
+ * Allow connection to a Corda node wihout requiring direct incoming connections from external participants.
+ * Allow connections to a Corda node without requiring the node itself to have a public IP address. Separate TLS connection handling from the MQ broker.
+* Non-goals (out of scope):
+ * Support for MQ brokers other than Apache Artemis
+
+## Timeline
+For delivery by end Q1 2018.
+
+## Requirements
+Allow connectivity in compliance with DMZ constraints commonly imposed by modern financial institutions; namely:
+1. Firewalls required between the internet and any device in the DMZ, and between the DMZ and the internal network
+2. Data passing from the internet and the internal network via the DMZ should pass through a clear protocol break in the DMZ.
+3. Only identified IPs and ports are permitted to access devices in the DMZ; this include communications between devices colocated in the DMZ.
+4. Only a limited number of ports are opened in the firewall (<5) to make firewall operation manageable. These ports must change slowly.
+5. Any DMZ machine is typically multi-homed, with separate network cards handling traffic through the institutional firewall vs. to the Internet. (There is usually a further hidden management interface card accessed via a jump box for managing the box and shipping audit trail information). This requires that our software can bind listening ports to the correct network card not just to 0.0.0.0.
+6. No connections to be initiated by DMZ devices towards the internal network. Communications should be initiated from the internal network to form a bidirectional channel with the proxy process.
+7. No business data should be persisted on the DMZ box.
+8. An audit log of all connection events is required to track breaches. Latency information should also be tracked to facilitate management of connectivity issues.
+9. Processes on DMZ devices run as local accounts with no relationship to internal permission systems, or ability to enumerate devices on the internal network.
+10. Communications in the DMZ should yse modern TLS, often with local-only certificates/keys that hold no value outside of use in predefined links.
+11. Where TLS is required to terminate on the firewall, provide a suitably secure key management mechanism (e.g. an HSM).
+12. Any proxy in the DMZ should be subject to the same HA requirements as the devices it is servicing
+13. Any business data passing through the proxy should be separately encrypted, so that no data is in the clear of the program memory if the DMZ box is compromised.
+
+## Design Decisions
+
+The following design decisions are assumed by this design:
+
+1. [AMQP vs. custom P2P](./decisions/p2p-protocol.md): Use AMQP
+2. [SSL termination (firewall vs. float)](./decisions/ssl-termination.md): Terminate on firewall; include SASL connection checking
+3. [End-to-end encryption](./decisions/e2e-encryption.md): Include placeholder only
+4. [Prioritisation of pluggable broker support](./decisions/pluggable-broker.md): Defer pluggable brokers until later
+
+## Target Solution
+
+The proposed solution introduces a reverse proxy component ("**float**") which may be sited in the DMZ, as illustrated in the diagram below.
+
+
+
+The main role of the float is to forward incoming AMQP link packets from authenticated TLS links to the AMQP Bridge Manager, then echo back final delivery acknowledgements once the Bridge Manager has successfully inserted the messages. The Bridge Manager is responsible for rejecting inbound packets on queues that are not local inboxes to prevent e.g. 'cheating' messages onto management topics, faking outgoing messages etc.
+
+The float is linked to the internal AMQP Bridge Manager via a single AMQP/TLS connection, which can contain multiple logical AMQP links. This link is initiated at the socket level by the Bridge Manager towards the float.
+
+The float is a **listener only** and does not enable outgoing bridges (see Design Decisions, above). Outgoing bridge formation and message sending come directly from the internal Bridge Manager (possibly via a SOCKS 4/5 proxy, which is easy enough to enable in netty, or directly through the corporate firewall. Initiating from the float gives rise to security concerns.)
+
+The float is **not mandatory**; interoperability with older nodes, even those using direct AMQP from bridges in the node, is supported.
+
+**No state will be serialized on the float**, although suitably protected logs will be recorded of all float activities.
+
+**End-to-end encryption** of the payload is not delivered through this design (see Design Decisions, above). For current purposes, a header field indicating plaintext/encrypted payload is employed as a placeholder.
+
+**HA** is enabled (this should be easy as the bridge manager can choose which float to make active). Only fully connected DMZ floats should activate their listening port.
+
+Implementation of the float is expected to be based on existing AMQP Bridge Manager code - see Implementation Plan, below, for expected work stages.
+
+### Bridge control protocol
+The bridge control is designed to be as stateless as possible. Thus, nodes and bridges restarting must re-request/broadcast information to each other. Messages are sent to a 'bridge.control' address in Artemis as non-persistent messages with a non-durable queue. Each message should contain a duplicate message ID, which is also re-used as the correlation id in replies. Relevant scenarios are described below:
+
+#### On bridge start-up, or reconnection to Artemis
+1. The bridge process should subscribe to the 'bridge.control'.
+2. The bridge should start sending QueueQuery messages which will contain a unique message id and an identifier for the bridge sending the message.
+3. The bridge should continue to send these until at least one node replies with a matched QueueSnapshot message.
+4. The QueueSnapshot message replies from the nodes contains a correlationId field set to the unique id of the QueueQuery query, or the correlation id is null. The message payload is a list of inbox queue info items and a list of outbound queue info items. Each queue info item is a tuple of Legal X500 Name (as expected upon the destination TLS certificates) and the queue name which should have the form of "internal.peers."+hash key of legal identity (using the same algorithm as we use in the db to make the string). Note this queue name is a change from the current logic, but will be more portable to length constrained topics and allow multiple inboxes on the same broker.
+5. The bridge should process the QueueSnapshot, initiating links to the outgoing targets. It should also add expected inboxes to its in-bound permission list.
+6. When an outgoing link is successfully formed the remote client certificate should be checked against the expected X500 name. Assuming the link is valid the bridge should subscribe to the related queue and start trying to forward the messages.
+
+#### On node start-up, or reconnection to Artemis
+1. The node should subscribe to 'bridge.control'.
+2. The node should enumerate the queues and identify which are have well known identities in the network map cache. The appropriate information about its own inboxes and any known outgoing queues should be compiled into an unsolicited QueueSnapshot message with a null correlation id. This should be broadcasted to update any bridges that are running.
+3. If any QueueQuery messages arrive these should be responded to with specific QueueSnapshot messages with the correlation id set.
+
+#### On network map updates
+1. On receipt of any network map cache updates the information should be evaluated to see if any addition queues can now be mapped to a bridge. At this point a BridgeRequest packet should be sent which will contain the legal X500Name and queue name of the new update.
+
+#### On flow message to Peer
+1. If a message is to be sent to a peer the code should (as it does now) check for queue existence in its cache and then on the broker. If it does exist it simply sends the message.
+2. If the queue is not listed in its cache it should block until the queue is created (this should be safe versus race conditions with other nodes).
+3. Once the queue is created the original message and subsequent messages can now be sent.
+4. In parallel a BridgeRequest packet should be sent to activate a new connection outwards. This will contain the contain the legal X500Name and queue name of the new queue.
+5. Future QueueSnapshot requests should be responded to with the new queue included in the list.
+
+### Behaviour with a Float portion in the DMZ
+1. On initial connection of an inbound bridge, AMQP is configured to run a SASL challenge response to (re-)validate the origin and confirm the client identity. (The most likely SASL mechanism for this is using https://tools.ietf.org/html/rfc3163 as this allows reuse of our PKI certificates in the challenge response. Potentially we could forward some bridge control messages to cover the SASL exchange to the internal Bridge Controller. This would allow us to keep the private keys internal to the organisation, so we may also require a SASLAuth message type as part of the bridge control protocol.)
+2. The float restricts acceptable AMQP topics to the name space appropriate for inbound messages only. Hence, there should be no way to tunnel messages to bridge control, or RPC topics on the bus.
+3. On receipt of a message from the external network, the Float should append a header to link the source channel's X500 name, then create a Delivery for forwarding the message inwards.
+4. The internal Bridge Control Manager process validates the message further to ensure that it is targeted at a legitimate inbox (i.e. not an outbound queue) and then forwards it to the bus. Once delivered to the broker, the Delivery acknowledgements are cascaded back.
+5. On receiving Delivery notification from the internal side, the Float acknowledges back the correlated original Delivery.
+6. The Float should protect against excessive inbound messages by AMQP flow control and refusing to accept excessive unacknowledged deliveries.
+7. The Float only exposes its inbound server socket when activated by a valid AMQP link from the Bridge Control Manager to allow for a simple HA pool of DMZ Float processes. (Floats cannot run hot-hot as this would invalidate Corda's message ordering guarantees.)
+
+
+
+# IMPLEMENTATION PLAN
+
+## Proposed Incremental Steps Towards a Float
+1. First, I would like to more explicitly split the RPC and P2P MessagingService instances inside the Node. They can keep the same interface, but this would let us develop P2P and RPC at different rates if required.
+2. The current in-node design with Artemis Core bridges should first be replaced with an equivalent piece of code that initiates send only bridges using an in-house wrapper over the proton-j library. Thus, the current Artemis message objects will be picked up from existing queues using the CORE protocol via an abstraction interface to allow later pluggable replacement. The specific subscribed queues are controlled as before and bridges started by the existing code path. The only difference is the bridges will be the new AMQP client code. The remote Artemis broker should accept transferred packets directly onto its own inbox queue and acknowledge receipt via standard AMQP Delivery notifications. This in turn will be acknowledged back to the Artemis Subscriber to permanently remove the message from the source Artemis queue. The headers for deduplication, address names, etc will need to be mapped to the AMQP messages and we will have to take care about the message payload. This should be an envelope that is capable in the future of being end-to-end encrypted. Where possible we should stay close to the current Artemis mappings.
+3. We need to define a bridge control protocol, so that we can have an out of process float/bridge. The current process is that on message send the node checks the target address to see if the target queue already exists. If the queue doesn't exist it creates a new queue which includes an encoding of the PublicKey in its name. This is picked up by a wrapper around the Artemis Server which is also hosted inside the node and can ask the network map cache for a translation to a target host and port. This in turn allows a new bridge to be provisioned. At node restart the re-population of the network map cache is followed to re-create the bridges to any unsent queues/messages.
+4. My proposal for a bridge control protocol is partly influenced by the fact that AMQP does not have a built-in mechanism for queue creation/deletion/enumeration. Also, the flows cannot progress until they are sure that there is an accepting queue. Finally, if one runs a local broker it should be fine to run multiple nodes without any bridge processes. Therefore, I will leave the queue creation as the node's responsibility. Initially we can continue to use the existing CORE protocol for this. The requirement to initiate a bridge will change from being implicit signalling via server queue detection to being an explicit pub-sub message that requests bridge formation. This doesn't need durability, or acknowledgements, because when a bridge process starts it should request a refresh of the required bridge list. The typical create bridge messages should contain:
+ 1. The queue name (ideally with the sha256 of the PublicKey, not the whole PublicKey as that may not work on brokers with queue name length constraints).
+ 2. The expected X500Name for the remote TLS certificate.
+ 3. The list of host and ports to attempt connection to. See separate section for more info.
+5. Once we have the bridge protocol in place and a bridge out of process the broker can move out of process too, which is a requirement for clustering anyway. We can then start work on floating the bridge and making our broker pluggable.
+ 1. At this point the bridge connection to the local queues should be upgraded to also be AMQP client, rather than CORE protocol, which will give the ability for the P2P bridges to work with other broker products.
+ 2. An independent task is to look at making the Bridge process HA, probably using a similar hot-warm mastering solution as the node, or atomix.io. The inactive node should track the control messages, but obviously doesn't initiate any bridges.
+ 3. Another potentially parallel piece of development is to start to build a float, which is essentially just splitting the bridge in two and putting in an intermediate hop AMQP/TLS link. The thin proxy in the DMZ zone should be as stateless as possible in this.
+ 4. Finally, the node should use AMQP to talk to its local broker cluster, but this will have to remain partly tied to Artemis, as queue creation will require sending management messages to the Artemis core, but we should be able to abstract this. Bridge Management Protocol.
+
+## Float evolution
+
+### In-Process AMQP Bridging
+
+
+1. In this phase of evolution we hook the same bridge creation code as before and use the same in-process data access to network map cache.
+2. However, we now implement AMQP sender clients using proton-j and netty for TLS layer and connection retry.
+3. This will also involve formalising the AMQP packet format of the Corda P2P protocol.
+4. Once a bridge makes a successful link to a remote node's Artemis broker it will subscribe to the associated local queue.
+5. The messages will be picked up from the local broker via an Artemis CORE consumer for simplicity of initial implementation.
+6. The queue consumer should be implemented with a simple generic interface as façade, to allow future replacement.
+7. The message will be sent across the AMQP protocol directly to the remote Artemis broker.
+8. Once acknowledgement of receipt is given with an AMQP Delivery notification the queue consumption will be acknowledged.
+9. This will remove the original item from the source queue.
+10. If delivery fails due to link loss the subscriber should be closed until a new link is established to ensure messages are not consumed.
+11. If delivery fails for other reasons there should be some for of periodic retry over the AMQP link.
+12. For authentication checks the client cert returned from the remote server will be checked and the link dropped if it doesn't match expectations.
+
+### Out of process Artemis Broker and Bridges
+
+
+1. Move the Artemis broker and bridge formation logic out of the node. This requires formalising the bridge creation requests, but allows clustered brokers, standardised AMQP usage and ultimately pluggable brokers.
+2. We should implement a netty socket server on the bridge and forward authenticated packets to the local Artemis broker inbound queues. An AMQP server socket is required for the float, although it should be transparent whether a NodeInfo refers to a bridge socket address, or an Artemis broker.
+3. The queue names should use the sha-256 of the PublicKey not the full key. Also, the name should be used for in and out queues, so that multiple distinct nodes can coexist on the same broker. This will simplify development as developers just run a background broker and shouldn't need to restart it.
+4. To export the network map information and to initiate bridges a non-durable bridge control protocol will be needed (in blue). Essentially the messages declare the local queue names and target TLS link information. For in-bound messages only messages for known inbox targets will be acknowledged.
+5. It should not be hard to make the bridges active-passive HA as they contain no persisted message state and simple RPC can resync the state of the bridge.
+6. Queue creation will remain with the node as this must use non-AMQP mechanisms and because flows should be able to queue sent messages even if the bridge is temporarily down.
+7. In parallel work can start to upgrade the local links to Artemis (i.e. the node-Artemis link and the Bridge Manager-Artemis link) to be AMQP clients as much as possible.
+
+### Full float implementation
+As described in the 'Target Solution' section, above.
diff --git a/docs/source/design/float/full-float.png b/docs/source/design/float/full-float.png
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literal 0
HcmV?d00001
From b2c28cb523fe68ea7c59c869c0622f107ad3e490 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 15:41:03 +0200
Subject: [PATCH 20/25] Docs: import hadr design doc.
---
.../design/hadr/HA deployment - Hot-Cold.png | Bin 0 -> 385147 bytes
.../design/hadr/HA deployment - Hot-Hot.png | Bin 0 -> 432994 bytes
.../design/hadr/HA deployment - Hot-Warm.png | Bin 0 -> 253037 bytes
.../design/hadr/HA deployment - No HA.png | Bin 0 -> 286739 bytes
.../design/hadr/decisions/crash-shell.md | 52 ++++
.../design/hadr/decisions/db-msg-store.md | 47 ++++
.../hadr/decisions/drb-meeting-20171116.md | 126 ++++++++++
.../design/hadr/decisions/external-broker.md | 49 ++++
.../design/hadr/decisions/ip-addressing.md | 48 ++++
.../hadr/decisions/medium-term-target.md | 49 ++++
.../design/hadr/decisions/near-term-target.md | 46 ++++
docs/source/design/hadr/design.md | 236 ++++++++++++++++++
12 files changed, 653 insertions(+)
create mode 100644 docs/source/design/hadr/HA deployment - Hot-Cold.png
create mode 100644 docs/source/design/hadr/HA deployment - Hot-Hot.png
create mode 100644 docs/source/design/hadr/HA deployment - Hot-Warm.png
create mode 100644 docs/source/design/hadr/HA deployment - No HA.png
create mode 100644 docs/source/design/hadr/decisions/crash-shell.md
create mode 100644 docs/source/design/hadr/decisions/db-msg-store.md
create mode 100644 docs/source/design/hadr/decisions/drb-meeting-20171116.md
create mode 100644 docs/source/design/hadr/decisions/external-broker.md
create mode 100644 docs/source/design/hadr/decisions/ip-addressing.md
create mode 100644 docs/source/design/hadr/decisions/medium-term-target.md
create mode 100644 docs/source/design/hadr/decisions/near-term-target.md
create mode 100644 docs/source/design/hadr/design.md
diff --git a/docs/source/design/hadr/HA deployment - Hot-Cold.png b/docs/source/design/hadr/HA deployment - Hot-Cold.png
new file mode 100644
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diff --git a/docs/source/design/hadr/HA deployment - Hot-Hot.png b/docs/source/design/hadr/HA deployment - Hot-Hot.png
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diff --git a/docs/source/design/hadr/decisions/crash-shell.md b/docs/source/design/hadr/decisions/crash-shell.md
new file mode 100644
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+
+
+--------------------------------------------
+Design Decision: Node starting & stopping
+============================================
+
+## Background / Context
+
+The potential use of a crash shell is relevant to [high availability](../design.md) capabilities of nodes.
+
+
+
+## Options Analysis
+
+### 1. Use crash shell
+
+#### Advantages
+
+1. Already built into the node.
+2. Potentially add custom commands.
+
+#### Disadvantages
+
+1. Won’t reliably work if the node is in an unstable state
+2. Not practical for running hundreds of nodes as our customers arealready trying to do.
+3. Doesn’t mesh with the user access controls of the organisation.
+4. Doesn’t interface to the existing monitoring andcontrol systems i.e. Nagios, Geneos ITRS, Docker Swarm, etc.
+
+### 2. Delegate to external tools
+
+#### Advantages
+
+1. Doesn’t require change from our customers
+2. Will work even if node is completely stuck
+3. Allows scripted node restart schedules
+4. Doesn’t raise questions about access controllists and audit
+
+#### Disadvantages
+
+1. More uncertainty about what customers do.
+2. Might be more requirements on us to interact nicely with lots of different products.
+3. Might mean we get blamed for faults in other people’s control software.
+4. Doesn’t coordinate with the node for graceful shutdown.
+5. Doesn’t address any crypto features that target protecting the AMQP headers.
+
+## Recommendation and justification
+
+Proceed with Option 2: Delegate to external tools
+
+## Decision taken
+
+**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Restarts should be handled by polite shutdown, followed by a hard clear. (RGB, JC, MH agreed)
\ No newline at end of file
diff --git a/docs/source/design/hadr/decisions/db-msg-store.md b/docs/source/design/hadr/decisions/db-msg-store.md
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--- /dev/null
+++ b/docs/source/design/hadr/decisions/db-msg-store.md
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+
+
+--------------------------------------------
+Design Decision: Message storage
+============================================
+
+## Background / Context
+
+Storage of messages by the message broker has implications for replication technologies which can be used to ensure both [high availability](../design.md) and disaster recovery of Corda nodes.
+
+
+
+## Options Analysis
+
+### 1. Storage in the file system
+
+#### Advantages
+
+1. Out of the box configuration.
+2. Recommended Artemis setup
+3. Faster
+4. Less likely to have interaction with DB Blob rules
+
+#### Disadvantages
+
+1. Unaligned capture time of journal data compared to DB checkpointing.
+2. Replication options on Azure are limited. Currently we may be forced to the ‘Azure Files’ SMB mount, rather than the ‘Azure Data Disk’ option. This is still being evaluated
+
+### 2. Storage in node database
+
+#### Advantages
+
+1. Single point of data capture and backup
+2. Consistent solution between VM and physical box solutions
+
+#### Disadvantages
+
+1. Doesn’t work on H2, or SQL Server. From my own testing LargeObject support is broken. The current Artemis code base does allow somepluggability, but not of the large object implementation, only of the SQLstatements. We should lobby for someone to fix the implementations for SQLServer and H2.
+2. Probably much slower, although this needs measuring.
+
+## Recommendation and justification
+
+Continue with Option 1: Storage in the file system
+
+## Decision taken
+
+[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md) Use storage in the file system (for now)
\ No newline at end of file
diff --git a/docs/source/design/hadr/decisions/drb-meeting-20171116.md b/docs/source/design/hadr/decisions/drb-meeting-20171116.md
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+++ b/docs/source/design/hadr/decisions/drb-meeting-20171116.md
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+
+
+--------------------------------------------
+Design Review Board Meeting Minutes
+============================================
+
+**Date / Time:** 16/11/2017, 16:30
+
+
+
+## Attendees
+
+- Mark Oldfield (MO)
+- Matthew Nesbit (MN)
+- Richard Gendal Brown (RGB)
+- James Carlyle (JC)
+- Mike Hearn (MH)
+- Jose Coll (JoC)
+- Rick Parker (RP)
+- Andrey Bozhko (AB)
+- Dave Hudson (DH)
+- Nick Arini (NA)
+- Ben Abineri (BA)
+- Jonathan Sartin (JS)
+- David Lee (DL)
+
+
+
+## **Minutes**
+
+The meeting re-opened following prior discussion of the float design.
+
+MN introduced the design for high availability, clarifying that the design did not include support for DR-implied features (asynchronous replication etc.).
+
+MN highlighted limitations in testability: Azure had confirmed support for geo replication but with limited control by the user and no testing facility; all R3 can do is test for impact on performance.
+
+The design was noted to be dependent on a lot on external dependencies for replication, with R3's testing capability limited to Azure. Agent banks may want to use SAN across dark fiber sites, redundant switches etc. not available to R3.
+
+MN noted that certain databases are not yet officially supported in Corda.
+
+### [Near-term-target](./near-term-target.md), [Medium-term target](./medium-term-target.md)
+
+Outlining the hot-cold design, MN highlighted importance of ensuring only one node is active at one time. MN argued for having a tested hot-cold solution as a ‘backstop’. MN confirmed the work involved was to develop DB/SAN exclusion checkers and test appropriately.
+
+JC queried whether unknowns exist for hot-cold. MN described limitations of Azure file replication.
+
+JC noted there was optionality around both the replication mechanisms and the on-premises vs. cloud deployment.
+
+### [Message storage](./db-msg-store.md)
+
+Lack of support for storing Artemis messages via JDBC was raised, and the possibility for RedHat to provide an enhancement was discussed.
+
+MH raised the alternative of using Artemis’ inbuilt replication protocol - MN confirmed this was in scope for hot-warm, but not hot-cold.
+
+JC posited that file system/SAN replication should be OK for banks
+
+**DECISION AGREED**: Use storage in the file system (for now)
+
+AB questioned about protections against corruption; RGB highlighted the need for testing on this. MH described previous testing activity, arguing for a performance cluster that repeatedly runs load tests, kills nodes,checking they come back etc.
+
+MN could not comment on testing status of current code. MH noted the notary hasn't been tested.
+
+AB queried how basic node recovery would work. MN explained, highlighting the limitation for RPC callbacks.
+
+JC proposed these limitations should be noted and explained to Finastra; move on.
+
+There was discussion of how RPC observables could be made to persist across node outages. MN argued that for most applications, a clear signal of the outage that triggered clients to resubscribe was preferable. This was agreed.
+
+JC argued for using Kafka.
+
+MN presented the Hot-warm solution as a target for March-April and provide clarifications on differences vs. hot-cold and hot-hot.
+
+JC highlighted that the clustered artemis was an important intermediate step. MN highlighted other important features
+
+MO noted that different banks may opt for different solutions.
+
+JoC raised the question of multi-IP per node.
+
+MN described the Hot-hot solution, highlighting that flows remained 'sticky' to a particular instance but could be picked up by another when needed.
+
+AB preferred the hot-hot solution. MN noted the many edge cases to be worked through.
+
+AB Queried the DR story. MO stated this was out of scope at present.
+
+There was discussion of the implications of not having synchronous replication.
+
+MH questioned the need for a backup strategy that allows winding back the clock. MO stated this was out of scope at present.
+
+MO drew attention to the expectation that Corda would be considered part of larger solutions with controlled restore procedures under BCP.
+
+JC noted the variability in many elements as a challenge.
+
+MO argued for providing a 'shrink-wrapped' solution based around equipment R3 could test (e.g. Azure)
+
+JC argued for the need to manage testing of banks' infrastructure choices in order to reduce time to implementation.
+
+There was discussion around the semantic difference between HA and DR. MH argued for a definition based around rolling backups. MN and MO shared banks' view of what DR is. MH contrasted this with Google definitions. AB noted HA and DR have different SLAs.
+
+**DECISION AGREED:** Near-term target: Hot Cold; Medium-term target: Hot-warm (RGB, JC, MH agreed)
+
+RGB queried why Artemis couldn't be run in clustered mode now. MN explained.
+
+AB queried what Finastra asked for. MO implied nothing specific; MH maintained this would be needed anyway.
+
+### [Broker separation](./external-broker.md)
+
+MN outlined his rationale for Broker separation.
+
+JC queried whether this would affect demos.
+
+MN gave an assumption that HA was for enterprise only; RGB, JC: pointed out that Enterprise might still be made available for non-production use.
+
+**DECISION AGREED**: The broker should only be separated if required by other features (e.g. the float), otherwise not. (RGB, JC, MH agreed).
+
+### [Load balancers and multi-IP](./ip-addressing.md)
+
+The topic was discussed.
+
+**DECISION AGREED**: The design can allow for optional load balancers to be implemented by clients.
+
+### [Crash shell](./crash-shell.md)
+
+MN provided outline explanation.
+
+**DECISION AGREED**: Restarts should be handled by polite shutdown, followed by a hard clear. (RGB, JC, MH agreed)
+
diff --git a/docs/source/design/hadr/decisions/external-broker.md b/docs/source/design/hadr/decisions/external-broker.md
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+
+
+--------------------------------------------
+Design Decision: Broker separation
+============================================
+
+## Background / Context
+
+A decision of whether to extract the Artemis message broker as a separate component has implications for the design of [high availability](../design.md) for nodes.
+
+
+
+## Options Analysis
+
+### 1. No change (leave broker embedded)
+
+#### Advantages
+
+1. Least change
+
+#### Disadvantages
+
+1. Means that starting/stopping Corda is tightly coupled to starting/stopping Artemis instances.
+2. Risks resource leaks from one system component affecting other components.
+3. Not pluggable if we wish to have an alternative broker.
+
+## 2. External broker
+
+#### Advantages
+
+1. Separates concerns
+2. Allows future pluggability and standardisation on AMQP
+3. Separates life cycles of the components
+4. Makes Artemis deployment much more out of the box.
+5. Allows easier tuning of VM resources for Flow processing workloads vs broker type workloads.
+6. Allows later encrypted version to be an enterprise feature that can interoperate with OS versions.
+
+#### Disadvantages
+
+1. More work
+2. Requires creating a protocol to control external bridge formation.
+
+## Recommendation and justification
+
+Proceed with Option 2: External broker
+
+## Decision taken
+
+**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** The broker should only be separated if required by other features (e.g. the float), otherwise not. (RGB, JC, MH agreed).
\ No newline at end of file
diff --git a/docs/source/design/hadr/decisions/ip-addressing.md b/docs/source/design/hadr/decisions/ip-addressing.md
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+++ b/docs/source/design/hadr/decisions/ip-addressing.md
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+
+
+--------------------------------------------
+Design Decision: IP addressing mechanism (near-term)
+============================================
+
+## Background / Context
+
+End-to-end encryption is a desirable potential design feature for the [float](../design.md).
+
+
+
+## Options Analysis
+
+### 1. Via load balancer
+
+#### Advantages
+
+1. Standard technology in banks and on clouds, often for non-HA purposes.
+2. Intended to allow us to wait for completion of network map work.
+
+#### Disadvantages
+
+1. We do need to support multiple IP address advertisements in network map long term.
+2. Might involve small amount of code if we find Artemis doesn’t like the health probes. So far though testing of the Azure Load balancer doesn’t need this.
+3. Won’t work over very large data centre separations, but that doesn’t work for HA/DR either
+
+### 2. Via IP list in Network Map
+
+#### Advantages
+
+1. More flexible
+2. More deployment options
+3. We will need it one day
+
+#### Disadvantages
+
+1. Have to write code to support it.
+2. Configuration more complicated and now the nodesare non-equivalent, so you can’t just copy the config to the backup.
+3. Artemis has round robin and automatic failover, so we may have to expose a vendor specific config flag in the network map.
+
+## Recommendation and justification
+
+Proceed with Option 1: Via Load Balancer
+
+## Decision taken
+
+**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** The design can allow for optional load balancers to be implemented by clients. (RGB, JC, MH agreed)
\ No newline at end of file
diff --git a/docs/source/design/hadr/decisions/medium-term-target.md b/docs/source/design/hadr/decisions/medium-term-target.md
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+
+
+------
+
+# Design Decision: Medium-term target for node HA
+
+## Background / Context
+
+Designing for high availability is a complex task which can only be delivered over an operationally-significant timeline. It is therefore important to determine whether an intermediate state design (deliverable for around March 2018) is desirable as a precursor to longer term outcomes.
+
+
+
+## Options Analysis
+
+### 1. Hot-warm as interim state (see [HA design doc](../design.md))
+
+#### Advantages
+
+1. Simpler master/slave election logic
+2. Less edge cases with respect to messages being consumed by flows.
+3. Naive solution of just stopping/starting the node code is simple to implement.
+
+#### Disadvantages
+
+1. Still probably requires the Artemis MQ outside of the node in a cluster.
+2. May actually turn out more risky than hot-hot, because shutting down code is always prone to deadlocks and resource leakages.
+3. Some work would have to be thrown away when we create a full hot-hot solution.
+
+### 2. Progress immediately to Hot-hot (see [HA design doc](../design.md))
+
+#### Advantages
+
+1. Horizontal scalability is what all our customers want.
+2. It simplifies many deployments as nodes in a cluster are all equivalent.
+
+#### Disadvantages
+
+1. More complicated especially regarding message routing.
+2. Riskier to do this big-bang style.
+3. Might not meet deadlines.
+
+## Recommendation and justification
+
+Proceed with Option 1: Hot-warm as interim state.
+
+## Decision taken
+
+**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Adopt option 1: Medium-term target: Hot Warm (RGB, JC, MH agreed)
+
diff --git a/docs/source/design/hadr/decisions/near-term-target.md b/docs/source/design/hadr/decisions/near-term-target.md
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+
+
+--------------------------------------------
+Design Decision: Near-term target for node HA
+============================================
+
+## Background / Context
+
+Designing for high availability is a complex task which can only be delivered over an operationally-significant timeline. It is therefore important to determine the target state in the near term as a precursor to longer term outcomes.
+
+
+
+## Options Analysis
+
+### 1. No HA
+
+#### Advantages
+
+1. Reduces developer distractions.
+
+#### Disadvantages
+
+1. No backstop if we miss our targets for fuller HA.
+2. No answer at all for simple DR modes.
+
+### 2. Hot-cold (see [HA design doc](../design.md))
+
+#### Advantages
+
+1. Flushes out lots of basic deployment issues that will be of benefit later.
+2. If stuff slips we at least have a backstop position with hot-cold.
+3. For now, the only DR story we have is essentially a continuation of this mode
+4. The intent of decisions such as using a loadbalancer is to minimise code changes
+
+#### Disadvantages
+
+1. Distracts from the work for more complete forms of HA.
+2. Involves creating a few components that are not much use later, for instance the mutual exclusion lock.
+
+## Recommendation and justification
+
+Proceed with Option 2: Hot-cold.
+
+## Decision taken
+
+**[DRB meeting, 16/11/2017:](./drb-meeting-20171116.md)** Adopt option 2: Near-term target: Hot Cold (RGB, JC, MH agreed)
diff --git a/docs/source/design/hadr/design.md b/docs/source/design/hadr/design.md
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--- /dev/null
+++ b/docs/source/design/hadr/design.md
@@ -0,0 +1,236 @@
+
+
+# High Availability Support for Corda: A Phased Approach
+
+-------------------
+DOCUMENT MANAGEMENT
+===================
+
+## Document Control
+
+* High Availability and Disaster Recovery for Corda: A Phased Approach
+* Date: 13th November 2017
+* Author: Matthew Nesbit
+* Distribution: Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery
+* Corda target version: Enterprise
+
+## Document Sign-off
+
+* Author: David Lee
+* Reviewers(s): TBD
+* Final approver(s): TBD
+
+## Document History
+
+--------------------------------------------
+HIGH LEVEL DESIGN
+============================================
+
+## Overview
+### Background
+
+The term high availability (HA) is used in this document to refer to the ability to rapidly handle any single component failure, whether due to physical issues (e.g. hard drive failure), network connectivity loss, or software faults.
+
+Expectations of HA in modern enterprise systems are for systems to recover normal operation in a few minutes at most, while ensuring minimal/zero data loss. Whilst overall reliability is the overriding objective, it is desirable for Corda to offer HA mechanisms which are both highly automated and transparent to node operators. HA mechanism must not involve any configuration changes that require more than an appropriate admin tool, or a simple start/stop of a process as that would need an Emergency Change Request.
+
+HA naturally grades into requirements for Disaster Recovery (DR), which requires that there is a tested procedure to handle large scale multi-component failures e.g. due to data centre flooding, acts of terrorism. DR processes are permitted to involve significant manual intervention, although the complications of actually invoking a Business Continuity Plan (BCP) mean that the less manual intervention, the more competitive Corda will be in the modern vendor market.
+For modern financial institutions, maintaining comprehensive and effective BCP procedures are a legal requirement which is generally tested at least once a year.
+
+However, until Corda is the system of record, or the primary system for transactions we are unlikely to be required to have any kind of fully automatic DR. In fact, we are likely to be restarted only once BCP has restored the most critical systems.
+In contrast, typical financial institutions maintain large, complex technology landscapes in which individual component failures can occur, such as:
+
+* Small scale software failures
+* Mandatory data centre power cycles
+* Operating system patching and restarts
+* Short lived network outages
+* Middleware queue build-up
+* Machine failures
+
+Thus, HA is essential for enterprise Corda and providing help to administrators necessary for rapid fault diagnosis.
+
+### Current node topology
+
+
+
+The current solution has a single integrated process running in one JVM including
+Artemis, H2 database, Flow State Machine, P2P bridging. All storage is on the local file system. There is no HA capability other than manual restart of the node following failure.
+
+#### Limitations
+
+- All sub-systems must be started and stopped together.
+- Unable to handle partial failure e.g. Artemis.
+- Artemis cannot use its in-built HA capability (clustered slave mode) as it is embedded.
+- Cannot run the node with the flow state machine suspended.
+- Cannot use alternative message brokers.
+- Cannot run multiple nodes against the same broker.
+- Cannot use alternative databases to H2.
+- Cannot share the database across Corda nodes.
+- RPC clients do have automatic reconnect but there is no clear solution for resynchronising on reconnect.
+- The backup strategy is unclear.
+
+## Requirements
+### Goals
+ * A logical Corda node should continue to function in the event of an individual component failure or (e.g.) restart.
+ * No loss, corruption or duplication of data on the ledger due to component outages
+ * Ensure continuity of flows throughout any disruption
+ * Support software upgrades in a live network
+
+### Goals (out of scope for this design document)
+ * Be able to distribute a node over more than two datacenters.
+ * Be able to distribute a node between datacenters that are very far apart latency-wise (unless you don't care about performance).
+ * Be able to tolerate arbitrary byzantine failures within a node cluster.
+ * DR, specifically in the case of the complete failure of a site/datacentre/cluster or region will require a different solution to that specified here. For now DR is only supported where performant synchronous replication is feasible i.e. sites only a few miles apart.
+
+## Timeline
+
+This design document outlines a range of topologies which will be enabled through progressive enhancements from the short to long term.
+
+On the timescales available for the current production pilot deployments we clearly do not have time to reach the ideal of a highly fault tolerant, horizontally scaled Corda.
+
+Instead, I suggest that we can only achieve the simplest state of a standby Corda installation only by January 5th and even this is contingent on other enterprise features, such as external database and network map stabilisation being completed on this timescale, plus any issues raised by testing.
+
+For the March 31st timeline, I hope that we can achieve a more fully automatic node failover state, with the Artemis broker running as a cluster too. I include a diagram of a fully scaled Corda for completeness and so that I can discuss what work is re-usable/throw away.
+
+With regards to DR it is unclear how this would work where synchronous replication is not feasible. At this point we can only investigate approaches as an aside to the main thrust of work for HA support. In the synchronous replication mode it is assumed that the file and database replication can be used to ensure a cold DR backup.
+
+## Design Decisions
+
+The following design decisions are assumed by this design:
+
+1. [Near-term-target](./decisions/near-term-target.md): Hot-Cold HA (see below)
+2. [Medium-term target](./decisions/medium-term-target.md): Hot-Warm HA (see below)
+3. [External broker](./decisions/external-broker.md): Yes
+4. [Database message store](./decisions/db-msg-store.md): No
+5. [IP addressing mechanism](./decisions/ip-addressing.md): Load balancer
+6. [Crash shell start/stop](./decisions/crash-shell.md): No
+
+
+
+## Target Solution
+
+
+### Hot-Cold (minimum requirement)
+
+
+Small scale software failures on a node are recovered from locally via restarting/re-setting the offending component by the external (to JVM) "Health Watchdog" (HW) process. The HW process (eg a shell script or similar) would monitor parameters for java processes by periodically query them (sleep period a few seconds). This may require introduction of a few monitoring 'hooks' into Corda codebase or a "health" CorDapp the HW script can interface with. There would be a back-off logic to prevent continues restarts in the case of persistent failure.
+
+We would provide a fully-functional sample HW script for Linux/Unix deployment platforms.
+
+The hot-cold design provides a backup VM and Corda deployment instance that can be manually started if the primary is stopped. The failed primary must be killed to ensure it is fully stopped.
+
+For single-node deployment scenarios the simplest supported way to recover from failures is to re-start the entire set of Corda Node processes or reboot the node OS.
+
+For a 2-node HA deployment scenario a load balancer determines which node is active and routes traffic to that node.
+The load balancer will need to monitor the health of the primary and secondary nodes and automatically route traffic from the public IP address to the only active end-point. An external solution is required for the load balancer and health monitor. In the case of Azure cloud deployments, no custom code needs to be developed to support the health monitor.
+
+An additional component will be written to prevent accidental dual running which is likely to make use of a database heartbeat table. Code size should be minimal.
+
+#### Advantages
+
+- This approach minimises the need for new code so can be deployed quickly.
+- Use of a load balancer in the short term avoids the need for new code and configuration management to support the alternative approach of multiple advertised addresses for a single legal identity.
+- Configuration of the inactive mode should be a simple mirror of the primary.
+- Assumes external monitoring and management of the nodes e.g. ability to identify node failure and that Corda watchdog code will not be required (customer developed).
+
+#### Limitations
+
+- Slow failover as this is manually controlled.
+- Requires external solutions for replication of database and Artemis journal data.
+- Replication mechanism on agent banks with real servers not tested.
+- Replication mechanism on Azure is under test but may prove to be too slow.
+- Compatibility with external load balancers not tested. Only Azure configuration tested.
+- Contingent on completion of database support and testing of replication.
+- Failure of database (loss of connection) may not be supported or may require additional code.
+- RPC clients assumed to make short lived RPC requests e.g. from Rest server so no support for long term clients operating across failover.
+- Replication time point of the database and Artemis message data are independent and may not fully synchronise (may work subject to testing) .
+- Health reporting and process controls need to be developed by the customer.
+
+### Hot-Warm (Medium-term solution)
+
+
+Hot-warm aims to automate failover and provide failover of individual major components e.g. Artemis.
+
+It involves Two key changes to the hot-cold design:
+1) Separation and clustering of the Artemis broker.
+2) Start and stop of flow processing without JVM exit.
+
+The consequences of these changes are that peer to peer bridging is separated from the node and a bridge control protocol must be developed.
+A leader election component is a pre-cursor to load balancing – likely to be a combination of custom code and standard library and, in the short term, is likely to be via the database.
+Cleaner handling of disconnects from the external components (Artemis and the database) will also be needed.
+
+#### Advantages
+
+- Faster failover as no manual intervention.
+- We can use Artemis replication protocol to replicate the message store.
+- The approach is integrated with preliminary steps for the float.
+- Able to handle loss of network connectivity to the database from one node.
+- Extraction of Artemis server allows a more standard Artemis deployment.
+- Provides protection against resource leakage in Artemis or Node from affecting the other component.
+- VMs can be tuned to address different work load patterns of broker and node.
+- Bridge work allows chance to support multiple IP addresses without a load balancer.
+
+#### Limitations
+
+- This approach will require careful testing of resource management on partial shutdown.
+- No horizontal scaling support.
+- Deployment of master and slave may not be completely symmetric.
+- Care must be taken with upgrades to ensure master/slave election operates across updates.
+- Artemis clustering does require a designated master at start-up of its cluster hence any restart involving changing the primary node will require configuration management.
+- The development effort is much more significant than the hot-cold configuration.
+
+### Hot-Hot (Long-term strategic solution)
+
+
+In this configuration, all nodes are actively processing work and share a clustered database. A mechanism for sharding or distributing the work load will need to be developed.
+
+#### Advantages
+
+- Faster failover as flows are picked up by other active nodes.
+- Rapid scaling by adding additional nodes.
+- Node deployment is symmetric.
+- Any broker that can support AMQP can be used.
+- RPC can gracefully handle failover because responsibility for the flow can be migrated across nodes without the client being aware.
+
+#### Limitations
+
+- Very significant work with many edge cases during failure.
+- Will require handling of more states than just checkpoints e.g. soft locks and RPC subscriptions.
+- Single flows will not be active on multiple nodes without future development work.
+
+--------------------------------------------
+IMPLEMENTATION PLAN
+============================================
+
+## Transitioning from Corda 2.0 to Manually Activated HA
+
+The current Corda is built to run as a fully contained single process with the Flow logic, H2 database and Artemis broker all bundled together. This limits the options for automatic replication, or subsystem failure. Thus, we must use external mechanisms to replicate the data in the case of failure. We also should ensure that accidental dual start is not possible in case of mistakes, or slow shutdown of the primary.
+
+Based on this situation, I suggest the following minimum development tasks are required for a tested HA deployment:
+
+1. Complete and merge JDBC support for an external clustered database. Azure SQL Server has been identified as the most likely initial deployment. With this we should be able to point at an HA database instance for Ledger and Checkpoint data.
+2. I am suggesting that for the near term we just use the Azure Load Balancer to hide the multiple machine addresses. This does require allowing a health monitoring link to the Artemis broker, but so far testing indicates that this operates without issue. Longer term we need to ensure that the network map and configuration support exists for the system to work with multiple TCP/IP endpoints advertised to external nodes. Ideally this should be rolled into the work for AMQP bridges and Floats.
+3. Implement a very simple mutual exclusion feature, so that an enterprise node cannot start if another is running onto the same database. This can be via a simple heartbeat update in the database, or possibly some other library. This feature should be enabled only when specified by configuration.
+4. The replication of the Artemis Message Queues will have to be via an external mechanism. On Azure we believe that the only practical solution is the 'Azure Files' approach which maps a virtual Samba drive. This we are testing in-case it is too slow to work. The mounting of separate Data Disks is possible, but they can only be mounted to one VM at a time, so they would not be compatible with the goal of no change requests for HA.
+5. Improve health monitoring to better indicate fault failure. Extending the existing JMX and logging support should achieve this, although we probably need to create watchdog CordApp that verifies that the State Machine and Artemis messaging are able to process new work and to monitor flow latency.
+6. Test the checkpointing mechanism and confirm that failures don't corrupt the data by deploying an HA setup on Azure and driving flows through the system as we stop the node randomly and switch to the other node. If this reveals any issues we will have to fix them.
+7. Confirm that the behaviour of the RPC Client API is stable through these restarts, from the perspective of a stateless REST server calling through to RPC. The RPC API should provide positive feedback to the application, so that it can respond in a controlled fashion when disconnected.
+8. Work on flow hospital tools where needed
+
+## Moving Towards Automatic Failover HA
+
+To move towards more automatic failover handling we need to ensure that the node can be partially active i.e. live monitoring the health status and perhaps keeping major data structures in sync for faster activation, but not actually processing flows. This needs to be reversible without leakage, or destabilising the node as it is common to use manually driven master changes to help with software upgrades and to carry out regular node shutdown and maintenance. Also, to reduce the risks associated with the uncoupled replication of the Artemis message data and the database I would recommend that we move the Artemis broker out of the node to allow us to create a failover cluster. This is also in line with the goal of creating a AMQP bridges and Floats.
+
+To this end I would suggest packages of work that include:
+
+1. Move the broker out of the node, which will require having a protocol that can be used to signal bridge creation and which decouples the network map. This is in line with the Flow work anyway.
+2. Create a mastering solution, probably using Atomix.IO although this might require a solution with a minimum of three nodes to avoid split brain issues. Ideally this service should be extensible in the future to lead towards an eventual state with Flow level sharding. Alternatively, we may be able to add a quick enterprise adaptor to ZooKeeper as master selector if time is tight. This will inevitably impact upon configuration and deployment support.
+3. Test the leakage when we repeated start-stop the Node class and fix any resource leaks, or deadlocks that occur at shutdown.
+4. Switch the Artemis client code to be able to use the HA mode connection type and thus take advantage of the rapid failover code. Also, ensure that we can support multiple public IP addresses reported in the network map.
+5. Implement proper detection and handling of disconnect from the external database and/or Artemis broker, which should immediately drop the master status of the node and flush any incomplete flows.
+6. We should start looking at how to make RPC proxies recover from disconnect/failover, although this is probably not a top priority. However, it would be good to capture the missed results of completed flows and ensure the API allows clients to unregister/re-register Observables.
+
+## The Future
+
+Hopefully, most of the work from the automatic failover mode can be modified when we move to a full hot-hot sharding of flows across nodes. The mastering solution will need to be modified to negotiate finer grained claim on individual flows, rather than stopping the whole of Node. Also, the routing of messages will have to be thought about so that they go to the correct node for processing, but failover if the node dies. However, most of the other health monitoring and operational aspects should be reusable.
+
+We also need to look at DR issues and in particular how we might handle asynchronous replication and possibly alternative recovery/reconciliation mechanisms.
From 3a80cdfb68bb6a44fd74bd444f049d394b8971e2 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 16:42:06 +0200
Subject: [PATCH 21/25] Docs: Import kafka notary design doc.
---
.../kafkaNotary/decisions/index-storage.md | 41 ++++
.../decisions/replicated-storage.md | 117 +++++++++
docs/source/design/kafkaNotary/design.md | 227 ++++++++++++++++++
.../design/kafkaNotary/images/high-level.svg | 1 +
.../kafkaNotary/images/kafka-high-level.svg | 1 +
.../design/kafkaNotary/images/steps.svg | 1 +
.../kafkaNotary/images/store-comparison.png | Bin 0 -> 40994 bytes
7 files changed, 388 insertions(+)
create mode 100644 docs/source/design/kafkaNotary/decisions/index-storage.md
create mode 100644 docs/source/design/kafkaNotary/decisions/replicated-storage.md
create mode 100644 docs/source/design/kafkaNotary/design.md
create mode 100644 docs/source/design/kafkaNotary/images/high-level.svg
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diff --git a/docs/source/design/kafkaNotary/decisions/index-storage.md b/docs/source/design/kafkaNotary/decisions/index-storage.md
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+
+
+--------------------------------------------
+Design Decision: Storage engine for committed state index
+============================================
+
+## Background / Context
+
+The storage engine for the committed state index needs to support a single operation: "insert all values with unique keys, or abort if any key conflict found". A wide range of solutions could be used for that, from embedded key-value stores to full-fledged relational databases. However, since we don't need any extra features a RDBMS provides over a simple key-value store, we'll only consider lightweight embedded solutions to avoid extra operational costs.
+
+Most RDBMSs are also generally optimised for read performance (use B-tree based storage engines like InnoDB, MyISAM). Our workload is write-heavy and uses "random" primary keys (state references), which leads to particularly poor write performance for those types of engines – as we have seen with our Galera-based notary service. One exception is the MyRocks storage engine, which is based on RocksDB and can handle write workloads well, and is supported by Percona Server, and MariaDB. It is easier, however, to just use RocksDB directly.
+
+## Options Analysis
+
+### A. RocksDB
+
+An embedded key-value store based on log-structured merge-trees (LSM). It's highly configurable, provides lots of configuration options for performance tuning. E.g. can be tuned to run on different hardware – flash, hard disks or entirely in-memory.
+
+### B. LMDB
+
+An embedded key-value store using B+ trees, has ACID semantics and support for transactions.
+
+### C. MapDB
+
+An embedded Java database engine, providing persistent collection implementations. Uses memory mapped files. Simple to use, implements Java collection interfaces. Provides a HashMap implementation that we can use for storing committed states.
+
+### D. MVStore
+
+An embedded log structured key-value store. Provides a simple persistent map abstraction. Supports multiple map implementations (B-tree, R-tree, concurrent B-tree).
+
+## Recommendation and justification
+
+Performance test results when running on a Macbook Pro with Intel Core i7-4980HQ CPU @ 2.80GHz, 16 GB RAM, SSD:
+
+
+
+Multiple tests were run with varying number of transactions and input states per transaction: "1m x 1" denotes a million transactions with one input state.
+
+Proceed with Option A, as RocksDB provides most tuning options and achieves by far the best write performance.
+
+Note that the index storage engine can be replaced in the future with minimal changes required on the notary service.
\ No newline at end of file
diff --git a/docs/source/design/kafkaNotary/decisions/replicated-storage.md b/docs/source/design/kafkaNotary/decisions/replicated-storage.md
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+
+
+--------------------------------------------
+Design Decision: Replication framework
+================================
+
+## Background / Context
+
+Multiple libraries/platforms exist for implementing fault-tolerant systems. In existing CFT notary implementations we experimented with using a traditional relational database with active replication, as well as a pure state machine replication approach based on CFT consensus algorithms.
+
+## Options Analysis
+
+### A. Atomix
+
+*Raft-based fault-tolerant distributed coordination framework.*
+
+Our first CFT notary notary implementation was based on Atomix. Atomix can be easily embedded into a Corda node and provides abstractions for implementing custom replicated state machines. In our case the state machine manages committed Corda contract states. When notarisation requests are sent to Atomix, they get forwarded to the leader node. The leader persists the request to a log, and replicates it to all followers. Once the majority of followers acknowledge receipt, it applies the request to the user-defined state machine. In our case we commit all input states in the request to a JDBC-backed map, or return an error if conflicts occur.
+
+#### Advantages
+
+1. Lightweight, easy to integrate – embeds into Corda node.
+2. Uses Raft for replication – simpler and requires less code than other algorithms like Paxos.
+
+#### Disadvantages
+
+1. Not designed for storing large datasets. State is expected to be maintained in memory only. On restart, each replica re-reads the entire command log to reconstruct the state. This behaviour is not configurable and would require code changes.
+2. Does not support batching, not optimised for performance.
+3. Since version 2.0, only supports snapshot replication. This means that each replica has to periodically dump the entire commit log to disk, and replicas that fall behind have to download the _entire_ snapshot.
+4. Limited tooling.
+
+### B. Permazen
+
+*Java persistence layer with a built-in Raft-based replicated key-value store.*
+
+Conceptually similar to Atomix, but persists the state machine instead of the request log. Built around an abstract persistent key-value store: requests get cleaned up after replication and processing.
+
+#### Advantages
+
+1. Lightweight, easy to integrate – embeds into Corda node.
+2. Uses Raft for replication – simpler and requires less code than other algorithms like Paxos.
+3. Built around a (optionally) persistent key-value store – supports large datasets.
+
+#### Disadvantages
+
+1. Maintained by a single developer, used by a single company in production. Code quality and documentation looks to be of a high standard though.
+2. Not tested with large datasets.
+3. Designed for read-write-delete workloads. Replicas that fall behind too much will have to download the entire state snapshot (similar to Atomix).
+4. Does not support batching, not optimised for performance.
+5. Limited tooling.
+
+### C. Apache Kafka
+
+*Paxos-based distributed streaming platform.*
+
+Atomix and Permazen implement both the replicated request log and the state machine, but Kafka only provides the log component. In theory that means more complexity having to implement request log processing and state machine management, but for our use case it's fairly straightforward: consume requests and insert input states into a database, marking the position of the last processed request. If the database is lost, we can just replay the log from the beginning. The main benefit of this approach is that it gives a more granular control and performance tuning opportunities in different parts of the system.
+
+#### Advantages
+
+1. Stable – used in production for many years.
+2. Optimised for performance. Provides multiple configuration options for performance tuning.
+3. Designed for managing large datasets (performance not affected by dataset size).
+
+#### Disadvantages
+
+1. Relatively complex to set up and operate, requires a Zookeeper cluster. Note that some hosting providers offer Kafka as-a-service (e.g. Confluent Cloud), so we could delegate the setup and management.
+2. Dictates a more complex notary service architecture.
+
+### D. Custom Raft-based implementation
+
+For even more granular control, we could replace Kafka with our own replicated log implementation. Kafka was started before the Raft consensus algorithm was introduced, and is using Zookeeper for coordination, which is based on Paxos for consensus. Paxos is known to be complex to understand and implement, and the main driver behind Raft was to create a much simpler algorithm with equivalent functionality. Hence, while reimplementing Zookeeper would be an onerous task, building a Raft-based alternative from scratch is somewhat feasible.
+
+#### Advantages
+
+Most of the implementations above have many extra features our use-case does not require. We can implement a relatively simple clean optimised solution that will most likely outperform others (Thomas Schroeter already built a prototype).
+
+#### Disadvantages
+
+Large effort required to make it highly performant and reliable.
+
+### E. Galera
+
+*Synchronous replication plugin for MySQL, uses certification-based replication.*
+
+All of the options discussed so far were based on abstract state machine replication. Another approach is simply using a more traditional RDBMS with active replication support. Note that most relational databases support some form replication in general, however, very few provide strong consistency guarantees and ensure no data loss. Galera is a plugin for MySQL enabling synchronous multi-master replication.
+
+Galera uses certification-based replication, which operates on write-sets: a database server executes the (database) transaction, and only performs replication if the transaction requires write operations. If it does, the transaction is broadcasted to all other servers (using atomic broadcast). On delivery, each server executes a deterministic certification phase, which decides if the transaction can commit or must abort. If a conflict occurs, the entire cluster rolls back the transaction. This type of technique is quite efficient in low-conflict situations and allows read scaling (the latter is mostly irrelevant for our use case).
+
+#### Advantages
+
+1. Very little code required on Corda side to implement.
+2. Stable – used in production for many years.
+3. Large tooling and support ecosystem.
+
+#### Disadvantages
+
+1. Certification-based replication is based on database transactions. A replication round is performed on every transaction commit, and batching is not supported. To improve performance, we need to combine the committing of multiple Corda transactions into a single database transaction, which gets complicated when conflicts occur.
+2. Only supports the InnoDB storage engine, which is based on B-trees. It works well for reads, but performs _very_ poorly on write-intensive workloads with "random" primary keys. In tests we were only able to achieve up to 60 TPS throughput. Moreover, the performance steadily drops with more data added.
+
+### F. CockroachDB
+
+*Distributed SQL database built on a transactional and strongly-consistent key-value store. Uses Raft-based replication.*
+
+On paper, CockroachDB looks like a great candidate, but it relies on sharding: data is automatically split into partitions, and each partition is replicated using Raft. It performs great for single-shard database transactions, and also natively supports cross-shard atomic commits. However, the majority of Corda transactions are likely to have more than one input state, which means that most transaction commits will require cross-shard database transactions. In our tests we were only able to achieve up to 30 TPS in a 3 DC deployment.
+
+#### Advantages
+
+1. Scales very well horizontally by sharding data.
+2. Easy to set up and operate.
+
+#### Disadvantages
+
+1. Cross-shard atomic commits are slow. Since we expect most transactions to contain more than one input state, each transaction commit will very likely span multiple shards.
+2. Fairly new, limited use in production so far.
+
+## Recommendation and justification
+
+Proceed with Option C. A Kafka-based solution strikes the best balance between performance and the required effort to build a production-ready solution.
\ No newline at end of file
diff --git a/docs/source/design/kafkaNotary/design.md b/docs/source/design/kafkaNotary/design.md
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index 0000000000..46f40d5da8
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+
+
+# High Performance CFT Notary Service
+
+DOCUMENT MANAGEMENT
+---
+
+## Document Control
+
+| Title | High Performance CFT Notary Service |
+| -------------------- | ------------------------------------------------------------ |
+| Date | 27 March 2018 |
+| Author | Andrius Dagys, Thomas Schroeter |
+| Distribution | Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery |
+| Corda target version | Enterprise |
+| JIRA reference | https://r3-cev.atlassian.net/browse/CID-294 |
+
+## Approvals
+
+#### Document Sign-off
+
+| Author | Andrius Dagys |
+| ----------------- | -------------------------------------------------- |
+| Reviewer(s) | (GitHub PR reviewers) |
+| Final approver(s) | (GitHub PR approver(s) from Design Approval Board) |
+
+#### Design Decisions
+
+| Description | Recommendation | Approval |
+| ---------------------------------------- | --------------- | ----------------------- |
+| [Replication framework](decisions/replicated-storage.md) | Option C | (Design Approval Board) |
+| [Index storage engine](decisions/index-storage.md) | Option A |(Design Approval Board) |
+
+HIGH LEVEL DESIGN
+---
+
+## Overview
+
+This proposal describes the architecture and an implementation for a high performance crash fault-tolerant notary service, operated by a single party.
+
+## Background
+
+For initial deployments, we expect to operate a single non-validating CFT notary service. The current Raft and Galera implementations cannot handle more than 100-200 TPS, which is likely to be a serious bottleneck in the near future. To support our clients and compete with other platforms we need a notary service that can handle TPS in the order of 1,000s.
+
+## Scope
+
+Goals:
+
+- A CFT non-validating notary service that can handle more than 1,000 TPS. Stretch goal: 10,000 TPS.
+- Disaster recovery strategy and tooling.
+- Deployment strategy.
+
+Out-of-scope:
+
+- Validating notary service.
+- Byzantine fault-tolerance.
+
+## Timeline
+
+No strict delivery timeline requirements, depends on client throughput needs. Estimated delivery by end of Q3 2018.
+
+## Requirements
+
+The notary service should be able to:
+
+- Notarise more than 1,000 transactions per second, with average 4 inputs per transaction.
+- Notarise a single transaction within 1s (from the service perspective).
+- Tolerate single node crash without affecting service availability.
+- Tolerate single datacenter failure.
+- Tolerate single disk failure/corruption.
+
+## Target Solution
+
+Having explored different solutions for implementing notaries we propose the following architecture for a CFT notary, consisting of two components:
+
+1. A central replicated request log, which orders and stores all notarisation requests. Efficient append-only log storage can be used along with batched replication, making performance mainly dependent on network throughput.
+2. Worker nodes that service clients and maintain a consumed state index. The state index is a simple key-value store containing committed state references and pointers to the corresponding request positions in the log. If lost, it can be reconstructed by replaying and applying request log entries. There is a range of fast key-value stores that can be used for implementation.
+
+
+
+At high level, client notarisation requests first get forwarded to a central replicated request log. The requests are then applied in order to the consumed state index in each worker to verify input state uniqueness. Each individual request outcome (success/conflict) is then sent back to the initiating client by the worker responsible for it. To emphasise, each worker will process _all_ notarisation requests, but only respond to the ones it received directly.
+
+Messages (requests) in the request log are persisted and retained forever. The state index has a relatively low footprint and can in theory be kept entirely in memory. However, when a worker crashes, replaying the log to recover the index may take too long depending on the SLAs. Additionally, we expect applying the requests to the index to be much faster than consuming request batches even with persistence enabled.
+
+_Technically_, the request log can also be kept entirely in memory, and the cluster will still be able to tolerate up to $f < n/2$ node failures. However, if for some reason the entire cluster is shut down (e.g. administrator error), all requests will be forever lost! Therefore, we should avoid it.
+
+The request log does not need to be a separate cluster, and the worker nodes _could_ maintain the request log replicas locally. This would allow workers to consume ordered requests from the local copy rather than from a leader node across the network. It is hard to say, however, if this would have a significant performance impact without performing tests in the specific network environment (e.g. the bottleneck could be the replication step).
+
+One advantage of hosting the request log in a separate cluster is that it makes it easier to independently scale the number of worker nodes. If, for example, if transaction validation and resolution is required when receiving a notarisation request, we might find that a significant number of receivers is required to generate enough incoming traffic to the request log. On the flipside, increasing the number of workers adds additional consumers and load on the request log, so a balance needs to be found.
+
+## Design Decisions
+
+As the design decision documents below discuss, the most suitable platform for managing the request log was chosen to be [Apache Kafka](https://kafka.apache.org/), and [RocksDB](http://rocksdb.org/) as the storage engine for the committed state index.
+
+| Heading | Recommendation |
+| ---------------------------------------- | -------------- |
+| [Replication framework](decisions/replicated_storage.md) | Option C |
+| [Index storage engine](decisions/index-storage.md) | Option A |
+
+TECHNICAL DESIGN
+---
+
+## Functional
+
+A Kafka-based notary service does not deviate much from the high-level target solution architecture as described above.
+
+
+
+For our purposes we can view Kafka as a replicated durable queue we can push messages (_records_) to and consume from. Consuming a record just increments the consumer's position pointer, and does not delete it. Old records eventually expire and get cleaned up, but the expiry time can be set to "indefinite" so all data is retained (it's a supported use-case).
+
+The main caveat is that Kafka does not allow consuming records from replicas directly – all communication has to be routed via a single leader node.
+
+In Kafka, logical queues are called _topics_. Each topic can be split into multiple partitions. Topics are assigned a _replication factor_, which specifies how many replicas Kafka should create for each partition. Each replicated partition has an assigned leader node which producers and consumers can connect to. Partitioning topics and evenly distributing partition leadership allows Kafka to scale well horizontally.
+
+In our use-case, however, we can only use a single-partition topic for notarisation requests, which limits the total capacity and throughput to a single machine. Partitioning requests would break global transaction ordering guarantees for consumers. There is a [proposal](#kafka-throughput-scaling-via-partitioning) from Rick Parker on how we _could_ use partitioning to potentially avoid traffic contention on the single leader node.
+
+### Data model
+
+Each record stored in the Kafka topic contains:
+1. Transaction Id
+2. List of input state references
+2. Requesting party X.500 name
+3. Notarisation request signature
+
+The committed state index contains a map of:
+
+`Input state reference: StateRef -> ( Transaction Id: SecureHash, Kafka record position: Long )`
+
+It also stores a special key-value pair denoting the position of the last applied Kafka record.
+
+## Non-Functional
+
+### Fault tolerance, durability and consistency guarantees
+
+Let's have a closer look at what exactly happens when a client sends a notarisation request to a notary worker node.
+
+
+
+A small note on terminology: the "notary service" we refer to in this section is the internal long-running service in the Corda node.
+
+1. Client sends a notarisation request to the chosen Worker node. The load balancing is handled on the client by Artemis (round-robin).
+2. Worker acknowledges receipt and starts the service flow. The flow validates the request: verifies the transaction if needed, validates timestamp and notarisation request signature. The flow then forwards the request to the notary service, and suspends waiting for a response.
+3. The notary service wraps the request in a Kafka record and sends it to the global log via a Kafka producer. The sends are asynchronous from the service's perspective, and the producer is configured to buffer records and perform sends in batches.
+4. The Kafka leader node responsible for the topic partition replicates the received records to followers. The producer also specifies "ack" settings, which control when the records are considered to be committed. Only committed records are available for consumers. Using the "all" setting ensures that the records are persisted all replicas before it is available for consumption. **This ensures that no worker will consume a record that may later be lost if the Kafka leader crashes**.
+7. The notary service maintains a separate thread that continuously attempts to pull new available batches of records from the Kafka leader node. It processes the received batches of notarisation requests – commits input states to a local persistent key-value store. Once a batch is processed, the last record position in the Kafka partition is also persisted locally. On restart, the consumption of records is started from the last recorded position.
+9. Kafka also tracks consumer positions in Zookeeper, and provides the ability for consumers to commit the last consumed position either synchronously, or asynchronously. Since we don't require exactly once delivery semantics, we opt for asynchronous position commits for performance reasons.
+10. Once notarisation requests are processed, the notary service matches them against ones received by this particular worker node, and resumes the flows to send responses back to the clients.
+
+Now let's consider the possible failure scenarios and how they are handled:
+* 2: Worker fails to acknowledge request. The Artemis broker on the client will redirect the message to a different worker node.
+* 3: Worker fails right after acknowledging the request, nothing is sent to the Kafka request log. Without some heartbeat mechanism the client can't know if the worker has failed, or the request is simply taking a long time to process. For this reason clients have special logic to retry notarisation requests with different workers, if a response is not received before a specified timeout.
+* 4: Kafka leader fails before replicating records. The producer does not receive an ack and the batch send fails. A new leader is elected and all producers and consumers switch to it. The producer retries sending with the new leader (it has to be configured to auto-retry). The lost records were not considered to be committed and therefore not made available for any consumers. Even if the producer did not re-send the batch to the new leader, client retries would fire and the requests would be reinserted into the "pipeline".
+* 7: The worker fails after sending out a batch of requests. The requests will be replicated and processed by other worker nodes. However, other workers will not send back replies to clients that the failed worker was responsible for.
+ The client will retry with another worker. That worker will have already processed the same request, and committing the input states will result in a conflict. Since the conflict is caused by the same Corda transaction, it will ignore it and send back a successful response.
+* 8: The worker fails right after consuming a record batch. The consumer position is not recorded anywhere so it would re-consume the batch once it's back up again.
+* 9: The worker fails right after committing input states, but before recording last processed record position. On restart, it will re-consume the last batch of requests it had already processed. Committing input states is idempotent so re-processing the same request will succeed. Committing the consumer position to Kafka is strictly speaking not needed in our case, since we maintain it locally and manually "rewind" the partition to the last processed position on startup.
+* 10: The worker fails just before sending back a response. The client will retry with another worker.
+
+The above discussion only considers crash failures which don't lead to data loss. What happens if the crash also results in disk corruption/failure?
+* If a Kafka leader node fails and loses all data, the machine can be re-provisioned, the Kafka node will reconnect to the cluster and automatically synchronise all data from one of the replicas. It can only become a leader again once it fully catches up.
+* If a worker node fails and loses all data, it can replay the Kafka partition from the beginning to reconstruct the committed state index. To speed this up, periodical backups can be taken so the index can be restored from a more recent snapshot.
+
+One open question is flow handling on the worker node. If notary service flow is checkpointed and the worker crashes while the flow is suspended and waiting for a response (the completion of a future), on restart the flow will re-issue the request to the notary service. The service will in turn forward it to the request log (Kafka) for processing. If the worker node was down long enough for the client to retry the request with a different worker, a single notarisation request will get processed 3 times.
+
+If the notary service flow is not checkpointed, the request won't be re-issued after restart, resulting in it being processed only twice. However, in the latter case, the client will need to wait for the entire duration until the timeout expires, and if the worker is down for only a couple of seconds, the first approach would result in a much faster response time.
+
+### Performance
+
+Kafka provides various configuration parameters allowing to control producer and consumer record batch size, compression, buffer size, ack synchrony and other aspects. There are also guidelines on optimal filesystem setup.
+
+RocksDB is highly tunable as well, providing different table format implementations, compression, bloom filters, compaction styles, and others.
+
+Initial prototype tests showed up to *15,000* TPS for single-input state transactions, or *40,000* IPS (inputs/sec) for 1,000 input transactions. No performance drop observed even after 1.2m transactions were notarised. The tests were run on three 8 core, 28 GB RAM Azure VMs in separate datacenters.
+
+With the recent introduction of notarisation request signatures the figures are likely to be much lower, as the request payload size is increased significantly. More tuning and testing required.
+
+### Scalability
+
+Not possible to scale beyond peak single machine throughput. Possible to scale the number of worker nodes for transactions verification and signing.
+
+## Operational
+
+As a general note, Kafka and Zookeeper are widely used in the industry and there are plenty of deployment guidelines and management tools available.
+
+### Deployment
+
+Different options available. A singe Kafka broker, Zookeeper replica and a Corda notary worker node can be hosted on the same machine for simplicity and cost-saving. At the other extreme, every Kafka/Zookeeper/Corda node can be hosted on its own machine. The latter arguably provides more room for error, at the expense of extra operational costs and effort.
+
+### Management
+
+Kafka provides command-line tools for managing brokers and topics. Third party UI-based tools are also available.
+
+### Monitoring
+
+Kafka exports a wide range of metrics via JMX. Datadog integration available.
+
+### Disaster recovery
+
+Failure modes:
+1. **Single machine or datacenter failure**. No backup/restore procedures are needed – nodes can catch up with the cluster on start. The RocksDB-backed committed state index keeps a pointer to the position of the last applied Kafka record, and it can resume where it left after restart.
+2. **Multi-datacenter disaster leading to data loss**. Out of scope.
+3. **User error**. It is possible for an admin to accidentally delete a topic – Kafka provides tools for that. However, topic deletion has to be explicitly enabled in the configuration (disabled by default). Keeping that option disabled should be a sufficient safeguard.
+4. **Protocol-level corruption**. This covers scenarios when data stored in Kafka gets corrupted and the corruption is replicated to healthy replicas. In general, this is extremely unlikely to happen since Kafka records are immutable. The only such corruption in practical sense could happen due to record deletion during compaction, which would occur if the broker is misconfigured to not retrain records indefinitely. However, compaction is performed asynchronously and local to the broker. In order for all data to be lost, _all_ brokers have to be misconfigured.
+
+It is not possible to recover without any data loss in the event of 3 or 4. We can only _minimise_ data loss. There are two options:
+1. Run a backup Kafka cluster. Kafka provides a tool that forwards messages from one cluster to another (asynchronously).
+2. Take periodical physical backups of the Kafka topic.
+
+In both scenarios the most recent requests will be lost. If data loss only occurs in Kafka, and the worker committed state indexes are intact, the notary could still function correctly and prevent double-spends of the transactions that were lost. However, in the non-validating notary scenario, the notarisation request signature and caller identity will be lost, and it will be impossible to trace the submitter of a fraudulent transaction. We could argue that the likelihood of request loss _and_ malicious transactions occurring at the same time is very low.
+
+## Security
+
+* **Communication**. Kafka supports SSL for both client-to-server and server-to-server communication. However, Zookeeper only supports SSL in client-to-server, which means that running Zookeeper across datacenters will require setting up a VPN. For simplicity, we can reuse the same VPN for the Kafka cluster as well. The notary worker nodes can talk to Kafka either via SSL or the VPN.
+
+* **Data privacy**. No transaction contents or PII is revealed or stored.
+
+APPENDICES
+---
+
+## Kafka throughput scaling via partitioning
+
+We have to use a single partition for global transaction ordering guarantees, but we could reduce the load on it by using it _just_ for ordering:
+
+* Have a single-partition `transactions` topic where all worker nodes send only the transaction id.
+* Have a separate _partitioned_ `payload` topic where workers send the entire notarisation request content: transaction id, inputs states, request signature. A single request can be around 1KB in size).
+
+Workers would need to consume from the `transactions` partition to obtain the ordering, and from all `payload` partitions for the actual notarisation requests. A request will not be processed until its global order is known. Since Kafka tries to distribute leaders for different partitions evenly across the cluster, we would avoid a single Kafka broker handling all of the traffic. Load-wise, nothing changes from the worker node's perspective – it still has to process all requests – but a larger number of worker nodes could be supported.
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From c7bfc8f655a6f1159f4b9f809fadf4c28218f6bc Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 17:01:06 +0200
Subject: [PATCH 22/25] Docs: import monitoring and management
---
.../MonitoringLoggingOverview.png | Bin 0 -> 64265 bytes
.../design/monitoring_management/design.md | 540 ++++++++++++++++++
2 files changed, 540 insertions(+)
create mode 100644 docs/source/design/monitoring_management/MonitoringLoggingOverview.png
create mode 100644 docs/source/design/monitoring_management/design.md
diff --git a/docs/source/design/monitoring_management/MonitoringLoggingOverview.png b/docs/source/design/monitoring_management/MonitoringLoggingOverview.png
new file mode 100644
index 0000000000000000000000000000000000000000..768507853c50d56f61b63b89ed6c3542c221237f
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diff --git a/docs/source/design/monitoring_management/design.md b/docs/source/design/monitoring_management/design.md
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+
+
+# Monitoring and Logging Design
+
+DOCUMENT MANAGEMENT
+---
+
+## Document Control
+
+| Title | Monitoring and Logging |
+| -------------------- | ---------------------------------------- |
+| Date | 20th November 2017 |
+| Author | Jose Coll |
+| Distribution | Design Approval Board, DevOps, Platform Development (Data Deployment) |
+| Corda target version | Enterprise (primarily) |
+| JIRA reference | https://r3-cev.atlassian.net/browse/ENT-1109 |
+
+## Approvals
+
+#### Document Sign-off
+
+| Author | Jose Coll |
+| ----------------- | ---------------------------------------- |
+| Reviewer(s) | DevOps, Product Management, Platform Development (Data Deployment) |
+| Final approver(s) | Design Approval Board (DAB) |
+
+#### Design Decisions
+
+| Description | Recommendation | Approval |
+| ---------------------------------------- | -------------- | -------- |
+| JMX for Eventing, SLF4J for Logging | JMX, SLF4J | |
+| Continue or discontinue usage of Jolokia? | TBC | |
+| Separation of Corda Node and CorDapp log outputs | TBC | |
+
+## Document History
+
+To be managed by GitHub revision control.
+
+HIGH LEVEL DESIGN
+---
+
+## Overview
+
+The successful deployment and operation of Corda (and associated CorDapps) in a Production environment requires a supporting monitoring and management capability to ensure that both a Corda node (and its supporting middleware infrastructure) and deployed CorDapps execute in a functionally correct and consistent manner. A pro-active monitoring solution will enable the immediate alerting of unexpected behaviours and associated management tooling should enable swift corrective action.
+
+This design defines the monitoring metrics and logging outputs, and associated implementation approach, required to enable a proactive enterprise management and monitoring solution of Corda nodes and their associated CorDapps. This also includes a set of "liveliness" checks to verify and validate correct functioning of a Corda node (and associated CorDapp).
+
+
+
+In the above diagram, the left handside dotted box represents the components within scope for this design. It is anticipated that 3rd party enterprise-wide system management solutions will closely follow the architectural component breakdown in the right handside box, and thus seamlessly integrate with the proposed Corda event generation and logging design. The interface between the two is de-coupled and based on textual log file parsing and adoption of industry standard JMX MBean events.
+
+## Background
+
+Corda currently exposes several forms of monitorable content:
+
+* Application log files using the [SLF4J](https://www.slf4j.org/) (Simple Logging Facade for Java) which provides an abstraction over various concrete logging frameworks (several of which are used within other Corda dependent 3rd party libraries). Corda itself uses the [Apache Log4j 2](https://logging.apache.org/log4j/2.x/) framework for logging output to a set of configured loggers (to include a rolling file appender and the console). Currently the same set of rolling log files are used by both the node and CorDapp(s) deployed to the node. The log file policy specifies a 60 day rolling period (but preserving the most recent 10Gb) with a maximum of 10 log files per day.
+
+* Industry standard exposed JMX-based metrics, both standard JVM and custom application metrics are exposed directly using the [Dropwizard.io](http://metrics.dropwizard.io/3.2.3/) *JmxReporter* facility. In addition Corda also uses the [Jolokia](https://jolokia.org/) framework to make these accesible over an HTTP endpoint. Typically, these metrics are also collated by 3rd party tools to provide pro-active monitoring, visualisation and re-active management.
+
+ A full list of currently exposed metrics can be found in the appendix A.
+
+The Corda flow framework also has *placeholder* support for recording additional Audit data in application flows using a simple *AuditService*. Audit event types are currently loosely defined and data is stored in string form (as a description and contextual map of name-value pairs) together with a timestamp and principal name. This service does not currently have an implementation of the audit event data to a persistent store.
+
+The `ProgressTracker` component is used to report the progress of a flow throughout its business lifecycle, and is typically configured to report the start of a specific business workflow step (often before and after message send and receipt where other participants form part of a multi-staged business workflow). The progress tracking framework was designed to become a vital part of how exceptions, errors, and other faults are surfaced to human operators for investigation and resolution. It provides a means of exporting progress as a hierachy of steps in a way that’s both human readable and machine readable.
+
+In addition, in-house Corda networks at R3 use the following tools:
+
+* Standard [DataDog](https://docs.datadoghq.com/guides/overview/) probes are currently used to provide e-mail based alerting for running Corda nodes. [Telegraf](https://github.com/influxdata/telegraf) is used in conjunction with a [Jolokia agent](https://jolokia.org/agent.html) as a collector to parse emitted metric data and push these to DataDog.
+* Investigation is underway to evaluate [ELK](https://logz.io/learn/complete-guide-elk-stack/) as a mechanism for parsing, indexing, storing, searching, and visualising log file data.
+
+## Scope
+
+#### Goals
+
+- Add new metrics at the level of a Corda node, individual CorDapps, and other supporting Corda components (float, bridge manager, doorman)
+- Support liveness checking of the node, deployed flows and services
+- Review logging groups and severities in the node.
+- Separate application logging from node logging.
+- Implement the audit framework that is currently only a stubbed out API
+- Ensure that Corda can be used with third party systems for monitoring, log collection and audit
+
+#### Out of scope
+
+- Recommendation of a specific set of monitoring tools.
+- Monitoring of network infrastructure like the network map service.
+- Monitoring of liveness of peers.
+
+#### Reference(s) to similar work
+
+* [Flow Audit Logging and Management Design](https://r3-cev.atlassian.net/wiki/spaces/AR/pages/127180188/Flow+Audit+Logging+and+Management+Design) - this proposal from April 17 also includes a prototype specification of an [Audit API](https://github.com/corda/corda/pull/620).
+* [Corda Support - Monitoring Requirements Guide](https://r3-cev.atlassian.net/wiki/spaces/CCD/pages/131398183/Support+Team+Monitoring+Requirements?preview=/131398183/131398332/monitoring_requirements.v1.0.docx)
+
+## Requirements
+
+Expanding on the first goal identified above, the following requirements have been identified:
+
+1. Node health
+ - Message queues: latency, number of queues/messages, backlog, bridging establishment and connectivity (success / failure)
+ - Database: connections (retries, errors), latency, query time
+ - RPC metrics, latency, authentication/authorisation checking (eg. number of successful / failed attempts).
+ - Signing performance (eg. signatures per sec).
+ - Deployed CorDapps
+ - Garbage collector and JVM statistics
+
+2. CorDapp health
+ - Number of flows broken down by type (including flow status and aging statistics: oldest, latest)
+ - Flow durations
+ - JDBC connections, latency/histograms
+
+3. Logging
+ - RPC logging
+ - Shell logging (user/command pairs)
+ - Message queue
+ - Traces
+ - Exception logging (including full stack traces)
+ - Crash dumps (full stack traces)
+ - Hardware Security Module (HSM) events.
+ - per CorDapp logging
+
+4. Auditing
+
+ - Security: login authentication and authorisation
+ - Business Event flow progress tracking
+ - System events (particularly failures)
+
+ Audit data should be stored in a secure, storage medium.
+ Audit data should include sufficient contextual information to enable optimal off-line analysis.
+ Auditing should apply to all Corda node processes (running CorDapps, notaries, oracles).
+
+#### Use Cases
+
+It is envisaged that operational management and support teams will use the metrics and information collated from this design, either directly or through an integrated enterprise-wide systems management platform, to perform the following:
+
+- Validate liveness and correctness of Corda nodes and deployed CorDapps, and the physical machine or VM they are hosted on.
+
+* Use logging to troubleshoot operational failures (in conjunction with other supporting failure information: eg. GC logs, stack traces)
+* Use reported metrics to fine-tune and tweak operational systems parameters (including dynamic setting of logging modules and severity levels to enable detailed logging).
+
+## Design Decisions
+
+The following design decisions are to be confirmed:
+
+1. JMX for metric eventing and SLF4J for logging
+ Both above are widely adopted mechanisms that enable pluggability and seamless inteoperability with other 3rd party enterprise-wide system management solutions.
+2. Continue or discontinue usage of Jolokia? (TBC - most likely yes, subject to read-only security lock-down)
+3. Separation of Corda Node and CorDapp log outputs (TBC)
+
+## Proposed Solution
+
+There are a number of activities and parts to the solution proposal:
+
+1. Extend JMX metric reporting through the Corda Monitoring Service and associated jolokia conversion to REST/JSON) coverage (see implementation details) to include all Corda services (vault, key management, transaction storage, network map, attachment storage, identity, cordapp provision) & subsytems components (state machine)
+
+2. Review and extend Corda log4j2 coverage (see implementation details) to ensure
+
+ - consistent use of severities according to situation
+ - consistent coverage across all modules and libraries
+ - consistent output format with all relevant contextual information (node identity, user/execution identity, flow session identity, version information)
+ - separation of Corda Node and CorDapp log outputs (TBC)
+ For consistent interleaving reasons, it may be desirable to continue using combined log output.
+
+ Publication of a *code style guide* to define when to use different severity levels.
+
+3. Implement a CorDapp to perform sanity checking of flow framework, fundamental corda services (vault, identity), and dependent middleware infrastructure (message broker, database).
+ [TBC]
+
+4. Revisit and enhance as necessary the [Audit service API]( https://github.com/corda/corda/pull/620 ), and provide a persistent backed implementation, to include:
+
+ - specification of Business Event Categories (eg. User authentication and authorisation, Flow-based triggering, Corda Service invocations, Oracle invocations, Flow-based send/receive calls, RPC invocations)
+ - auto-enabled with Progress Tracker as Business Event generator
+ - RDBMS backed persistent store (independent of Corda database), with adequate security controls (authenticated access and read-only permissioning). Captured information should be consistent with standard logging, and it may be desirable to define auditable loggers within log4j2 to automatically redirect certain types of log events to the audit service.
+
+5. Ensure 3rd party middleware drivers (JDBC for database, MQ for messaging) and the JVM are correctly configured to export JMX metrics. Ensure the [JVM Hotspot VM command-line parameters](https://docs.oracle.com/javase/8/docs/technotes/guides/troubleshoot/clopts001.html) are tuned correctly to enable detailed troubleshooting upon failure. Many of these metrics are already automatically exposed to 3rd party profiling tools such as Yourkit.
+
+ Apache Artemis has a comprehensive [management API](https://activemq.apache.org/artemis/docs/latest/management.html) that allows a user to modify a server configuration, create new resources (e.g. addresses and queues), inspect these resources (e.g. how many messages are currently held in a queue) and interact with it (e.g. to remove messages from a queue), and exposes key metrics using JMX (using role-based authentication using Artemis's JAAS plug-in support to ensure Artemis cannot be controlled via JMX)..
+
+##### Restrictions
+
+- As of Corda M11, Java serialisation in the Corda node has been restricted, meaning MBeans access via the JMX port will no longer work.
+- Usage of Jolokia requires bundling an associated *jolokia-agent-war* file on the classpath, and associated configuration to export JMX monitoring statistics and data over the Jolokia REST/JSON interface. An associated *jolokia-access.xml* configuration file defines role based permissioning to HTTP operations.
+
+## Complementary solutions
+
+A number of 3rd party libraries and frameworks have been proposed which solve different parts of the end to end solution, albeit with most focusing on the Agent Collector (eg. collect metrics from systems then output them to some backend storage.), Event Storage and Search, and Visualization aspects of Systems Management and Monitoring. These include:
+
+| Solution | Type (OS/£) | Description |
+| ---------------------------------------- | ----------- | ---------------------------------------- |
+| [Splunk](https://www.splunk.com/en_us/products.html) | £ | General purpose enterprise-wide system management solution which performs collection and indexing of data, searching, correlation and analysis, visualization and reporting, monitoring and alerting. |
+| [ELK](https://logz.io/learn/complete-guide-elk-stack/) | OS | The ELK stack is a collection of 3 open source products from Elastic which provide an end to end enterprise-wide system management solution:<br />Elasticsearch: NoSQL database based on Lucene search engine<br />Logstash: is a log pipeline tool that accepts inputs from various sources, executes different transformations, and exports the data to various targets. Kibana: is a visualization layer that works on top of Elasticsearch. |
+| [ArcSight](https://software.microfocus.com/en-us/software/siem-security-information-event-management) | £ | Enterprise Security Manager |
+| [Collectd](https://collectd.org/) | OS | Collector agent (written in C circa 2005). Data acquisition and storage handled by over 90 plugins. |
+| [Telegraf](https://github.com/influxdata/telegraf) | OS | Collector agent (written in Go, active community) |
+| [Graphite](https://graphiteapp.org/) | OS | Monitoring tool that stores, retrieves, shares, and visualizes time-series data. |
+| [StatsD](https://github.com/etsy/statsd) | OS | Collector daemon that runs on the [Node.js](http://nodejs.org/) platform and listens for statistics, like counters and timers, sent over [UDP](http://en.wikipedia.org/wiki/User_Datagram_Protocol) or [TCP](http://en.wikipedia.org/wiki/Transmission_Control_Protocol) and sends aggregates to one or more pluggable backend services (e.g., [Graphite](http://graphite.readthedocs.org/)). |
+| [fluentd](https://www.fluentd.org/) | OS | Collector daemon which collects data directly from logs and databases. Often used to analyze event logs, application logs, and clickstreams (a series of mouse clicks). |
+| [Prometheus](https://prometheus.io/) | OS | End to end monitoring solution using time-series data (eg. metric name and a set of key-value pairs) and includes collection, storage, query and visualization. |
+| [NewRelic](https://newrelic.com/) | £ | Full stack instrumentation for application monitoring and real-time analytics solution. |
+
+Most of the above solutions are not within the scope of this design proposal, but should be capable of ingesting the outputs (logging and metrics) defined by this design.
+
+TECHNICAL DESIGN
+---
+
+In general, the requirements outlined in this design are cross-cutting concerns which affect the Corda codebase holistically, both for logging and capture/export of JMX metrics.
+
+## Interfaces
+
+* Public APIs impacted
+ * No Public API's are impacted.
+
+
+* Internal APIs impacted
+ * No identified internal API's are impacted.
+* Services impacted:
+ * No change anticipated to following service:
+ * *Monitoring*
+ This service defines and used the *Codahale* `MetricsRegistry`, which is used by all other Corda services.
+ * Changes expected to:
+ * *AuditService*
+ This service has been specified but not implemented.
+ The following event types have been defined (and may need reviewing):
+ * `FlowAppAuditEvent`: used in `FlowStateMachine`, exposed on `FlowLogic` (but never called)
+ * `FlowPermissionAuditEvent`: (as above)
+ * `FlowStartEvent` (unused)
+ * `FlowProgressAuditEvent` (unused)
+ * `FlowErrorAuditEvent` (unused)
+ * `SystemAuditEvent` (unused)
+* Modules impacted
+ * All modules packaged and shipped as part of a Corda distribution (as published to Artifactory / Maven): *core, node, node-api, node-driver, finance, confidential-identities, test-common, test-utils, verifier, webserver, jackson, jfx, mock, rpc*
+
+## Functional
+
+#### Health Checker
+
+The Health checker is a CorDapp which verifies the health and liveliness of the Corda node it is deployed and running within by performing the following activities:
+
+1. Corda network and middleware infrastructure connectivity checking:
+
+ - Database connectivity
+ - Message broker connectivity
+
+2. Network Map participants summary (count, list)
+
+ - Notary summary (type, [number of cluster members]
+
+3. Flow framework verification
+
+ Implement a simple flow that performs a simple "in-node" (no external messaging to 3rd party processes) roundtrip, and by doing so, exercises:
+
+ - flow checkpointing (including persistence to relational data store)
+ - message subsystem verification (creation of a send-to-self queue for purpose of routing)
+ - custom CordaService invocation (verify and validate behaviour of an installed CordaService)
+ - vault querying (verify and validate behaviour of vault query mechanism)
+
+ [this CorDapp could perform a simple Issuance of a fictional Corda token, Spend Corda token to self, Corda token exit, plus a couple of Vault queries in between: one using the VaultQuery API and the other using a Custom Query via a registered @CordaService]
+
+4. RPC triggering
+ Autotriggering of above flow using RPC to exercise the following:
+
+ - messaging subsystem verification (RPC queuing)
+ - authenticaton and permissing checking (against underlying configuration)
+
+
+The Health checker may be deployed as part of a Corda distribution and automatically invoked upoin start-up and/or manually triggered via JMX or the nodes associated Crash shell (using the startFlow command)
+
+Please note that the Health checker application is not responsible for determining the healthiness of a Corda Network. This is the responsibility of the network operator, and may include verification checks such as:
+
+- correct functioning of Network Map Service (registration, discovery)
+- correct functioning of configured Notary
+- remote messaging subsytem (including bridge creation)
+
+#### Metrics augmentation within Corda Subsystems and Components
+
+*Codahale* provides the following types of reportable metrics:
+
+- Gauge: is an instantaneous measurement of a value.
+- Counter: is a gauge for a numeric value (specifically of type `AtomicLong`) which can be incremented or decremented.
+- Meter: measures mean throughtput (eg. the rate of events over time, e.g., “requests per second”). Also measures one-, five-, and fifteen-minute exponentially-weighted moving average throughputs.
+- Histogram: measures the statistical distribution of values in a stream of data (minimum, maximum, mean, median, 75th, 90th, 95th, 98th, 99th, and 99.9th percentiles).
+- Timer: measures both the rate that a particular piece of code is called and the distribution of its duration (eg. rate of requests in requests per second).
+- Health checks: provides a means of centralizing service (database, message broker health checks).
+
+See Appendix B for summary of current JMX Metrics exported by the Corda codebase.
+
+The following table identifies additional metrics to report for a Corda node:
+
+| Component / Subsystem | Proposed Metric(s) |
+| ---------------------------------------- | ---------------------------------------- |
+| Database | Connectivity (health check) |
+| Corda Persistence | Database configuration details: <br />Data source properties: JDBC driver, JDBC driver class name, URL<br />Database properties: isolation level, schema name, init database flag<br />Run-time metrics: total & in flight connection, session, transaction counts; committed / rolledback transaction (counter); transaction durations (metric) |
+| Message Broker | Connectivity (health check) |
+| Corda Messaging Client | |
+| State Machine | Fiber thread pool queue size (counter), Live fibers (counter) , Fibers waiting for ledger commit (counter)<br />Flow Session Messages (counters): init, confirm, received, reject, normal end, error end, total received messages (for a given flow session, Id and state)<br />(in addition to existing metrics captured)<br />Flow error (count) |
+| Flow State Machine | Initiated flows (counter)<br />For a given flow session (counters): initiated flows, send, sendAndReceive, receive, receiveAll, retries upon send<br />For flow messaging (timers) to determine roundtrip latencies between send/receive interactions with counterparties.<br />Flow suspension metrics (count, age, wait reason, cordapp) |
+| RPC | For each RPC operation we should export metrics to report: calling user, roundtrip latency (timer), calling frequency (meter). Metric reporting should include the Corda RPC protocol version (should be the same as the node's Platform Version) in play. <br />Failed requests would be of particular interest for alerting. |
+| Vault | Roundtrip latency of Vault Queries (timer)<br />Soft locking counters for reserve, release (counter), elapsed times soft locks are held for per flow id (timer, histogram), list of soft locked flow ids and associated stateRefs.<br />attempt to soft lock fungible states for spending (timer) |
+| Transaction Verification<br />(InMemoryTransactionVerifierService) | worker pool size (counter), verify duration (timer), verify throughput (meter), success (counter), failure counter), in flight (counter) |
+| Notarisation | Notary details (type, members in cluster)<br />Counters for success, failures, failure types (conflict, invalid time window, invalid transaction, wrong notary), elapsed time (timer)<br />Ideally provide breakdown of latency across notarisation steps: state ref notary validation, signature checking, from sending to remote notary to receiving response |
+| RAFT Notary Service<br />(awaiting choice of new RAFT implementation) | should include similar metrics to previous RAFT (see appendix). |
+| SimpleNotaryService | success/failure uniqueness checking<br />success/failure timewindow checking |
+| ValidatingNotaryService | as above plus success/failure of transaction validation |
+| RaftNonValidatingNotaryService | as `SimpleNotaryService`, plus timer for algorithmic execution latency |
+| RaftValidatingNotaryService | as `ValidatingNotaryService`, plus timer for algorithmic execution latency |
+| BFTNonValidatingNotaryService | as `RaftNonValidatingNotaryService` |
+| CorDapps<br />(CordappProviderImpl, CordappImpl) | list of corDapps loaded in node, path used to load corDapp jars<br />Details per CorDapp: name, contract class names, initiated flows, rpc flows, service flows, schedulable flows, services, serialization whitelists, custom schemas, jar path |
+| Doorman Server | TBC |
+| KeyManagementService | signing requests (count), fresh key requests (count), fresh key and cert requests (count), number of loaded keys (count) |
+| ContractUpgradeServiceImpl | number of authorisation upgrade requests (counter) |
+| DBTransactionStorage | number of transactions in storage map (cache) <br />cache size (max. 1024), concurrency level (def. 8) |
+| DBTransactionMappingStorage | as above |
+| Network Map | TBC (following re-engineering) |
+| Identity Service | number or parties, keys, principals (in cache)<br />Identity verification count & latency (count, metric) |
+| Attachment Service | counters for open, import, checking requests<br />(in addition to exiting attachment count) |
+| Schema Service | list of registered schemas; schemaOptions per schema; table prefix. |
+
+#### Logging augmentation within Corda Subsystems and Components
+
+Need to ensure that Log4J2 log messages within Corda code are correctly categorized according to defined severities (from most specific to least):
+
+- ERROR: an error in the application, possibly recoverable.
+- WARNING: an event that might possible lead to an error.
+- INFO: an event for informational purposes.
+- DEBUG: a general debugging event.
+- TRACE: a fine-grained debug message, typically capturing the flow through the application.
+
+A *logging style guide* will be published to answer questions such as what severity level should be used and why when:
+
+- A connection to a remote peer is unexpectedly terminated.
+- A database connection timed out but was successfully re-established.
+- A message was sent to a peer.
+
+It is also important that we capture the correct amount of contextual information to enable rapid identification and resolution of issues using log file output. Specifically, within Corda we should include the following information in logged messages:
+
+- Node identifier
+- User name
+- Flow id (runId, also referred to as `StateMachineRunId`), if logging within a flow
+- Other contextual Flow information (eg. counterparty), if logging within a flow
+- `FlowStackSnapshot` information for catastrophic flow failures.
+ Note: this information is not currently supposed to be used in production (???).
+- Session id information for RPC calls
+- CorDapp name, if logging from within a CorDapp
+
+See Appendix C for summary of current Logging and Progress Tracker Reporting coverage within the Corda codebase.
+
+##### Custom logging for enhanced visibility and troubleshooting:
+
+1. Database SQL logging is controlled via explicit configuration of the Hibernate log4j2 logger as follows:
+
+```
+<Logger name="org.hibernate.SQL" level="debug" additivity="false">
+ <AppenderRef ref="Console-Appender"/>
+</Logger>
+```
+
+2. Message broker (Apache Artemis) advanced logging is enabled by configuring log4j2 for each of the 6 available [loggers defined](https://activemq.apache.org/artemis/docs/latest/logging.html). In general, Artemis logging is highly chatty so default logging is actually toned down for one of the defined loggers:
+
+```
+<Logger name="org.apache.activemq.artemis.core.server" level="error" additivity="false">
+ <AppenderRef ref="RollingFile-Appender"/>
+</Logger>
+```
+
+3. Corda coin selection advanced logging - including display of prepared statement parameters (which are not displayed for certain database providers when enabling Hibernate debug logging):
+
+```
+<Logger name="net.corda.finance.contracts.asset.cash.selection" level="trace" additivity="false">
+ <AppenderRef ref="Console-Appender"/>
+</Logger>
+```
+
+#### Audit Service persistence implementation and enablement
+
+1. Implementation of the existing `AuditService` API to write to a (pluggable) secure destination (database, message queue, other)
+2. Identification of Business Events that we should audit, and instrumentation of code to ensure the AuditService is called with the correct Event Type according to Business Event.
+ For Corda Flows it would be a good idea to use the `ProgressTracker` component as a means of sending Business audit events. Refer [here](https://docs.corda.net/head/flow-state-machines.html?highlight=progress%20tracker#progress-tracking) for a detailed description of the ProgressTracker API.
+3. Identification of System Events that should be automatically audited.
+4. Specification of a database schema and associated object relational mapping implementation.
+5. Setup and configuration of separate database and user account.
+
+## Software Development Tools and Programming Standards to be adopted.
+
+* Design patterns
+
+ [Michele] proposes the adoption of an [event-based propagation](https://r3-cev.atlassian.net/browse/ENT-1131) solution (and associated event-driven framework) based on separation of concerns (performance improvements through parallelisation, latency minimisation for mainline execution thread): mainstream flow logic, business audit event triggering, JMX metric reporting. This approach would continue to use the same libraries for JMX event triggering and file logging.
+
+* 3rd party libraries
+
+ [Jolokia](https://jolokia.org/) is a JMX-HTTP bridge giving access to the raw data and operations without connecting to the JMX port directly. Jolokia defines the JSON and REST formats for accessing MBeans, and provides client libraries to work with that protocol as well.
+
+ [Dropwizard Metrics](http://metrics.dropwizard.io/3.2.3/) (formerly Codahale) provides a toolkit of ways to measure the behavior of critical components in a production environment.
+
+* supporting tools
+
+ [VisualVM](http://visualvm.github.io/) is a visual tool integrating commandline JDK tools and lightweight profiling capabilities.
+
+APPENDICES
+---
+
+### Appendix A - Corda exposed JMX Metrics
+
+The following metrics are exposed directly by a Corda Node at run-time:
+
+| Module | Metric | Desccription |
+| ------------------------ | ---------------------------- | ---------------------------------------- |
+| Attachment Service | Attachments | Counts number of attachments persisted in database. |
+| Verification Service | VerificationsInFlight | Gauge of number of in flight verifications handled by the out of process verification service. |
+| Verification Service | Verification.Duration | Timer |
+| Verification Service | Verification.Success | Count |
+| Verification Service | Verification.Failure | Count |
+| RAFT Uniqueness Provider | RaftCluster.ThisServerStatus | Gauge |
+| RAFT Uniqueness Provider | RaftCluster.MembersCount | Count |
+| RAFT Uniqueness Provider | RaftCluster.Members | Gauge, containing a list of members (by server address) |
+| State Machine Manager | Flows.InFlight | Gauge (number of instances of state machine manager) |
+| State Machine Manager | Flows.CheckpointingRate | Meter |
+| State Machine Manager | Flows.Started | Count |
+| State Machine Manager | Flows.Finished | Count |
+| Flow State Machine | FlowDuration | Timer |
+
+Additionally, JMX metrics are also generated within the Corda *node-driver* performance testing utilities. Specifically, the `startPublishingFixedRateInjector` defines and exposes `QueueSize` and `WorkDuration` metrics.
+
+### Appendix B - Corda Logging and Reporting coverage
+
+Primary node services exposed publically via ServiceHub (SH) or internally by ServiceHubInternal (SHI):
+
+| Service | Type | Implementation | Logging summary |
+| ---------------------------------------- | ---- | ---------------------------------- | ---------------------------------------- |
+| VaultService | SH | NodeVaultService | extensive coverage including Vault Query api calls using `HibernateQueryCriteriaParser` |
+| KeyManagementService | SH | PersistentKeyManagementService | none |
+| ContractUpgradeService | SH | ContractUpgradeServiceImpl | none |
+| TransactionStorage | SH | DBTransactionStorage | none |
+| NetworkMapCache | SH | NetworkMapCacheImpl | some logging (11x info, 1x warning) |
+| TransactionVerifierService | SH | InMemoryTransactionVerifierService | |
+| IdentityService | SH | PersistentIdentityService | some logging (error, debug) |
+| AttachmentStorage | SH | NodeAttachmentService | minimal logging (info) |
+| | | | |
+| TransactionStorage | SHI | DBTransactionStorage | see SH |
+| StateMachineRecordedTransactionMappingStorage | SHI | DBTransactionMappingStorage | none |
+| MonitoringService | SHI | MonitoringService | none |
+| SchemaService | SHI | NodeSchemaService | none |
+| NetworkMapCacheInternal | SHI | PersistentNetworkMapCache | see SH |
+| AuditService | SHI | <unimplemented> | |
+| MessagingService | SHI | NodeMessagingClient | Good coverage (error, warning, info, trace) |
+| CordaPersistence | SHI | CordaPersistence | INFO coverage within `HibernateConfiguration` |
+| CordappProviderInternal | SHI | CordappProviderImpl | none |
+| VaultServiceInternal | SHI | NodeVaultService | see SH |
+| | | | |
+
+Corda subsystem components:
+
+| Name | Implementation | Logging summary |
+| -------------------------- | ---------------------------------------- | ---------------------------------------- |
+| NotaryService | SimpleNotaryService | some logging (warn) via `TrustedAuthorityNotaryService` |
+| NotaryService | ValidatingNotaryService | as above |
+| NotaryService | RaftValidatingNotaryService | some coverage (info, debug) within `RaftUniquenessProvider` |
+| NotaryService | RaftNonValidatingNotaryService | as above |
+| NotaryService | BFTNonValidatingNotaryService | Logging coverage (info, debug) |
+| Doorman | DoormanServer (Enterprise only) | Some logging (info, warn, error), and use of `println` |
+| TransactionVerifierService | OutOfProcessTransactionVerifierService (Enterprise only) | some logging (info) |
+| | | |
+
+Corda core flows:
+
+| Flow name | Logging | Exception handling | Progress Tracking |
+| --------------------------------------- | ------------------- | ---------------------------------------- | ----------------------------- |
+| FinalityFlow | none | NotaryException | NOTARISING, BROADCASTING |
+| NotaryFlow | none | NotaryException (NotaryError types: TimeWindowInvalid, TransactionInvalid, WrongNotary), IllegalStateException, some via `check` assertions | REQUESTING, VALIDATING |
+| NotaryChangeFlow | none | StateReplacementException | SIGNING, NOTARY |
+| SendTransactionFlow | none | FetchDataFlow.HashNotFound (FlowException) | |
+| ReceiveTransactionFlow | none | SignatureException, AttachmentResolutionException, TransactionResolutionException, TransactionVerificationException | |
+| ResolveTransactionsFlow | none | FetchDataFlow.HashNotFound (FlowException), ExcessivelyLargeTransactionGraph (FlowException) | |
+| FetchAttachmentsFlow | none | FetchDataFlow.HashNotFound | |
+| FetchTransactionsFlow | none | FetchDataFlow.HashNotFound | |
+| FetchDataFlow | some logging (info) | FetchDataFlow.HashNotFound | |
+| AbstractStateReplacementFlow.Instigator | none | StateReplacementException | SIGNING, NOTARY |
+| AbstractStateReplacementFlow.Acceptor | none | StateReplacementException | VERIFYING, APPROVING |
+| CollectSignaturesFlow | none | IllegalArgumentException via `require` assertions | COLLECTING, VERIFYING |
+| CollectSignatureFlow | none | as above | |
+| SignTransactionFlow | none | FlowException, possibly other (general) Exception | RECEIVING, VERIFYING, SIGNING |
+| ContractUpgradeFlow | none | FlowException | |
+| | | | |
+
+Corda finance flows:
+
+| Flow name | Logging | Exception handling | Progress Tracking |
+| -------------------------- | ------- | ---------------------------------------- | ---------------------------------------- |
+| AbstractCashFlow | none | CashException (FlowException) | GENERATING_ID, GENERATING_TX, SIGNING_TX, FINALISING_TX |
+| CashIssueFlow | none | CashException (via call to `FinalityFlow`) | GENERATING_TX, SIGNING_TX, FINALISING_TX |
+| CashPaymentFlow | none | CashException (caused by `InsufficientBalanceException` or thrown by `FinalityFlow`), SwapIdentitiesException | GENERATING_ID, GENERATING_TX, SIGNING_TX, FINALISING_TX |
+| CashExitFlow | none | CashException (caused by `InsufficientBalanceException` or thrown by `FinalityFlow`), | GENERATING_TX, SIGNING_TX, FINALISING_TX |
+| CashIssueAndPaymentFlow | none | any thrown by `CashIssueFlow` and `CashPaymentFlow` | as `CashIssueFlow` and `CashPaymentFlow` |
+| TwoPartyDealFlow.Primary | none | | GENERATING_ID, SENDING_PROPOSAL |
+| TwoPartyDealFlow.Secondary | none | IllegalArgumentException via `require` assertions | RECEIVING, VERIFYING, SIGNING, COLLECTING_SIGNATURES, RECORDING |
+| TwoPartyTradeFlow.Seller | none | FlowException, IllegalArgumentException via `require` assertions | AWAITING_PROPOSAL, VERIFYING_AND_SIGNING |
+| TwoPartyTradeFlow.Buyer | none | IllegalArgumentException via `require` assertions, IllegalStateException | RECEIVING, VERIFYING, SIGNING, COLLECTING_SIGNATURES, RECORDING |
+
+Confidential identities flows:
+
+| Flow name | Logging | Exception handling | Progress Tracking |
+| ------------------------ | ------- | ---------------------------------------- | ---------------------------------------- |
+| SwapIdentitiesFlow | | | |
+| IdentitySyncFlow.Send | none | IllegalArgumentException via `require` assertions, IllegalStateException | SYNCING_IDENTITIES |
+| IdentitySyncFlow.Receive | none | CertificateExpiredException, CertificateNotYetValidException, InvalidAlgorithmParameterException | RECEIVING_IDENTITIES, RECEIVING_CERTIFICATES |
+
+#####Appendix C - Apache Artemis JMX Event types and Queuing Metrics.
+
+The following table contains a list of Notification Types and associated perceived importance to a Corda node at run-time:
+
+| Name | Code | Importance |
+| --------------------------------- | :--: | ---------- |
+| BINDING_ADDED | 0 | |
+| BINDING_REMOVED | 1 | |
+| CONSUMER_CREATED | 2 | Medium |
+| CONSUMER_CLOSED | 3 | Medium |
+| SECURITY_AUTHENTICATION_VIOLATION | 6 | Very high |
+| SECURITY_PERMISSION_VIOLATION | 7 | Very high |
+| DISCOVERY_GROUP_STARTED | 8 | |
+| DISCOVERY_GROUP_STOPPED | 9 | |
+| BROADCAST_GROUP_STARTED | 10 | N/A |
+| BROADCAST_GROUP_STOPPED | 11 | N/A |
+| BRIDGE_STARTED | 12 | High |
+| BRIDGE_STOPPED | 13 | High |
+| CLUSTER_CONNECTION_STARTED | 14 | Soon |
+| CLUSTER_CONNECTION_STOPPED | 15 | Soon |
+| ACCEPTOR_STARTED | 16 | |
+| ACCEPTOR_STOPPED | 17 | |
+| PROPOSAL | 18 | |
+| PROPOSAL_RESPONSE | 19 | |
+| CONSUMER_SLOW | 21 | High |
+
+The following table summarised the types of metrics associated with Message Queues:
+
+| Metric | Description |
+| ----------------- | ---------------------------------------- |
+| count | total number of messages added to a queue since the server started |
+| countDelta | number of messages added to the queue *since the last message counter update* |
+| messageCount | *current* number of messages in the queue |
+| messageCountDelta | *overall* number of messages added/removed from the queue *since the last message counter update*. Positive value indicated more messages were added, negative viceversa. |
+| lastAddTimestamp | timestamp of the last time a message was added to the queue |
+| updateTimestamp | timestamp of the last message counter update |
+
From 7b26f4ecb40156a2b444f1912d79d4dd5dc39432 Mon Sep 17 00:00:00 2001
From: Mike Hearn <mike@r3.com>
Date: Mon, 14 May 2018 17:07:13 +0200
Subject: [PATCH 23/25] Docs: import notary service HA doc.
---
.../notaryServiceHA/decisions/decision.md | 42 ++++
docs/source/design/notaryServiceHA/design.md | 201 ++++++++++++++++++
.../design/notaryServiceHA/diskload.png | Bin 0 -> 128816 bytes
.../design/notaryServiceHA/galera-cluster.dot | 30 +++
.../notaryServiceHA/galera-cluster.dot.png | Bin 0 -> 40965 bytes
.../notaryServiceHA/galera-test-run.png | Bin 0 -> 113224 bytes
.../design/notaryServiceHA/overview.svg | 1 +
docs/source/design/notaryServiceHA/txs.png | Bin 0 -> 550651 bytes
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create mode 100644 docs/source/design/notaryServiceHA/design.md
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create mode 100644 docs/source/design/notaryServiceHA/galera-cluster.dot
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diff --git a/docs/source/design/notaryServiceHA/decisions/decision.md b/docs/source/design/notaryServiceHA/decisions/decision.md
new file mode 100644
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+++ b/docs/source/design/notaryServiceHA/decisions/decision.md
@@ -0,0 +1,42 @@
+
+
+--------------------------------------------
+Design Decision: Notary Backend - Galera or Permazen Raft
+=========================================================
+
+## Background / Context
+
+We have evaluated Galera and Permazen as a possible replacement for Atomix CopyCat for the storage backend of our Notary Service, more specificalyl the Uniqueness Provider.
+
+## Options Analysis
+
+### A. Galera Cluster
+
+#### Advantages
+
+1. Wider user base. In a survey of 478 OpenStack deployments, 32% decided to use Galera Cluster in production, see p. 47 of the [survey](https://www.openstack.org/assets/survey/April2017SurveyReport.pdf).
+
+2. Very little additional work needed.
+
+3. Entrerprise support.
+
+#### Disadvantages
+
+1. Harder to customize.
+
+### B. Permazen Raft KV Database
+
+#### Advantages
+
+1. Customizable.
+2. Slightly faster in our tests.
+3. Simpler to deploy (embedded in the Corda node).
+
+#### Disadvantages
+
+1. Not ready out of the box, needs rate limiting, follower might run OOM during snapshot transfer.
+2. No large community behind it.
+
+## Recommendation and justification
+
+Proceed with Option A
diff --git a/docs/source/design/notaryServiceHA/design.md b/docs/source/design/notaryServiceHA/design.md
new file mode 100644
index 0000000000..61ca61c399
--- /dev/null
+++ b/docs/source/design/notaryServiceHA/design.md
@@ -0,0 +1,201 @@
+
+
+# HA Notary Service Design
+
+DOCUMENT MANAGEMENT
+---
+
+## Document Control
+
+| Title | HA Notary Design |
+| -------------------- | ---------------------------------------- |
+| Date | 13 December 2017 |
+| Author | Thomas Schroeter and Andrius Dagys |
+| Distribution | Design Review Board, Product Management, Services - Technical (Consulting), Platform Delivery |
+| Corda target version | Enterprise |
+| JIRA reference | https://r3-cev.atlassian.net/browse/ENT-1232 |
+
+## Approvals
+
+#### Document Sign-off
+
+| Author | |
+| ----------------- | ---------------------------------------- |
+| Reviewer(s) | (GitHub PR reviewers) |
+| Final approver(s) | (GitHub PR approver(s) from Design Approval Board) |
+
+#### Design Decisions
+
+| Description | Recommendation |
+| ---------------------------------------- | -------------- |
+| [Galera or Permazen](decisions/decision.md) | Galera |
+
+HIGH LEVEL DESIGN
+---
+
+## Overview
+
+The distributed notary service tracks spent contract states and prevents double spending. For high-availability (HA), the backing data store is replicated across a cluster of machines in different data centers. In this model, the cluster is meant to be operated by a single party, and only crash faults are tolerated.
+
+## Background
+
+We have an existing HA notary service based on Atomix CopyCat, which an open source state machine replication library that implemets the Raft consensus algorithm. However, it doesn't scale well with the number of spent input states, since CopyCat takes periodic snapshots of the state machine and the snapshots have to fit in memory.
+
+As an alternative, we propose using a more traditional MySQL database-based approach, using Galera Cluster, which provides synchronous multi-master replication. Galera Cluster is based on a MySQL server with Write-Set replication (wsrep) API, and the Galera Replication Plugin. Through the wsrep API Galera provides [certification-based replication](http://galeracluster.com/documentation-webpages/certificationbasedreplication.html). It works roughly as follows:
+1. A single database node executes a transaction optimistically until it reaches the commit point.
+2. Changes made by the trasaction are collected into a write-set.
+3. The write-set broadcasted to the cluster.
+4. Every other node determines whether it can apply the write-set without conflicts.
+5. In case of conflict, the initial node rolls back the transaction.
+
+There are different Galera Cluster implementations, and we chose the Percona XtraDB cluster, as they were historically more focused on performance than the competition.
+
+### Decisions
+
+- We are replacing the Atomix CopyCat Raft service.
+- We are using a Percona cluster for Corda Connect.
+- We keep investigating a more scalable solution, based on Permazen or a custom implementation.
+- In the long term, we are interested in providing a BFT solution, perhaps leveraging SGX.
+
+#### Advantages of Percona
+
+- Production ready
+- Works out of the box
+- Backed by a company, enterprise and a community support are available
+- Running stable at 30 tx/second (with 10 input states / tx), see figure below, in the section about the long running test
+
+#### Disadvantages of Percona
+
+- Performance deteriorates over time. This happens because Galera only works with the InnoDB storage engine, internally backed by a B+ tree. Since we use state references as primary keys, table insterts results in random B+ tree inserts, which doesn't scale well.
+
+## Scope
+
+### Goals
+
+* We need a stable notary implementation.
+* The implementation has to be easy to operate.
+* We know that the switching costs to a more scalable solution are minimal.
+* We take periodic backups of the consumed states and we test the recovery.
+* We remain flexible and open to future requirements.
+
+### Non-Goals
+
+* For the time being, we don't need a solution that is shardable (for now, all replicas can hold all the state).
+* We don't require a solution that can handle throughput beyond 15 tx/second.
+* We don't design and implement a custom solution in the short term.
+* We don't need rate limiting and fairness.
+
+## Design Decisions
+
+
+
+The HA notary service relies on the underlying MySQL uniqueness provider on top of a Percona XtraDB Cluster to prevent double spending of input states. The exact data center locations are to be determined. Our notary service replicas connect via JDBC to the replicated MySQL service.
+
+Percona XtraDB Cluster is based on Percona Server and the Galera replication library that provides a multi master cluster based on synchronous replication. The cluster is as good as its slowest node.
+
+TECHNICAL DETAILS
+---
+
+## Main Data Structure
+
+The table below details the data base schema.
+
+| Field name | Type | Description |
+| --------------------- | ------------ | ---------------------------------------- |
+| issue_tx_id | Binary(32) | The ID of the transaction that created the state |
+| issue_tx_output_id | Int unsigned | Where in the transaction the state was created |
+| consuming_tx_id | Binary(32) | The ID of the transaction that consumes the input state |
+| consuming_tx_input_id | Int unsigned | Where in the transaction the state is consumed |
+| consuming_party | Blob | Who is requesting the notarisation (~1 kByte) |
+| commit_time | Timestamp | When this row is committed |
+
+## Functional
+
+The notary service relies on the MySQL uniqueness provider to prevent double spending. The MySQL database holds a single table as described above. For HA, the data is synchronously replicated to several nodes by the Galera replication plugin.
+
+During notarisation, the uniqueness provider attempts to commit all input states of the Corda transaction in a single database transaction. If at least one input state has been previously spent, the entire database transaction fails with a batch exception. Unspent states can still be spent in a different later transaction. In case of double spend attempts, the uniqueness provider queries the database for details where the conflicting states have been spent. The consuming transaction ID, position of the input in the transaction and the requesting party are collected for all conflicting inputs, wrapped in a uniqueness exception, thrown by the uniqueness provider. This exception is handled by the notary service and turned into a notary exception.
+
+We are using the Hikari connection pool to connect the notary services to all nodes of our Percona cluster. The connection pool can be monitored via JMX.
+
+### Deployment
+
+We are planning to run a five node Percona cluster that can tolerate two simultaneous node failures. In case we need to provide more storage or upgrade to better hardware we can take a single node down for maintenance and still tolerate one unplanned failure.
+
+#### Monitoring cluster membership changes
+
+We setup a [notification command](http://galeracluster.com/documentation-webpages/notificationcmd.html) that gets called whenever the node registers a change.
+
+### Management
+
+#### Disaster Recovery
+
+Our disaster recovery strategy covers the following risks:
+1. **Host Failure**. For the 5 node cluster we can tolerate 2 host failures without interrupting operation. This includes both machine and disk failures.
+2. **DC Failure**. The cluster will be distributed across 3 data centers in a 2+2+1 configuration. A loss of one data center can be tolerated without interrupting service operation.
+3. **Data Corruption/Loss**. In cases of data corruption or loss that is replicated across the cluster (for example, accidental data deletion or modification by an administrator) backups will be used to restore the cluster state. In this scenario service downtime will be incurred.
+
+##### Backup and Recovery
+
+Recovery Point Objective: 0
+
+Recovery Time Objective: 1h
+
+Any data loss incurred by the notary service will lead to a compromised ledger, since participants would be able to double-spend already notarised states. Note that the backup & recovery procedure is only required for mitigating data loss that gets replicated to the entire cluster.
+
+This can be achieved by combining periodic backups of the entire database state, and the MySQL [binary log](https://dev.mysql.com/doc/refman/5.7/en/binary-log.html). The binary log contains a log of all executed SQL statements, which can be replayed onto a backup to restore the most up-to-date state. In case of an accidental statement that removes data (e.g. DROP TABLE), the binary log can be replayed only up to the offending statement.
+
+Scenarios where data corruption is caused by a malicious administrator selectively modifying or removing table rows are out of scope.
+
+See [Galera's backup documentation](http://galeracluster.com/documentation-webpages/backingupthecluster.html)
+
+#### Monitoring
+
+See the [Percona Management and Monitoring](https://www.percona.com/doc/percona-monitoring-and-management/index.html) documentation.
+
+* Throughput in Tx / second
+* Throughput in Input states / second
+* Double spend attempts / time
+* High level statistics, e.g. number of double spend attempts in the last 24 hours by two parties
+* Double spend attempts per party
+* Latency p50, p99
+* Number of input states in DB
+* Size of DB
+* Replication Queues, see [monitoring Galera](http://galeracluster.com/documentation-webpages/monitoringthecluster.html)
+
+#### Alerting
+
+Alerts are triggered based on relevant metrics, like number of active members in the cluster and size of write queues of individual nodes. We are configuring PMM to forward alerts to PagerDuty, where we do the routing to the operators who are on call. We configure email alerting and slack integration as additional channels.
+
+## Security
+
+SSL encrypted links between the nodes of the Galera cluster and the notary service and the Galera cluster. See the [SSL config documentation](http://galeracluster.com/documentation-webpages/sslconfig.html).
+
+The managed disks on Azure [are encrypted](https://azure.microsoft.com/en-gb/blog/azure-managed-disks-sse/) with keys managed by Microsoft. We have to trust our cloud provider anyways, so we don't do our own disk encryption.
+
+## Testing the throughput of the uniqueness provider
+
+We are using a custom load test flow that includes double spend attempts. The application metrics are forwarded to Graphite and our Percona cluster is monitored by Percona's metrics and monitoring tool (PMM).
+
+In our tests, the number of input states is Poisson-distributed with an average four input states per transaction. To increase throughput in terms of notarised input states per second, we could batch transactions in the future. We tested batching with batch sizes of up to 1000 input states per batch. And reached a throughput of 2k input states / second for batch sizes 250-1000. When we detect a double spend attempt, we could send through individual transactions to find the source of the conflict or bisect the batch.
+
+## Long running test
+
+
+
+The figure above shows the throughput in transactions per second over four days, while writing to the cluster with up to three clients. The dips occur while we take nodes off-line to simulate failure and to upgrade the disks. In the last phase of the test all nodes were equipped with managed 1TB SSDs and and the cluster notarised at more than 300 input states per second while holding more than 100 M input states in the DB.
+
+Glitches in throughput can occur when the write queue of a node is filling up. I'm assuming this is due to increased disk latency when the cloud SAN disk is busy with other operations. When the maximum write queue size is reached, the slow node isn't accepting writes any more and sends out flow control messages to its peers to stop replicating (I'm assuming this leads to messages being queued in their send queue). The queue sizes are monitored by the PMM tool and we can setup alerts based on a configured maximum write queue size or when we see "flow control messages".
+
+We found that managed SSDs of 1TB in size performed better than a RAID 10 array of four 128GB SSDs. The latency of the 1TB SSDs was stable around 8ms, while we have observed latency spikes up to 64ms on the smaller SSDs. The disk load on the slowest node in terms of disk latency was around 6-8 outstanding writes during the last phase of the test. Setting up a RAID 10 was a mistake, for best performance we should have used a RAID 0 configuration, since the Azure disks are replicated.
+
+
+
+### Recommended Cloud Server Configuration
+
+We recommend `Standard DS13 v2 (8 cores, 56 GB memory)` servers with 1 TB managed SSD disks attached. To make the setup more cost effective, we can run on more affordable cloud instances, when we have lower demands in terms of throughput. The optimum is yet to be found. It is possible to upgrade or downgrade the nodes of the cluster, one node at a time.
+
+Be prepared to kill and replace the slowest node of the cluster, especially in the cloud, since the Galera cluster will not perform better than the slowest node. The same goes for SAN disks. If you are unlucky and your disk has high latency, try replacing it with a new one. Maybe your get better performance with your new disk.
+
+### Disk upgrade using LVM
+
+We recommend using LVM in production for convenience and flexibility. During our long running test we performed a hot disk upgrade using LVM.
diff --git a/docs/source/design/notaryServiceHA/diskload.png b/docs/source/design/notaryServiceHA/diskload.png
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diff --git a/docs/source/design/notaryServiceHA/galera-cluster.dot b/docs/source/design/notaryServiceHA/galera-cluster.dot
new file mode 100644
index 0000000000..180983b2d1
--- /dev/null
+++ b/docs/source/design/notaryServiceHA/galera-cluster.dot
@@ -0,0 +1,30 @@
+
+graph G {
+ concentrate=true;
+ graph [dpi=100, fontname="helvetica" ];
+ node [fontname="helvetica"];
+ edge [fontname="helvetica"];
+
+
+ subgraph cluster0 {
+ label="Galera Cluster";
+ color="lightgrey";
+
+ GaleraNode1 [label="Node 1\nSouth UK"];
+ GaleraNode2 [label="Node 2\nIreland"];
+ GaleraNode3 [label="Node 3\nNetherlands"];
+
+ GaleraNode1 -- GaleraNode2;
+ GaleraNode2 -- GaleraNode3;
+ GaleraNode1 -- GaleraNode3;
+ }
+
+ subgraph cluster1 {
+ label="Corda";
+ color="lightgrey";
+ NotaryNode [label="Notary Node\nJDBC Uniqueness Provider"];
+ }
+
+ NotaryNode -- GaleraNode1;
+}
+
diff --git a/docs/source/design/notaryServiceHA/galera-cluster.dot.png b/docs/source/design/notaryServiceHA/galera-cluster.dot.png
new file mode 100644
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literal 0
HcmV?d00001
From b031e66ab98d7296d1b7771f6856958fc2d2556d Mon Sep 17 00:00:00 2001
From: Shams Asari <shams.asari@r3.com>
Date: Tue, 15 May 2018 17:02:43 +0100
Subject: [PATCH 24/25] CORDA-1238: Updated JacksonSupport to support
SerializedBytes, CertPath, X509Certificate and the signature classes (#3145)
SerializedBytes are first converted to the object it represents before being serialised as a pojo.
These changes will be needed to support the the blob inspector when it will output to YAML/JSON.
---
.idea/compiler.xml | 117 +++++
.../corda/client/jackson/JacksonSupport.kt | 400 +++++++++++-------
.../client/jackson/internal/JacksonUtils.kt | 5 +
.../client/jackson/JacksonSupportTest.kt | 258 ++++++++---
.../jackson/class-not-on-classpath-data | Bin 0 -> 742 bytes
docs/source/changelog.rst | 5 +-
docs/source/shell.rst | 4 +-
7 files changed, 582 insertions(+), 207 deletions(-)
create mode 100644 client/jackson/src/test/resources/net/corda/client/jackson/class-not-on-classpath-data
diff --git a/.idea/compiler.xml b/.idea/compiler.xml
index e409e551c9..6891e6e828 100644
--- a/.idea/compiler.xml
+++ b/.idea/compiler.xml
@@ -4,28 +4,80 @@
<bytecodeTargetLevel target="1.8">
<module name="api-scanner_main" target="1.8" />
<module name="api-scanner_test" target="1.8" />
+ <module name="attachment-demo_integrationTest" target="1.8" />
+ <module name="attachment-demo_main" target="1.8" />
+ <module name="attachment-demo_test" target="1.8" />
+ <module name="bank-of-corda-demo_integrationTest" target="1.8" />
+ <module name="bank-of-corda-demo_main" target="1.8" />
+ <module name="bank-of-corda-demo_test" target="1.8" />
+ <module name="behave_behave" target="1.8" />
+ <module name="behave_main" target="1.8" />
<module name="behave_scenario" target="1.8" />
+ <module name="behave_test" target="1.8" />
+ <module name="blobinspector_main" target="1.8" />
+ <module name="blobinspector_test" target="1.8" />
+ <module name="bootstrapper_main" target="1.8" />
+ <module name="bootstrapper_test" target="1.8" />
+ <module name="buildSrc_main" target="1.8" />
+ <module name="buildSrc_test" target="1.8" />
+ <module name="canonicalizer_main" target="1.8" />
+ <module name="canonicalizer_test" target="1.8" />
+ <module name="client_main" target="1.8" />
+ <module name="client_test" target="1.8" />
+ <module name="confidential-identities_main" target="1.8" />
+ <module name="confidential-identities_test" target="1.8" />
<module name="contracts-states_integrationTest" target="1.8" />
+ <module name="contracts-states_main" target="1.8" />
+ <module name="contracts-states_test" target="1.8" />
<module name="corda-core_integrationTest" target="1.8" />
<module name="corda-core_smokeTest" target="1.8" />
<module name="corda-finance_integrationTest" target="1.8" />
+ <module name="corda-project_main" target="1.8" />
+ <module name="corda-project_test" target="1.8" />
<module name="corda-webserver_integrationTest" target="1.8" />
<module name="corda-webserver_main" target="1.8" />
<module name="corda-webserver_test" target="1.8" />
+ <module name="cordapp-configuration_main" target="1.8" />
+ <module name="cordapp-configuration_test" target="1.8" />
+ <module name="cordapp_integrationTest" target="1.8" />
<module name="cordform-common_main" target="1.8" />
<module name="cordform-common_test" target="1.8" />
<module name="cordformation_main" target="1.8" />
<module name="cordformation_runnodes" target="1.8" />
<module name="cordformation_test" target="1.8" />
<module name="core_extraResource" target="1.8" />
+ <module name="core_integrationTest" target="1.8" />
+ <module name="core_main" target="1.8" />
+ <module name="core_smokeTest" target="1.8" />
+ <module name="core_test" target="1.8" />
+ <module name="demobench_main" target="1.8" />
+ <module name="demobench_test" target="1.8" />
+ <module name="docs_main" target="1.8" />
<module name="docs_source_example-code_integrationTest" target="1.8" />
<module name="docs_source_example-code_main" target="1.8" />
<module name="docs_source_example-code_test" target="1.8" />
+ <module name="docs_test" target="1.8" />
+ <module name="example-code_integrationTest" target="1.8" />
+ <module name="example-code_main" target="1.8" />
+ <module name="example-code_test" target="1.8" />
<module name="experimental-kryo-hook_main" target="1.8" />
<module name="experimental-kryo-hook_test" target="1.8" />
+ <module name="experimental_main" target="1.8" />
+ <module name="experimental_test" target="1.8" />
+ <module name="explorer-capsule_main" target="1.6" />
+ <module name="explorer-capsule_test" target="1.6" />
+ <module name="explorer_main" target="1.8" />
+ <module name="explorer_test" target="1.8" />
+ <module name="finance_integrationTest" target="1.8" />
+ <module name="finance_main" target="1.8" />
+ <module name="finance_test" target="1.8" />
<module name="flows_integrationTest" target="1.8" />
+ <module name="flows_main" target="1.8" />
+ <module name="flows_test" target="1.8" />
<module name="gradle-plugins-cordapp_main" target="1.8" />
<module name="gradle-plugins-cordapp_test" target="1.8" />
+ <module name="graphs_main" target="1.8" />
+ <module name="graphs_test" target="1.8" />
<module name="irs-demo-cordapp_integrationTest" target="1.8" />
<module name="irs-demo-cordapp_main" target="1.8" />
<module name="irs-demo-cordapp_main~1" target="1.8" />
@@ -33,15 +85,68 @@
<module name="irs-demo-cordapp_test~1" target="1.8" />
<module name="irs-demo-web_main" target="1.8" />
<module name="irs-demo-web_test" target="1.8" />
+ <module name="irs-demo_integrationTest" target="1.8" />
+ <module name="irs-demo_main" target="1.8" />
+ <module name="irs-demo_systemTest" target="1.8" />
+ <module name="irs-demo_test" target="1.8" />
+ <module name="isolated_main" target="1.8" />
+ <module name="isolated_test" target="1.8" />
+ <module name="jackson_main" target="1.8" />
+ <module name="jackson_test" target="1.8" />
+ <module name="jfx_integrationTest" target="1.8" />
+ <module name="jfx_main" target="1.8" />
+ <module name="jfx_test" target="1.8" />
+ <module name="kryo-hook_main" target="1.8" />
+ <module name="kryo-hook_test" target="1.8" />
+ <module name="loadtest_main" target="1.8" />
+ <module name="loadtest_test" target="1.8" />
+ <module name="mock_main" target="1.8" />
+ <module name="mock_test" target="1.8" />
+ <module name="network-visualiser_main" target="1.8" />
+ <module name="network-visualiser_test" target="1.8" />
+ <module name="node-api_main" target="1.8" />
+ <module name="node-api_test" target="1.8" />
+ <module name="node-capsule_main" target="1.6" />
+ <module name="node-capsule_test" target="1.6" />
+ <module name="node-driver_integrationTest" target="1.8" />
+ <module name="node-driver_main" target="1.8" />
+ <module name="node-driver_test" target="1.8" />
+ <module name="node_integrationTest" target="1.8" />
+ <module name="node_main" target="1.8" />
<module name="node_smokeTest" target="1.8" />
+ <module name="node_test" target="1.8" />
+ <module name="notary-demo_main" target="1.8" />
+ <module name="notary-demo_test" target="1.8" />
<module name="publish-utils_main" target="1.8" />
<module name="publish-utils_test" target="1.8" />
+ <module name="quasar-hook_main" target="1.8" />
+ <module name="quasar-hook_test" target="1.8" />
<module name="quasar-utils_main" target="1.8" />
<module name="quasar-utils_test" target="1.8" />
+ <module name="rpc_integrationTest" target="1.8" />
+ <module name="rpc_main" target="1.8" />
+ <module name="rpc_smokeTest" target="1.8" />
+ <module name="rpc_test" target="1.8" />
+ <module name="samples_main" target="1.8" />
+ <module name="samples_test" target="1.8" />
+ <module name="sandbox_main" target="1.8" />
+ <module name="sandbox_test" target="1.8" />
+ <module name="shell_integrationTest" target="1.8" />
+ <module name="shell_main" target="1.8" />
+ <module name="shell_test" target="1.8" />
+ <module name="simm-valuation-demo_integrationTest" target="1.8" />
+ <module name="simm-valuation-demo_main" target="1.8" />
+ <module name="simm-valuation-demo_test" target="1.8" />
+ <module name="smoke-test-utils_main" target="1.8" />
+ <module name="smoke-test-utils_test" target="1.8" />
<module name="source-example-code_integrationTest" target="1.8" />
<module name="source-example-code_main" target="1.8" />
<module name="source-example-code_test" target="1.8" />
+ <module name="test-common_main" target="1.8" />
+ <module name="test-common_test" target="1.8" />
<module name="test-utils_integrationTest" target="1.8" />
+ <module name="test-utils_main" target="1.8" />
+ <module name="test-utils_test" target="1.8" />
<module name="testing-node-driver_integrationTest" target="1.8" />
<module name="testing-node-driver_main" target="1.8" />
<module name="testing-node-driver_test" target="1.8" />
@@ -51,11 +156,23 @@
<module name="testing-test-common_test" target="1.8" />
<module name="testing-test-utils_main" target="1.8" />
<module name="testing-test-utils_test" target="1.8" />
+ <module name="tools_main" target="1.8" />
+ <module name="tools_test" target="1.8" />
+ <module name="trader-demo_integrationTest" target="1.8" />
+ <module name="trader-demo_main" target="1.8" />
+ <module name="trader-demo_test" target="1.8" />
<module name="verifier_integrationTest" target="1.8" />
<module name="verifier_main" target="1.8" />
<module name="verifier_test" target="1.8" />
+ <module name="web_main" target="1.8" />
+ <module name="web_test" target="1.8" />
+ <module name="webcapsule_main" target="1.6" />
+ <module name="webcapsule_test" target="1.6" />
<module name="webserver-webcapsule_main" target="1.8" />
<module name="webserver-webcapsule_test" target="1.8" />
+ <module name="webserver_integrationTest" target="1.8" />
+ <module name="webserver_main" target="1.8" />
+ <module name="webserver_test" target="1.8" />
</bytecodeTargetLevel>
</component>
<component name="JavacSettings">
diff --git a/client/jackson/src/main/kotlin/net/corda/client/jackson/JacksonSupport.kt b/client/jackson/src/main/kotlin/net/corda/client/jackson/JacksonSupport.kt
index 23dd98f274..52fb4e141d 100644
--- a/client/jackson/src/main/kotlin/net/corda/client/jackson/JacksonSupport.kt
+++ b/client/jackson/src/main/kotlin/net/corda/client/jackson/JacksonSupport.kt
@@ -1,21 +1,20 @@
package net.corda.client.jackson
-import com.fasterxml.jackson.annotation.JsonIgnore
-import com.fasterxml.jackson.annotation.JsonProperty
+import com.fasterxml.jackson.annotation.*
import com.fasterxml.jackson.core.*
import com.fasterxml.jackson.databind.*
+import com.fasterxml.jackson.databind.annotation.JsonDeserialize
+import com.fasterxml.jackson.databind.annotation.JsonSerialize
import com.fasterxml.jackson.databind.deser.std.NumberDeserializers
-import com.fasterxml.jackson.databind.deser.std.StdDeserializer
import com.fasterxml.jackson.databind.module.SimpleModule
import com.fasterxml.jackson.databind.node.ObjectNode
-import com.fasterxml.jackson.databind.ser.std.StdSerializer
import com.fasterxml.jackson.datatype.jsr310.JavaTimeModule
import com.fasterxml.jackson.module.kotlin.KotlinModule
import com.fasterxml.jackson.module.kotlin.convertValue
-import net.corda.client.jackson.internal.addSerAndDeser
import net.corda.client.jackson.internal.jsonObject
import net.corda.client.jackson.internal.readValueAs
import net.corda.core.CordaInternal
+import net.corda.core.CordaOID
import net.corda.core.DoNotImplement
import net.corda.core.contracts.Amount
import net.corda.core.contracts.ContractState
@@ -23,24 +22,30 @@ import net.corda.core.contracts.StateRef
import net.corda.core.crypto.*
import net.corda.core.crypto.TransactionSignature
import net.corda.core.identity.*
+import net.corda.core.internal.CertRole
+import net.corda.core.internal.DigitalSignatureWithCert
import net.corda.core.internal.VisibleForTesting
import net.corda.core.internal.uncheckedCast
import net.corda.core.messaging.CordaRPCOps
import net.corda.core.node.NodeInfo
import net.corda.core.node.services.IdentityService
import net.corda.core.serialization.SerializedBytes
+import net.corda.core.serialization.deserialize
import net.corda.core.serialization.serialize
import net.corda.core.transactions.CoreTransaction
import net.corda.core.transactions.NotaryChangeWireTransaction
import net.corda.core.transactions.SignedTransaction
import net.corda.core.transactions.WireTransaction
-import net.corda.core.utilities.NetworkHostAndPort
-import net.corda.core.utilities.OpaqueBytes
-import net.corda.core.utilities.parsePublicKeyBase58
-import net.corda.core.utilities.toBase58String
+import net.corda.core.utilities.*
+import org.bouncycastle.asn1.x509.KeyPurposeId
+import java.lang.reflect.Modifier
import java.math.BigDecimal
import java.security.PublicKey
+import java.security.cert.CertPath
+import java.security.cert.CertificateFactory
+import java.security.cert.X509Certificate
import java.util.*
+import javax.security.auth.x500.X500Principal
/**
* Utilities and serialisers for working with JSON representations of basic types. This adds Jackson support for
@@ -90,25 +95,26 @@ object JacksonSupport {
val cordaModule: Module by lazy {
SimpleModule("core").apply {
- addSerAndDeser(AnonymousPartySerializer, AnonymousPartyDeserializer)
- addSerAndDeser(PartySerializer, PartyDeserializer)
- addDeserializer(AbstractParty::class.java, PartyDeserializer)
- addSerAndDeser<BigDecimal>(toStringSerializer, NumberDeserializers.BigDecimalDeserializer())
- addSerAndDeser<SecureHash.SHA256>(toStringSerializer, SecureHashDeserializer())
- addSerAndDeser(toStringSerializer, AmountDeserializer)
- addSerAndDeser(OpaqueBytesSerializer, OpaqueBytesDeserializer)
- addSerAndDeser(toStringSerializer, CordaX500NameDeserializer)
- addSerAndDeser(PublicKeySerializer, PublicKeyDeserializer)
- addDeserializer(CompositeKey::class.java, CompositeKeyDeseriaizer)
- addSerAndDeser(toStringSerializer, NetworkHostAndPortDeserializer)
- // TODO Add deserialization which follows the same lookup logic as Party
- addSerializer(PartyAndCertificate::class.java, PartyAndCertificateSerializer)
- addDeserializer(NodeInfo::class.java, NodeInfoDeserializer)
-
- listOf(TransactionSignatureSerde, SignedTransactionSerde).forEach { serde -> serde.applyTo(this) }
-
- // Using mixins to fine-tune the default serialised output
+ setMixInAnnotation(BigDecimal::class.java, BigDecimalMixin::class.java)
+ setMixInAnnotation(X500Principal::class.java, X500PrincipalMixin::class.java)
+ setMixInAnnotation(X509Certificate::class.java, X509CertificateMixin::class.java)
+ setMixInAnnotation(PartyAndCertificate::class.java, PartyAndCertificateSerializerMixin::class.java)
+ setMixInAnnotation(NetworkHostAndPort::class.java, NetworkHostAndPortMixin::class.java)
+ setMixInAnnotation(CordaX500Name::class.java, CordaX500NameMixin::class.java)
+ setMixInAnnotation(Amount::class.java, AmountMixin::class.java)
+ setMixInAnnotation(AbstractParty::class.java, AbstractPartyMixin::class.java)
+ setMixInAnnotation(AnonymousParty::class.java, AnonymousPartyMixin::class.java)
+ setMixInAnnotation(Party::class.java, PartyMixin::class.java)
+ setMixInAnnotation(PublicKey::class.java, PublicKeyMixin::class.java)
+ setMixInAnnotation(ByteSequence::class.java, ByteSequenceMixin::class.java)
+ setMixInAnnotation(SecureHash.SHA256::class.java, SecureHashSHA256Mixin::class.java)
+ setMixInAnnotation(SerializedBytes::class.java, SerializedBytesMixin::class.java)
+ setMixInAnnotation(DigitalSignature.WithKey::class.java, ByteSequenceWithPropertiesMixin::class.java)
+ setMixInAnnotation(DigitalSignatureWithCert::class.java, ByteSequenceWithPropertiesMixin::class.java)
+ setMixInAnnotation(TransactionSignature::class.java, ByteSequenceWithPropertiesMixin::class.java)
+ setMixInAnnotation(SignedTransaction::class.java, SignedTransactionMixin2::class.java)
setMixInAnnotation(WireTransaction::class.java, WireTransactionMixin::class.java)
+ setMixInAnnotation(CertPath::class.java, CertPathMixin::class.java)
setMixInAnnotation(NodeInfo::class.java, NodeInfoMixin::class.java)
}
}
@@ -171,7 +177,13 @@ object JacksonSupport {
}
}
- private val toStringSerializer = com.fasterxml.jackson.databind.ser.std.ToStringSerializer.instance
+ @JacksonAnnotationsInside
+ @JsonSerialize(using = com.fasterxml.jackson.databind.ser.std.ToStringSerializer::class)
+ private annotation class ToStringSerialize
+
+ @ToStringSerialize
+ @JsonDeserialize(using = NumberDeserializers.BigDecimalDeserializer::class)
+ private interface BigDecimalMixin
private object DateSerializer : JsonSerializer<Date>() {
override fun serialize(value: Date, gen: JsonGenerator, serializers: SerializerProvider) {
@@ -179,20 +191,21 @@ object JacksonSupport {
}
}
- private object NetworkHostAndPortDeserializer : JsonDeserializer<NetworkHostAndPort>() {
+ @ToStringSerialize
+ @JsonDeserialize(using = NetworkHostAndPortDeserializer::class)
+ private interface NetworkHostAndPortMixin
+
+ private class NetworkHostAndPortDeserializer : JsonDeserializer<NetworkHostAndPort>() {
override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): NetworkHostAndPort {
return NetworkHostAndPort.parse(parser.text)
}
}
- private object CompositeKeyDeseriaizer : JsonDeserializer<CompositeKey>() {
- override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): CompositeKey {
- val publicKey = parser.readValueAs<PublicKey>()
- return publicKey as? CompositeKey ?: throw JsonParseException(parser, "Not a CompositeKey: $publicKey")
- }
- }
+ @JsonSerialize(using = PartyAndCertificateSerializer::class)
+ // TODO Add deserialization which follows the same lookup logic as Party
+ private interface PartyAndCertificateSerializerMixin
- private object PartyAndCertificateSerializer : JsonSerializer<PartyAndCertificate>() {
+ private class PartyAndCertificateSerializer : JsonSerializer<PartyAndCertificate>() {
override fun serialize(value: PartyAndCertificate, gen: JsonGenerator, serializers: SerializerProvider) {
gen.jsonObject {
writeObjectField("name", value.name)
@@ -202,100 +215,146 @@ object JacksonSupport {
}
}
- @Suppress("unused")
- private interface NodeInfoMixin {
- @get:JsonIgnore val legalIdentities: Any // This is already covered by legalIdentitiesAndCerts
+ @JsonSerialize(using = SignedTransactionSerializer::class)
+ @JsonDeserialize(using = SignedTransactionDeserializer::class)
+ private interface SignedTransactionMixin2
+
+ private class SignedTransactionSerializer : JsonSerializer<SignedTransaction>() {
+ override fun serialize(value: SignedTransaction, gen: JsonGenerator, serializers: SerializerProvider) {
+ gen.writeObject(SignedTransactionWrapper(value.txBits.bytes, value.sigs))
+ }
}
- private interface JsonSerde<TYPE> {
- val type: Class<TYPE>
- val serializer: JsonSerializer<TYPE>
- val deserializer: JsonDeserializer<TYPE>
+ private class SignedTransactionDeserializer : JsonDeserializer<SignedTransaction>() {
+ override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): SignedTransaction {
+ val wrapper = parser.readValueAs<SignedTransactionWrapper>()
+ return SignedTransaction(SerializedBytes(wrapper.txBits), wrapper.signatures)
+ }
+ }
- fun applyTo(module: SimpleModule) {
- with(module) {
- addSerializer(type, serializer)
- addDeserializer(type, deserializer)
+ private class SignedTransactionWrapper(val txBits: ByteArray, val signatures: List<TransactionSignature>)
+
+ @JsonSerialize(using = SerializedBytesSerializer::class)
+ @JsonDeserialize(using = SerializedBytesDeserializer::class)
+ private class SerializedBytesMixin
+
+ private class SerializedBytesSerializer : JsonSerializer<SerializedBytes<*>>() {
+ override fun serialize(value: SerializedBytes<*>, gen: JsonGenerator, serializers: SerializerProvider) {
+ val deserialized = value.deserialize<Any>()
+ gen.jsonObject {
+ writeStringField("class", deserialized.javaClass.name)
+ writeObjectField("deserialized", deserialized)
}
}
}
- private inline fun <reified RESULT> JsonNode.get(fieldName: String, condition: (JsonNode) -> Boolean, mapper: ObjectMapper, parser: JsonParser): RESULT {
- if (get(fieldName)?.let(condition) != true) {
- JsonParseException(parser, "Missing required object field \"$fieldName\".")
- }
- return mapper.treeToValue(get(fieldName), RESULT::class.java)
- }
-
- private object TransactionSignatureSerde : JsonSerde<TransactionSignature> {
- override val type: Class<TransactionSignature> = TransactionSignature::class.java
-
- override val serializer = object : StdSerializer<TransactionSignature>(type) {
- override fun serialize(value: TransactionSignature, gen: JsonGenerator, serializers: SerializerProvider) {
- gen.jsonObject {
- writeObjectField("by", value.by)
- writeObjectField("signatureMetadata", value.signatureMetadata)
- writeObjectField("bytes", value.bytes)
- writeObjectField("partialMerkleTree", value.partialMerkleTree)
- }
- }
- }
-
- override val deserializer = object : StdDeserializer<TransactionSignature>(type) {
- override fun deserialize(parser: JsonParser, context: DeserializationContext): TransactionSignature {
+ private class SerializedBytesDeserializer : JsonDeserializer<SerializedBytes<*>>() {
+ override fun deserialize(parser: JsonParser, context: DeserializationContext): SerializedBytes<Any> {
+ return if (parser.currentToken == JsonToken.START_OBJECT) {
val mapper = parser.codec as ObjectMapper
- val json = mapper.readTree<JsonNode>(parser)
- val by = mapper.convertValue<PublicKey>(json["by"])
- val signatureMetadata = json.get<SignatureMetadata>("signatureMetadata", JsonNode::isObject, mapper, parser)
- val bytes = json.get<ByteArray>("bytes", JsonNode::isObject, mapper, parser)
- val partialMerkleTree = json.get<PartialMerkleTree>("partialMerkleTree", JsonNode::isObject, mapper, parser)
-
- return TransactionSignature(bytes, by, signatureMetadata, partialMerkleTree)
+ val json = parser.readValueAsTree<ObjectNode>()
+ val clazz = context.findClass(json["class"].textValue())
+ val pojo = mapper.convertValue(json["deserialized"], clazz)
+ pojo.serialize()
+ } else {
+ SerializedBytes(parser.binaryValue)
}
}
}
- private object SignedTransactionSerde : JsonSerde<SignedTransaction> {
- override val type: Class<SignedTransaction> = SignedTransaction::class.java
+ @ToStringSerialize
+ private interface X500PrincipalMixin
- override val serializer = object : StdSerializer<SignedTransaction>(type) {
- override fun serialize(value: SignedTransaction, gen: JsonGenerator, serializers: SerializerProvider) {
- gen.jsonObject {
- writeObjectField("txBits", value.txBits.bytes)
- writeObjectField("signatures", value.sigs)
+ @JsonSerialize(using = X509CertificateSerializer::class)
+ @JsonDeserialize(using = X509CertificateDeserializer::class)
+ private interface X509CertificateMixin
+
+ private object X509CertificateSerializer : JsonSerializer<X509Certificate>() {
+ val keyUsages = arrayOf(
+ "digitalSignature",
+ "nonRepudiation",
+ "keyEncipherment",
+ "dataEncipherment",
+ "keyAgreement",
+ "keyCertSign",
+ "cRLSign",
+ "encipherOnly",
+ "decipherOnly"
+ )
+
+ val keyPurposeIds = KeyPurposeId::class.java
+ .fields
+ .filter { Modifier.isStatic(it.modifiers) && it.type == KeyPurposeId::class.java }
+ .associateBy({ (it.get(null) as KeyPurposeId).id }, { it.name })
+
+ val knownExtensions = setOf("2.5.29.15", "2.5.29.37", "2.5.29.19", "2.5.29.17", "2.5.29.18", CordaOID.X509_EXTENSION_CORDA_ROLE)
+
+ override fun serialize(value: X509Certificate, gen: JsonGenerator, serializers: SerializerProvider) {
+ gen.jsonObject {
+ writeNumberField("version", value.version)
+ writeObjectField("serialNumber", value.serialNumber)
+ writeObjectField("subject", value.subjectX500Principal)
+ writeObjectField("publicKey", value.publicKey)
+ writeObjectField("issuer", value.issuerX500Principal)
+ writeObjectField("notBefore", value.notBefore)
+ writeObjectField("notAfter", value.notAfter)
+ writeObjectField("issuerUniqueID", value.issuerUniqueID)
+ writeObjectField("subjectUniqueID", value.subjectUniqueID)
+ writeObjectField("keyUsage", value.keyUsage?.asList()?.mapIndexedNotNull { i, flag -> if (flag) keyUsages[i] else null })
+ writeObjectField("extendedKeyUsage", value.extendedKeyUsage.map { keyPurposeIds.getOrDefault(it, it) })
+ jsonObject("basicConstraints") {
+ writeBooleanField("isCA", value.basicConstraints != -1)
+ writeObjectField("pathLength", value.basicConstraints.let { if (it != Int.MAX_VALUE) it else null })
}
+ writeObjectField("subjectAlternativeNames", value.subjectAlternativeNames)
+ writeObjectField("issuerAlternativeNames", value.issuerAlternativeNames)
+ writeObjectField("cordaCertRole", CertRole.extract(value))
+ writeObjectField("otherCriticalExtensions", value.criticalExtensionOIDs - knownExtensions)
+ writeObjectField("otherNonCriticalExtensions", value.nonCriticalExtensionOIDs - knownExtensions)
+ writeBinaryField("encoded", value.encoded)
}
}
-
- override val deserializer = object : StdDeserializer<SignedTransaction>(type) {
- override fun deserialize(parser: JsonParser, context: DeserializationContext): SignedTransaction {
- val mapper = parser.codec as ObjectMapper
- val json = mapper.readTree<JsonNode>(parser)
-
- val txBits = json.get<ByteArray>("txBits", JsonNode::isTextual, mapper, parser)
- val signatures = json.get<TransactionSignatures>("signatures", JsonNode::isArray, mapper, parser)
-
- return SignedTransaction(SerializedBytes(txBits), signatures)
- }
- }
-
- private class TransactionSignatures : ArrayList<TransactionSignature>()
}
-
-
- //
- // The following should not have been made public and are thus deprecated with warnings.
- //
-
- @Deprecated("No longer used as jackson already has a toString serializer",
- replaceWith = ReplaceWith("com.fasterxml.jackson.databind.ser.std.ToStringSerializer.instance"))
- object ToStringSerializer : JsonSerializer<Any>() {
- override fun serialize(obj: Any, generator: JsonGenerator, provider: SerializerProvider) {
- generator.writeString(obj.toString())
+ private class X509CertificateDeserializer : JsonDeserializer<X509Certificate>() {
+ private val certFactory = CertificateFactory.getInstance("X.509")
+ override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): X509Certificate {
+ val encoded = parser.readValueAsTree<ObjectNode>()["encoded"]
+ return certFactory.generateCertificate(encoded.binaryValue().inputStream()) as X509Certificate
}
}
+ @JsonSerialize(using = CertPathSerializer::class)
+ @JsonDeserialize(using = CertPathDeserializer::class)
+ private interface CertPathMixin
+
+ private class CertPathSerializer : JsonSerializer<CertPath>() {
+ override fun serialize(value: CertPath, gen: JsonGenerator, serializers: SerializerProvider) {
+ gen.writeObject(CertPathWrapper(value.type, uncheckedCast(value.certificates)))
+ }
+ }
+
+ private class CertPathDeserializer : JsonDeserializer<CertPath>() {
+ private val certFactory = CertificateFactory.getInstance("X.509")
+ override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): CertPath {
+ val wrapper = parser.readValueAs<CertPathWrapper>()
+ return certFactory.generateCertPath(wrapper.certificates)
+ }
+ }
+
+ private data class CertPathWrapper(val type: String, val certificates: List<X509Certificate>) {
+ init {
+ require(type == "X.509") { "Only X.509 cert paths are supported" }
+ }
+ }
+
+ @JsonDeserialize(using = PartyDeserializer::class)
+ private interface AbstractPartyMixin
+
+ @JsonSerialize(using = AnonymousPartySerializer::class)
+ @JsonDeserialize(using = AnonymousPartyDeserializer::class)
+ private interface AnonymousPartyMixin
+
@Deprecated("This is an internal class, do not use")
object AnonymousPartySerializer : JsonSerializer<AnonymousParty>() {
override fun serialize(value: AnonymousParty, generator: JsonGenerator, provider: SerializerProvider) {
@@ -310,6 +369,9 @@ object JacksonSupport {
}
}
+ @JsonSerialize(using = PartySerializer::class)
+ private interface PartyMixin
+
@Deprecated("This is an internal class, do not use")
object PartySerializer : JsonSerializer<Party>() {
override fun serialize(value: Party, generator: JsonGenerator, provider: SerializerProvider) {
@@ -344,13 +406,9 @@ object JacksonSupport {
}
}
- @Deprecated("This is an internal class, do not use")
- // This is no longer used
- object CordaX500NameSerializer : JsonSerializer<CordaX500Name>() {
- override fun serialize(obj: CordaX500Name, generator: JsonGenerator, provider: SerializerProvider) {
- generator.writeString(obj.toString())
- }
- }
+ @ToStringSerialize
+ @JsonDeserialize(using = CordaX500NameDeserializer::class)
+ private interface CordaX500NameMixin
@Deprecated("This is an internal class, do not use")
object CordaX500NameDeserializer : JsonDeserializer<CordaX500Name>() {
@@ -363,13 +421,9 @@ object JacksonSupport {
}
}
- @Deprecated("This is an internal class, do not use")
- // This is no longer used
- object NodeInfoSerializer : JsonSerializer<NodeInfo>() {
- override fun serialize(value: NodeInfo, gen: JsonGenerator, serializers: SerializerProvider) {
- gen.writeString(Base58.encode(value.serialize().bytes))
- }
- }
+ @JsonIgnoreProperties("legalIdentities") // This is already covered by legalIdentitiesAndCerts
+ @JsonDeserialize(using = NodeInfoDeserializer::class)
+ private interface NodeInfoMixin
@Deprecated("This is an internal class, do not use")
object NodeInfoDeserializer : JsonDeserializer<NodeInfo>() {
@@ -380,17 +434,10 @@ object JacksonSupport {
}
}
- @Deprecated("This is an internal class, do not use")
- // This is no longer used
- object SecureHashSerializer : JsonSerializer<SecureHash>() {
- override fun serialize(obj: SecureHash, generator: JsonGenerator, provider: SerializerProvider) {
- generator.writeString(obj.toString())
- }
- }
+ @ToStringSerialize
+ @JsonDeserialize(using = SecureHashDeserializer::class)
+ private interface SecureHashSHA256Mixin
- /**
- * Implemented as a class so that we can instantiate for T.
- */
@Deprecated("This is an internal class, do not use")
class SecureHashDeserializer<T : SecureHash> : JsonDeserializer<T>() {
override fun deserialize(parser: JsonParser, context: DeserializationContext): T {
@@ -402,6 +449,10 @@ object JacksonSupport {
}
}
+ @JsonSerialize(using = PublicKeySerializer::class)
+ @JsonDeserialize(using = PublicKeyDeserializer::class)
+ private interface PublicKeyMixin
+
@Deprecated("This is an internal class, do not use")
object PublicKeySerializer : JsonSerializer<PublicKey>() {
override fun serialize(value: PublicKey, generator: JsonGenerator, provider: SerializerProvider) {
@@ -420,13 +471,9 @@ object JacksonSupport {
}
}
- @Deprecated("This is an internal class, do not use")
- // This is no longer used
- object AmountSerializer : JsonSerializer<Amount<*>>() {
- override fun serialize(value: Amount<*>, gen: JsonGenerator, serializers: SerializerProvider) {
- gen.writeString(value.toString())
- }
- }
+ @ToStringSerialize
+ @JsonDeserialize(using = AmountDeserializer::class)
+ private interface AmountMixin
@Deprecated("This is an internal class, do not use")
object AmountDeserializer : JsonDeserializer<Amount<*>>() {
@@ -434,20 +481,30 @@ object JacksonSupport {
return if (parser.currentToken == JsonToken.VALUE_STRING) {
Amount.parseCurrency(parser.text)
} else {
- try {
- val tree = parser.readValueAsTree<ObjectNode>()
- val quantity = tree["quantity"].apply { require(canConvertToLong()) }
- val token = tree["token"]
- // Attempt parsing as a currency token. TODO: This needs thought about how to extend to other token types.
- val currency = (parser.codec as ObjectMapper).convertValue<Currency>(token)
- Amount(quantity.longValue(), currency)
- } catch (e: Exception) {
- throw JsonParseException(parser, "Invalid amount", e)
- }
+ val wrapper = parser.readValueAs<CurrencyAmountWrapper>()
+ Amount(wrapper.quantity, wrapper.token)
}
}
}
+ private data class CurrencyAmountWrapper(val quantity: Long, val token: Currency)
+
+ @JsonDeserialize(using = OpaqueBytesDeserializer::class)
+ private interface ByteSequenceMixin {
+ @Suppress("unused")
+ @JsonValue
+ fun copyBytes(): ByteArray
+ }
+
+ @JsonIgnoreProperties("offset", "size")
+ @JsonSerialize
+ @JsonDeserialize
+ private interface ByteSequenceWithPropertiesMixin {
+ @Suppress("unused")
+ @JsonValue(false)
+ fun copyBytes(): ByteArray
+ }
+
@Deprecated("This is an internal class, do not use")
object OpaqueBytesDeserializer : JsonDeserializer<OpaqueBytes>() {
override fun deserialize(parser: JsonParser, ctxt: DeserializationContext): OpaqueBytes {
@@ -455,6 +512,47 @@ object JacksonSupport {
}
}
+
+ //
+ // Everything below this point is no longer used but can't be deleted as they leaked into the public API
+ //
+
+ @Deprecated("No longer used as jackson already has a toString serializer",
+ replaceWith = ReplaceWith("com.fasterxml.jackson.databind.ser.std.ToStringSerializer.instance"))
+ object ToStringSerializer : JsonSerializer<Any>() {
+ override fun serialize(obj: Any, generator: JsonGenerator, provider: SerializerProvider) {
+ generator.writeString(obj.toString())
+ }
+ }
+
+ @Deprecated("This is an internal class, do not use")
+ object CordaX500NameSerializer : JsonSerializer<CordaX500Name>() {
+ override fun serialize(obj: CordaX500Name, generator: JsonGenerator, provider: SerializerProvider) {
+ generator.writeString(obj.toString())
+ }
+ }
+
+ @Deprecated("This is an internal class, do not use")
+ object NodeInfoSerializer : JsonSerializer<NodeInfo>() {
+ override fun serialize(value: NodeInfo, gen: JsonGenerator, serializers: SerializerProvider) {
+ gen.writeString(Base58.encode(value.serialize().bytes))
+ }
+ }
+
+ @Deprecated("This is an internal class, do not use")
+ object SecureHashSerializer : JsonSerializer<SecureHash>() {
+ override fun serialize(obj: SecureHash, generator: JsonGenerator, provider: SerializerProvider) {
+ generator.writeString(obj.toString())
+ }
+ }
+
+ @Deprecated("This is an internal class, do not use")
+ object AmountSerializer : JsonSerializer<Amount<*>>() {
+ override fun serialize(value: Amount<*>, gen: JsonGenerator, serializers: SerializerProvider) {
+ gen.writeString(value.toString())
+ }
+ }
+
@Deprecated("This is an internal class, do not use")
object OpaqueBytesSerializer : JsonSerializer<OpaqueBytes>() {
override fun serialize(value: OpaqueBytes, gen: JsonGenerator, serializers: SerializerProvider) {
@@ -467,7 +565,7 @@ object JacksonSupport {
abstract class SignedTransactionMixin {
@JsonIgnore abstract fun getTxBits(): SerializedBytes<CoreTransaction>
@JsonProperty("signatures") protected abstract fun getSigs(): List<TransactionSignature>
- @JsonProperty protected abstract fun getTransaction(): CoreTransaction // TODO It seems this should be coreTransaction
+ @JsonProperty protected abstract fun getTransaction(): CoreTransaction
@JsonIgnore abstract fun getTx(): WireTransaction
@JsonIgnore abstract fun getNotaryChangeTx(): NotaryChangeWireTransaction
@JsonIgnore abstract fun getInputs(): List<StateRef>
diff --git a/client/jackson/src/main/kotlin/net/corda/client/jackson/internal/JacksonUtils.kt b/client/jackson/src/main/kotlin/net/corda/client/jackson/internal/JacksonUtils.kt
index 04284557e9..a1d718193a 100644
--- a/client/jackson/src/main/kotlin/net/corda/client/jackson/internal/JacksonUtils.kt
+++ b/client/jackson/src/main/kotlin/net/corda/client/jackson/internal/JacksonUtils.kt
@@ -3,8 +3,11 @@ package net.corda.client.jackson.internal
import com.fasterxml.jackson.core.JsonGenerator
import com.fasterxml.jackson.core.JsonParser
import com.fasterxml.jackson.databind.JsonDeserializer
+import com.fasterxml.jackson.databind.JsonNode
import com.fasterxml.jackson.databind.JsonSerializer
+import com.fasterxml.jackson.databind.ObjectMapper
import com.fasterxml.jackson.databind.module.SimpleModule
+import com.fasterxml.jackson.module.kotlin.convertValue
inline fun <reified T : Any> SimpleModule.addSerAndDeser(serializer: JsonSerializer<in T>, deserializer: JsonDeserializer<T>) {
addSerializer(T::class.java, serializer)
@@ -19,3 +22,5 @@ inline fun JsonGenerator.jsonObject(fieldName: String? = null, gen: JsonGenerato
}
inline fun <reified T> JsonParser.readValueAs(): T = readValueAs(T::class.java)
+
+inline fun <reified T : Any> JsonNode.valueAs(mapper: ObjectMapper): T = mapper.convertValue(this)
diff --git a/client/jackson/src/test/kotlin/net/corda/client/jackson/JacksonSupportTest.kt b/client/jackson/src/test/kotlin/net/corda/client/jackson/JacksonSupportTest.kt
index 196e610164..7c1eda8cce 100644
--- a/client/jackson/src/test/kotlin/net/corda/client/jackson/JacksonSupportTest.kt
+++ b/client/jackson/src/test/kotlin/net/corda/client/jackson/JacksonSupportTest.kt
@@ -1,13 +1,15 @@
package net.corda.client.jackson
-import com.fasterxml.jackson.databind.SerializationFeature
-import com.fasterxml.jackson.databind.node.ArrayNode
+import com.fasterxml.jackson.core.JsonFactory
+import com.fasterxml.jackson.databind.JsonNode
import com.fasterxml.jackson.databind.node.BinaryNode
import com.fasterxml.jackson.databind.node.ObjectNode
import com.fasterxml.jackson.databind.node.TextNode
+import com.fasterxml.jackson.dataformat.yaml.YAMLFactory
import com.fasterxml.jackson.module.kotlin.convertValue
import com.nhaarman.mockito_kotlin.doReturn
import com.nhaarman.mockito_kotlin.whenever
+import net.corda.client.jackson.internal.valueAs
import net.corda.core.contracts.Amount
import net.corda.core.cordapp.CordappProvider
import net.corda.core.crypto.*
@@ -16,14 +18,16 @@ import net.corda.core.identity.AbstractParty
import net.corda.core.identity.AnonymousParty
import net.corda.core.identity.CordaX500Name
import net.corda.core.identity.Party
+import net.corda.core.internal.DigitalSignatureWithCert
import net.corda.core.node.NodeInfo
import net.corda.core.node.ServiceHub
+import net.corda.core.serialization.CordaSerializable
+import net.corda.core.serialization.SerializedBytes
+import net.corda.core.serialization.serialize
import net.corda.core.transactions.SignedTransaction
-import net.corda.core.utilities.NetworkHostAndPort
-import net.corda.core.utilities.OpaqueBytes
-import net.corda.core.utilities.toBase58String
-import net.corda.core.utilities.toBase64
+import net.corda.core.utilities.*
import net.corda.finance.USD
+import net.corda.nodeapi.internal.crypto.x509Certificates
import net.corda.testing.common.internal.testNetworkParameters
import net.corda.testing.contracts.DummyContract
import net.corda.testing.core.*
@@ -34,19 +38,29 @@ import org.assertj.core.api.Assertions.assertThatThrownBy
import org.junit.Before
import org.junit.Rule
import org.junit.Test
+import org.junit.runner.RunWith
+import org.junit.runners.Parameterized
+import org.junit.runners.Parameterized.Parameters
import java.math.BigInteger
import java.security.PublicKey
+import java.security.cert.CertPath
+import java.security.cert.X509Certificate
import java.util.*
+import javax.security.auth.x500.X500Principal
import kotlin.collections.ArrayList
-import kotlin.test.assertEquals
-class JacksonSupportTest {
+@RunWith(Parameterized::class)
+class JacksonSupportTest(@Suppress("unused") private val name: String, factory: JsonFactory) {
private companion object {
val SEED: BigInteger = BigInteger.valueOf(20170922L)
val ALICE_PUBKEY = TestIdentity(ALICE_NAME, 70).publicKey
val BOB_PUBKEY = TestIdentity(BOB_NAME, 70).publicKey
val DUMMY_NOTARY = TestIdentity(DUMMY_NOTARY_NAME, 20).party
val MINI_CORP = TestIdentity(CordaX500Name("MiniCorp", "London", "GB"))
+
+ @Parameters(name = "{0}")
+ @JvmStatic
+ fun factories() = arrayOf(arrayOf("JSON", JsonFactory()), arrayOf("YAML", YAMLFactory()))
}
@Rule
@@ -54,7 +68,7 @@ class JacksonSupportTest {
val testSerialization = SerializationEnvironmentRule()
private val partyObjectMapper = TestPartyObjectMapper()
- private val mapper = JacksonSupport.createPartyObjectMapper(partyObjectMapper)
+ private val mapper = JacksonSupport.createPartyObjectMapper(partyObjectMapper, factory)
private lateinit var services: ServiceHub
private lateinit var cordappProvider: CordappProvider
@@ -66,44 +80,29 @@ class JacksonSupportTest {
doReturn(cordappProvider).whenever(services).cordappProvider
}
- private class Dummy(val notional: Amount<Currency>)
-
@Test
- fun `read Amount`() {
- val oldJson = """
- {
- "notional": {
- "quantity": 2500000000,
- "token": "USD"
- }
- }
- """
- val newJson = """ { "notional" : "$25000000" } """
-
- assertEquals(Amount(2500000000L, USD), mapper.readValue(newJson, Dummy::class.java).notional)
- assertEquals(Amount(2500000000L, USD), mapper.readValue(oldJson, Dummy::class.java).notional)
+ fun `Amount(Currency) serialization`() {
+ assertThat(mapper.valueToTree<TextNode>(Amount.parseCurrency("£25000000")).textValue()).isEqualTo("25000000.00 GBP")
+ assertThat(mapper.valueToTree<TextNode>(Amount.parseCurrency("$250000")).textValue()).isEqualTo("250000.00 USD")
}
@Test
- fun `write Amount`() {
- val writer = mapper.writer().without(SerializationFeature.INDENT_OUTPUT)
- assertEquals("""{"notional":"25000000.00 GBP"}""", writer.writeValueAsString(Dummy(Amount.parseCurrency("£25000000"))))
- assertEquals("""{"notional":"250000.00 USD"}""", writer.writeValueAsString(Dummy(Amount.parseCurrency("$250000"))))
+ fun `Amount(Currency) deserialization`() {
+ val old = mapOf(
+ "quantity" to 2500000000,
+ "token" to "USD"
+ )
+ assertThat(mapper.convertValue<Amount<Currency>>(old)).isEqualTo(Amount(2_500_000_000, USD))
+ assertThat(mapper.convertValue<Amount<Currency>>(TextNode("$25000000"))).isEqualTo(Amount(2_500_000_000, USD))
}
@Test
- fun SignedTransaction() {
- val attachmentRef = SecureHash.randomSHA256()
- doReturn(attachmentRef).whenever(cordappProvider).getContractAttachmentID(DummyContract.PROGRAM_ID)
- doReturn(testNetworkParameters()).whenever(services).networkParameters
-
- val writer = mapper.writer()
- val stx = makeDummyStx()
- val json = writer.writeValueAsString(stx)
-
- val deserializedTransaction = mapper.readValue(json, SignedTransaction::class.java)
-
- assertThat(deserializedTransaction).isEqualTo(stx)
+ fun ByteSequence() {
+ val byteSequence: ByteSequence = OpaqueBytes.of(1, 2, 3, 4).subSequence(0, 2)
+ val json = mapper.valueToTree<BinaryNode>(byteSequence)
+ assertThat(json.binaryValue()).containsExactly(1, 2)
+ assertThat(json.asText()).isEqualTo(byteArrayOf(1, 2).toBase64())
+ assertThat(mapper.convertValue<ByteSequence>(json)).isEqualTo(byteSequence)
}
@Test
@@ -115,6 +114,105 @@ class JacksonSupportTest {
assertThat(mapper.convertValue<OpaqueBytes>(json)).isEqualTo(opaqueBytes)
}
+ @Test
+ fun SerializedBytes() {
+ val data = TestData(BOB_NAME, "Summary", SubTestData(1234))
+ val serializedBytes = data.serialize()
+ val json = mapper.valueToTree<ObjectNode>(serializedBytes)
+ println(mapper.writeValueAsString(json))
+ assertThat(json["class"].textValue()).isEqualTo(TestData::class.java.name)
+ assertThat(json["deserialized"].valueAs<TestData>(mapper)).isEqualTo(data)
+ // Check that the entire JSON object can be converted back to the same SerializedBytes
+ assertThat(mapper.convertValue<SerializedBytes<*>>(json)).isEqualTo(serializedBytes)
+ assertThat(mapper.convertValue<SerializedBytes<*>>(BinaryNode(serializedBytes.bytes))).isEqualTo(serializedBytes)
+ }
+
+ // This is the class that was used to serialise the message for the test below. It's commented out so that it's no
+ // longer on the classpath.
+// @CordaSerializable
+// data class ClassNotOnClasspath(val name: CordaX500Name, val value: Int)
+
+ @Test
+ fun `SerializedBytes of class not on classpath`() {
+ // The contents of the file were written out as follows:
+// ClassNotOnClasspath(BOB_NAME, 54321).serialize().open().copyTo("build" / "class-not-on-classpath-data")
+
+ val serializedBytes = SerializedBytes<Any>(javaClass.getResource("class-not-on-classpath-data").readBytes())
+ val json = mapper.valueToTree<ObjectNode>(serializedBytes)
+ println(mapper.writeValueAsString(json))
+ assertThat(json["class"].textValue()).isEqualTo("net.corda.client.jackson.JacksonSupportTest\$ClassNotOnClasspath")
+ assertThat(json["deserialized"].valueAs<Map<*, *>>(mapper)).isEqualTo(mapOf(
+ "name" to BOB_NAME.toString(),
+ "value" to 54321
+ ))
+ assertThat(mapper.convertValue<SerializedBytes<*>>(BinaryNode(serializedBytes.bytes))).isEqualTo(serializedBytes)
+ }
+
+ @Test
+ fun DigitalSignature() {
+ val digitalSignature = DigitalSignature(secureRandomBytes(128))
+ val json = mapper.valueToTree<BinaryNode>(digitalSignature)
+ assertThat(json.binaryValue()).isEqualTo(digitalSignature.bytes)
+ assertThat(json.asText()).isEqualTo(digitalSignature.bytes.toBase64())
+ assertThat(mapper.convertValue<DigitalSignature>(json)).isEqualTo(digitalSignature)
+ }
+
+ @Test
+ fun `DigitalSignature WithKey`() {
+ val digitalSignature = DigitalSignature.WithKey(BOB_PUBKEY, secureRandomBytes(128))
+ val json = mapper.valueToTree<ObjectNode>(digitalSignature)
+ val (by, bytes) = json.assertHasOnlyFields("by", "bytes")
+ assertThat(by.valueAs<PublicKey>(mapper)).isEqualTo(BOB_PUBKEY)
+ assertThat(bytes.binaryValue()).isEqualTo(digitalSignature.bytes)
+ assertThat(mapper.convertValue<DigitalSignature.WithKey>(json)).isEqualTo(digitalSignature)
+ }
+
+ @Test
+ fun DigitalSignatureWithCert() {
+ val digitalSignature = DigitalSignatureWithCert(MINI_CORP.identity.certificate, secureRandomBytes(128))
+ val json = mapper.valueToTree<ObjectNode>(digitalSignature)
+ val (by, bytes) = json.assertHasOnlyFields("by", "bytes")
+ assertThat(by.valueAs<X509Certificate>(mapper)).isEqualTo(MINI_CORP.identity.certificate)
+ assertThat(bytes.binaryValue()).isEqualTo(digitalSignature.bytes)
+ assertThat(mapper.convertValue<DigitalSignatureWithCert>(json)).isEqualTo(digitalSignature)
+ }
+
+ @Test
+ fun TransactionSignature() {
+ val metadata = SignatureMetadata(1, 1)
+ val transactionSignature = TransactionSignature(secureRandomBytes(128), BOB_PUBKEY, metadata)
+ val json = mapper.valueToTree<ObjectNode>(transactionSignature)
+ val (bytes, by, signatureMetadata, partialMerkleTree) = json.assertHasOnlyFields(
+ "bytes",
+ "by",
+ "signatureMetadata",
+ "partialMerkleTree"
+ )
+ assertThat(bytes.binaryValue()).isEqualTo(transactionSignature.bytes)
+ assertThat(by.valueAs<PublicKey>(mapper)).isEqualTo(BOB_PUBKEY)
+ assertThat(signatureMetadata.valueAs<SignatureMetadata>(mapper)).isEqualTo(metadata)
+ assertThat(partialMerkleTree.isNull).isTrue()
+ assertThat(mapper.convertValue<TransactionSignature>(json)).isEqualTo(transactionSignature)
+ }
+
+ // TODO Add test for PartialMerkleTree
+
+ @Test
+ fun SignedTransaction() {
+ val attachmentRef = SecureHash.randomSHA256()
+ doReturn(attachmentRef).whenever(cordappProvider).getContractAttachmentID(DummyContract.PROGRAM_ID)
+ doReturn(testNetworkParameters()).whenever(services).networkParameters
+
+ val stx = makeDummyStx()
+ val json = mapper.valueToTree<ObjectNode>(stx)
+ println(mapper.writeValueAsString(json))
+ val (txBits, signatures) = json.assertHasOnlyFields("txBits", "signatures")
+ assertThat(txBits.binaryValue()).isEqualTo(stx.txBits.bytes)
+ val sigs = signatures.elements().asSequence().map { it.valueAs<TransactionSignature>(mapper) }.toList()
+ assertThat(sigs).isEqualTo(stx.sigs)
+ assertThat(mapper.convertValue<SignedTransaction>(json)).isEqualTo(stx)
+ }
+
@Test
fun CordaX500Name() {
testToStringSerialisation(CordaX500Name(commonName = "COMMON", organisationUnit = "ORG UNIT", organisation = "ORG", locality = "NYC", state = "NY", country = "US"))
@@ -211,31 +309,40 @@ class JacksonSupportTest {
@Test
fun AnonymousParty() {
- val anon = AnonymousParty(ALICE_PUBKEY)
- val json = mapper.valueToTree<TextNode>(anon)
+ val anonymousParty = AnonymousParty(ALICE_PUBKEY)
+ val json = mapper.valueToTree<TextNode>(anonymousParty)
assertThat(json.textValue()).isEqualTo(ALICE_PUBKEY.toBase58String())
- assertThat(mapper.convertValue<AnonymousParty>(json)).isEqualTo(anon)
+ assertThat(mapper.convertValue<AnonymousParty>(json)).isEqualTo(anonymousParty)
}
@Test
fun `PartyAndCertificate serialisation`() {
val json = mapper.valueToTree<ObjectNode>(MINI_CORP.identity)
- assertThat(json.fieldNames()).containsOnly("name", "owningKey")
- assertThat(mapper.convertValue<CordaX500Name>(json["name"])).isEqualTo(MINI_CORP.name)
- assertThat(mapper.convertValue<PublicKey>(json["owningKey"])).isEqualTo(MINI_CORP.publicKey)
+ val (name, owningKey) = json.assertHasOnlyFields("name", "owningKey")
+ assertThat(name.valueAs<CordaX500Name>(mapper)).isEqualTo(MINI_CORP.name)
+ assertThat(owningKey.valueAs<PublicKey>(mapper)).isEqualTo(MINI_CORP.publicKey)
}
@Test
fun `NodeInfo serialisation`() {
val (nodeInfo) = createNodeInfoAndSigned(ALICE_NAME)
val json = mapper.valueToTree<ObjectNode>(nodeInfo)
- assertThat(json.fieldNames()).containsOnly("addresses", "legalIdentitiesAndCerts", "platformVersion", "serial")
- val address = (json["addresses"] as ArrayNode).also { assertThat(it).hasSize(1) }[0]
- assertThat(mapper.convertValue<NetworkHostAndPort>(address)).isEqualTo(nodeInfo.addresses[0])
- val identity = (json["legalIdentitiesAndCerts"] as ArrayNode).also { assertThat(it).hasSize(1) }[0]
- assertThat(mapper.convertValue<CordaX500Name>(identity["name"])).isEqualTo(ALICE_NAME)
- assertThat(mapper.convertValue<Int>(json["platformVersion"])).isEqualTo(nodeInfo.platformVersion)
- assertThat(mapper.convertValue<Long>(json["serial"])).isEqualTo(nodeInfo.serial)
+ val (addresses, legalIdentitiesAndCerts, platformVersion, serial) = json.assertHasOnlyFields(
+ "addresses",
+ "legalIdentitiesAndCerts",
+ "platformVersion",
+ "serial"
+ )
+ addresses.run {
+ assertThat(this).hasSize(1)
+ assertThat(this[0].valueAs<NetworkHostAndPort>(mapper)).isEqualTo(nodeInfo.addresses[0])
+ }
+ legalIdentitiesAndCerts.run {
+ assertThat(this).hasSize(1)
+ assertThat(this[0]["name"].valueAs<CordaX500Name>(mapper)).isEqualTo(ALICE_NAME)
+ }
+ assertThat(platformVersion.intValue()).isEqualTo(nodeInfo.platformVersion)
+ assertThat(serial.longValue()).isEqualTo(nodeInfo.serial)
}
@Test
@@ -264,6 +371,40 @@ class JacksonSupportTest {
assertThat(convertToNodeInfo()).isEqualTo(nodeInfo)
}
+ @Test
+ fun CertPath() {
+ val certPath = MINI_CORP.identity.certPath
+ val json = mapper.valueToTree<ObjectNode>(certPath)
+ println(mapper.writeValueAsString(json))
+ val (type, certificates) = json.assertHasOnlyFields("type", "certificates")
+ assertThat(type.textValue()).isEqualTo(certPath.type)
+ certificates.run {
+ val serialNumbers = elements().asSequence().map { it["serialNumber"].bigIntegerValue() }.toList()
+ assertThat(serialNumbers).isEqualTo(certPath.x509Certificates.map { it.serialNumber })
+ }
+ assertThat(mapper.convertValue<CertPath>(json).encoded).isEqualTo(certPath.encoded)
+ }
+
+ @Test
+ fun X509Certificate() {
+ val cert: X509Certificate = MINI_CORP.identity.certificate
+ val json = mapper.valueToTree<ObjectNode>(cert)
+ println(mapper.writeValueAsString(json))
+ assertThat(json["serialNumber"].bigIntegerValue()).isEqualTo(cert.serialNumber)
+ assertThat(json["issuer"].valueAs<X500Principal>(mapper)).isEqualTo(cert.issuerX500Principal)
+ assertThat(json["subject"].valueAs<X500Principal>(mapper)).isEqualTo(cert.subjectX500Principal)
+ assertThat(json["publicKey"].valueAs<PublicKey>(mapper)).isEqualTo(cert.publicKey)
+ assertThat(json["notAfter"].valueAs<Date>(mapper)).isEqualTo(cert.notAfter)
+ assertThat(json["notBefore"].valueAs<Date>(mapper)).isEqualTo(cert.notBefore)
+ assertThat(json["encoded"].binaryValue()).isEqualTo(cert.encoded)
+ assertThat(mapper.convertValue<X509Certificate>(json).encoded).isEqualTo(cert.encoded)
+ }
+
+ @Test
+ fun X500Principal() {
+ testToStringSerialisation(X500Principal("CN=Common,L=London,O=Org,C=UK"))
+ }
+
private fun makeDummyStx(): SignedTransaction {
val wtx = DummyContract.generateInitial(1, DUMMY_NOTARY, MINI_CORP.ref(1))
.toWireTransaction(services)
@@ -280,6 +421,17 @@ class JacksonSupportTest {
assertThat(mapper.convertValue<T>(json)).isEqualTo(value)
}
+ private fun JsonNode.assertHasOnlyFields(vararg fieldNames: String): List<JsonNode> {
+ assertThat(fieldNames()).containsOnly(*fieldNames)
+ return fieldNames.map { this[it] }
+ }
+
+ @CordaSerializable
+ private data class TestData(val name: CordaX500Name, val summary: String, val subData: SubTestData)
+
+ @CordaSerializable
+ private data class SubTestData(val value: Int)
+
private class TestPartyObjectMapper : JacksonSupport.PartyObjectMapper {
val identities = ArrayList<Party>()
val nodes = ArrayList<NodeInfo>()
diff --git a/client/jackson/src/test/resources/net/corda/client/jackson/class-not-on-classpath-data b/client/jackson/src/test/resources/net/corda/client/jackson/class-not-on-classpath-data
new file mode 100644
index 0000000000000000000000000000000000000000..dd639112c39b612596104d48f94cceadee1018a5
GIT binary patch
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literal 0
HcmV?d00001
diff --git a/docs/source/changelog.rst b/docs/source/changelog.rst
index 61a4ffdf91..331b6b5158 100644
--- a/docs/source/changelog.rst
+++ b/docs/source/changelog.rst
@@ -22,7 +22,10 @@ Unreleased
* ``NodeInfo`` objects are serialised as an object and can be looked up using the same mechanism as ``Party``
* ``NetworkHostAndPort`` serialised according to its ``toString()``
* ``PartyAndCertificate`` is serialised as an object containing the name and owning key
- * ``SignedTransaction`` can now be serialized to JSON and deserialized back into an object.
+ * ``SerializedBytes`` is serialised by converting the bytes into the object it represents, which is then serialised into
+ a JSON/YAML object
+ * ``CertPath`` and ``X509Certificate`` are serialised as objects and can be deserialised back
+ * ``SignedTransaction`` is serialised into its ``txBits`` and ``signatures`` and can be deserialised back
* Several members of ``JacksonSupport`` have been deprecated to highlight that they are internal and not to be used.
diff --git a/docs/source/shell.rst b/docs/source/shell.rst
index da7bef0e8f..b03bf70601 100644
--- a/docs/source/shell.rst
+++ b/docs/source/shell.rst
@@ -267,8 +267,8 @@ SecureHash
~~~~~~~~~~
A parameter of type ``SecureHash`` can be written as a hexadecimal string: ``F69A7626ACC27042FEEAE187E6BFF4CE666E6F318DC2B32BE9FAF87DF687930C``
-OpaqueBytes
-~~~~~~~~~~~
+OpaqueBytes and SerializedBytes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A parameter of type ``OpaqueBytes`` can be provided as a string in Base64.
PublicKey and CompositeKey
From 3f2e653f01197043acac4592288c94cca76bf51c Mon Sep 17 00:00:00 2001
From: josecoll <jose.coll@r3cev.com>
Date: Tue, 15 May 2018 17:09:50 +0100
Subject: [PATCH 25/25] Update references to point to new repo and remove other
redundant references. (#3151)
---
.ci/README.md | 2 +-
.gitignore | 2 --
docs/source/corda-repo-layout.rst | 1 -
3 files changed, 1 insertion(+), 4 deletions(-)
diff --git a/.ci/README.md b/.ci/README.md
index 62b9669242..0f62099f17 100644
--- a/.ci/README.md
+++ b/.ci/README.md
@@ -1,7 +1,7 @@
# !! DO NOT MODIFY THE API FILE IN THIS DIRECTORY !!
The `api-current.txt` file contains a summary of Corda's current public APIs,
-as generated by the `api-scanner` Gradle plugin. (See [here](../gradle-plugins/api-scanner/README.md) for a detailed description of this plugin.) It will be regenerated and the copy in this repository updated by the Release Manager with
+as generated by the `api-scanner` Gradle plugin. (See [here](https://github.com/corda/corda-gradle-plugins/blob/master/api-scanner/README.md) for a detailed description of this plugin.) It will be regenerated and the copy in this repository updated by the Release Manager with
each new Corda release. It will not be modified otherwise except under special circumstances that will require extra approval.
Deleting or changing the existing Corda APIs listed in `api-current.txt` may
diff --git a/.gitignore b/.gitignore
index 0468370c55..da49fe5c87 100644
--- a/.gitignore
+++ b/.gitignore
@@ -39,7 +39,6 @@ lib/quasar.jar
.idea/runConfigurations
.idea/dictionaries
.idea/codeStyles/
-/gradle-plugins/.idea/
# Include the -parameters compiler option by default in IntelliJ required for serialization.
!.idea/compiler.xml
@@ -62,7 +61,6 @@ lib/quasar.jar
# Gradle:
# .idea/gradle.xml
# .idea/libraries
-/gradle-plugins/gradle*
# Mongo Explorer plugin:
# .idea/mongoSettings.xml
diff --git a/docs/source/corda-repo-layout.rst b/docs/source/corda-repo-layout.rst
index bbec123ab4..c297603609 100644
--- a/docs/source/corda-repo-layout.rst
+++ b/docs/source/corda-repo-layout.rst
@@ -15,7 +15,6 @@ The Corda repository comprises the following folders:
* **finance** defines a range of elementary contracts (and associated schemas) and protocols, such as abstract fungible
assets, cash, obligation and commercial paper
* **gradle** contains the gradle wrapper which you'll use to execute gradle commands
-* **gradle-plugins** contains some additional plugins which we use to deploy Corda nodes
* **lib** contains some dependencies
* **node** contains the core code of the Corda node (eg: node driver, node services, messaging, persistence)
* **node-api** contains data structures shared between the node and the client module, e.g. types sent via RPC