* Permissions are now checked for each RPC method. * Fixed NodeMonitorModelTest * Fixed IRSDemoTest
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Client RPC
There are multiple ways to interact with a node from a client program, but if your client is written in a JVM compatible language the easiest way to do so is using the client library. The library connects to your running node using a message queue protocol and then provides a simple RPC interface to interact with it. You make calls on a Java object as normal, and the marshalling back and forth is handled for you.
The starting point for the client library is the CordaRPCClient
class. This provides a start
method that returns a CordaRPCConnection,
holding an implementation of the CordaRPCOps
that may be accessed with proxy
in Kotlin and
getProxy()
in Java. Observables that are returned by RPCs
can be subscribed to in order to receive an ongoing stream of updates
from the node. More detail on how to use this is provided in the docs
for the proxy method.
Warning
The returned CordaRPCConnection
is somewhat expensive to create and consumes a small amount of server
side resources. When you're done with it, call close
on it.
Alternatively you may use the use
method on CordaRPCClient
which cleans up automatically after the passed in lambda finishes. Don't
create a new proxy for every call you make - reuse an existing one.
For a brief tutorial on how one can use the RPC API see tutorial-clientrpc-api
.
RPC permissions
If a node's owner needs to interact with their node via RPC (e.g. to read the contents of the node's storage), they must define one or more RPC users. Each user is authenticated with a username and password, and is assigned a set of permissions that RPC can use for fine-grain access control.
These users are added to the node's node.conf
file.
The syntax for adding an RPC user is:
=[
rpcUsers{
=exampleUser
username=examplePass
password=[]
permissions}
...
]
Users need permissions to invoke any RPC call. By default, nothing is allowed. These permissions are specified as follows:
=[
rpcUsers{
=exampleUser
username=examplePass
password=[
permissions"StartFlow.net.corda.flows.ExampleFlow1",
"StartFlow.net.corda.flows.ExampleFlow2"
]
}
...
]
Note
Currently, the node's web server has super-user access, meaning that it can run any RPC operation without logging in. This will be changed in a future release.
Permissions Syntax
Fine grained permissions allow a user to invoke a specific RPC operation, or to start a specific flow. The syntax is:
- to start a specific flow:
StartFlow.<fully qualified flow name>
e.g.,StartFlow.net.corda.flows.ExampleFlow1
.
- to invoke a RPC operation:
InvokeRpc.<rpc method name>
e.g.,
InvokeRpc.nodeInfo
. .. note:: Permission
InvokeRpc.startFlow
allows a user to initiate all
flows.
Observables
The RPC system handles observables in a special way. When a method returns an observable, whether directly or as a sub-object of the response object graph, an observable is created on the client to match the one on the server. Objects emitted by the server-side observable are pushed onto a queue which is then drained by the client. The returned observable may even emit object graphs with even more observables in them, and it all works as you would expect.
This feature comes with a cost: the server must queue up objects emitted by the server-side observable until you download them. Note that the server side observation buffer is bounded, once it fills up the client is considered slow and kicked. You are expected to subscribe to all the observables returned, otherwise client-side memory starts filling up as observations come in. If you don't want an observable then subscribe then unsubscribe immediately to clear the client-side buffers and to stop the server from streaming. If your app quits then server side resources will be freed automatically.
Warning
If you leak an observable on the client side and it gets garbage collected, you will get a warning printed to the logs and the observable will be unsubscribed for you. But don't rely on this, as garbage collection is non-deterministic.
Futures
A method can also return a ListenableFuture
in its
object graph and it will be treated in a similar manner to observables.
Calling the cancel
method on the future will unsubscribe it
from any future value and release any resources.
Versioning
The client RPC protocol is versioned using the node's Platform
Version (see versioning
). When a proxy is created the server is
queried for its version, and you can specify your minimum requirement.
Methods added in later versions are tagged with the
@RPCSinceVersion
annotation. If you try to use a method
that the server isn't advertising support of, an
UnsupportedOperationException
is thrown. If you want to
know the version of the server, just use the
protocolVersion
property (i.e.
getProtocolVersion
in Java).
Thread safety
A proxy is thread safe, blocking, and allows multiple RPCs to be in flight at once. Any observables that are returned and you subscribe to will have objects emitted in order on a background thread pool. Each Observable stream is tied to a single thread, however note that two separate Observables may invoke their respective callbacks on different threads.
Error handling
If something goes wrong with the RPC infrastructure itself, an
RPCException
is thrown. If you call a method that requires
a higher version of the protocol than the server supports,
UnsupportedOperationException
is thrown. Otherwise, if the
server implementation throws an exception, that exception is serialised
and rethrown on the client side as if it was thrown from inside the
called RPC method. These exceptions can be caught as normal.
Wire protocol
The client RPC wire protocol is defined and documented in
net/corda/client/rpc/RPCApi.kt
.
Whitelisting classes with the Corda node
CorDapps must whitelist any classes used over RPC with Corda's
serialization framework, unless they are whitelisted by default in
DefaultWhitelist
. The whitelisting is done either via the
plugin architecture or by using the @CordaSerializable
annotation. See serialization
. An example is shown in tutorial-clientrpc-api
.