corda/docs/source/upgrading-cordapps.rst

Upgrading a CorDapp (outside of platform version upgrades)

Note

This document only concerns the upgrading of CorDapps and not the Corda platform itself (wire format, node database schemas, etc.).

CorDapp versioning

The Corda platform does not mandate a version number on a per-CorDapp basis. Different elements of a CorDapp are allowed to evolve separately:

• States
• Contracts
• Services
• Flows
• Utilities and library functions
• All, or a subset, of the above

Sometimes, however, a change to one element will require changes to other elements. For example, changing a shared data structure may require flow changes that are not backwards-compatible.

Areas of consideration

This document will consider the following types of versioning:

• Flow versioning
• State and contract versioning
• State and state schema versioning
• Serialisation of custom types

Flow versioning

Any flow that initiates other flows must be annotated with the @InitiatingFlow annotation, which is defined as:

annotation class InitiatingFlow(val version: Int = 1)

The version property, which defaults to 1, specifies the flow's version. This integer value should be incremented whenever there is a release of a flow which has changes that are not backwards-compatible. A non-backwards compatible change is one that changes the interface of the flow.

What defines the interface of a flow?

The flow interface is defined by the sequence of send and receive calls between an InitiatingFlow and an InitiatedBy flow, including the types of the data sent and received. We can picture a flow's interface as follows:

In the diagram above, the InitiatingFlow:

• Sends an Int
• Receives a String
• Sends a String
• Receives a CustomType

The InitiatedBy flow does the opposite:

• Receives an Int
• Sends a String
• Receives a String
• Sends a CustomType

As long as both the IntiatingFlow and the InitiatedBy flows conform to the sequence of actions, the flows can be implemented in any way you see fit (including adding proprietary business logic that is not shared with other parties).

What constitutes a non-backwards compatible flow change?

A flow can become backwards-incompatible in two main ways:

• The sequence of send and receive calls changes:
  • A send or receive is added or removed from either the InitatingFlow or InitiatedBy flow
  • The sequence of send and receive calls changes
• The types of the send and receive calls changes

What happens when running flows with incompatible versions?

Pairs of InitiatingFlow flows and InitiatedBy flows that have incompatible interfaces are likely to exhibit the following behaviour:

• The flows hang indefinitely and never terminate, usually because a flow expects a response which is never sent from the other side
• One of the flow ends with an exception: "Expected Type X but Received Type Y", because the send or receive types are incorrect
• One of the flows ends with an exception: "Counterparty flow terminated early on the other side", because one flow sends some data to another flow, but the latter flow has already ended

How do I upgrade my flows?

1. Update the flow and test the changes. Increment the flow version number in the InitiatingFlow annotation.
2. Ensure that all versions of the existing flow have finished running and there are no pending SchedulableFlows on any of the nodes on the business network. This can be done by draining the node (see below).
3. Shut down the node.
4. Replace the existing CorDapp JAR with the CorDapp JAR containing the new flow.
5. Start the node.

If you shut down all nodes and upgrade them all at the same time, any incompatible change can be made.

In situations where some nodes may still be using previous versions of a flow and thus new versions of your flow may talk to old versions, the updated flows need to be backwards-compatible. This will be the case for almost any real deployment in which you cannot easily coordinate the rollout of new code across the network.

How do I ensure flow backwards-compatibility?

The InitiatingFlow version number is included in the flow session handshake and exposed to both parties via the FlowLogic.getFlowContext method. This method takes a Party and returns a FlowContext object which describes the flow running on the other side. In particular, it has a flowVersion property which can be used to programmatically evolve flows across versions. For example:

@Suspendable
override fun call() {
    val otherFlowVersion = otherSession.getCounterpartyFlowInfo().flowVersion
    val receivedString = if (otherFlowVersion == 1) {
        otherSession.receive<Int>().unwrap { it.toString() }
    } else {
        otherSession.receive<String>().unwrap { it }
    }
}

@Suspendable
@Override public Void call() throws FlowException {
    int otherFlowVersion = otherSession.getCounterpartyFlowInfo().getFlowVersion();
    String receivedString;

    if (otherFlowVersion == 1) {
        receivedString = otherSession.receive(Integer.class).unwrap(integer -> {
            return integer.toString();
        });
    } else {
        receivedString = otherSession.receive(String.class).unwrap(string -> {
            return string;
        });
    }

    return null;
}

This code shows a flow that in its first version expected to receive an Int, but in subsequent versions was modified to expect a String. This flow is still able to communicate with parties that are running the older CorDapp containing the older flow.

How do I deal with interface changes to inlined subflows?

Here is an example of an in-lined subflow:

@StartableByRPC
@InitiatingFlow
class FlowA(val recipient: Party) : FlowLogic<Unit>() {
    @Suspendable
    override fun call() {
        subFlow(FlowB(recipient))
    }
}

@InitiatedBy(FlowA::class)
class FlowC(val otherSession: FlowSession) : FlowLogic() {
    // Omitted.
}

// Note: No annotations. This is used as an inlined subflow.
class FlowB(val recipient: Party) : FlowLogic<Unit>() {
    @Suspendable
    override fun call() {
        val message = "I'm an inlined subflow, so I inherit the @InitiatingFlow's session ID and type."
        initiateFlow(recipient).send(message)
    }
}

@StartableByRPC
@InitiatingFlow
class FlowA extends FlowLogic<Void> {
    private final Party recipient;

    public FlowA(Party recipient) {
        this.recipient = recipient;
    }

    @Suspendable
    @Override public Void call() throws FlowException {
        subFlow(new FlowB(recipient));

        return null;
    }
}

@InitiatedBy(FlowA.class)
class FlowC extends FlowLogic<Void> {
    // Omitted.
}

// Note: No annotations. This is used as an inlined subflow.
class FlowB extends FlowLogic<Void> {
    private final Party recipient;

    public FlowB(Party recipient) {
        this.recipient = recipient;
    }

    @Suspendable
    @Override public Void call() {
        String message = "I'm an inlined subflow, so I inherit the @InitiatingFlow's session ID and type.";
        initiateFlow(recipient).send(message);

        return null;
    }
}

Inlined subflows are treated as being the flow that invoked them when initiating a new flow session with a counterparty. Suppose flow A calls inlined subflow B, which, in turn, initiates a session with a counterparty. The FlowLogic type used by the counterparty to determine which counter-flow to invoke is determined by A, and not by B. This means that the response logic for the inlined flow must be implemented explicitly in the InitiatedBy flow. This can be done either by calling a matching inlined counter-flow, or by implementing the other side explicitly in the initiated parent flow. Inlined subflows also inherit the session IDs of their parent flow.

As such, an interface change to an inlined subflow must be considered a change to the parent flow interfaces.

An example of an inlined subflow is CollectSignaturesFlow. It has a response flow called SignTransactionFlow that isn’t annotated with InitiatedBy. This is because both of these flows are inlined. How these flows speak to one another is defined by the parent flows that call CollectSignaturesFlow and SignTransactionFlow.

In code, inlined subflows appear as regular FlowLogic instances without either an InitiatingFlow or an InitiatedBy annotation.

Inlined flows are not versioned, as they inherit the version of their parent InitiatingFlow or InitiatedBy flow.

Flows which are not an InitiatingFlow or InitiatedBy flow, or inlined subflows that are not called from an InitiatingFlow or InitiatedBy flow, can be updated without consideration of backwards-compatibility. Flows of this type include utility flows for querying the vault and flows for reaching out to external systems.

Flow drains

A flow checkpoint is a serialised snapshot of the flow's stack frames and any objects reachable from the stack. Checkpoints are saved to the database automatically when a flow suspends or resumes, which typically happens when sending or receiving messages. A flow may be replayed from the last checkpoint if the node restarts. Automatic checkpointing is an unusual feature of Corda and significantly helps developers write reliable code that can survive node restarts and crashes. It also assists with scaling up, as flows that are waiting for a response can be flushed from memory.

However, this means that restoring an old checkpoint to a new version of a flow may cause resume failures. For example if you remove a local variable from a method that previously had one, then the flow engine won't be able to figure out where to put the stored value of the variable.

For this reason, in currently released versions of Corda you must drain the node before doing an app upgrade that changes @Suspendable code. A drain blocks new flows from starting but allows existing flows to finish. Thus once a drain is complete there should be no outstanding checkpoints or running flows. Upgrading the app will then succeed.

A node can be drained or undrained via RPC using the setFlowsDrainingModeEnabled method, and via the shell using the standard run command to invoke the RPC. See shell to learn more.

Contract and state versioning

There are two types of contract/state upgrade:

1. Implicit: By allowing multiple implementations of the contract ahead of time, using constraints. See api-contract-constraints to learn more.
2. Explicit: By creating a special contract upgrade transaction and getting all participants of a state to sign it using the contract upgrade flows.

This section of the documentation focuses only on the explicit type of upgrade.

In an explicit upgrade contracts and states can be changed in arbitrary ways, if and only if all of the state' s participants agree to the proposed upgrade. The following combinations of upgrades are possible:

• A contract is upgraded while the state definition remains the same.
• A state is upgraded while the contract stays the same.
• The state and the contract are updated simultaneously.

The procedure for updating a state or a contract using a flag-day approach is quite simple:

• Update and test the state or contract.
• Produce a new CorDapp JAR file and distribute it to all the relevant parties.
• Each node operator stops their node, replaces the existing JAR with the new one, and restarts. They may wish to do a node drain first to avoid the definition of states or contracts changing whilst a flow is in progress.
• Run the contract upgrade authorisation flow for each state that requires updating on every node.
• For each state, one node should run the contract upgrade initiation flow, which will contact the rest.

Update Process

Writing the new state and contract definitions

Start by updating the contract and/or state definitions. There are no restrictions on how states are updated. However, upgraded contracts must implement the UpgradedContract interface. This interface is defined as:

interface UpgradedContract<in OldState : ContractState, out NewState : ContractState> : Contract {
    val legacyContract: ContractClassName
    fun upgrade(state: OldState): NewState
}

The upgrade method describes how the old state type is upgraded to the new state type. When the state isn't being upgraded, the same state type can be used for both the old and new state type parameters.

Authorising the upgrade

Once the new states and contracts are on the classpath for all the relevant nodes, the next step is for all nodes to run the ContractUpgradeFlow.Authorise flow. This flow takes a StateAndRef of the state to update as well as a reference to the new contract, which must implement the UpgradedContract interface.

At any point, a node administrator may de-authorise a contract upgrade by running the ContractUpgradeFlow.Deauthorise flow.

Performing the upgrade

Once all nodes have performed the authorisation process, a participant must be chosen to initiate the upgrade via the ContractUpgradeFlow.Initiate flow for each state object. This flow has the following signature:

class Initiate<OldState : ContractState, out NewState : ContractState>(
    originalState: StateAndRef<OldState>,
    newContractClass: Class<out UpgradedContract<OldState, NewState>>
) : AbstractStateReplacementFlow.Instigator<OldState, NewState, Class<out UpgradedContract<OldState, NewState>>>(originalState, newContractClass)

This flow sub-classes AbstractStateReplacementFlow, which can be used to upgrade state objects that do not need a contract upgrade.

One the flow ends successfully, all the participants of the old state object should have the upgraded state object which references the new contract code.

Points to note

Capabilities of the contract upgrade flows

• Despite its name, the ContractUpgradeFlow also handles the update of state object definitions
• The state can completely change as part of an upgrade! For example, it is possible to transmute a Cat state into a Dog state, provided that all participants in the Cat state agree to the change
• Equally, the state doesn't have to change at all
• If a node has not yet run the contract upgrade authorisation flow, they will not be able to upgrade the contract and/or state objects
• Upgrade authorisations can subsequently be deauthorised
• Upgrades do not have to happen immediately. For a period, the two parties can use the old states and contracts side-by-side
• State schema changes are handled separately

Writing new states and contracts

• If a property is removed from a state, any references to it must be removed from the contract code. Otherwise, you will not be able to compile your contract code. It is generally not advisable to remove properties from states. Mark them as deprecated instead
• When adding properties to a state, consider how the new properties will affect transaction validation involving this state. If the contract is not updated to add constraints over the new properties, they will be able to take on any value
• Updated state objects can use the old contract code as long as there is no requirement to update it

Dealing with old contract code JAR files

• Currently, all parties must keep the old state and contract definitions on their node's classpath as they will always be required to verify transactions involving previous versions of the state using previous versions of the contract
  • This will change when the contract code as an attachment feature has been fully implemented.

Permissioning

• Only node administrators are able to run the contract upgrade authorisation and deauthorisation flows

Logistics

• All nodes need to run the contract upgrade authorisation flow
• Only one node should run the contract upgrade initiation flow. If multiple nodes run it for the same StateRef, a double-spend will occur for all but the first completed upgrade
• The supplied upgrade flows upgrade one state object at a time

Serialisation

Currently, the serialisation format for everything except flow checkpoints (which uses a Kryo-based format) is based upon AMQP 1.0, a self-describing and controllable serialisation format. AMQP is desirable because it allows us to have a schema describing what has been serialized alongside the data itself. This assists with versioning and deserialising long-ago archived data, among other things.

Writing classes

Although not strictly related to versioning, AMQP serialisation dictates that we must write our classes in a particular way:

• Your class must have a constructor that takes all the properties that you wish to record in the serialized form. This is required in order for the serialization framework to reconstruct an instance of your class
• If more than one constructor is provided, the serialization framework needs to know which one to use. The @ConstructorForDeserialization annotation can be used to indicate the chosen constructor. For a Kotlin class without the @ConstructorForDeserialization annotation, the primary constructor is selected
• The class must be compiled with parameter names in the .class file. This is the default in Kotlin but must be turned on in Java (using the -parameters command line option to javac)
• Your class must provide a Java Bean getter for each of the properties in the constructor, with a matching name. For example, if a class has the constructor parameter foo, there must be a getter called getFoo(). If foo is a boolean, the getter may optionally be called isFoo(). This is why the class must be compiled with parameter names turned on
• The class must be annotated with @CordaSerializable
• The declared types of constructor arguments/getters must be supported, and where generics are used the generic parameter must be a supported type, an open wildcard (*), or a bounded wildcard which is currently widened to an open wildcard
• Any superclass must adhere to the same rules, but can be abstract
• Object graph cycles are not supported, so an object cannot refer to itself, directly or indirectly

Writing enums

Elements cannot be added to enums in a new version of the code. Hence, enums are only a good fit for genuinely static data that will never change (e.g. days of the week). A Buy or Sell flag is another. However, something like Trade Type or Currency Code will likely change. For those, it is preferable to choose another representation, such as a string.

State schemas

By default, all state objects are serialised to the database as a string of bytes and referenced by their StateRef. However, it is also possible to define custom schemas for serialising particular properties or combinations of properties, so that they can be queried from a source other than the Corda Vault. This is done by implementing the QueryableState interface and creating a custom object relational mapper for the state. See api-persistence for details.

For backwards compatible changes such as adding columns, the procedure for upgrading a state schema is to extend the existing object relational mapper. For example, we can update:

object ObligationSchemaV1 : MappedSchema(Obligation::class.java, 1, listOf(ObligationEntity::class.java)) {
    @Entity @Table(name = "obligations")
    class ObligationEntity(obligation: Obligation) : PersistentState() {
        @Column var currency: String = obligation.amount.token.toString()
        @Column var amount: Long = obligation.amount.quantity
        @Column @Lob var lender: ByteArray = obligation.lender.owningKey.encoded
        @Column @Lob var borrower: ByteArray = obligation.borrower.owningKey.encoded
        @Column var linear_id: String = obligation.linearId.id.toString()
    }
}

public class ObligationSchemaV1 extends MappedSchema {
    public IOUSchemaV1() {
        super(Obligation.class, 1, ImmutableList.of(ObligationEntity.class));
    }

    @Entity
    @Table(name = "obligations")
    public static class ObligationEntity extends PersistentState {
        @Column(name = "currency") private final String currency;
        @Column(name = "amount") private final Long amount;
        @Column(name = "lender") @Lob private final Byte[] lender;
        @Column(name = "borrower") @Lob private final Byte[] borrower;
        @Column(name = "linear_id") private final UUID linearId;


        public ObligationEntity(String currency, Long amount, Byte[] lender, Byte[] borrower, UUID linearId) {
            this.currency = currency;
            this.amount = amount;
            this.lender = lender;
            this.borrower = borrower;
            this.linearId = linearId;
        }

        public String getCurrency() {
            return currency;
        }

        public Long getAmount() {
            return amount;
        }

        public ByteArray getLender() {
            return lender;
        }

        public ByteArray getBorrower() {
            return borrower;
        }

        public UUID getId() {
            return linearId;
        }
    }
}

To:

object ObligationSchemaV1 : MappedSchema(Obligation::class.java, 1, listOf(ObligationEntity::class.java)) {
    @Entity @Table(name = "obligations")
    class ObligationEntity(obligation: Obligation) : PersistentState() {
        @Column var currency: String = obligation.amount.token.toString()
        @Column var amount: Long = obligation.amount.quantity
        @Column @Lob var lender: ByteArray = obligation.lender.owningKey.encoded
        @Column @Lob var borrower: ByteArray = obligation.borrower.owningKey.encoded
        @Column var linear_id: String = obligation.linearId.id.toString()
        @Column var defaulted: Bool = obligation.amount.inDefault               // NEW COLUMN!
    }
}

public class ObligationSchemaV1 extends MappedSchema {
    public IOUSchemaV1() {
        super(Obligation.class, 1, ImmutableList.of(ObligationEntity.class));
    }

    @Entity
    @Table(name = "obligations")
    public static class ObligationEntity extends PersistentState {
        @Column(name = "currency") private final String currency;
        @Column(name = "amount") private final Long amount;
        @Column(name = "lender") @Lob private final Byte[] lender;
        @Column(name = "borrower") @Lob private final Byte[] borrower;
        @Column(name = "linear_id") private final UUID linearId;
        @Column(name = "defaulted") private final Boolean defaulted;            // NEW COLUMN!


        public ObligationEntity(String currency, Long amount, Byte[] lender, Byte[] borrower, UUID linearId, Boolean defaulted) {
            this.currency = currency;
            this.amount = amount;
            this.lender = lender;
            this.borrower = borrower;
            this.linearId = linearId;
            this.defaulted = defaulted;
        }

        public String getCurrency() {
            return currency;
        }

        public Long getAmount() {
            return amount;
        }

        public ByteArray getLender() {
            return lender;
        }

        public ByteArray getBorrower() {
            return borrower;
        }

        public UUID getId() {
            return linearId;
        }

        public Boolean isDefaulted() {
            return defaulted;
        }
    }
}

Thus adding a new column with a default value.

To make a non-backwards compatible change, the ContractUpgradeFlow or AbstractStateReplacementFlow must be used, as changes to the state are required. To make a backwards-incompatible change such as deleting a column (e.g. because a property was removed from a state object), the procedure is to define another object relational mapper, then add it to the supportedSchemas property of your QueryableState, like so:

override fun supportedSchemas(): Iterable<MappedSchema> = listOf(ExampleSchemaV1, ExampleSchemaV2)

@Override public Iterable<MappedSchema> supportedSchemas() {
    return ImmutableList.of(new ExampleSchemaV1(), new ExampleSchemaV2());
}

Then, in generateMappedObject, add support for the new schema:

override fun generateMappedObject(schema: MappedSchema): PersistentState {
    return when (schema) {
        is DummyLinearStateSchemaV1 -> // Omitted.
        is DummyLinearStateSchemaV2 -> // Omitted.
        else -> throw IllegalArgumentException("Unrecognised schema $schema")
    }
}

@Override public PersistentState generateMappedObject(MappedSchema schema) {
    if (schema instanceof DummyLinearStateSchemaV1) {
        // Omitted.
    } else if (schema instanceof DummyLinearStateSchemaV2) {
        // Omitted.
    } else {
        throw new IllegalArgumentException("Unrecognised schema $schema");
    }
}

With this approach, whenever the state object is stored in the vault, a representation of it will be stored in two separate database tables where possible - one for each supported schema.