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97 lines
5.8 KiB
ReStructuredText
97 lines
5.8 KiB
ReStructuredText
Client RPC
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==========
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There are multiple ways to interact with a node from a *client program*, but if your client is written in a JVM
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compatible language the easiest way to do so is using the client library. The library connects to your running
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node using a message queue protocol and then provides a simple RPC interface to interact with it. You make calls
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on a Java object as normal, and the marshalling back and forth is handled for you.
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The starting point for the client library is the `CordaRPCClient`_ class. This provides a ``proxy`` method that
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returns an implementation of the `CordaRPCOps`_ interface. A timeout parameter can be specified, and observables that
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are returned by RPCs can be subscribed to in order to receive an ongoing stream of updates from the node. More
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detail on how to use this is provided in the docs for the proxy method.
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.. warning:: The returned object is somewhat expensive to create and consumes a small amount of server side
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resources. When you're done with it, cast it to ``Closeable`` or ``AutoCloseable`` and close it. Don't create
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one for every call you make - create a proxy and reuse it.
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For a brief tutorial on how one can use the RPC API see :doc:`tutorial-clientrpc-api`.
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Security
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--------
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Users wanting to use the RPC library are first required to authenticate themselves with the node using a valid username
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and password. These are specified in the configuration file. Each user can be configured with a set of permissions which
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the RPC can use for fine-grain access control.
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Observables
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-----------
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The RPC system handles observables in a special way. When a method returns an observable, whether directly or
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as a sub-object of the response object graph, an observable is created on the client to match the one on the
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server. Objects emitted by the server-side observable are pushed onto a queue which is then drained by the client.
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The returned observable may even emit object graphs with even more observables in them, and it all works as you
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would expect.
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This feature comes with a cost: the server must queue up objects emitted by the server-side observable until you
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download them. Therefore RPCs that use this feature are marked with the ``@RPCReturnsObservables`` annotation, and
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you are expected to subscribe to all the observables returned. If you don't want an observable then subscribe
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then unsubscribe immediately to clear the buffers and indicate that you aren't interested. If your app quits then
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server side resources will be freed automatically.
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When all the observables returned by an RPC are unsubscribed on the client side, that unsubscription propagates
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through to the server where the corresponding server-side observables are also unsubscribed.
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.. warning:: If you leak an observable or proxy on the client side and it gets garbage collected, you will get
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a warning printed to the logs and the proxy will be closed for you. But don't rely on this, as garbage
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collection is non-deterministic.
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Versioning
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----------
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The client RPC protocol is versioned with a simple incrementing integer. When a proxy is created the server is
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queried for its protocol version, and you can specify your minimum requirement. Methods added in later versions
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are tagged with the ``@RPCSinceVersion`` annotation. If you try to use a method that the server isn't advertising
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support of, an ``UnsupportedOperationException`` is thrown. If you want to know the version of the server, just
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use the ``protocolVersion`` property (i.e. ``getProtocolVersion`` in Java).
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Thread safety
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-------------
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A proxy is thread safe, blocking, and will only allow a single RPC to be in flight at once. Any observables that
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are returned and you subscribe to will have objects emitted on a background thread. Observables returned as part
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of one RPC and observables returned from another may have their callbacks invoked in parallel, but observables
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returned as part of the same specific RPC invocation are processed serially and will not be invoked in parallel.
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If you want to make multiple calls to the server in parallel you can do that by creating multiple proxies, but
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be aware that the server itself may *not* process your work in parallel even if you make your requests that way.
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Error handling
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--------------
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If something goes wrong with the RPC infrastructure itself, an ``RPCException`` is thrown. If you call a method that
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requires a higher version of the protocol than the server supports, ``UnsupportedOperationException`` is thrown.
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Otherwise, if the server implementation throws an exception, that exception is serialised and rethrown on the client
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side as if it was thrown from inside the called RPC method. These exceptions can be caught as normal.
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Wire protocol
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-------------
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The client RPC wire protocol is not currently documented. To use it you must use the client library provided.
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This is likely to change in a future release.
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Registering classes with RPC Kryo
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---------------------------------
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In the present implementation of the node we use Kryo to generate the *on the wire* representation of contracts states
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or any other classes that form part of the RPC arguments or response. To avoid the RPC interface being wide open to all
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classes on the classpath, Cordapps will currently have to register any classes or custom serialisers they require with Kryo
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if they are not one of those registered by default in ``RPCKryo`` via the plugin architecture. See :doc:`creating-a-cordapp`.
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This will require some familiarity with Kryo. An example is shown in :doc:`tutorial-clientrpc-api`.
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.. warning:: We will be replacing the use of Kryo in RPC with a stable message format and this will mean that this plugin
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customisation point will either go away completely or change.
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.. _CordaRPCClient: api/net.corda.client/-corda-r-p-c-client/index.html
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.. _CordaRPCOps: api/net.corda.node.services.messaging/-corda-r-p-c-ops/index.html
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