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Apache Ignite provides a way to serialize your java objects and types and send the data between servers and clients.
Apache Ignite handles native type serialization automatically. For example, the following Compute job accepts an Integer and returns an Integer:
class IntegerComputeJob implements ComputeJob<Integer, Integer> { @Override public @Nullable CompletableFuture<Integer> executeAsync( JobExecutionContext context, @Nullable Integer arg ) { return completedFuture(arg - 1); } }
Since both the argument and the result are native types and are serialized automatically, you do not need any additional code to handle the serialization:
try (IgniteClient client = IgniteClient.builder().addresses("address/to/cluster:port").build()) { Integer result = client.compute().execute( JobTarget.anyNode(client.clusterNodes()), JobDescriptor.builder(IntegerComputeJob.class).build(), 1 ); }
using var client = await IgniteClient.StartAsync( new IgniteClientConfiguration("address/to/cluster:port")); IJobExecution<int> jobExec = await client.Compute.SubmitAsync( JobTarget.AnyNode(await client.GetClusterNodesAsync()), new JobDescriptor<int, int>("org.example.IntegerComputeJob"), 1); int result = await jobExec.GetResultAsync();
Apache Ignite is designed around working with Tuples, and handles tuple serialization automatically. For example, the following Job accepts Tuple and returns Tuple:
class TupleComputeJob implements ComputeJob<Tuple, Tuple> { @Override public @Nullable CompletableFuture<Tuple> executeAsync(JobExecutionContext context, @Nullable Tuple arg) { Tuple resultTuple = Tuple.copy(arg); resultTuple.set("col", "new value"); return completedFuture(resultTuple); } }
Since both the argument and the result are tuples, they are serialized automatically, and you do not need to handle serialization:
try (IgniteClient client = IgniteClient.builder().addresses("address/to/cluster:port").build()) { Tuple resultTuple = client.compute().execute( JobTarget.anyNode(client.clusterNodes()), JobDescriptor.builder(TupleComputeJob.class).build(), Tuple.create().set("col", "value") ); }
using var client = await IgniteClient.StartAsync( new IgniteClientConfiguration("address/to/cluster:port")); IJobExecution<IIgniteTuple> jobExec = await client.Compute.SubmitAsync( JobTarget.AnyNode(await client.GetClusterNodesAsync()), new JobDescriptor<IIgniteTuple, IIgniteTuple>("org.example.TupleComputeJob"), new IgniteTuple { ["col"] = "value" }); IIgniteTuple result = await jobExec.GetResultAsync();
User objects are marshalled automatically in the following way:
Below is an example of user objects marshalled with custom logic (using JSON serialization with ObjectMapper, but you can do whatever you think is good for your use case).
Let's start with Compute job definition that should be a part of the same deployment unit.
The code below shows how to handle marshalling on a server, so that it can properly send the data to the clients and receive their responses:
class ArgumentCustomServerObject { int arg1; String arg2; }
ObjectMapper object:final ObjectMapper MAPPER = new ObjectMapper(); class ArgumentCustomServerObjectMarshaller implements Marshaller<ArgumentCustomServerObject, byte[]> { @Override public byte @Nullable [] marshal(@Nullable ArgumentCustomServerObject object) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.writeValueAsBytes(object); } catch (JsonProcessingException e) { throw new RuntimeException(e); } } @Override public @Nullable ArgumentCustomServerObject unmarshal(byte @Nullable [] raw) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.readValue(raw, ArgumentCustomServerObject.class); } catch (IOException e) { throw new RuntimeException(e); } } }
class ResultCustomServerObject { int res1; String res2; long res3; } class ResultCustomServerObjectMarshaller implements Marshaller<ResultCustomServerObject, byte[]> { @Override public byte @Nullable [] marshal(@Nullable ResultCustomServerObject object) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.writeValueAsBytes(object); } catch (JsonProcessingException e) { throw new RuntimeException(e); } } @Override public @Nullable ResultCustomServerObject unmarshal(byte @Nullable [] raw) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.readValue(raw, ResultCustomServerObject.class); } catch (IOException e) { throw new RuntimeException(e); } } }
The marshallers above define how to represent corresponding objects as byte[], and how to read these objects from byte[]. However, defining these classes does not enable custom serialization, as you need to specify the marshaller to use when serializing objects. In Apache Ignite, this is done by overriding two methods in Compute job definition to use them as factory methods for marshallers:
The code below provides an example of implementing marshallers in a compute job:
class PojoComputeJob implements ComputeJob<ArgumentCustomServerObject, ResultCustomServerObject> { @Override public @Nullable CompletableFuture<ResultCustomServerObject> executeAsync( JobExecutionContext context, @Nullable ArgumentCustomServerObject arg ) { ResultCustomServerObject res = new ResultCustomServerObject(); res.res1 = arg.arg1; res.res2 = arg.arg2; res.res3 = 1; return completedFuture(res); } @Override public Marshaller<ArgumentCustomServerObject, byte[]> inputMarshaller() { return new ArgumentCustomServerObjectMarshaller(); } @Override public Marshaller<ResultCustomServerObject, byte[]> resultMarshaller() { return new ResultCustomServerObjectMarshaller(); } }
With this, the Apache Ignite server will be able to handle marshalling the required objects to sending them to clients, and unmarshalling the client responses.
On the client side, largely the same code is required to handle the incoming objects and to marshal the response:
class ArgumentCustomClientObject { int arg1; String arg2; }
record ArgumentCustomClientObject(int arg1, string arg2);
final ObjectMapper MAPPER = new ObjectMapper(); class ArgumentCustomClientObjectMarshaller implements Marshaller<ArgumentCustomClientObject, byte[]> { @Override public byte @Nullable [] marshal(@Nullable ArgumentCustomClientObject object) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.writeValueAsBytes(object); } catch (JsonProcessingException e) { throw new RuntimeException(e); } } @Override public @Nullable ArgumentCustomClientObject unmarshal(byte @Nullable [] raw) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.readValue(raw, ArgumentCustomClientObject.class); } catch (IOException e) { throw new RuntimeException(e); } } }
class MyJsonMarshaller<T> : IMarshaller<T> { public void Marshal(T obj, IBufferWriter<byte> writer) { using var utf8JsonWriter = new Utf8JsonWriter(writer); JsonSerializer.Serialize(utf8JsonWriter, obj); } public T Unmarshal(ReadOnlySpan<byte> bytes) => JsonSerializer.Deserialize<T>(bytes)!; }
class ResultCustomClientObject { int res1; String res2; long res3; } class ResultCustomClientObjectMarshaller implements Marshaller<ResultCustomClientObject, byte[]> { @Override public byte @Nullable [] marshal(@Nullable ResultCustomClientObject object) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.writeValueAsBytes(object); } catch (JsonProcessingException e) { throw new RuntimeException(e); } } @Override public @Nullable ResultCustomClientObject unmarshal(byte @Nullable [] raw) throws UnsupportedObjectTypeMarshallingException { try { return MAPPER.readValue(raw, ResultCustomClientObject.class); } catch (IOException e) { throw new RuntimeException(e); } } } // ....
record ResultCustomClientObject(int res1, string res2, long res3); // Use the same generic MyJsonMarshaller class (see above) for the result object.
Now that all marshallers are defined, you can start working with the custom objects and handle marshalling of arguments and results in your compute jobs:
try (IgniteClient client = IgniteClient.builder().addresses("address/to/cluster:port").build()) { // Marshalling example of pojo. ResultCustomClientObject resultPojo = client.compute().execute( JobTarget.anyNode(client.clusterNodes()), JobDescriptor.<ArgumentCustomClientObject, ResultCustomClientObject>builder(PojoComputeJob.class.getName()) .argumentMarshaller(new ArgumentCustomClientObjectMarshaller()) .resultMarshaller(new ResultCustomClientObjectMarshaller()) .build(), new ArgumentCustomClientObject() ); }
using var client = await IgniteClient.StartAsync( new IgniteClientConfiguration("address/to/cluster:port")); IJobExecution<ResultCustomClientObject> jobExec = await client.Compute.SubmitAsync( JobTarget.AnyNode(await client.GetClusterNodesAsync()), new JobDescriptor<ArgumentCustomClientObject, ResultCustomClientObject>("org.example.PojoComputeJob") { ArgMarshaller = new MyJsonMarshaller<ArgumentCustomClientObject>(), ResultMarshaller = new MyJsonMarshaller<ResultCustomClientObject>() }, new ArgumentCustomClientObject(1, "abc")); ResultCustomClientObject result = await jobExec.GetResultAsync();