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Example 1 with ReadInstruction

use of com.google.api.services.dataflow.model.ReadInstruction in project beam by apache.

the class BeamFnMapTaskExecutorFactory method createReadOperation.

OperationNode createReadOperation(Network<Node, Edge> network, ParallelInstructionNode node, PipelineOptions options, ReaderFactory readerFactory, DataflowExecutionContext<?> executionContext, DataflowOperationContext operationContext) throws Exception {
    ParallelInstruction instruction = node.getParallelInstruction();
    ReadInstruction read = instruction.getRead();
    Source cloudSource = CloudSourceUtils.flattenBaseSpecs(read.getSource());
    CloudObject sourceSpec = CloudObject.fromSpec(cloudSource.getSpec());
    Coder<?> coder = CloudObjects.coderFromCloudObject(CloudObject.fromSpec(cloudSource.getCodec()));
    NativeReader<?> reader = readerFactory.create(sourceSpec, coder, options, executionContext, operationContext);
    OutputReceiver[] receivers = getOutputReceivers(network, node);
    return OperationNode.create(ReadOperation.create(reader, receivers, operationContext));
}
Also used : ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) CloudObject(org.apache.beam.runners.dataflow.util.CloudObject) OutputReceiver(org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver) ReadInstruction(com.google.api.services.dataflow.model.ReadInstruction) Source(com.google.api.services.dataflow.model.Source)

Example 2 with ReadInstruction

use of com.google.api.services.dataflow.model.ReadInstruction in project beam by apache.

the class LengthPrefixUnknownCodersTest method createReadNode.

private static ParallelInstructionNode createReadNode(String name, String readClassName, Coder<?> coder) {
    ParallelInstruction parallelInstruction = new ParallelInstruction().setName(name).setRead(new ReadInstruction().setSource(new Source().setCodec(CloudObjects.asCloudObject(coder, /*sdkComponents=*/
    null)).setSpec(CloudObject.forClassName(readClassName))));
    parallelInstruction.setFactory(new JacksonFactory());
    return ParallelInstructionNode.create(parallelInstruction, Nodes.ExecutionLocation.UNKNOWN);
}
Also used : LengthPrefixUnknownCoders.forParallelInstruction(org.apache.beam.runners.dataflow.worker.graph.LengthPrefixUnknownCoders.forParallelInstruction) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) ReadInstruction(com.google.api.services.dataflow.model.ReadInstruction) JacksonFactory(com.google.api.client.json.jackson2.JacksonFactory) Source(com.google.api.services.dataflow.model.Source)

Example 3 with ReadInstruction

use of com.google.api.services.dataflow.model.ReadInstruction in project beam by apache.

the class StreamingDataflowWorkerTest method testExceptionInvalidatesCache.

@Test
public void testExceptionInvalidatesCache() throws Exception {
    // We'll need to force the system to limit bundles to one message at a time.
    // Sequence is as follows:
    // 01. GetWork[0] (token 0)
    // 02. Create counter reader
    // 03. Counter yields 0
    // 04. GetData[0] (state as null)
    // 05. Read state as null
    // 06. Set state as 42
    // 07. THROW on taking counter reader checkpoint
    // 08. Create counter reader
    // 09. Counter yields 0
    // 10. GetData[1] (state as null)
    // 11. Read state as null (*** not 42 ***)
    // 12. Take counter reader checkpoint as 0
    // 13. CommitWork[0] (message 0:0, state 42, checkpoint 0)
    // 14. GetWork[1] (token 1, checkpoint as 0)
    // 15. Counter yields 1
    // 16. Read (cached) state as 42
    // 17. Take counter reader checkpoint 1
    // 18. CommitWork[1] (message 0:1, checkpoint 1)
    // 19. GetWork[2] (token 2, checkpoint as 1)
    // 20. Counter yields 2
    // 21. THROW on processElement
    // 22. Recreate reader from checkpoint 1
    // 23. Counter yields 2 (*** not eof ***)
    // 24. GetData[2] (state as 42)
    // 25. Read state as 42
    // 26. Take counter reader checkpoint 2
    // 27. CommitWork[2] (message 0:2, checkpoint 2)
    FakeWindmillServer server = new FakeWindmillServer(errorCollector);
    server.setExpectedExceptionCount(2);
    DataflowPipelineOptions options = createTestingPipelineOptions(server);
    options.setNumWorkers(1);
    DataflowPipelineDebugOptions debugOptions = options.as(DataflowPipelineDebugOptions.class);
    debugOptions.setUnboundedReaderMaxElements(1);
    CloudObject codec = CloudObjects.asCloudObject(WindowedValue.getFullCoder(ValueWithRecordId.ValueWithRecordIdCoder.of(KvCoder.of(VarIntCoder.of(), VarIntCoder.of())), GlobalWindow.Coder.INSTANCE), /*sdkComponents=*/
    null);
    TestCountingSource counter = new TestCountingSource(3).withThrowOnFirstSnapshot(true);
    List<ParallelInstruction> instructions = Arrays.asList(new ParallelInstruction().setOriginalName("OriginalReadName").setSystemName("Read").setName(DEFAULT_PARDO_USER_NAME).setRead(new ReadInstruction().setSource(CustomSources.serializeToCloudSource(counter, options).setCodec(codec))).setOutputs(Arrays.asList(new InstructionOutput().setName("read_output").setOriginalName(DEFAULT_OUTPUT_ORIGINAL_NAME).setSystemName(DEFAULT_OUTPUT_SYSTEM_NAME).setCodec(codec))), makeDoFnInstruction(new TestExceptionInvalidatesCacheFn(), 0, StringUtf8Coder.of(), WindowingStrategy.globalDefault()), makeSinkInstruction(StringUtf8Coder.of(), 1, GlobalWindow.Coder.INSTANCE));
    StreamingDataflowWorker worker = makeWorker(instructions, options.as(StreamingDataflowWorkerOptions.class), true);
    worker.setRetryLocallyDelayMs(100);
    worker.start();
    // Three GetData requests
    for (int i = 0; i < 3; i++) {
        ByteString state;
        if (i == 0 || i == 1) {
            state = ByteString.EMPTY;
        } else {
            state = ByteString.copyFrom(new byte[] { 42 });
        }
        Windmill.GetDataResponse.Builder dataResponse = Windmill.GetDataResponse.newBuilder();
        dataResponse.addDataBuilder().setComputationId(DEFAULT_COMPUTATION_ID).addDataBuilder().setKey(ByteString.copyFromUtf8("0000000000000001")).setShardingKey(1).addValuesBuilder().setTag(ByteString.copyFromUtf8("//+uint")).setStateFamily(DEFAULT_PARDO_STATE_FAMILY).getValueBuilder().setTimestamp(0).setData(state);
        server.addDataToOffer(dataResponse.build());
    }
    // Three GetWork requests and commits
    for (int i = 0; i < 3; i++) {
        StringBuilder sb = new StringBuilder();
        sb.append("work {\n");
        sb.append("  computation_id: \"computation\"\n");
        sb.append("  input_data_watermark: 0\n");
        sb.append("  work {\n");
        sb.append("    key: \"0000000000000001\"\n");
        sb.append("    sharding_key: 1\n");
        sb.append("    work_token: ");
        sb.append(i);
        sb.append("    cache_token: 1");
        sb.append("\n");
        if (i > 0) {
            int previousCheckpoint = i - 1;
            sb.append("    source_state {\n");
            sb.append("      state: \"");
            sb.append((char) previousCheckpoint);
            sb.append("\"\n");
            // We'll elide the finalize ids since it's not necessary to trigger the finalizer
            // for this test.
            sb.append("    }\n");
        }
        sb.append("  }\n");
        sb.append("}\n");
        server.addWorkToOffer(buildInput(sb.toString(), null));
        Map<Long, Windmill.WorkItemCommitRequest> result = server.waitForAndGetCommits(1);
        Windmill.WorkItemCommitRequest commit = result.get((long) i);
        UnsignedLong finalizeId = UnsignedLong.fromLongBits(commit.getSourceStateUpdates().getFinalizeIds(0));
        sb = new StringBuilder();
        sb.append("key: \"0000000000000001\"\n");
        sb.append("sharding_key: 1\n");
        sb.append("work_token: ");
        sb.append(i);
        sb.append("\n");
        sb.append("cache_token: 1\n");
        sb.append("output_messages {\n");
        sb.append("  destination_stream_id: \"out\"\n");
        sb.append("  bundles {\n");
        sb.append("    key: \"0000000000000001\"\n");
        int messageNum = i;
        sb.append("    messages {\n");
        sb.append("      timestamp: ");
        sb.append(messageNum * 1000);
        sb.append("\n");
        sb.append("      data: \"0:");
        sb.append(messageNum);
        sb.append("\"\n");
        sb.append("    }\n");
        sb.append("    messages_ids: \"\"\n");
        sb.append("  }\n");
        sb.append("}\n");
        if (i == 0) {
            sb.append("value_updates {\n");
            sb.append("  tag: \"//+uint\"\n");
            sb.append("  value {\n");
            sb.append("    timestamp: 0\n");
            sb.append("    data: \"");
            sb.append((char) 42);
            sb.append("\"\n");
            sb.append("  }\n");
            sb.append("  state_family: \"parDoStateFamily\"\n");
            sb.append("}\n");
        }
        int sourceState = i;
        sb.append("source_state_updates {\n");
        sb.append("  state: \"");
        sb.append((char) sourceState);
        sb.append("\"\n");
        sb.append("  finalize_ids: ");
        sb.append(finalizeId);
        sb.append("}\n");
        sb.append("source_watermark: ");
        sb.append((sourceState + 1) * 1000);
        sb.append("\n");
        sb.append("source_backlog_bytes: 7\n");
        assertThat(// for the current test.
        setValuesTimestamps(commit.toBuilder().clearOutputTimers()).build(), equalTo(setMessagesMetadata(PaneInfo.NO_FIRING, CoderUtils.encodeToByteArray(CollectionCoder.of(GlobalWindow.Coder.INSTANCE), ImmutableList.of(GlobalWindow.INSTANCE)), parseCommitRequest(sb.toString())).build()));
    }
}
Also used : DataflowPipelineOptions(org.apache.beam.runners.dataflow.options.DataflowPipelineOptions) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) ByteString(org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) ReadInstruction(com.google.api.services.dataflow.model.ReadInstruction) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) StreamingDataflowWorkerOptions(org.apache.beam.runners.dataflow.worker.options.StreamingDataflowWorkerOptions) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) CloudObject(org.apache.beam.runners.dataflow.util.CloudObject) WorkItemCommitRequest(org.apache.beam.runners.dataflow.worker.windmill.Windmill.WorkItemCommitRequest) TestCountingSource(org.apache.beam.runners.dataflow.worker.testing.TestCountingSource) AtomicLong(java.util.concurrent.atomic.AtomicLong) DataflowCounterUpdateExtractor.splitIntToLong(org.apache.beam.runners.dataflow.worker.counters.DataflowCounterUpdateExtractor.splitIntToLong) UnsignedLong(org.apache.beam.vendor.guava.v26_0_jre.com.google.common.primitives.UnsignedLong) ComputationGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.ComputationGetDataResponse) KeyedGetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.KeyedGetDataResponse) GetDataResponse(org.apache.beam.runners.dataflow.worker.windmill.Windmill.GetDataResponse) Windmill(org.apache.beam.runners.dataflow.worker.windmill.Windmill) DataflowPipelineDebugOptions(org.apache.beam.runners.dataflow.options.DataflowPipelineDebugOptions) Test(org.junit.Test)

Example 4 with ReadInstruction

use of com.google.api.services.dataflow.model.ReadInstruction in project beam by apache.

the class MapTaskToNetworkFunctionTest method testMultipleOutput.

@Test
public void testMultipleOutput() {
    // /---> WriteA
    // Read ---> ParDo
    // \---> WriteB
    InstructionOutput readOutput = createInstructionOutput("Read.out");
    ParallelInstruction read = createParallelInstruction("Read", readOutput);
    read.setRead(new ReadInstruction());
    MultiOutputInfo parDoMultiOutput1 = createMultiOutputInfo("output1");
    MultiOutputInfo parDoMultiOutput2 = createMultiOutputInfo("output2");
    ParDoInstruction parDoInstruction = new ParDoInstruction();
    // Read.out
    parDoInstruction.setInput(createInstructionInput(0, 0));
    parDoInstruction.setMultiOutputInfos(ImmutableList.of(parDoMultiOutput1, parDoMultiOutput2));
    InstructionOutput parDoOutput1 = createInstructionOutput("ParDo.out1");
    InstructionOutput parDoOutput2 = createInstructionOutput("ParDo.out2");
    ParallelInstruction parDo = createParallelInstruction("ParDo", parDoOutput1, parDoOutput2);
    parDo.setParDo(parDoInstruction);
    WriteInstruction writeAInstruction = new WriteInstruction();
    // ParDo.out1
    writeAInstruction.setInput(createInstructionInput(1, 0));
    ParallelInstruction writeA = createParallelInstruction("WriteA");
    writeA.setWrite(writeAInstruction);
    WriteInstruction writeBInstruction = new WriteInstruction();
    // ParDo.out2
    writeBInstruction.setInput(createInstructionInput(1, 1));
    ParallelInstruction writeB = createParallelInstruction("WriteB");
    writeB.setWrite(writeBInstruction);
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(read, parDo, writeA, writeB));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(7, network.nodes().size());
    assertEquals(6, network.edges().size());
    ParallelInstructionNode parDoNode = get(network, parDo);
    ParallelInstructionNode writeANode = get(network, writeA);
    ParallelInstructionNode writeBNode = get(network, writeB);
    InstructionOutputNode parDoOutput1Node = getOnlyPredecessor(network, writeANode);
    assertEquals(parDoOutput1, parDoOutput1Node.getInstructionOutput());
    InstructionOutputNode parDoOutput2Node = getOnlyPredecessor(network, writeBNode);
    assertEquals(parDoOutput2, parDoOutput2Node.getInstructionOutput());
    assertThat(network.successors(parDoNode), Matchers.<Node>containsInAnyOrder(parDoOutput1Node, parDoOutput2Node));
    assertEquals(parDoMultiOutput1, ((MultiOutputInfoEdge) Iterables.getOnlyElement(network.edgesConnecting(parDoNode, parDoOutput1Node))).getMultiOutputInfo());
    assertEquals(parDoMultiOutput2, ((MultiOutputInfoEdge) Iterables.getOnlyElement(network.edgesConnecting(parDoNode, parDoOutput2Node))).getMultiOutputInfo());
}
Also used : MultiOutputInfo(com.google.api.services.dataflow.model.MultiOutputInfo) InstructionOutputNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) Node(org.apache.beam.runners.dataflow.worker.graph.Nodes.Node) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) ReadInstruction(com.google.api.services.dataflow.model.ReadInstruction) ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) ParDoInstruction(com.google.api.services.dataflow.model.ParDoInstruction) InstructionOutputNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode) MapTask(com.google.api.services.dataflow.model.MapTask) WriteInstruction(com.google.api.services.dataflow.model.WriteInstruction) Edge(org.apache.beam.runners.dataflow.worker.graph.Edges.Edge) DefaultEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.DefaultEdge) MultiOutputInfoEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.MultiOutputInfoEdge) Test(org.junit.Test)

Example 5 with ReadInstruction

use of com.google.api.services.dataflow.model.ReadInstruction in project beam by apache.

the class MapTaskToNetworkFunctionTest method testRead.

@Test
public void testRead() {
    InstructionOutput readOutput = createInstructionOutput("Read.out");
    ParallelInstruction read = createParallelInstruction("Read", readOutput);
    read.setRead(new ReadInstruction());
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(read));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(2, network.nodes().size());
    assertEquals(1, network.edges().size());
    ParallelInstructionNode readNode = get(network, read);
    InstructionOutputNode readOutputNode = getOnlySuccessor(network, readNode);
    assertEquals(readOutput, readOutputNode.getInstructionOutput());
}
Also used : ParallelInstruction(com.google.api.services.dataflow.model.ParallelInstruction) InstructionOutputNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode) MapTask(com.google.api.services.dataflow.model.MapTask) InstructionOutputNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) Node(org.apache.beam.runners.dataflow.worker.graph.Nodes.Node) InstructionOutput(com.google.api.services.dataflow.model.InstructionOutput) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) ReadInstruction(com.google.api.services.dataflow.model.ReadInstruction) Edge(org.apache.beam.runners.dataflow.worker.graph.Edges.Edge) DefaultEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.DefaultEdge) MultiOutputInfoEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.MultiOutputInfoEdge) Test(org.junit.Test)

Aggregations

ReadInstruction (com.google.api.services.dataflow.model.ReadInstruction)18 ParallelInstruction (com.google.api.services.dataflow.model.ParallelInstruction)17 InstructionOutput (com.google.api.services.dataflow.model.InstructionOutput)13 CloudObject (org.apache.beam.runners.dataflow.util.CloudObject)9 DefaultEdge (org.apache.beam.runners.dataflow.worker.graph.Edges.DefaultEdge)9 Edge (org.apache.beam.runners.dataflow.worker.graph.Edges.Edge)9 MultiOutputInfoEdge (org.apache.beam.runners.dataflow.worker.graph.Edges.MultiOutputInfoEdge)9 InstructionOutputNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode)9 Node (org.apache.beam.runners.dataflow.worker.graph.Nodes.Node)9 ParallelInstructionNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode)9 Test (org.junit.Test)9 MapTask (com.google.api.services.dataflow.model.MapTask)7 Source (com.google.api.services.dataflow.model.Source)6 ParDoInstruction (com.google.api.services.dataflow.model.ParDoInstruction)5 MultiOutputInfo (com.google.api.services.dataflow.model.MultiOutputInfo)4 WriteInstruction (com.google.api.services.dataflow.model.WriteInstruction)3 TestCountingSource (org.apache.beam.runners.dataflow.worker.testing.TestCountingSource)3 ByteString (org.apache.beam.vendor.grpc.v1p43p2.com.google.protobuf.ByteString)3 FlattenInstruction (com.google.api.services.dataflow.model.FlattenInstruction)2 IOException (java.io.IOException)2