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Example 31 with ParallelInstructionNode

use of org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode in project beam by apache.

the class MapTaskToNetworkFunctionTest method testParDo.

@Test
public void testParDo() {
    InstructionOutput readOutput = createInstructionOutput("Read.out");
    ParallelInstruction read = createParallelInstruction("Read", readOutput);
    read.setRead(new ReadInstruction());
    MultiOutputInfo parDoMultiOutput = createMultiOutputInfo("output");
    ParDoInstruction parDoInstruction = new ParDoInstruction();
    // Read.out
    parDoInstruction.setInput(createInstructionInput(0, 0));
    parDoInstruction.setMultiOutputInfos(ImmutableList.of(parDoMultiOutput));
    InstructionOutput parDoOutput = createInstructionOutput("ParDo.out");
    ParallelInstruction parDo = createParallelInstruction("ParDo", parDoOutput);
    parDo.setParDo(parDoInstruction);
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(read, parDo));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(4, network.nodes().size());
    assertEquals(3, network.edges().size());
    ParallelInstructionNode readNode = get(network, read);
    InstructionOutputNode readOutputNode = getOnlySuccessor(network, readNode);
    assertEquals(readOutput, readOutputNode.getInstructionOutput());
    ParallelInstructionNode parDoNode = getOnlySuccessor(network, readOutputNode);
    InstructionOutputNode parDoOutputNode = getOnlySuccessor(network, parDoNode);
    assertEquals(parDoOutput, parDoOutputNode.getInstructionOutput());
    assertEquals(parDoMultiOutput, ((MultiOutputInfoEdge) Iterables.getOnlyElement(network.edgesConnecting(parDoNode, parDoOutputNode))).getMultiOutputInfo());
}
Also used : 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) MultiOutputInfo(com.google.api.services.dataflow.model.MultiOutputInfo) 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)

Example 32 with ParallelInstructionNode

use of org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode in project beam by apache.

the class MapTaskToNetworkFunctionTest method testFlatten.

@Test
public void testFlatten() {
    // ReadA --\
    // |--> Flatten
    // ReadB --/
    InstructionOutput readOutputA = createInstructionOutput("ReadA.out");
    ParallelInstruction readA = createParallelInstruction("ReadA", readOutputA);
    readA.setRead(new ReadInstruction());
    InstructionOutput readOutputB = createInstructionOutput("ReadB.out");
    ParallelInstruction readB = createParallelInstruction("ReadB", readOutputB);
    readB.setRead(new ReadInstruction());
    FlattenInstruction flattenInstruction = new FlattenInstruction();
    flattenInstruction.setInputs(ImmutableList.of(// ReadA.out
    createInstructionInput(0, 0), // ReadB.out
    createInstructionInput(1, 0)));
    InstructionOutput flattenOutput = createInstructionOutput("Flatten.out");
    ParallelInstruction flatten = createParallelInstruction("Flatten", flattenOutput);
    flatten.setFlatten(flattenInstruction);
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(readA, readB, flatten));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(6, network.nodes().size());
    assertEquals(5, network.edges().size());
    ParallelInstructionNode readANode = get(network, readA);
    InstructionOutputNode readOutputANode = getOnlySuccessor(network, readANode);
    assertEquals(readOutputA, readOutputANode.getInstructionOutput());
    ParallelInstructionNode readBNode = get(network, readB);
    InstructionOutputNode readOutputBNode = getOnlySuccessor(network, readBNode);
    assertEquals(readOutputB, readOutputBNode.getInstructionOutput());
    // Make sure the successors for both ReadA and ReadB output PCollections are the same
    assertEquals(network.successors(readOutputANode), network.successors(readOutputBNode));
    ParallelInstructionNode flattenNode = getOnlySuccessor(network, readOutputANode);
    InstructionOutputNode flattenOutputNode = getOnlySuccessor(network, flattenNode);
    assertEquals(flattenOutput, flattenOutputNode.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) FlattenInstruction(com.google.api.services.dataflow.model.FlattenInstruction) 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 33 with ParallelInstructionNode

use of org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode in project beam by apache.

the class MapTaskToNetworkFunctionTest method testPartialGroupByKey.

@Test
public void testPartialGroupByKey() {
    // Read --> PGBK --> Write
    InstructionOutput readOutput = createInstructionOutput("Read.out");
    ParallelInstruction read = createParallelInstruction("Read", readOutput);
    read.setRead(new ReadInstruction());
    PartialGroupByKeyInstruction pgbkInstruction = new PartialGroupByKeyInstruction();
    // Read.out
    pgbkInstruction.setInput(createInstructionInput(0, 0));
    InstructionOutput pgbkOutput = createInstructionOutput("PGBK.out");
    ParallelInstruction pgbk = createParallelInstruction("PGBK", pgbkOutput);
    pgbk.setPartialGroupByKey(pgbkInstruction);
    WriteInstruction writeInstruction = new WriteInstruction();
    // PGBK.out
    writeInstruction.setInput(createInstructionInput(1, 0));
    ParallelInstruction write = createParallelInstruction("Write");
    write.setWrite(writeInstruction);
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(read, pgbk, write));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(5, network.nodes().size());
    assertEquals(4, network.edges().size());
    ParallelInstructionNode readNode = get(network, read);
    InstructionOutputNode readOutputNode = getOnlySuccessor(network, readNode);
    assertEquals(readOutput, readOutputNode.getInstructionOutput());
    ParallelInstructionNode pgbkNode = getOnlySuccessor(network, readOutputNode);
    InstructionOutputNode pgbkOutputNode = getOnlySuccessor(network, pgbkNode);
    assertEquals(pgbkOutput, pgbkOutputNode.getInstructionOutput());
    getOnlySuccessor(network, pgbkOutputNode);
    assertNotNull(write);
}
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) WriteInstruction(com.google.api.services.dataflow.model.WriteInstruction) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) PartialGroupByKeyInstruction(com.google.api.services.dataflow.model.PartialGroupByKeyInstruction) 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)

Example 34 with ParallelInstructionNode

use of org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode in project beam by apache.

the class MapTaskToNetworkFunctionTest method testWrite.

@Test
public void testWrite() {
    InstructionOutput readOutput = createInstructionOutput("Read.out");
    ParallelInstruction read = createParallelInstruction("Read", readOutput);
    read.setRead(new ReadInstruction());
    WriteInstruction writeInstruction = new WriteInstruction();
    // Read.out
    writeInstruction.setInput(createInstructionInput(0, 0));
    ParallelInstruction write = createParallelInstruction("Write");
    write.setWrite(writeInstruction);
    MapTask mapTask = new MapTask();
    mapTask.setInstructions(ImmutableList.of(read, write));
    mapTask.setFactory(Transport.getJsonFactory());
    Network<Node, Edge> network = new MapTaskToNetworkFunction(IdGenerators.decrementingLongs()).apply(mapTask);
    assertNetworkProperties(network);
    assertEquals(3, network.nodes().size());
    assertEquals(2, network.edges().size());
    ParallelInstructionNode readNode = get(network, read);
    InstructionOutputNode readOutputNode = getOnlySuccessor(network, readNode);
    assertEquals(readOutput, readOutputNode.getInstructionOutput());
    ParallelInstructionNode writeNode = getOnlySuccessor(network, readOutputNode);
    assertNotNull(writeNode);
}
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) WriteInstruction(com.google.api.services.dataflow.model.WriteInstruction) 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)

Example 35 with ParallelInstructionNode

use of org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode in project beam by apache.

the class MapTaskToNetworkFunctionTest method assertNetworkProperties.

private static void assertNetworkProperties(Network<Node, Edge> network) {
    assertTrue(network.isDirected());
    assertFalse(network.allowsSelfLoops());
    for (Node node : network.nodes()) {
        if (node instanceof ParallelInstructionNode) {
            assertNull(((ParallelInstructionNode) node).getParallelInstruction().getOutputs());
            // except for ParDoInstructions
            for (Node successor : network.successors(node)) {
                assertThat(successor, instanceOf(InstructionOutputNode.class));
                // Assert that all outgoing edges for a ParDo are MultiOutputInfoEdges
                if (((ParallelInstructionNode) node).getParallelInstruction().getParDo() != null) {
                    for (Edge edge : network.edgesConnecting(node, successor)) {
                        assertThat(edge, instanceOf(MultiOutputInfoEdge.class));
                    }
                } else {
                    for (Edge edge : network.edgesConnecting(node, successor)) {
                        assertThat(edge, instanceOf(DefaultEdge.class));
                    }
                }
            }
        } else if (node instanceof InstructionOutputNode) {
            assertThat(network.inDegree(node), greaterThanOrEqualTo(1));
            // Validate that all successors are instructions with DefaultEdge outgoing edges
            for (Node successor : network.successors(node)) {
                assertThat(successor, instanceOf(ParallelInstructionNode.class));
                for (Edge edge : network.edgesConnecting(node, successor)) {
                    assertThat(edge, instanceOf(DefaultEdge.class));
                }
            }
        }
    }
}
Also used : InstructionOutputNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode) 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) ParallelInstructionNode(org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode) DefaultEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.DefaultEdge) MultiOutputInfoEdge(org.apache.beam.runners.dataflow.worker.graph.Edges.MultiOutputInfoEdge) 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)

Aggregations

ParallelInstructionNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.ParallelInstructionNode)40 Node (org.apache.beam.runners.dataflow.worker.graph.Nodes.Node)35 InstructionOutputNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.InstructionOutputNode)31 Edge (org.apache.beam.runners.dataflow.worker.graph.Edges.Edge)24 ParallelInstruction (com.google.api.services.dataflow.model.ParallelInstruction)21 Test (org.junit.Test)20 DefaultEdge (org.apache.beam.runners.dataflow.worker.graph.Edges.DefaultEdge)18 MultiOutputInfoEdge (org.apache.beam.runners.dataflow.worker.graph.Edges.MultiOutputInfoEdge)14 InstructionOutput (com.google.api.services.dataflow.model.InstructionOutput)10 ParDoInstruction (com.google.api.services.dataflow.model.ParDoInstruction)9 ReadInstruction (com.google.api.services.dataflow.model.ReadInstruction)9 MapTask (com.google.api.services.dataflow.model.MapTask)8 OperationNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.OperationNode)8 List (java.util.List)6 RemoteGrpcPortNode (org.apache.beam.runners.dataflow.worker.graph.Nodes.RemoteGrpcPortNode)6 ImmutableMap (org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableMap)6 HashMap (java.util.HashMap)5 CloudObject (org.apache.beam.runners.dataflow.util.CloudObject)5 NameContext (org.apache.beam.runners.dataflow.worker.counters.NameContext)5 ParDoOperation (org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation)5