use of org.apache.beam.model.pipeline.v1.RunnerApi.Components in project beam by apache.
the class GreedyPipelineFuserTest method statefulParDoRootsStage.
/*
* impulse -> .out -> parDo -> .out -> stateful -> .out
* becomes
* (impulse.out) -> parDo -> (parDo.out)
* (parDo.out) -> stateful
*/
@Test
public void statefulParDoRootsStage() {
// (impulse.out) -> parDo -> (parDo.out)
// (parDo.out) -> stateful -> stateful.out
// stateful has a state spec which prevents it from fusing with an upstream ParDo
PTransform parDoTransform = PTransform.newBuilder().setUniqueName("ParDo").putInputs("input", "impulse.out").putOutputs("output", "parDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("common").build();
PTransform statefulTransform = PTransform.newBuilder().setUniqueName("StatefulParDo").putInputs("input", "parDo.out").putOutputs("output", "stateful.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).putStateSpecs("state", StateSpec.getDefaultInstance()).build().toByteString())).setEnvironmentId("common").build();
Components components = partialComponents.toBuilder().putTransforms("parDo", parDoTransform).putPcollections("parDo.out", pc("parDo.out")).putTransforms("stateful", statefulTransform).putPcollections("stateful.out", pc("stateful.out")).putEnvironments("common", Environments.createDockerEnvironment("common")).build();
FusedPipeline fused = GreedyPipelineFuser.fuse(Pipeline.newBuilder().setComponents(components).addRequirements(ParDoTranslation.REQUIRES_STATEFUL_PROCESSING_URN).build());
assertThat(fused.getRunnerExecutedTransforms(), containsInAnyOrder(PipelineNode.pTransform("impulse", components.getTransformsOrThrow("impulse"))));
assertThat(fused.getFusedStages(), containsInAnyOrder(ExecutableStageMatcher.withInput("impulse.out").withOutputs("parDo.out").withTransforms("parDo"), ExecutableStageMatcher.withInput("parDo.out").withNoOutputs().withTransforms("stateful")));
}
use of org.apache.beam.model.pipeline.v1.RunnerApi.Components in project beam by apache.
the class GreedyPipelineFuserTest method sideInputRootsNewStage.
/*
* impulseA -> .out -> read -> .out -> leftParDo -> .out
* \ -> rightParDo -> .out
* ------> sideInputParDo -> .out
* /
* impulseB -> .out -> side_read -> .out /
*
* becomes
* (impulseA.out) -> read -> (read.out)
* (read.out) -> leftParDo
* \
* -> rightParDo
* (read.out) -> sideInputParDo
* (impulseB.out) -> side_read
*/
@Test
public void sideInputRootsNewStage() {
Components components = Components.newBuilder().putCoders("coder", Coder.newBuilder().build()).putCoders("windowCoder", Coder.newBuilder().build()).putWindowingStrategies("ws", WindowingStrategy.newBuilder().setWindowCoderId("windowCoder").build()).putTransforms("mainImpulse", PTransform.newBuilder().setUniqueName("MainImpulse").putOutputs("output", "mainImpulse.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.IMPULSE_TRANSFORM_URN)).build()).putPcollections("mainImpulse.out", pc("mainImpulse.out")).putTransforms("read", PTransform.newBuilder().setUniqueName("Read").putInputs("input", "mainImpulse.out").putOutputs("output", "read.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("read.out", pc("read.out")).putTransforms("sideImpulse", PTransform.newBuilder().setUniqueName("SideImpulse").putOutputs("output", "sideImpulse.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.IMPULSE_TRANSFORM_URN)).build()).putPcollections("sideImpulse.out", pc("sideImpulse.out")).putTransforms("sideRead", PTransform.newBuilder().setUniqueName("SideRead").putInputs("input", "sideImpulse.out").putOutputs("output", "sideRead.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("sideRead.out", pc("sideRead.out")).putTransforms("leftParDo", PTransform.newBuilder().setUniqueName("LeftParDo").putInputs("main", "read.out").putOutputs("output", "leftParDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString()).build()).setEnvironmentId("py").build()).putPcollections("leftParDo.out", pc("leftParDo.out")).putTransforms("rightParDo", PTransform.newBuilder().setUniqueName("RightParDo").putInputs("main", "read.out").putOutputs("output", "rightParDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString()).build()).setEnvironmentId("py").build()).putPcollections("rightParDo.out", pc("rightParDo.out")).putTransforms("sideParDo", PTransform.newBuilder().setUniqueName("SideParDo").putInputs("main", "read.out").putInputs("side", "sideRead.out").putOutputs("output", "sideParDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).putSideInputs("side", SideInput.getDefaultInstance()).build().toByteString()).build()).setEnvironmentId("py").build()).putPcollections("sideParDo.out", pc("sideParDo.out")).putEnvironments("py", Environments.createDockerEnvironment("py")).build();
FusedPipeline fused = GreedyPipelineFuser.fuse(Pipeline.newBuilder().setComponents(components).build());
assertThat(fused.getRunnerExecutedTransforms(), containsInAnyOrder(PipelineNode.pTransform("mainImpulse", components.getTransformsOrThrow("mainImpulse")), PipelineNode.pTransform("sideImpulse", components.getTransformsOrThrow("sideImpulse"))));
assertThat(fused.getFusedStages(), containsInAnyOrder(ExecutableStageMatcher.withInput("mainImpulse.out").withOutputs("read.out").withTransforms("read"), ExecutableStageMatcher.withInput("read.out").withNoOutputs().withTransforms("leftParDo", "rightParDo"), ExecutableStageMatcher.withInput("read.out").withSideInputs(RunnerApi.ExecutableStagePayload.SideInputId.newBuilder().setTransformId("sideParDo").setLocalName("side").build()).withNoOutputs().withTransforms("sideParDo"), ExecutableStageMatcher.withInput("sideImpulse.out").withOutputs("sideRead.out").withTransforms("sideRead")));
}
use of org.apache.beam.model.pipeline.v1.RunnerApi.Components in project beam by apache.
the class GreedyPipelineFuserTest method multipleEnvironmentsBecomesMultipleStages.
/*
* impulse -> .out -> read -> .out --> goTransform -> .out
* \
* -> pyTransform -> .out
* becomes (impulse.out) -> read -> (read.out)
* (read.out) -> goTransform
* (read.out) -> pyTransform
*/
@Test
public void multipleEnvironmentsBecomesMultipleStages() {
Components components = partialComponents.toBuilder().putTransforms("read", PTransform.newBuilder().setUniqueName("Read").putInputs("input", "impulse.out").putOutputs("output", "read.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("read.out", pc("read.out")).putTransforms("goTransform", PTransform.newBuilder().setUniqueName("GoTransform").putInputs("input", "read.out").putOutputs("output", "go.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("go").build()).putPcollections("go.out", pc("go.out")).putTransforms("pyTransform", PTransform.newBuilder().setUniqueName("PyTransform").putInputs("input", "read.out").putOutputs("output", "py.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.ASSIGN_WINDOWS_TRANSFORM_URN).setPayload(WindowIntoPayload.newBuilder().setWindowFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("py.out", pc("py.out")).build();
FusedPipeline fused = GreedyPipelineFuser.fuse(Pipeline.newBuilder().setComponents(components).build());
// Impulse is the runner transform
assertThat(fused.getRunnerExecutedTransforms(), hasSize(1));
assertThat(fused.getFusedStages(), hasSize(3));
assertThat(fused.getFusedStages(), containsInAnyOrder(ExecutableStageMatcher.withInput("impulse.out").withOutputs("read.out").withTransforms("read"), ExecutableStageMatcher.withInput("read.out").withNoOutputs().withTransforms("pyTransform"), ExecutableStageMatcher.withInput("read.out").withNoOutputs().withTransforms("goTransform")));
}
use of org.apache.beam.model.pipeline.v1.RunnerApi.Components in project beam by apache.
the class GreedyPipelineFuserTest method flattenAfterNoEnvDoesNotFuse.
/*
* impulseA -> .out -> flatten -> .out -> read -> .out -> parDo -> .out
* becomes
* (flatten.out) -> read -> parDo
*
* Flatten, specifically, doesn't fuse greedily into downstream environments or act as a sibling
* to any of those nodes, but the routing is instead handled by the Runner.
*/
@Test
public void flattenAfterNoEnvDoesNotFuse() {
Components components = partialComponents.toBuilder().putTransforms("flatten", PTransform.newBuilder().setUniqueName("Flatten").putInputs("impulseInput", "impulse.out").putOutputs("output", "flatten.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.FLATTEN_TRANSFORM_URN).build()).build()).putPcollections("flatten.out", pc("flatten.out")).putTransforms("read", PTransform.newBuilder().setUniqueName("Read").putInputs("input", "flatten.out").putOutputs("output", "read.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("read.out", pc("read.out")).putTransforms("parDo", PTransform.newBuilder().setUniqueName("ParDo").putInputs("input", "read.out").putOutputs("output", "parDo.out").setSpec(FunctionSpec.newBuilder().setUrn(PTransformTranslation.PAR_DO_TRANSFORM_URN).setPayload(ParDoPayload.newBuilder().setDoFn(FunctionSpec.newBuilder().build()).build().toByteString())).setEnvironmentId("py").build()).putPcollections("parDo.out", pc("parDo.out")).build();
FusedPipeline fused = GreedyPipelineFuser.fuse(Pipeline.newBuilder().setComponents(components).build());
assertThat(fused.getRunnerExecutedTransforms(), containsInAnyOrder(PipelineNode.pTransform("impulse", components.getTransformsOrThrow("impulse")), PipelineNode.pTransform("flatten", components.getTransformsOrThrow("flatten"))));
assertThat(fused.getFusedStages(), contains(ExecutableStageMatcher.withInput("flatten.out").withNoOutputs().withTransforms("read", "parDo")));
}
use of org.apache.beam.model.pipeline.v1.RunnerApi.Components in project beam by apache.
the class QueryablePipelineTest method forTransformsWithSubgraph.
@Test
public void forTransformsWithSubgraph() {
Components components = Components.newBuilder().putTransforms("root", PTransform.newBuilder().putOutputs("output", "output.out").build()).putPcollections("output.out", RunnerApi.PCollection.newBuilder().setUniqueName("output.out").build()).putTransforms("consumer", PTransform.newBuilder().putInputs("input", "output.out").build()).putTransforms("ignored", PTransform.newBuilder().putInputs("input", "output.out").build()).build();
QueryablePipeline pipeline = QueryablePipeline.forTransforms(ImmutableSet.of("root", "consumer"), components);
assertThat(pipeline.getRootTransforms(), contains(PipelineNode.pTransform("root", components.getTransformsOrThrow("root"))));
Set<PTransformNode> consumers = pipeline.getPerElementConsumers(PipelineNode.pCollection("output.out", components.getPcollectionsOrThrow("output.out")));
assertThat(consumers, contains(PipelineNode.pTransform("consumer", components.getTransformsOrThrow("consumer"))));
}
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