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https://issues.apache.org/jira/browse/BEAM-3708?focusedWorklogId=117669&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-117669
]
ASF GitHub Bot logged work on BEAM-3708:
----------------------------------------
Author: ASF GitHub Bot
Created on: 29/Jun/18 23:41
Start Date: 29/Jun/18 23:41
Worklog Time Spent: 10m
Work Description: youngoli commented on a change in pull request #5795:
[BEAM-3708] Adding grouping table to Precombine step.
URL: https://github.com/apache/beam/pull/5795#discussion_r199302720
##########
File path:
sdks/java/harness/src/main/java/org/apache/beam/fn/harness/CombineRunners.java
##########
@@ -55,6 +83,127 @@
}
}
+ private static class PrecombineRunner<KeyT, InputT, AccumT> {
+ private PipelineOptions options;
+ private CombineFn<InputT, AccumT, ?> combineFn;
+ private FnDataReceiver<WindowedValue<KV<KeyT, AccumT>>> output;
+ private Coder<KeyT> keyCoder;
+ private GroupingTable<WindowedValue<KeyT>, InputT, AccumT> groupingTable;
+ private Coder<AccumT> accumCoder;
+
+ PrecombineRunner(
+ PipelineOptions options,
+ CombineFn<InputT, AccumT, ?> combineFn,
+ FnDataReceiver<WindowedValue<KV<KeyT, AccumT>>> output,
+ Coder<KeyT> keyCoder,
+ Coder<AccumT> accumCoder) {
+ this.options = options;
+ this.combineFn = combineFn;
+ this.output = output;
+ this.keyCoder = keyCoder;
+ this.accumCoder = accumCoder;
+ }
+
+ void startBundle() {
+ GroupingTables.Combiner<WindowedValue<KeyT>, InputT, AccumT, ?>
valueCombiner =
+ new ValueCombiner<>(
+ GlobalCombineFnRunners.create(combineFn),
NullSideInputReader.empty(), options);
+
+ groupingTable =
+ GroupingTables.combiningAndSampling(
+ new WindowingCoderGroupingKeyCreator<>(keyCoder),
+ PairInfo.create(),
+ valueCombiner,
+ new
CoderSizeEstimator<>(WindowedValue.getValueOnlyCoder(keyCoder)),
+ new CoderSizeEstimator<>(accumCoder),
+ 0.001 /*sizeEstimatorSampleRate*/);
+ }
+
+ void processElement(WindowedValue<KV<KeyT, InputT>> elem) throws Exception
{
+ groupingTable.put(
+ elem,
+ (Object outputElem) ->
+ output.accept((WindowedValue<KV<KeyT, AccumT>>) outputElem)
+ );
+ }
+
+ void finishBundle() throws Exception {
+ groupingTable.flush(
+ (Object outputElem) ->
+ output.accept((WindowedValue<KV<KeyT, AccumT>>) outputElem)
+ );
+ }
+ }
+
+ /** A factory for {@link PrecombineRunner}s. */
+ private static class PrecombineFactory<KeyT, InputT, AccumT>
+ implements PTransformRunnerFactory<PrecombineRunner<KeyT, InputT,
AccumT>> {
+
+ @Override
+ public PrecombineRunner<KeyT, InputT, AccumT> createRunnerForPTransform(
+ PipelineOptions pipelineOptions,
+ BeamFnDataClient beamFnDataClient,
+ BeamFnStateClient beamFnStateClient,
+ String pTransformId,
+ PTransform pTransform,
+ Supplier<String> processBundleInstructionId,
+ Map<String, PCollection> pCollections,
+ Map<String, RunnerApi.Coder> coders,
+ Map<String, RunnerApi.WindowingStrategy> windowingStrategies,
+ Multimap<String, FnDataReceiver<WindowedValue<?>>>
pCollectionIdsToConsumers,
+ Consumer<ThrowingRunnable> addStartFunction,
+ Consumer<ThrowingRunnable> addFinishFunction,
+ BundleSplitListener splitListener)
+ throws IOException {
+ // Get objects needed to create the runner.
+ RehydratedComponents rehydratedComponents =
+ RehydratedComponents.forComponents(
+ RunnerApi.Components.newBuilder()
+ .putAllCoders(coders)
+ .putAllWindowingStrategies(windowingStrategies)
+ .build());
+ String mainInputTag =
Iterables.getOnlyElement(pTransform.getInputsMap().keySet());
+ RunnerApi.PCollection mainInput =
pCollections.get(pTransform.getInputsOrThrow(mainInputTag));
+ WindowedValueCoder<KV<KeyT, InputT>> inputCoder =
+ (WindowedValueCoder<KV<KeyT, InputT>>)
+ rehydratedComponents.getCoder(mainInput.getCoderId());
+ Coder<KeyT> keyCoder = ((KvCoder<KeyT, InputT>)
inputCoder.getValueCoder()).getKeyCoder();
+
+ CombinePayload combinePayload =
CombinePayload.parseFrom(pTransform.getSpec().getPayload());
+ CombineFn<InputT, AccumT, ?> combineFn =
+ (CombineFn)
+ SerializableUtils.deserializeFromByteArray(
+
combinePayload.getCombineFn().getSpec().getPayload().toByteArray(),
"CombineFn");
+ Coder<AccumT> accumCoder =
+ (Coder<AccumT>)
rehydratedComponents.getCoder(combinePayload.getAccumulatorCoderId());
+
+ Collection<FnDataReceiver<WindowedValue<KV<KeyT, InputT>>>> consumers =
+ (Collection)
+ pCollectionIdsToConsumers.get(
+
Iterables.getOnlyElement(pTransform.getOutputsMap().values()));
+
+ // Create the runner.
+ PrecombineRunner<KeyT, InputT, AccumT> runner =
+ new PrecombineRunner(
+ pipelineOptions,
+ combineFn,
+ MultiplexingFnDataReceiver.forConsumers(consumers),
+ keyCoder,
+ accumCoder);
+
+ // Register the appropriate handlers.
+ addStartFunction.accept(runner::startBundle);
Review comment:
Fixed
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Issue Time Tracking
-------------------
Worklog Id: (was: 117669)
Time Spent: 3.5h (was: 3h 20m)
> Implement the portable lifted Combiner transforms in Java SDK
> -------------------------------------------------------------
>
> Key: BEAM-3708
> URL: https://issues.apache.org/jira/browse/BEAM-3708
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-java-core, sdk-java-harness
> Reporter: Daniel Oliveira
> Assignee: Daniel Oliveira
> Priority: Major
> Labels: portability
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> Lifted combines are split into separate parts with different URNs. These
> parts need to be implemented in the Java SDK harness so that the SDK can
> actually execute them when receiving Combine transforms with the
> corresponding URNs.
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