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https://issues.apache.org/jira/browse/BEAM-4297?focusedWorklogId=105233&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-105233
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ASF GitHub Bot logged work on BEAM-4297:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/May/18 18:25
Start Date: 23/May/18 18:25
Worklog Time Spent: 10m
Work Description: bsidhom commented on a change in pull request #5407:
[BEAM-4297] Streaming executable stage translation and operator for portable
Flink runner.
URL: https://github.com/apache/beam/pull/5407#discussion_r190352395
##########
File path:
runners/flink/src/main/java/org/apache/beam/runners/flink/FlinkStreamingPortablePipelineTranslator.java
##########
@@ -423,8 +432,133 @@ private void translateImpulse(
String id,
RunnerApi.Pipeline pipeline,
StreamingTranslationContext context) {
+ // TODO: Fail on stateful DoFns for now.
+ // TODO: Support stateful DoFns by inserting group-by-keys where necessary.
+ // TODO: Fail on splittable DoFns.
+ // TODO: Special-case single outputs to avoid multiplexing PCollections.
+ RunnerApi.Components components = pipeline.getComponents();
+ RunnerApi.PTransform transform = components.getTransformsOrThrow(id);
+ Map<String, String> outputs = transform.getOutputsMap();
+ RehydratedComponents rehydratedComponents =
+ RehydratedComponents.forComponents(components);
+
+ BiMap<String, Integer> outputMap =
+ FlinkPipelineTranslatorUtils.createOutputMap(outputs.keySet());
+ Map<String, Coder<WindowedValue<?>>> outputCoders = Maps.newHashMap();
+ for (String localOutputName : new TreeMap<>(outputMap.inverse()).values())
{
+ String collectionId = outputs.get(localOutputName);
+ Coder<WindowedValue<?>> windowCoder = (Coder)
instantiateCoder(collectionId, components);
+ outputCoders.put(localOutputName, windowCoder);
+ }
+
+ final RunnerApi.ExecutableStagePayload stagePayload;
+ try {
+ stagePayload =
RunnerApi.ExecutableStagePayload.parseFrom(transform.getSpec().getPayload());
+ } catch (IOException e) {
+ throw new RuntimeException(e);
+ }
+
+ String inputPCollectionId =
+ Iterables.getOnlyElement(transform.getInputsMap().values());
Review comment:
As above, we need to pass a serializable representation to operators. We
could create an ExecutableStage here and then reconstruct it on the runner. In
that case, we need to ensure that two ExecutableStages constructed from the
same ExecutableStagePayload are _always_ equivalent (including any synthetic
ids that may be generated). That should be the case as of now, but we need to
be careful.
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Issue Time Tracking
-------------------
Worklog Id: (was: 105233)
Time Spent: 1h 40m (was: 1.5h)
> Flink portable runner executable stage operator for streaming
> -------------------------------------------------------------
>
> Key: BEAM-4297
> URL: https://issues.apache.org/jira/browse/BEAM-4297
> Project: Beam
> Issue Type: Task
> Components: runner-flink
> Reporter: Thomas Weise
> Assignee: Thomas Weise
> Priority: Major
> Labels: portability
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
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