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https://issues.apache.org/jira/browse/BEAM-4297?focusedWorklogId=105213&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-105213
 ]

ASF GitHub Bot logged work on BEAM-4297:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 23/May/18 18:09
            Start Date: 23/May/18 18:09
    Worklog Time Spent: 10m 
      Work Description: lukecwik 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_r190338654
 
 

 ##########
 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());
 
-    throw new RuntimeException("executable stage translation not implemented");
+    // TODO: is this still relevant?
+    // we assume that the transformation does not change the windowing 
strategy.
+    RunnerApi.WindowingStrategy windowingStrategyProto =
+            pipeline.getComponents().getWindowingStrategiesOrThrow(
+                    pipeline.getComponents().getPcollectionsOrThrow(
 
 Review comment:
   You should rely on `getInputPCollection().pcollection()` from the 
`ExecutableStage` that you could construct above from the payload.

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 105213)
    Time Spent: 1h 20m  (was: 1h 10m)

> 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 20m
>  Remaining Estimate: 0h
>




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