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https://issues.apache.org/jira/browse/BEAM-4297?focusedWorklogId=106470&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-106470
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ASF GitHub Bot logged work on BEAM-4297:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 29/May/18 06:04
            Start Date: 29/May/18 06:04
    Worklog Time Spent: 10m 
      Work Description: tweise 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_r191311373
 
 

 ##########
 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 =
 
 Review comment:
   Removed, it was a remnant of translation code from old runner (only used in 
case of stateful ParDo). Since key handling and output encoding will happen in 
the SDK harness, we probably won't need to know the windowing strategy in the 
operator.

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

    Worklog Id:     (was: 106470)
    Time Spent: 3h 40m  (was: 3.5h)

> 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: 3h 40m
>  Remaining Estimate: 0h
>




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