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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2021/11/02 00:21:00 UTC

[jira] [Work logged] (BEAM-13067) GroupIntoBatches should be considered a key-preserving operation by Dataflow

     [ https://issues.apache.org/jira/browse/BEAM-13067?focusedWorklogId=672919&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-672919 ]

ASF GitHub Bot logged work on BEAM-13067:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Nov/21 00:20
            Start Date: 02/Nov/21 00:20
    Worklog Time Spent: 10m 
      Work Description: reuvenlax commented on a change in pull request #15731:
URL: https://github.com/apache/beam/pull/15731#discussion_r740639484



##########
File path: runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowPipelineTranslator.java
##########
@@ -716,13 +716,13 @@ private void addOutput(String name, PValue value, Coder<?> valueCoder) {
       translator.registerOutputName(value, name);
 
       // If the output requires runner determined sharding, also append necessary input properties.
-      if (value instanceof PCollection
-          && translator.runner.doesPCollectionRequireAutoSharding((PCollection<?>) value)) {
-        addInput(PropertyNames.ALLOWS_SHARDABLE_STATE, "true");
-        // Currently we only allow auto-sharding to be enabled through the GroupIntoBatches
-        // transform. So we also add the following property which GroupIntoBatchesDoFn has, to allow
-        // the backend to perform graph optimization.
-        addInput(PropertyNames.PRESERVES_KEYS, "true");
+      if (value instanceof PCollection) {
+        if (translator.runner.doesPCollectionRequireAutoSharding((PCollection<?>) value)) {
+          addInput(PropertyNames.ALLOWS_SHARDABLE_STATE, "true");
+        }
+        if (translator.runner.doesPCollectionPreserveKeys((PCollection<?>) value)) {
+          addInput(PropertyNames.PRESERVES_KEYS, "true");

Review comment:
       Would like to generalize and also make this a model feature. There are some other things worth adding as well, such as PARTITIONED_BY_KEY (right now the model doesn't really know if a PCollection<KV> is already partitioned by key. runners can infer it by looking for a GroupByKey followed by only key-preserving operations. however what is a source produces items already partitioned by key?)




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

    Worklog Id:     (was: 672919)
    Time Spent: 1h 50m  (was: 1h 40m)

> GroupIntoBatches should be considered a key-preserving operation by Dataflow
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-13067
>                 URL: https://issues.apache.org/jira/browse/BEAM-13067
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-dataflow
>    Affects Versions: 2.33.0
>            Reporter: Reuven Lax
>            Priority: P2
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>
> Dataflow today only marks GroupIntoBatches as key preserving if auto sharding is enabled. It should mark it as key preserving regardless.



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