reuvenlax commented on a change in pull request #15731:
URL: https://github.com/apache/beam/pull/15731#discussion_r740639484
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File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowPipelineTranslator.java
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@@ -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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