boyuanzz commented on a change in pull request #13805:
URL: https://github.com/apache/beam/pull/13805#discussion_r568093837
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowRunner.java
##########
@@ -1365,21 +1365,19 @@ void
addPCollectionRequiringIndexedFormat(PCollection<?> pcol) {
}
void maybeRecordPCollectionWithAutoSharding(PCollection<?> pcol) {
- if (hasExperiment(options, "beam_fn_api")) {
+ if (!options.isEnableStreamingEngine()) {
LOG.warn(
- "Runner determined sharding not available in Dataflow for
GroupIntoBatches for portable "
- + "jobs. Default sharding will be applied.");
+ "Runner determined sharding not available in Dataflow for
GroupIntoBatches for "
+ + "non-Streaming Engine jobs. Default sharding will be
applied.");
return;
}
- if (!options.isEnableStreamingEngine()) {
+ if (!hasExperiment(options, "enable_streaming_auto_sharding")) {
LOG.warn(
- "Runner determined sharding not available in Dataflow for
GroupIntoBatches for Streaming "
- + "Appliance jobs. Default sharding will be applied.");
+ "Runner determined sharding not enabled in Dataflow for
GroupIntoBatches for Streaming "
+ + "Engine jobs. Default sharding will be applied.");
return;
}
- if (hasExperiment(options, "enable_streaming_auto_sharding")) {
- pcollectionsRequiringAutoSharding.add(pcol);
- }
+ pcollectionsRequiringAutoSharding.add(pcol);
Review comment:
I think we also want to want to check the case `hasExperiment(options,
"beam_fn_api") && !hasExperiment(options, "use_runner_v2")`
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