nehsyc commented on a change in pull request #13405:
URL: https://github.com/apache/beam/pull/13405#discussion_r538027069
##########
File path: sdks/python/apache_beam/runners/dataflow/ptransform_overrides.py
##########
@@ -329,3 +330,46 @@ def expand(self, pcoll):
return {key: out for key in self.outputs}
return WriteToBigQuery(ptransform, self.outputs)
+
+
+class GroupIntoBatchesWithShardedKeyPTransformOverride(PTransformOverride):
+ """A ``PTransformOverride`` for ``GroupIntoBatches.WithShardedKey``.
+
+ This override simply returns the original transform but additionally records
+ the output PCollection in order to append required step properties during
+ graph translation.
+ """
+ def __init__(self, dataflow_runner, options):
+ self.dataflow_runner = dataflow_runner
+ self.options = options
+
+ def matches(self, applied_ptransform):
+ # Imported here to avoid circular dependencies.
+ # pylint: disable=wrong-import-order, wrong-import-position
+ from apache_beam import util
+
+ transform = applied_ptransform.transform
+
+ if not isinstance(transform, util.GroupIntoBatches.WithShardedKey):
+ return False
+
+ # The replacement is only valid for portable Streaming Engine jobs.
Review comment:
Done.
##########
File path: sdks/python/apache_beam/transforms/util.py
##########
@@ -825,7 +827,60 @@ def expand(self, pcoll):
key_value[1]))
return (
sharded_pcoll
- | GroupIntoBatches(self.batch_size,
self.max_buffering_duration_secs))
+ | GroupIntoBatches(
+ self.params.batch_size, self.params.max_buffering_duration_secs))
+
+ def to_runner_api_parameter(
+ self,
+ unused_context # type: PipelineContext
+ ): # type: (...) -> Tuple[str,
beam_runner_api_pb2.GroupIntoBatchesPayload]
+ return (
+ common_urns.composites.GROUP_INTO_BATCHES_WITH_SHARDED_KEY.urn,
+ self.params.get_payload())
Review comment:
The main reason I extracted the params to a class was to reuse the code
as much as possible since the params of GroupIntoBatches and WithShardedKey are
exactly the same. The class also does parameter validation other than
conversion from/to runner api, and perhaps it would make it easier to add more
params in the future. But let me know if you have opinions.
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