Python Direct Runner doesn't support both streaming & non streaming sources
Please see Stack Overflow discussion:
When I create a GCS source & a Pub Source and try to flatten both, there is an error because of some incompatible transformation done by the direct runner.
Code example:
gcsEventsColl = p | "Read from GCS" >> beam.io.ReadFromText("gs://sample_events_for_beam/*.log") \
| 'convert to dict' >> beam.Map(lambda x: json.loads(x))
liveEventsColl = p | "Read
from Pubsub" >> beam.io.ReadFromPubSub(topic="projects/axxxx/topics/input_topic") \
| 'convert to dict2' >> beam.Map(lambda x: json.loads(x))
input_rec = (gcsEventsColl, liveEventsColl)
| 'flatten' >> beam.Flatten()
Error:
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 564, in run
return self.runner.run_pipeline(self, self._options)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/runners/direct/direct_runner.py",
line 131, in run_pipeline
return runner.run_pipeline(pipeline, options)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/runners/direct/direct_runner.py",
line 529, in run_pipeline
pipeline.replace_all(_get_transform_overrides(options))
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 504, in replace_all
self._check_replacement(override)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 478, in _check_replacement
self.visit(ReplacementValidator())
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 611, in visit
self._root_transform().visit(visitor, self, visited)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 1195, in visit
part.visit(visitor, pipeline, visited)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 1195, in visit
part.visit(visitor, pipeline, visited)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 1195, in visit
part.visit(visitor, pipeline, visited) [Previous line repeated 4 more times]
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 1198, in visit
visitor.visit_transform(self)
File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/apache_beam/pipeline.py",
line 476, in visit_transform
transform_node) RuntimeError: Transform node AppliedPTransform(Read
from GCS/Read/SDFBoundedSourceReader/ParDo(SDFBoundedSourceDoFn)/ProcessKeyedElements/GroupByKey/GroupByKey,
_GroupByKeyOnly) was not replaced as expected.
The direct runner corrupts the pipeline when it rewrites the transforms.
Imported from Jira BEAM-12586. Original Jira may contain additional context. Reported by: rodriguezc.
Hello. We are currently experiencing this issue as well trying to use beam.Flatten() on a historical Pcol from bigquery and a streaming Pcol from pub/sub.
Has anyone found a temporary workaround?
@jamesandreou would an in-process Flink runner work for you?
# (in a separate terminal)
docker run --net=host apache/beam_flink1.11_job_server:latest
python -m your_pipeline --runner PortableRunner --job_endpoint="localhost:8099" --environment_type="LOOPBACK" --streaming
any update on this?
I don't think there has been significant work on Python streaming direct runner recently.
We are running into this issue trying to implement a slowly changing side input as seen here: https://beam.apache.org/documentation/patterns/side-inputs/
Maybe a note on that page saying it's not working with DirectRunner? Unfortunately my pipeline is not working with Flink runner
@damccorm is working on a fix for PeriodicImpulse transform that may help with that pattern. Not sure if it will work with DirectRunner though as it has other limitations.
@BjornPrime - when you will document direct runner streaming limitations, incorporate https://github.com/apache/beam/issues/21103#issuecomment-1242760530
any update on this?
This is also affecting my pipeline, snippet below:
with beam.Pipeline(argv=pipeline_args) as pipeline:
send_data = (pipeline | "Read Parquet" >> beam.io.ReadFromParquet(known_args.source)
| "Write to PubSub" >> beam.io.WriteToPubSub(topic=known_args.topic)
)
Are there any workarounds for this? Using PeriodicImpulse for updating side inputs in the DirectRunner throws this error in my streaming pipeline.