Charles Chen created BEAM-10762:
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Summary: Beam Python on Flink fails when no artifacts staged
Key: BEAM-10762
URL: https://issues.apache.org/jira/browse/BEAM-10762
Project: Beam
Issue Type: Bug
Components: java-fn-execution, sdk-py-harness
Affects Versions: 2.23.0
Reporter: Charles Chen
When a Beam job with no artifacts staged is deployed on a Beam-on-Flink cluster
(without the JobServer), it crashes the Python beam worker pool and does not
recover. This causes that job (and subsequent jobs that would have used that
task manager slot) to hang and fail. Strangely, if a Beam job *with* artifacts
staged is run on that Beam worker pool container instance (i.e. using that task
manager slot), subsequent jobs *without* artifacts staged that end up using
that task manager slot run properly and succeed.
When this happens, the error from the worker pool container looks like this:
{code:java}
2020-08-19 01:58:12.287 PDT
2020/08/19 08:58:12 Initializing python harness: /opt/apache/beam/boot --id=1-1
--logging_endpoint=localhost:38839 --artifact_endpoint=localhost:43187
--provision_endpoint=localhost:37259 --control_endpoint=localhost:34931
2020-08-19 01:58:12.305 PDT
2020/08/19 08:58:12 Failed to retrieve staged files: failed to get manifest
2020-08-19 01:58:12.305 PDT
caused by:
2020-08-19 01:58:12.305 PDT
rpc error: code = Unimplemented desc = Method not found:
org.apache.beam.model.job_management.v1.LegacyArtifactRetrievalService/GetManifest
{code}
To reproduce this, it is sufficient to run the wordcount example modified to
set the PipelineOptions flag `save_main_session=False` with Beam 2.23.
{code:java}
python -m apache_beam.examples.wordcount --runner=FlinkRunner
--flink_master=$FLINK_MASTER_HOST:8081 --flink_submit_uber_jar
--environment_type=EXTERNAL --environment_config=localhost:50000 --input
gs://dataflow-samples/shakespeare/kinglear.txt --output gs://my/bucket/location
{code}
This was tested in a Beam-on-Flink cluster deployed on Kubernetes
([https://github.com/GoogleCloudPlatform/flink-on-k8s-operator]) with a
modified version of this patch to use Beam 2.23
([https://github.com/GoogleCloudPlatform/flink-on-k8s-operator/pull/301], i.e.
with instances of "2.22" replaced with "2.23").
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