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https://issues.apache.org/jira/browse/BEAM-12875?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rogan Morrow updated BEAM-12875:
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Description:
I am new to this codebase so apologies if I have any misunderstandings, but
from what I can tell when {{SparkExecutableStageFunction}} is called an
{{ArtifactRetrievalService}} is created (if the job bundle factory's
environment cache is cold) to be called by the worker harness.
The issue is that {{FileSystems.setDefaultPipelineOptions}} is not called
before this, so no filesystems are registered. If one is using cloud storage
such as S3 to stage artifacts, then the {{ArtifactRetrievalService}} will not
be able to retrieve the artifacts and throw an exception:
{{java.lang.IllegalArgumentException: No filesystem found for scheme s3}}
{{This doesn't affect other runners such as the Flink runner because it calls
{{FileSystems.setDefaultPipelineOptions}} [in its executable stage function
|https://github.com/apache/beam/blob/v2.32.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/functions/FlinkExecutableStageFunction.java#L151]}}
was:
I am new to this codebase so apologies if I have any misunderstandings, but
from what I can tell when `SparkExecutableStageFunction` is called an
`ArtifactRetrievalService` is created (if the job bundle factory's environment
cache is cold) to be called by the worker harness.
The issue is that `FileSystems.setDefaultPipelineOptions` is not called before
this, so no filesystems are registered. If one is using cloud storage such as
S3 to stage artifacts, then the `ArtifactRetrievalService` will not be able to
retrieve the artifacts and throw an exception:
{{java.lang.IllegalArgumentException: No filesystem found for scheme s3}}
{{This doesn't affect other runners such as the Flink runner because it calls
`FileSystems.setDefaultPipelineOptions` [in its executable stage function
|https://github.com/apache/beam/blob/v2.32.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/functions/FlinkExecutableStageFunction.java#L151]}}
> File systems are not registered when ArtifactRetrievalService is created by
> Spark runner
> ----------------------------------------------------------------------------------------
>
> Key: BEAM-12875
> URL: https://issues.apache.org/jira/browse/BEAM-12875
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Affects Versions: 2.32.0
> Reporter: Rogan Morrow
> Priority: P2
>
> I am new to this codebase so apologies if I have any misunderstandings, but
> from what I can tell when {{SparkExecutableStageFunction}} is called an
> {{ArtifactRetrievalService}} is created (if the job bundle factory's
> environment cache is cold) to be called by the worker harness.
> The issue is that {{FileSystems.setDefaultPipelineOptions}} is not called
> before this, so no filesystems are registered. If one is using cloud storage
> such as S3 to stage artifacts, then the {{ArtifactRetrievalService}} will not
> be able to retrieve the artifacts and throw an exception:
> {{java.lang.IllegalArgumentException: No filesystem found for scheme s3}}
> {{This doesn't affect other runners such as the Flink runner because it calls
> {{FileSystems.setDefaultPipelineOptions}} [in its executable stage function
> |https://github.com/apache/beam/blob/v2.32.0/runners/flink/src/main/java/org/apache/beam/runners/flink/translation/functions/FlinkExecutableStageFunction.java#L151]}}
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