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https://issues.apache.org/jira/browse/SPARK-45093?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17771836#comment-17771836
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Nikita Awasthi commented on SPARK-45093:
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User 'cdkrot' has created a pull request for this issue:
https://github.com/apache/spark/pull/43216
> AddArtifacts should give proper error messages if it fails
> ----------------------------------------------------------
>
> Key: SPARK-45093
> URL: https://issues.apache.org/jira/browse/SPARK-45093
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.5.0
> Reporter: Alice Sayutina
> Assignee: Alice Sayutina
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> I've been trying to do some testing of udf's using code in other module, so
> that AddArtifact is necessary.
>
> I got the following error:
>
>
> {code:java}
> Traceback (most recent call last):
> File "/Users/alice.sayutina/db-connect-playground/udf2.py", line 5, in
> <module>
> spark.addArtifacts("udf2_support.py", pyfile=True)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/pyspark/sql/connect/session.py",
> line 744, in addArtifacts
> self._client.add_artifacts(*path, pyfile=pyfile, archive=archive,
> file=file)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/pyspark/sql/connect/client/core.py",
> line 1582, in add_artifacts
> self._artifact_manager.add_artifacts(*path, pyfile=pyfile,
> archive=archive, file=file)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/pyspark/sql/connect/client/artifact.py",
> line 283, in add_artifacts
> self._request_add_artifacts(requests)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/pyspark/sql/connect/client/artifact.py",
> line 259, in _request_add_artifacts
> response: proto.AddArtifactsResponse = self._retrieve_responses(requests)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/pyspark/sql/connect/client/artifact.py",
> line 256, in _retrieve_responses
> return self._stub.AddArtifacts(requests, metadata=self._metadata)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/grpc/_channel.py",
> line 1246, in __call__
> return _end_unary_response_blocking(state, call, False, None)
> File
> "/Users/alice.sayutina/db-connect-venv/lib/python3.10/site-packages/grpc/_channel.py",
> line 910, in _end_unary_response_blocking
> raise _InactiveRpcError(state) # pytype: disable=not-instantiable
> grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated
> with:
> status = StatusCode.UNKNOWN
> details = "Exception iterating requests!"
> debug_error_string = "None"
> {code}
>
> Which doesn't give any clue about what happens.
> Only after noticeable investigation I found the problem: I'm specifying the
> wrong path and the artifact fails to upload. Specifically what happens is
> that ArtifactManager doesn't read the file immediately, but rather creates
> iterator object which will incrementally generate requests to send. This
> iterator is passed to grpc's stream_unary to consume and actually send, and
> while grpc catches the error (see above), it suppresses the underlying
> exception.
> I think we should improve pyspark user experience. One of the possible ways
> to fix this is to wrap ArtifactsManager._create_requests with an iterator
> wrapper which would log the throwable into spark connect logger so that user
> would see something like below at least when the debug mode is on.
>
> {code:java}
> FileNotFoundError: [Errno 2] No such file or directory:
> '/Users/alice.sayutina/udf2_support.py' {code}
>
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