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jenkins retest this please
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Also cc @tdas @marmbrus
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--- Diff: dev/tox.ini ---
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ignore=E402,E731,E241,W503,E226,E722,E741,E305
max-line-length=100
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Thanks! Merged to 2.2.
Could you close it?
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Supporting Hadoop 3.0 is being discussed. Now, we do not support it yet.
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package
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Thank you @squito .. LGTM otherwise.
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build error unrelated to this PR. retest this please.
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Github user PandaMonkey commented on the issue:
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@dongjoon-hyun Hi, I have a digression question, the latest version of
Hadoop is 3.0.0, why Spark still uses Hadoop 2.6.5? Does spark plan to upgrade
Hadoop from 2.6.5 to 3.0.0?
I am only a
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Because this is a quick fix, my idea is to have a surface patch that
doesn't change existing API. The approach of adding parameter to
`DefaultParamsWriter.saveMetadata` also sounds good to me, but
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@mgaido91 As I said in the PR description, no regression is found so far,
just providing a config to be super safe.
Actually this PR has a problem: the codegen usually happens at executor
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I thought again, instead of "removing default value and restore it again
later (which may cause some side effects)", maybe the better way is, add a
parameter to
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"disable logging
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thanks, merging to master/2.3!
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[SPARK-23419][SPARK-23416][SS] data source v2 write path should re-throw
interruption exceptions directly
## What changes were proposed in this pull request?
Streaming execution has a
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cc @zsxwing @jose-torres @mgaido91
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Can you please elaborate the case to support your fix here?
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retest this please
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LGTM
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--- Diff: core/src/main/java/org/apache/spark/io/ReadAheadInputStream.java
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@@ -78,9 +79,8 @@
// whether there is a read ahead task
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Github user BryanCutler commented on the issue:
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>Does the hijacking of the namedtuple still cause problems on Python 3.6?
I'm not too familiar with the history of this, but I ran PySpark tests that
cover namedtuples with 3.6.3 and
Github user rdblue commented on the issue:
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Okay, I rebased again after SPARK-23303 was reverted.
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I think it's fine in cloudpickle but Spark has the hijacking for regular
pickling. I was thinking of a possibility for a deduplicated fix but might have
to be investigated separately.
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Github user tdas commented on the issue:
https://github.com/apache/spark/pull/20477
Thank you very much @gatorsmile, I promise I will do a proper review of the
streaming side when you reopen this PR.
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/20474
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