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This pr improves actual performance values? (My question is that the
calculation is a bottleneck?)
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I have no more comments except the one above.
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--- Diff: python/pyspark/sql/functions.py ---
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return Column(sc._jvm.functions.input_file_name())
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Updates to LICENSE and NOTICE
## What changes were proposed in this pull request?
LICENSE and NOTICE changes as per ASF policy
## How was this patch tested?
N/A
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Can this pr be merged ASAP? Currently there is an error on branch-2.2 .
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Yup, will fix the hive fork thing and be back.
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+/*
+ * Licensed to
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@HyukjinKwon , I'm in favor of @vanzin 's comment, we should fix things
first and then back to this one.
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"Other column
Github user zzcclp commented on the issue:
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@vanzin @tgravescs , after merge this pr into branch-2.2, there is an error
"stageAttemptNumber is not a member of org.apache.spark.TaskContext" in
SparkHadoopMapRedUtil, I think it needs to merge
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My assumption was that the PR and JIRA claim that it's the right behaviour,
as I said multiple times. If there's no such thing, there should be of course
no need to argue about the default
Github user kiszk commented on the issue:
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Even when we stop forking SpotBugs, the same error occurred.
@HyukjinKwon is there any idea? I would appreciate your thoughts.
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Will try to fix it then.
We can just enable it back. If we want to support those Hive versions in
Hadoop 3, we could simply enable them back with some fixes at that time. Adding
the
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+1 pending tests.
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Github user vanzin commented on the issue:
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> The tests were passed in this PR builder
Against your private build of the Hive stuff.
Again, fix that and this will become a lot easier to discuss.
I'm also against
Github user tgravescs commented on the issue:
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backport to branch-2.2, only changes was to mimaExcludes and test file
that had one more call to TaskContext.
@vanzin
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[SPARK-22897][CORE] Expose stageAttemptId in TaskContext
stageAttemptId added in TaskContext and corresponding construction
modification
Added a new test in TaskContextSuite, two cases
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The tests were passed in this PR builder. The only hack I used is that I
landed a one liner fix to an artifact to use it in this PR, which is already in
Hive, and is proposed in Hive's fork
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Github user vanzin commented on the issue:
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I already explained my view of why I don't think this should get in, in its
current form.
Passing tests in someone's private environment, for me, is not a worthy
goal.
You say the
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Github user HyukjinKwon commented on the issue:
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I at least checked if this passed with that fix to fork manually. It fixes
everything else that can be fixed in Spark. I wonder why this should be blocked
to be honest yet. It can't be ran via
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LGTM except some comments about test
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Github user tdyas commented on the issue:
https://github.com/apache/spark/pull/11105
I was curious whether there were any active plans to complete this PR?
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