Github user holdenk commented on the pull request:
https://github.com/apache/spark/pull/8615#issuecomment-149429382
Re-opened, got time to work on this and I think I fixed the daemonizing
issue.
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GitHub user holdenk reopened a pull request:
https://github.com/apache/spark/pull/8615
[SPARK-10447][WIP][PYSPARK] upgrade pyspark to py4j0.9
Upgrade to Py4j0.9
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Github user kevincox commented on the pull request:
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Of course, I just wanted to encourage the work on this :smiley:
@holdenk I'm quite busy at the moment but if I find time i will definitely
try to help you
Github user JoshRosen commented on the pull request:
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@kevincox, by no means is this rejecting the idea of upgrading to 0.9; I
was only suggesting that we close this PR and re-open once it's ready for
further review. If
Github user holdenk commented on the pull request:
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I can close it for now. I've been meaning to try and spend some more time
tracking down why the callbacks work just super slow but haven't had the
chance. I'll re-open
Github user holdenk closed the pull request at:
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Github user JoshRosen commented on the pull request:
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Hey @holdenk, if you're not planning to work on this soon would you mind
closing this PR to help de-clutter the review queue? Thanks!
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It's a shame that this has caused because there is a huge performance
improvement in 0.9 that I was hoping to cash in on.
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@kevincox if you have any ideas and want to work together on it too I'd be
more than happy (I just sort of hit a wall and hadn't had the time to try any
deeper
Github user holdenk commented on the pull request:
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So I left this running on a machine just to see if it would ever complete,
and it did although:
Finished test(python): pyspark.streaming.tests (762976s)
Finished
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jenkins retest this please.
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jenkins, retest this please.
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jenkins, retest this please.
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Github user justinuang commented on the pull request:
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I think we are missing some of the references to 0.8.2.1
git grep py4j-
LICENSE:For Py4J (python/lib/py4j-0.8.2.1-src.zip)
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@justinuang thanks for pointing that out. I'll update those. Think the main
problem is the daemonization bit in streaming (its showing up in mllib but only
because of
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[SPARK-10447][WIP][PYSPARK] upgrade pyspark to py4j0.9
Upgrade to Py4j0.9
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