Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-169147628
> Merged into master and 1.6 branch, could you create a JIRA to clean this
once the bugs are fixed in py4j (and released)?
Created sub tasks in https://issues.a
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-169144547
Merged into master and 1.6 branch, could you create a JIRA to clean this
once the bugs are fixed in py4j (and released)?
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Github user asfgit closed the pull request at:
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-169141854
> do we need to merge this into 1.6?
Yes since it affects all people using PySpark Streaming checkpoint.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-169133324
LGTM, do we need to merge this into 1.6?
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
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Github user zsxwing commented on the pull request:
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retest this please
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-168107205
Also ping @tdas since you wrote the `getOrCreate` method.
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-168107024
I submitted a new commit to fix a similar issue when restarting from
checkpoint.
Unlike Scala, PySpark reads the checkpoint twice. Then the
`PythonProxyHandle
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retest this please
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Github user zsxwing commented on the pull request:
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Not sure when py4j will release the next version to fix this one. Looks
py4j doesn't release frequently.
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Github user davies commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-168076075
Is this targeted for 1.6, or we just wait this to be fixed in py4j? The
current change looks over complicated to me.
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/10514#issuecomment-168075619
@davies could you take another look? Actually,
`cls._transformerSerializer`'s fields need to be updated with the parameters.
So my previous approach doesn't work. I up
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