Github user davies commented on the issue:
https://github.com/apache/spark/pull/15254
Merging this into master, thanks!
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Github user holdenk commented on the issue:
https://github.com/apache/spark/pull/15254
+1 :)
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15254
Merged build finished. Test PASSed.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15254
Test PASSed.
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Test PASSed.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15254
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Github user SparkQA commented on the issue:
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Github user davies commented on the issue:
https://github.com/apache/spark/pull/15254
lgtm, pending on jenkins.
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Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/15254
Jenkins, this is ok to test.
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Github user JasonMWhite commented on the issue:
https://github.com/apache/spark/pull/15254
@JoshRosen @lins05 As requested, I've removed all remaining explicit
mentions of `ListConverter` and `MapConverter` as they seemed to all be doing
the same thing - getting around https://github.
Github user JoshRosen commented on the issue:
https://github.com/apache/spark/pull/15254
+1 on @lins05's suggestion of going further and removing any
non-unnecessary explicit usages of `ListConverter`; we might as well clean up
all of this in one shot, if possible.
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/15254
cc @JoshRosen and @davies
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Github user lins05 commented on the issue:
https://github.com/apache/spark/pull/15254
I guess we can also remove another workaround
[here](https://github.com/apache/spark/blob/v2.0.0/python/pyspark/rdd.py#L2320-L2328)
?
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/15254
Can one of the admins verify this patch?
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Github user JasonMWhite commented on the issue:
https://github.com/apache/spark/pull/15254
@davies you authored https://github.com/apache/spark/pull/5570 and reported
the issue in Py4J https://github.com/bartdag/py4j/issues/160. I happened across
this while spelunking through Py4J cod
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