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*
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* The
Github user zhengruifeng commented on the issue:
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No other algs output multi-column for now
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+/*
+ *
Github user srowen commented on the issue:
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OK, so another back-port to fix the 2.11 REPL, which should be resolved in
2.12 anyway?
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Merging to master / 2.2.
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(There was a conflict in 2.2, open a new PR if you want it there.)
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To ensure no external behavior change, we should use RoundRobinPartitioning
when the expression list is empty, instead of issuing an exception. It will be
also consistent with the existing
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Github user vanzin commented on the issue:
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I'm trying to understand what is
https://github.com/apache/spark/blob/master/python/pyspark/context.py#L191
really achieving. It seems pretty broken to me and feels like the whole
`pythonExec`
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+/*
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@yaooqinn OK, I see the situation.
In client mode, I think we can't use `spark.yarn.appMasterEnv.XXX` which is
for cluster mode. So we should use environment variable `PYSPARK_PYTHON` or
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Retest this please.
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please review it again, thanks all.
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@yaooqinn I meant it is not used for `pythonExec`.
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ok to test
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@ueshin
[context.py#L191](https://github.com/yaooqinn/spark/blob/8ff5663fe9a32eae79c8ee6bc310409170a8da64/python/pyspark/context.py#L191)
set for both driver and executor?
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Thanks for your work! A late LGTM
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@yaooqinn It is used for executors.
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retest this please.
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Github user yaooqinn commented on the issue:
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I can `spark.executorEnv.PYSPARK_PYTHON` in `sparkConf` at executor side ,
because it is set at
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@ueshin i see.
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--- Diff: python/pyspark/sql/functions.py ---
@@ -2070,6 +2070,8 @@ class PandasUDFType(object):
GROUP_MAP =
Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/19872#discussion_r154615728
--- Diff: python/pyspark/sql/udf.py ---
@@ -56,6 +56,10 @@ def _create_udf(f, returnType, evalType):
return udf_obj._wrapped()
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