Github user BryanCutler commented on the issue:
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I first glance, I thought this issue was slightly different than
https://issues.apache.org/jira/browse/SPARK-23929, but yeah it seems to be the
same. After reading through that discussion, I gu
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GitHub user jose-torres opened a pull request:
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[SPARK-24235][SS] Implement continuous shuffle write RDD for single reader
partition.
## What changes were proposed in this pull request?
Implement continuous shuffle write RDD for a s
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Github user mccheah commented on a diff in the pull request:
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Github user mccheah commented on the issue:
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Alright, this should be good for review now, with all cleanups and
appropriate test coverage in place. Please take a look. Thanks!
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Github user HyukjinKwon commented on the issue:
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H .. I got that this one is more preferable and I think we haven't got
a discussion for this so far if I remember this correctly.
Do you feel strongly about this @icexelloss and @Bry
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ok to test
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Just for clarification, I am okay @BryanCutler if you feel in this way too.
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I do think the current default behavior might be confusing to users and
hard to debug. I have also received similar complaints.
I think at the very least, we should make sure when column
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I remember this summary file is disabled by default anyway. I think it's
fine to just get rid of warnings.
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Did you try remote py files, does it have similar issue?
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Merged to master.
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I haven't tried yet but I believe it has since It downloads into local. It
has the assumption that the file is local within deploy.PythonRunner side too.
Will check for doubly sure.
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@jose-torres thanks for reply. I will try to add a unit test for this.
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Github user gatorsmile commented on the issue:
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How about making it configurable? Users can choose either resolve by names
or resolve by positions. It is hard to say which one is right. If the names do
not match when users want to resolve by n
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Do not backport this to 2.3. This is a behavior change.
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@imarios Please check the dev mailing list. It is being voted.
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LGTM
Thanks! Merged to master.
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I tested:
submit with yarn client: .py local
submit with yarn client: .py remote
submit with standalone client: .py local
submit with standalone client: .py remote
th
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LGTM except one minor comment.
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+/*
+ * Licensed to the
Github user HyukjinKwon commented on the issue:
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Yea agree with not backporting and agree with configuration. Thing is, the
configuration is inaccessible in worker.py side. That's why I was hesitant. The
safest way is just to target 3.0.0 but
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Also, I really think we should mark this feature as experimental.
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--- Diff: python/pyspark/sql/tests.py ---
@@ -4931,6 +4931,33 @@ def foo3(key, pdf):
expected4 = udf3.func((), pdf)
self.assert
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cc @rxin
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