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by-position or by-name should be decided by end-users, not data sources.
Unfortunately I don't know if there is a by-name insert syntax in SQL, but for
`DataFrameWriter`, you can try `saveAsTable`
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Thanks! Merging to master!
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thanks, merging to master/2.3!
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I'll send one or more PRs to master for the following things
1. automatically release resource when task ends.
2. fix LIMIT whole-stage-codegen, stop consuming inputs after hitting the
limi
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(Or, alternatively, the output committer could track task IDs instead of
attempt numbers. That should result in the same behavior but haven't really
looked at that.)
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I'm not sure, but I'm starting to think the part of the fix for SPARK-18113
that added the "Authorizing duplicate request..." stuff should be removed.
The rest of that change replaces `askWit
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I guess https://issues.apache.org/jira/browse/SPARK-24492 is potentially
cause by the output committer issue ?
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@gatorsmile @hvanhovell can you take a last look at this? I think it's good
to merge.
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Thank you every one. I merging this.
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Ya, that's too bad to miss this in 2.3.1.
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Github user SparkQA commented on the issue:
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Github user kiszk commented on the issue:
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retest this please
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Github user tgravescs commented on the issue:
https://github.com/apache/spark/pull/21558
yeah that is the code that I was still looking at to verify if it can
actually happen. on a fetch failure the dag scheduler removes the stage from
the ouput committer, but when the new stage attem
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/21558
Actually, scratch that, there is really a problem. The output committer
only checks the stage ID, not the stage attempt ID, so it will still allow
tasks from the failed attempt to commit...
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