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--- Diff: docs/building-spark.md ---
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by the
to be runnable, use
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ok to test
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[SPARK-25016][BUILD][CORE] Remove support for Hadoop 2.6
## What changes were proposed in this pull request?
Remove Hadoop 2.6 references and make 2.7 the default.
Obviously, this is
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Thanks, @srowen and @gatorsmile . That sounds good to me.
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HiveClient.getPartitionsByFilter should not throw an exception if HMS
retries directSql
## What changes were proposed in this pull request?
When using partition filter pushdown to
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Yes. Let us wait for the release of 2.4
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You mean http://spark.apache.org/versioning-policy.html and the reference
to 2.4? I think that's still valid. When 2.4 is released, I'd propose to change
that to refer to 3.0 being released .. I
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It's about 3.0.0. So, I guess PMC knows the detail and the future. :)
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Retest this please.
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@HyukjinKwon is this ready to be merged in, or is there more feedback to be
addressed?
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Retest this please.
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Rebased to `master` due to https://github.com/apache/spark/pull/22599.
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Thanks will do!
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@dongjoon-hyun Could you help me fix the website?
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Since it's merged into `branch-2.2`, could you close this PR? GitHub only
closes the PRs against `master` branch. :)
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BTW, I chose the most official one, `Sam Davarnia `.
But, it seems that your GitHub is not happy with that. Next time, you had
better be consistent in your commit message.
```
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Merging to master.
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@gengliangwang is right; there are still things that need to be done when
the UI is disabled; job, stage and executor info are all still exposed even if
the UI is disabled, and the task even
Github user peter-toth commented on the issue:
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Thanks @viirya, your analysis is correct.
Unfortunately an attribute doesn't have a reference to its dataset so I
don't think this scenario can be solved easily. I believe the good
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Great, @gatorsmile ! Could you update Spark website properly, too?
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@squito
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LGTM
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arrow_return_type =
Github user BryanCutler commented on the issue:
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Thanks for looking into this @viirya ! I agree that there are lots of
cases where casting to another type is intentional and works fine, so this
isn't a bug. The only other idea I have is to
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Thanks! Merged to master.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/22524
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