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Github user vanzin commented on the issue:
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I like the functionality, not necessarily the implementation. Other configs
would benefit from this, and having this functionality more easily available
without having to change the call sites would
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retest this please.
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Github user huaxingao commented on the issue:
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Sorry for not working on this earlier. Just came back from China yesterday
morning.
Not sure if 2.3 RC4 has already get cut. If this still needs to be merged
in 2.3, please let me know and I
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LGTM, but the title should say `[core]` (not spark-shell).
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Thanks! Merging to master and 2.3.
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LGTM pending tests.
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Merging to master and 2.3
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Github user tdas commented on the issue:
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This is a slightly invasive change in the engine, hence I was not planning
to backport.
Also, I realized after this PR that self-joins mostly actually work except
in few corner cases which I
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@mgaido91 Spark 2.2 doesn't show skipped stages either. I think this is
fine since most of people don't care about them. I posted the root cause and
fixed in
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[SPARK-23475][WebUI]Skipped stages should be evicted before completed stages
## What changes were proposed in this pull request?
The root cause of missing completed stages is because
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Yeah, this seems risky at RC5.
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LGTM
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LGTM
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ok to test
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retest this please.
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@zsxwing thanks for finding this.
@jose-torres PTAL.
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[SPARK-23484][SS] Fix possible race condition in KafkaContinuousReader
## What changes were proposed in this pull request?
var `KafkaContinuousReader.knownPartitions` should be threadsafe as
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Github user justinrmiller commented on the issue:
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Otherwise the job crashes, even for gaps of one or two messages on a couple
of partitions (and while fail hard is a good philosophy, in this case it's not
really practical for us) so it's
Github user jose-torres commented on the issue:
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I'm not sure I agree with all the comments on the previous PR, but I agree
that this also works.
As discussed, the downside to this approach is that people in the future
can continue
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LGTM
merging with branch-2.2
Thanks @zhengruifeng !
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Github user IgorBerman commented on the issue:
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@squito, @susanxhuynh no worries, I have my internal patch.
As a side note, I'm starting to think that my first proposition of
introducing new config that will just override this
Github user tdas commented on the issue:
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Unfortunately, we havent figured out any good to avoid that for
MicroBatchExecution till now. The streaming thread is doing a whole lot of
different things, and interrupting is the only reliable way
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@zsxwing can you also take a look?
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@marmbrus Thanks! Fixed the title.
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> Using a thread interrupt to kill the stream appears to be a fundamentally
fragile solution, requiring us to maintain a whitelist of exceptions we think
Spark execution might surface in response
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[SPARK-23459][SQL] Improve the error message when unknown column is
specified in partition columns
## What changes were proposed in this pull request?
This PR avoids to print schema
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}
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ok to test
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--- Diff: core/src/main/scala/org/apache/spark/ui/jobs/AllStagesPage.scala
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Github user jose-torres commented on the issue:
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The alternate solution doesn't solve the problem SPARK-23441 sets out to
address. Using a thread interrupt to kill the spark job is a fundamentally
fragile solution, requiring us to maintain a
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