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Github user dongjoon-hyun commented on the issue:
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Thank you! Although `master` becomes
[3.0.0](https://github.com/apache/spark/pull/22606) already and seems to start
to target `Mar 2019`, I agree with you on reverting for rechecking, @mengxr
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ok to test
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Looks ok to me based on discussion in the bug. Will leave here to see if
others have any comments.
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@cloud-fan said above the next version is very likely to be 2.5.0 instead
of 3.0. Well the next version number is not fully discussed yet. For that
reason, I think we should revert the changes in
Github user dongjoon-hyun commented on the issue:
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May I ask a question, @mengxr ? The master becomes 3.0 today by @gatorsmile
's PR and I saw the following your comment here.
> We can keep it in master if the next release is 3.0.
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@WeichenXu123 @cloud-fan I made https://github.com/apache/spark/pull/22618
to revert the change in master.
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[SPARK-25321][ML] Revert SPARK-14681 to avoid API breaking change
## What changes were proposed in this pull request?
This is the same as #22492 but for master branch. Revert SPARK-14681 to
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[SPARK-25484][TEST] Refactor ExternalAppendOnlyUnsafeRowArrayBenchmark
## What changes were proposed in this pull request?
1. Refactor ExternalAppendOnlyUnsafeRowArrayBenchmark
2.
Github user squito commented on the issue:
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lgtm
will leave for a day before mergning
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@holdenk @jkbradley ping... could you please take a look at this PR? Thank
you!
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OK, this PR should be closed then.
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--- Diff: docs/building-spark.md ---
@@ -49,25 +49,20 @@ To create a Spark distribution like those distributed
by the
to be runnable, use
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@HyukjinKwon Please, take a look at the PR.
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I will close the PR and document in our tests to use spark.ui.retainedTasks
= 1 (or some very low value) : which will, in effect, be equivalent to this PR
- and loose information anyway; but will
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Is there anything which blocks the PR for now?
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Could you take a look at the PR one more time, please.
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> I tried that a lot while writing this code, but the disk store is just
too slow
That is unfortunate ... I was actually hoping that would be a good
compromise if expanded api
Github user Dooyoung-Hwang commented on the issue:
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Thank you for review.
Yes, ThriftServer will use intermediate "collection view" in this PR.
And [Original PR of
ThriftServer](https://github.com/apache/spark/pull/22219) will be
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+/*
+ * Licensed to
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@@ -560,25 +553,56 @@ private[kafka010]
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+/*
+ *
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I restructured the code in this commit to allow easier addition of
array/list support in the future.
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Task events still might need to be processed - even for live applications
with the UI disabled. See the API that has been mentioned before
(`SparkStatusTracker`) for why. Processing task events is
Github user dongjoon-hyun commented on the issue:
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Thank you for your first contribution, @Dooyoung-Hwang ! So, this is a
spin-off PR from STS?
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -1100,13 +1101,23 @@ object SQLContext {
attrs:
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Retest this please.
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@vanzin any reason why liveStore is hardcoded to be in-memory ? Any
implications of making it disk backed ? That might be another option to unblock
- requires a config change to existing
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@vanzin , @gengliangwang To clarify earlier behavior - if UI is disabled,
any task related metrics were reported as zero: granularity of update was at
the stage level.
UI is typically disabled
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+/*
+ *
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@srowen @yanboliang
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Github user ankuriitg commented on the issue:
https://github.com/apache/spark/pull/22604
I have opened another PR for this, with the recommended changes:
https://github.com/apache/spark/pull/22616
I had to change a few other logDebug statements as well. Please let me know
if
GitHub user ankuriitg opened a pull request:
https://github.com/apache/spark/pull/22616
[SPARK-25586][Core] Remove logdebug statement for outer objects from
ClosureCleaner
## What changes were proposed in this pull request?
Cause: Recently test_glr_summary failed
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