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Github user viirya commented on the issue:
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we don't need accurate number. we can have a confident margin.
the bad with broken rdd chain is re-processing the rows. anything else?
I don't think it is worth changing core and
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Github user xuanyuanking commented on the issue:
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@mallman Thanks for let me know. I'll try your patch and check #14957 take
over or not.
I also think we need getting feedback from @liancheng , from our last
discussion, liancheng may do
Github user scwf commented on the issue:
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For 1, my idea is not use the proposal in this PR,
1. how you determine `total rows in all partitions are (much) more than
limit number.` and then go into this code path and how to decide the
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Github user discipleforteen commented on the issue:
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ok. i will try to update code gen and MathFunctionsSuite.scala
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Github user viirya commented on the issue:
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Ok. I think it is clearer now. We have two cases needed to solve:
1. After local limit, total rows in all partitions are (much) more than
limit number.
2. After local limit, total rows
Github user gatorsmile commented on the issue:
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ping @cloud-fan
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Github user gatorsmile commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveSessionState.scala ---
@@ -62,15 +62,17 @@ private[hive] class
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Github user gatorsmile commented on the issue:
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LGTM waiting for tests
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Github user gatorsmile commented on the issue:
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I also understand the concern of @yhuai . But, when the number of rules in
a single batch keeps growing, using a single condition `resolved` is a little
bit hard to maintain the order of rules
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also ping @hvanhovell
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Can one of the admins verify this patch?
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GitHub user sharkdtu opened a pull request:
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[SPARK-19298][Core] History server can't match MalformedInputException and
prompt the detail logs while repalying eventlog
History server can't match MalformedInputException and prompt the detail
Github user sarutak commented on the issue:
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I understand. if there are no additional comments from anyone by tomorrow,
I'll merge this.
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Github user maropu commented on the issue:
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okay, I'll update this pr in that way, thanks!
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Github user vanzin commented on the issue:
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> I think it is because ResourceManager's web proxy might not handle https
properly.
Yeah, that's a known issue with enabling SSL for the web UI on YARN with
self-signed certificates.
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all partitions after local limit are about/nearly 100,000,000 rows
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Github user viirya commented on the issue:
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Do you mean totally rows in all partitions after local limit are
about/nearly 100,000,000 rows? Or each partition after local limit has
about/nearly 100,000,000 rows?
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Github user sarutak commented on the issue:
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@vanzin I'm looking into this change and it works well on standalone-mode
but doesn't on yarn-mode.
I think it is because ResourceManager's web proxy might not handle https
properly.
It
Github user scwf commented on the issue:
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Again, to clean, I am against the performance regression in flowing case
0. limit num is 100,000,000
1. the original table rows is very big, much larger than 100,000,000 rows
2. after
Github user viirya commented on the issue:
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That is why I propose to avoid shuffling to single partition. We can save
shuffling and keep parallelism. So I don't know what you are against?
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I think shuffle is ok, but shuffle to one partition leads to the
performance issue.
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@scwf So sounds like it is the problem of shuffling.
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Assume local limit output 100,000,000 rows, then in global limit it will
be take in a single partition, so it is very slow and can not use other free
cores to improve the parallelism.
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Github user cloud-fan commented on the issue:
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Actually this PR was not backported to 2.1, now I've backported.
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@scwf I am not sure if you really think about this. Can you describe the
single partition issue based on your understanding?
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@viirya my team member post the mail list, actually we mean the case i
listed above, the main issue is the single partition issue in global limit,
if in that case you fall back to old global limit
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Can one of the admins verify this patch?
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[SPARK-16554][CORE] Automatically Kill Executors and Nodes when they are
Blacklisted
## What changes were proposed in this pull request?
In SPARK-8425, we introduced a mechanism for
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@yhuai yes we can use conditions and put them in `resolved` to control when
the rules will fire, but another problem is checking and normalization, it's
hard to detect if it's done and we will do
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SGTM
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@actuaryzhang This test failure is caused by Jenkins was not stable, you
just need to retest if you encounter similar issue.
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Jenkins, retest this please.
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Github user rxin commented on the issue:
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Also I think we need to update the code gen path as well.
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Can you add a test?
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LGTM, except two comments.
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Github user viirya commented on the issue:
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That case only happens when the all row counts in all partitions are less
than or (nearly) equal to the limit number. So it needs to scan (almost) all
partitions.
One possible way to deal
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Merged build finished. Test FAILed.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/16566
**[Test build #71675 has
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