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Apache Spark commented on SPARK-17211:
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User 'davies' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16922?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15456597#comment-15456597
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Apache Spark commented on SPARK-16922:
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User 'davies' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-16926.
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull
Chris Sanjiv Xavier created SPARK-17366:
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Summary: Temp tables cached in spark - Joins performance
Key: SPARK-17366
URL: https://issues.apache.org/jira/browse/SPARK-17366
Project: Spark
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Sital Kedia commented on SPARK-16922:
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Thanks for the fix [~davies]. I will test this change with our
Jakob Odersky created SPARK-17367:
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Summary: Cannot define value classes in REPL
Key: SPARK-17367
URL: https://issues.apache.org/jira/browse/SPARK-17367
Project: Spark
Issue Type: Bug
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gurmukh singh commented on SPARK-17211:
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Thanks Davies.
Can see the issue with the offsets:
***
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Josh Rosen resolved SPARK-17263.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14832
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Apache Spark reassigned SPARK-17299:
Assignee: (was: Apache Spark)
> TRIM/LTRIM/RTRIM strips characters other than spaces
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Apache Spark commented on SPARK-17299:
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User 'techaddict' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-11138?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Marcelo Vanzin resolved SPARK-11138.
Resolution: Cannot Reproduce
Haven't seen this in a long while, let's close it for now.
>
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Davies Liu commented on SPARK-16922:
[~sitalke...@gmail.com] I think I found the cause and fix it,
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Davies Liu reassigned SPARK-17211:
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Assignee: Davies Liu
> Broadcast join produces incorrect results on EMR with large driver
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Josh Rosen updated SPARK-16461:
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Component/s: SQL
> Support partition batch pruning with `<=>` (EqualNullSafe) predicate in
>
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Josh Rosen updated SPARK-16461:
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Assignee: Hyukjin Kwon
> Support partition batch pruning with `<=>` (EqualNullSafe) predicate in
>
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Josh Rosen resolved SPARK-16461.
Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14117
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Davies Liu reassigned SPARK-16922:
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Assignee: Davies Liu
> Query with Broadcast Hash join fails due to executor OOM in Spark 2.0
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Josh Rosen updated SPARK-16732:
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Fix Version/s: (was: 2.0.1)
> Remove unused codes in
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Herman van Hovell commented on SPARK-17366:
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[~chris_sanjiv] Is this a question or a bug
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gurmukh singh edited comment on SPARK-17211 at 9/1/16 10:52 PM:
Thanks
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Sean Zhong updated SPARK-17356:
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Description:
When using MLLib, when calling toJSON on a plan with many level of sub-queries,
it may
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Sebastian Herold commented on SPARK-16334:
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Sorry for the late response. We noticed the error on
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Sean Zhong commented on SPARK-17356:
Reproducer:
{code}
# Trigger OOM
scala> :paste -raw
// Entering
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Apache Spark commented on SPARK-17358:
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User 'watermen' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17336?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15454745#comment-15454745
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Sean Owen commented on SPARK-17336:
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[~axu4apache] I assume you modified the scripts to print
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Sean Owen resolved SPARK-17262.
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Resolution: Not A Problem
> Spark SizeEstimator does not ignore transient fields in java classes
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Xiao Li commented on SPARK-16402:
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: ) Let me ping them. You still can bypass it, right?
> JDBC source:
Yadong Qi created SPARK-17358:
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Summary: Cached table(parquet/orc) should be shard between beelines
Key: SPARK-17358
URL: https://issues.apache.org/jira/browse/SPARK-17358
Project: Spark
Issue
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Apache Spark reassigned SPARK-17359:
Assignee: Apache Spark
> Use +=(A) instead of append(A) in performance critical paths
>
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Apache Spark commented on SPARK-17359:
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User 'lw-lin' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17359:
Assignee: (was: Apache Spark)
> Use +=(A) instead of append(A) in performance
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Wenchen Fan resolved SPARK-17257.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14823
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Matthias Egli commented on SPARK-15920:
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[~srowen] Why was this ticket closed? The documentation of
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Piotr Milanowski commented on SPARK-15920:
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That is why I used PySpark in components. This
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Arihanth Jain commented on SPARK-13525:
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Sorry, I am not sure on how to achieve this. I could only
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Sean Owen updated SPARK-7445:
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Comment: was deleted
(was: Yuhao on business trip from Aug 31th to Sep 2nd. Email response will be
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Wenchen Fan updated SPARK-16283:
Assignee: Sean Zhong
> Implement percentile_approx SQL function
>
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Sean Zhong updated SPARK-17356:
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Attachment: queryplan.txt
> Out of memory when calling TreeNode.toJSON
>
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Liang-Chi Hsieh updated SPARK-17357:
Summary: Simplified predicates should be able to pushdown through operators
because of the
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Sean Zhong commented on SPARK-17356:
Root cause:
1. MLLib heavily leverage MetaData to store a lot
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Sean Zhong edited comment on SPARK-17356 at 9/1/16 6:38 AM:
*Root cause:*
1.
Liang-Chi Hsieh created SPARK-17357:
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Summary: Simplified predicates should be able to pushdown through
operators
Key: SPARK-17357
URL: https://issues.apache.org/jira/browse/SPARK-17357
Project:
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Liang-Chi Hsieh updated SPARK-17357:
Summary: Simplified predicates can't be pushed down through operators
because of the rule
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Sean Owen resolved SPARK-17329.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14892
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Sean Zhong updated SPARK-17356:
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Attachment: jmap.txt
> Out of memory when calling TreeNode.toJSON
>
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Sean Zhong commented on SPARK-17356:
*Analysis*
After looking at the mmap, there is a suspicious
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Apache Spark commented on SPARK-17357:
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User 'viirya' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17357:
Assignee: (was: Apache Spark)
> Simplified predicates can't be pushed down through
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Apache Spark reassigned SPARK-17357:
Assignee: Apache Spark
> Simplified predicates can't be pushed down through operators
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Sean Owen updated SPARK-17347:
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Priority: Trivial (was: Minor)
Issue Type: Improvement (was: Bug)
>From the PR it doesn't
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Apache Spark reassigned SPARK-17358:
Assignee: (was: Apache Spark)
> Cached table(parquet/orc) should be shard between
Liwei Lin created SPARK-17359:
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Summary: Use +=(A) instead of append(A) in performance critical
paths
Key: SPARK-17359
URL: https://issues.apache.org/jira/browse/SPARK-17359
Project: Spark
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Apache Spark reassigned SPARK-17358:
Assignee: Apache Spark
> Cached table(parquet/orc) should be shard between beelines
>
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Sean Owen updated SPARK-15920:
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Priority: Minor (was: Major)
Component/s: Documentation
Summary: Fix incorrect
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Sean Owen reopened SPARK-15920:
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Yeah let's reopen this to make it about correcting the docs. I see in the link
above that {{teenagers =
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Wenchen Fan resolved SPARK-16283.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14868
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Wenchen Fan resolved SPARK-17353.
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Resolution: Fixed
Fix Version/s: 2.1.0
Target Version/s: 2.0.1, 2.1.0
> CREATE
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Aseem Bansal commented on SPARK-17307:
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I would add that bit of information at
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Sean Zhong updated SPARK-17356:
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Attachment: jstack.txt
> Out of memory when calling TreeNode.toJSON
>
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Sean Owen commented on SPARK-15920:
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It was closed because it's a question, and that should go on the
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Saisai Shao commented on SPARK-17340:
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I think in your scenario, it is because you killed local
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Wenchen Fan resolved SPARK-16942.
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Resolution: Fixed
Assignee: Xiao Li
Fix Version/s: 2.1.0
Target
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Wenchen Fan updated SPARK-17353:
Assignee: Xiao Li
> CREATE TABLE LIKE statements when Source is a VIEW
>
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Wenchen Fan resolved SPARK-16943.
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Resolution: Fixed
Assignee: Xiao Li
Fix Version/s: 2.1.0
Target
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Shixiong Zhu resolved SPARK-17318.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
> Fix flaky test:
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Apache Spark commented on SPARK-17365:
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User 'dhruve' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17365:
Assignee: (was: Apache Spark)
> Kill multiple executors together to reduce lock
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Maciej Bryński updated SPARK-17309:
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Fix Version/s: (was: 2.01)
2.0.1
> ALTER VIEW should throw exception
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Apache Spark reassigned SPARK-17365:
Assignee: Apache Spark
> Kill multiple executors together to reduce lock contention
>
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Michael Gummelt updated SPARK-17067:
Description: Blocked by https://issues.apache.org/jira/browse/MESOS-4392
> Revocable
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Sean Owen resolved SPARK-17362.
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Resolution: Duplicate
> fix MultivariantOnlineSummerizer.numNonZeros
>
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Yin Huai updated SPARK-17356:
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Target Version/s: 2.0.0, 1.6.3, 2.1.0 (was: 2.0.0, 2.1.0)
> A large Metadata filed in Alias can cause
Egor Pahomov created SPARK-17364:
Summary: Can not query hive table starting with number
Key: SPARK-17364
URL: https://issues.apache.org/jira/browse/SPARK-17364
Project: Spark
Issue Type:
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Michael Gummelt closed SPARK-5197.
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Resolution: Won't Fix
fine-grained is deprecated
> Support external shuffle service in
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Apache Spark commented on SPARK-16533:
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User 'vanzin' has created a pull request for this issue:
Dhruve Ashar created SPARK-17365:
Summary: Kill multiple executors together to reduce lock contention
Key: SPARK-17365
URL: https://issues.apache.org/jira/browse/SPARK-17365
Project: Spark
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Michael Gummelt closed SPARK-6679.
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Resolution: Won't Fix
fine-grained is deprecated
> java.lang.ClassNotFoundException on Mesos
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Michael Gummelt closed SPARK-11183.
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Resolution: Done
> enable support for mesos 0.24+
> --
>
>
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Josh Rosen resolved SPARK-17331.
Resolution: Fixed
Fix Version/s: 2.1.0
> Avoid allocating 0-length arrays
>
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Apache Spark reassigned SPARK-17299:
Assignee: Apache Spark
> TRIM/LTRIM/RTRIM strips characters other than spaces
>
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Apache Spark reassigned SPARK-17340:
Assignee: Apache Spark
> .sparkStaging not cleaned if application exited incorrectly
>
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Apache Spark commented on SPARK-17340:
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User 'Devian-ua' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-17340?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15455055#comment-15455055
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Saisai Shao commented on SPARK-17340:
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I'm saying yarn cluster mode, I think here in my comment
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Apache Spark reassigned SPARK-17142:
Assignee: Apache Spark
> Complex query triggers binding error in HashAggregateExec
>
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Apache Spark reassigned SPARK-17142:
Assignee: (was: Apache Spark)
> Complex query triggers binding error in
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Apache Spark commented on SPARK-17142:
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User 'jiangxb1987' has created a pull request for this
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Artur Sukhenko commented on SPARK-17340:
Yes, I can.
However some users will stop app like this
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Saisai Shao commented on SPARK-17340:
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You can try not kill local {{yarn#client}} process after
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Artur Sukhenko commented on SPARK-17340:
Oh, now I get this.
However, if you stop it in
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https://issues.apache.org/jira/browse/SPARK-13301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15455112#comment-15455112
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Tom Phillips commented on SPARK-13301:
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I'm unable to reproduce this bug using the code above on 1.5
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https://issues.apache.org/jira/browse/SPARK-17356?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-17356:
Assignee: (was: Apache Spark)
> Out of memory when calling TreeNode.toJSON
>
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Apache Spark commented on SPARK-17356:
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User 'clockfly' has created a pull request for this issue:
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Apache Spark reassigned SPARK-17356:
Assignee: Apache Spark
> Out of memory when calling TreeNode.toJSON
>
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Artur Sukhenko commented on SPARK-17340:
With yarn-client it will be cleaned up.
I am talking
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https://issues.apache.org/jira/browse/SPARK-17142?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15454837#comment-15454837
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Jiang Xingbo edited comment on SPARK-17142 at 9/1/16 9:07 AM:
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In
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Jiang Xingbo edited comment on SPARK-17142 at 9/1/16 9:07 AM:
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In
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Jiang Xingbo commented on SPARK-17142:
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In `ReorderAssociativeOperator` rule, we extract foldable
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Saisai Shao commented on SPARK-17340:
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yarn-client and yarn-cluster has different way to handle
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Apache Spark reassigned SPARK-17340:
Assignee: (was: Apache Spark)
> .sparkStaging not cleaned if application exited
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Saisai Shao edited comment on SPARK-17340 at 9/1/16 11:02 AM:
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I think in
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