Takuya Ueshin created SPARK-21745:
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Summary: Refactor ColumnVector hierarchy to make ColumnVector
read-only and to introduce MutableColumnVector.
Key: SPARK-21745
URL:
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Ross Brigoli commented on SPARK-21736:
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You're right file:/z:/works. But the issue is that
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Yanbo Liang reassigned SPARK-14516:
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Assignee: Marco Gaido
> Clustering evaluator
>
>
>
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Yanbo Liang updated SPARK-14516:
Shepherd: Yanbo Liang
Affects Version/s: 2.2.0
> Clustering evaluator
>
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zhoukang updated SPARK-21744:
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Description:
When driver submit new stage and there is a bad disk before spark,then driver
may will
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Liang-Chi Hsieh commented on SPARK-21726:
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Submitted a PR at
zhoukang created SPARK-21744:
Summary: Add retry logic when create new broadcast
Key: SPARK-21744
URL: https://issues.apache.org/jira/browse/SPARK-21744
Project: Spark
Issue Type: Improvement
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Gaurav Shah commented on SPARK-4502:
[~marmbrus] Do you have some time to review this pull request ?
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Tejas Patil commented on SPARK-19256:
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PR for writer side changes is out :
Wenchen Fan created SPARK-21743:
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Summary: top-most limit should not cause memory leak
Key: SPARK-21743
URL: https://issues.apache.org/jira/browse/SPARK-21743
Project: Spark
Issue Type: Bug
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Nicholas Chammas commented on SPARK-17025:
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I'm still interested in this but I won't be able to
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Feng Zhu commented on SPARK-21739:
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In such case, the Cast expression is evaluated directly without
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zhengruifeng updated SPARK-21742:
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Summary: BisectingKMeans generate different models with/without caching
(was: BisectingKMeans
zhengruifeng created SPARK-21742:
Summary: BisectingKMeans generate different results with/without
caching
Key: SPARK-21742
URL: https://issues.apache.org/jira/browse/SPARK-21742
Project: Spark
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Takeshi Yamamuro commented on SPARK-18394:
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Any update? I checked and I found the master still
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Liang-Chi Hsieh commented on SPARK-21657:
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[~maropu] I've noticed that change. There is a hotfix
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Fan Donglai updated SPARK-21716:
Description: I can't use GroupBy + Window operator to get the newest(the
maximum event time) row
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Weichen Xu commented on SPARK-21741:
OK I will work on this.
I will post a design doc first.
>
Yanbo Liang created SPARK-21741:
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Summary: Python API for DataFrame-based multivariate summarizer
Key: SPARK-21741
URL: https://issues.apache.org/jira/browse/SPARK-21741
Project: Spark
Issue
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Yanbo Liang commented on SPARK-21741:
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[~WeichenXu123] Would you like to work on this? Thanks.
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Yanbo Liang resolved SPARK-19634.
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Resolution: Fixed
Fix Version/s: 2.3.0
> Feature parity for descriptive statistics in
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Hyukjin Kwon reassigned SPARK-21712:
Assignee: Nicholas Chammas
> Clarify PySpark Column.substr() type checking error message
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Hyukjin Kwon resolved SPARK-21712.
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Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18926
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Joseph K. Bradley updated SPARK-21681:
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Shepherd: Joseph K. Bradley
> MLOR do not work correctly when featureStd contains zero
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Joseph K. Bradley updated SPARK-21681:
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Affects Version/s: 2.3.0
> MLOR do not work correctly when featureStd contains zero
>
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Joseph K. Bradley updated SPARK-21681:
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Target Version/s: 2.2.1, 2.3.0
> MLOR do not work correctly when featureStd contains
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Joseph K. Bradley reassigned SPARK-21681:
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Assignee: Weichen Xu
> MLOR do not work correctly when featureStd contains zero
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Thomas Graves commented on SPARK-20589:
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Note that this type of option is also already supported in
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Amit Kumar commented on SPARK-20589:
[~imranr] Like you said, we could restrict the number of
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Imran Rashid commented on SPARK-20589:
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couldn't you just limit the number of executors of your
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Marcelo Vanzin resolved SPARK-21731.
Resolution: Fixed
Assignee: Marcelo Vanzin
Fix Version/s: 2.3.0
Paul Wu created SPARK-21740:
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Summary: DataFrame.write does not work with Phoenix JDBC Driver
Key: SPARK-21740
URL: https://issues.apache.org/jira/browse/SPARK-21740
Project: Spark
Issue Type: Bug
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Marcelo Vanzin resolved SPARK-17742.
Resolution: Fixed
Fix Version/s: 2.3.0
https://github.com/apache/spark/pull/18877
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poplav edited comment on SPARK-21720 at 8/15/17 6:10 PM:
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[~kiszk] So, to clarify
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poplav edited comment on SPARK-21720 at 8/15/17 6:10 PM:
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[~kiszk] So, to clarify
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poplav commented on SPARK-21720:
So, to clarify did the fix simply bump up the number of fields before we
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Xiao Li commented on SPARK-21738:
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https://github.com/apache/spark/pull/18951
> Thriftserver doesn't
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Ruslan Dautkhanov edited comment on SPARK-21657 at 8/15/17 4:59 PM:
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Ruslan Dautkhanov commented on SPARK-21657:
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Thank you [~maropu] and [~viirya], that commit is
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Kazuaki Ishizaki edited comment on SPARK-21720 at 8/15/17 4:26 PM:
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In
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Kazuaki Ishizaki commented on SPARK-21720:
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In this case, to add JVM option {{-Xss512m}}
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Abhijit Bhole resolved SPARK-21034.
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Resolution: Duplicate
> Allow filter pushdown filters through non deterministic functions
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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Abhijit Bhole commented on SPARK-21034:
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Thank you !!
> Allow filter pushdown filters through non
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Description:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select
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wangzhihao updated SPARK-21739:
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Docs Text: (was: The spark v2.2.0 introduce TimeZoneAwareExpression,
which causes bugs if we
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wangzhihao updated SPARK-21739:
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Docs Text:
The spark v2.2.0 introduce TimeZoneAwareExpression, which causes bugs if we
select data
wangzhihao created SPARK-21739:
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Summary: timestamp partition would fail in v2.2.0
Key: SPARK-21739
URL: https://issues.apache.org/jira/browse/SPARK-21739
Project: Spark
Issue Type: Bug
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Xiao Li resolved SPARK-21721.
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Resolution: Fixed
Assignee: Liang-Chi Hsieh
Fix Version/s: 2.3.0
2.2.1
Marco Gaido created SPARK-21738:
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Summary: Thriftserver doesn't cancel jobs when session is closed
Key: SPARK-21738
URL: https://issues.apache.org/jira/browse/SPARK-21738
Project: Spark
Issue
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Hyukjin Kwon commented on SPARK-19019:
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I think this was backported into Spark 2.1.1. Was your Spark
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Mathias M. Andersen commented on SPARK-19019:
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Just got this error post fix on spark 2.1:
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Mathias M. Andersen edited comment on SPARK-19019 at 8/15/17 2:51 PM:
Jong Yoon Lee created SPARK-21737:
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Summary: Create communication channel between arbitrary clients
and the Spark AM in YARN mode
Key: SPARK-21737
URL: https://issues.apache.org/jira/browse/SPARK-21737
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Sean Owen resolved SPARK-21736.
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Resolution: Not A Problem
> Spark 2.2 in Windows does not recognize the URI
>
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Ross Brigoli updated SPARK-21736:
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Description:
We are currently running Spark 2.1 in Windows Server 2012 in Production. While
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Sean Owen commented on SPARK-21736:
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This isn't related to Spark though. The value, property are
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Ross Brigoli updated SPARK-21736:
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Description:
We are currently running Spark 2.1 in Windows Server 2012 in Production. While
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Liang-Chi Hsieh commented on SPARK-21726:
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[~rxin] Thanks for pinging me! Yes, I'm interested in
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Sean Owen resolved SPARK-21734.
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Resolution: Invalid
Not sure what you mean, but this should start maybe as a question on the
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Thomas Graves commented on SPARK-21714:
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I haven't had time to get to it, so it would be great if
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Cheng jin commented on SPARK-21734:
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we met this problem, in fact , it is like this:
{code:java}
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Saisai Shao commented on SPARK-21714:
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Let me take a crack on this if no one is working on it.
>
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Sean Owen commented on SPARK-21736:
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Hm, isn't it {{file:///z:/...}}? not sure if that makes a
Ross Brigoli created SPARK-21736:
Summary: Spark 2.2 in Windows does not recognize the URI
file:/z:/sparklogs from spark-defaults.conf
Key: SPARK-21736
URL: https://issues.apache.org/jira/browse/SPARK-21736
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Sean Owen resolved SPARK-21704.
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Resolution: Not A Problem
> Add the description of 'sbin/stop-slave.sh' in spark-standalone.html.
>
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Sean Owen updated SPARK-21734:
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Flags: (was: Patch)
Target Version/s: (was: 2.2.0)
Labels: (was:
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Sean Owen resolved SPARK-21735.
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Resolution: Duplicate
Target Version/s: (was: 2.2.0)
> spark job blocked by
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Steve Loughran commented on SPARK-21702:
ps, you shouldn't need to set the s3a.impl field; that's
Cheng jin created SPARK-21735:
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Summary: spark job blocked by updateDependencies
Key: SPARK-21735
URL: https://issues.apache.org/jira/browse/SPARK-21735
Project: Spark
Issue Type: Bug
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Steve Loughran commented on SPARK-21702:
This is interesting. What may be happening is that
Cheng jin created SPARK-21734:
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Summary: spark job blocked by updateDependencies
Key: SPARK-21734
URL: https://issues.apache.org/jira/browse/SPARK-21734
Project: Spark
Issue Type: Bug
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Weichen Xu updated SPARK-21681:
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Description:
MLOR do not work correctly when featureStd contains zero.
We can reproduce the bug
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Jepson commented on SPARK-21733:
[~sowen], thank you for correcting me, I will notice it at the next
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Sean Owen resolved SPARK-21733.
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Resolution: Not A Problem
Fix Version/s: (was: 2.1.1)
It wasn't "Fixed"; there was no
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Sean Owen reopened SPARK-21733:
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> ERROR executor.CoarseGrainedExecutorBackend: RECEIVED SIGNAL TERM
>
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Saisai Shao commented on SPARK-21733:
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Should the resolution of this JIRA be "invalid" or else?
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Jepson resolved SPARK-21733.
Resolution: Fixed
Fix Version/s: 2.1.1
> ERROR executor.CoarseGrainedExecutorBackend: RECEIVED
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Jepson commented on SPARK-21733:
I have resolve this issue.Thanks for [~jerryshao] and [~srowen]
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Sean Owen updated SPARK-21733:
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Shepherd: (was: -)
Flags: (was: Patch,Important)
Labels: (was: patch)
Yes, this
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Jan Vršovský updated SPARK-21723:
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Description:
Writing a dataset to LibSVM format raises an exception
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https://issues.apache.org/jira/browse/SPARK-21723?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126939#comment-16126939
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Nick Pentreath commented on SPARK-21723:
Yes, we should definitely be able to write LibSVM format
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https://issues.apache.org/jira/browse/SPARK-21723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jan Vršovský updated SPARK-21723:
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Description:
Writing a dataset to LibSVM format raises an exception
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https://issues.apache.org/jira/browse/SPARK-21691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126947#comment-16126947
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Bjoern Toldbod commented on SPARK-21691:
The suggested solution works for me.
Thanks
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https://issues.apache.org/jira/browse/SPARK-21652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126917#comment-16126917
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Takeshi Yamamuro edited comment on SPARK-21652 at 8/15/17 8:08 AM:
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https://issues.apache.org/jira/browse/SPARK-21363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126847#comment-16126847
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Takeshi Yamamuro edited comment on SPARK-21363 at 8/15/17 8:08 AM:
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https://issues.apache.org/jira/browse/SPARK-21652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126917#comment-16126917
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Takeshi Yamamuro commented on SPARK-21652:
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The pr is:
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https://issues.apache.org/jira/browse/SPARK-21481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126914#comment-16126914
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Yanbo Liang commented on SPARK-21481:
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See my comments at https://github.com/apache/spark/pull/18736
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https://issues.apache.org/jira/browse/SPARK-21034?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126902#comment-16126902
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Takeshi Yamamuro commented on SPARK-21034:
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It seems this is duplicate of SPARK-21707. If so, we
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https://issues.apache.org/jira/browse/SPARK-21733?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126894#comment-16126894
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Saisai Shao commented on SPARK-21733:
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Is there any issue here?
> ERROR
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https://issues.apache.org/jira/browse/SPARK-21657?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126877#comment-16126877
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Takeshi Yamamuro commented on SPARK-21657:
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[~viirya] Probably, this is what you want?
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https://issues.apache.org/jira/browse/SPARK-21363?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiao Li updated SPARK-21363:
Target Version/s: 3.0.0
> Prevent column name duplication in temporary view
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https://issues.apache.org/jira/browse/SPARK-21363?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126869#comment-16126869
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Xiao Li commented on SPARK-21363:
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We need to revisit whether we should support duplicate column names in
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https://issues.apache.org/jira/browse/SPARK-21732?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16126866#comment-16126866
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Xiao Li commented on SPARK-21732:
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https://github.com/apache/spark/pull/18944
> Lazily init hive
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