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Miao Wang commented on SPARK-15449:
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[~srowen] Scala example also uses
Gurvinder created SPARK-15487:
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Summary: Spark Master UI to reverse proxy Application and Workers
UI
Key: SPARK-15487
URL: https://issues.apache.org/jira/browse/SPARK-15487
Project: Spark
Issue
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Doug Balog commented on SPARK-15477:
Sorry, this isn't a problem after all.
I checked the the latest
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Dawson Choong commented on SPARK-15368:
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Thank you for the suggestions. [~jerryshao] may I ask if
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Sean Owen commented on SPARK-15477:
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The constructor there is, but not the class
> HiveContext is
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Michael Armbrust commented on SPARK-15140:
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I don't think you should ever get a null row back.
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Andrew Or updated SPARK-15397:
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Summary: 'locate' UDF got different result with boundary value case
compared to Hive engine (was:
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Andrew Or updated SPARK-15397:
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Assignee: Adrian Wang
> 'locate' UDF got different result with boundary value case compared to Hive
>
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Michael Armbrust resolved SPARK-15471.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13250
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Andrew Or resolved SPARK-15477.
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Resolution: Not A Bug
> HiveContext is private[hive] and not accessible to users.
>
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Apache Spark commented on SPARK-9044:
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User 'lgieron' has created a pull request for this issue:
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Andrew Or commented on SPARK-15477:
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What part of the code makes you think it's private[hive]?
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Kazuaki Ishizaki commented on SPARK-15467:
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The following code can reproduce the same issue.
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Apache Spark reassigned SPARK-9044:
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Assignee: Apache Spark
> Updated RDD name does not reflect under "Storage" tab
>
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Apache Spark reassigned SPARK-9044:
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Assignee: (was: Apache Spark)
> Updated RDD name does not reflect under "Storage" tab
>
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Cheng Lian resolved SPARK-14031.
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13229
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Thomas Graves commented on SPARK-14331:
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that might be https://github.com/apache/spark/pull/13175.
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Davies Liu commented on SPARK-14946:
[~raymond.honderd...@sizmek.com] Thanks for the feedback, I'm
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Ryan Blue commented on SPARK-15455:
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Why can't Hive use a newer version of the Hadoop classes, if those
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Narine Kokhlikyan edited comment on SPARK-13525 at 5/23/16 4:48 PM:
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Narine Kokhlikyan commented on SPARK-13525:
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Hi guys, I'm afraid I'm seeing this issue on my
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Apache Spark reassigned SPARK-15485:
Assignee: (was: Apache Spark)
> Spark SQL Configuration
> ---
>
>
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Apache Spark reassigned SPARK-15485:
Assignee: Apache Spark
> Spark SQL Configuration
> ---
>
>
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Luca Bruno updated SPARK-15486:
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Description:
We're using spark commit db75ccb (not sure if that's unreleased 2.0.0 or 2.1.0).
We
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Luca Bruno updated SPARK-15486:
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Description:
We're using spark commit db75ccb (not sure if that's unreleased 2.0.0 or 2.1.0).
We
Luca Bruno created SPARK-15486:
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Summary: dropTempTable does not work with backticks
Key: SPARK-15486
URL: https://issues.apache.org/jira/browse/SPARK-15486
Project: Spark
Issue Type: Bug
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Luca Bruno updated SPARK-15486:
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Description:
We're using spark commit db75ccb (not sure if that's unreleased 2.0.0 or 2.1.0).
We
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Thomas Graves updated SPARK-14279:
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Assignee: (was: Sanket Reddy)
> Improve the spark build to pick the version information
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Luca Bruno updated SPARK-15486:
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Description:
We're using spark commit db75ccb (not sure if that's unreleased 2.0.0 or 2.1.0).
We
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Luca Bruno updated SPARK-15486:
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Description:
We're using spark commit db75ccb (not sure if that's unreleased 2.0.0 or 2.1.0).
We
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Apache Spark commented on SPARK-15485:
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User 'gatorsmile' has created a pull request for this issue:
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Sanket Reddy commented on SPARK-14279:
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@tgraves Please assign this issue to dhruve
> Improve the
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MikoĊaj Hnatiuk commented on SPARK-15294:
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Hi, ok, so I have this function defined:
{code}
# IN
Xiao Li created SPARK-15485:
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Summary: Spark SQL Configuration
Key: SPARK-15485
URL: https://issues.apache.org/jira/browse/SPARK-15485
Project: Spark
Issue Type: Documentation
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Doug Balog edited comment on SPARK-15477 at 5/23/16 4:04 PM:
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The
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Doug Balog commented on SPARK-15477:
The HiveCompatibility module was reverted in SPARK-15424
rxin
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Thomas Graves commented on SPARK-14331:
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Note I was running spark on yarn.
> Exceptions saving to
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Thomas Graves commented on SPARK-14331:
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I was trying to reproduce this to get you the rest but now
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Sean Owen resolved SPARK-14946.
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Resolution: Not A Problem
Fix Version/s: (was: 2.0.0)
Target Version/s: (was:
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Apache Spark reassigned SPARK-11959:
Assignee: Apache Spark (was: Yanbo Liang)
> Document normal equation solver for ordinary
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Apache Spark reassigned SPARK-11959:
Assignee: Yanbo Liang (was: Apache Spark)
> Document normal equation solver for ordinary
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Apache Spark reassigned SPARK-15484:
Assignee: Apache Spark
> Document Iteratively reweighted least squares (IRLS) in user
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Apache Spark commented on SPARK-11959:
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User 'yanboliang' has created a pull request for this issue:
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Apache Spark reassigned SPARK-15484:
Assignee: (was: Apache Spark)
> Document Iteratively reweighted least squares (IRLS)
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Apache Spark commented on SPARK-15484:
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User 'yanboliang' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-3828?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-3828.
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Resolution: Won't Fix
Defunct now that Hadoop 1 is not supported
> Spark returns inconsistent results
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Sean Owen reopened SPARK-14946:
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> Spark 2.0 vs 1.6.1 Query Time(out)
> --
>
> Key:
Yanbo Liang created SPARK-15484:
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Summary: Document Iteratively reweighted least squares (IRLS) in
user guide
Key: SPARK-15484
URL: https://issues.apache.org/jira/browse/SPARK-15484
Project: Spark
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lichenglin closed SPARK-15478.
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Resolution: Not A Problem
> LogisticRegressionModel coefficients() returns an empty vector
>
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lichenglin commented on SPARK-15478:
Sorry,I made a mistake with wrong example data
>
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Sean Owen updated SPARK-15478:
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Comment: was deleted
(was: Can you clarify what example you have modified, and what is in the file?
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Sean Owen commented on SPARK-15478:
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Can you clarify what example you have modified, and what is in the
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Biao Ma commented on SPARK-15477:
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Thx Owen
> HiveContext is private[hive] and not accessible to users.
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Sean Owen updated SPARK-15478:
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Summary: LogisticRegressionModel coefficients() returns an empty vector
(was: LogisticRegressionModel
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Sean Owen commented on SPARK-15477:
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It looks like you are indeed not supposed to call in this in 2.0
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Takuya Kuwahara commented on SPARK-15040:
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I try to work on this.
> PySpark impl for
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Takuya Ueshin updated SPARK-15483:
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Description: Extra strategies does not work for streams because
{{IncrementalExecution}} uses
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Apache Spark reassigned SPARK-15483:
Assignee: Apache Spark
> IncrementalExecution should use extra strategies.
>
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Apache Spark reassigned SPARK-15483:
Assignee: (was: Apache Spark)
> IncrementalExecution should use extra strategies.
>
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Apache Spark commented on SPARK-15483:
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User 'ueshin' has created a pull request for this issue:
Takuya Ueshin created SPARK-15483:
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Summary: IncrementalExecution should use extra strategies.
Key: SPARK-15483
URL: https://issues.apache.org/jira/browse/SPARK-15483
Project: Spark
Issue
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Netanel Malka updated SPARK-15151:
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Description:
Add support for history server on windows.
The current version, support history
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jingtao updated SPARK-15482:
Description:
I have two tables A and B in Phoenix.
I load table 'A' as dataFrame 'ADF' using spark , and
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Apache Spark reassigned SPARK-15481:
Assignee: (was: Apache Spark)
> Prevent `takeSample` from calling `collect` multiple
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Apache Spark reassigned SPARK-15481:
Assignee: Apache Spark
> Prevent `takeSample` from calling `collect` multiple times
>
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Apache Spark commented on SPARK-15481:
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User 'dongjoon-hyun' has created a pull request for this
jingtao created SPARK-15482:
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Summary: ClassCast exception when join two tables.
Key: SPARK-15482
URL: https://issues.apache.org/jira/browse/SPARK-15482
Project: Spark
Issue Type: Bug
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Dongjoon Hyun updated SPARK-15481:
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Summary: Prevent `takeSample` from calling `collect` multiple times (was:
Improve takeSample
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Raymond Honderdors closed SPARK-14946.
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Resolution: Fixed
Fix Version/s: 2.0.0
Target Version/s: 2.0.0
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Raymond Honderdors updated SPARK-14946:
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Attachment: resolved timeout long duration.png
> Spark 2.0 vs 1.6.1 Query Time(out)
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Raymond Honderdors commented on SPARK-14946:
the last comment resolved the issue, and
Dongjoon Hyun created SPARK-15481:
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Summary: Improve takeSample to call `collect` once
Key: SPARK-15481
URL: https://issues.apache.org/jira/browse/SPARK-15481
Project: Spark
Issue Type:
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Yi Zhou commented on SPARK-15396:
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Thanks a lot for your respone !
> [Spark] [SQL] [DOC] It can't
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Kazuaki Ishizaki commented on SPARK-15467:
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I will try to submit a patch against Janino.
>
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Xiao Li commented on SPARK-15396:
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Will try to reproduce it and see if it is caused by the recent code
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Yi Zhou commented on SPARK-15396:
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BTW, I only replaced 1.6 with 2.0 package.
> [Spark] [SQL] [DOC] It
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Yi Zhou edited comment on SPARK-15396 at 5/23/16 8:22 AM:
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hive-site.xml put in
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Yi Zhou commented on SPARK-15396:
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hive-site.xml put in right 'conf' folder in Spark home. my concerning
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Xiao Li commented on SPARK-15396:
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Are you sure hive-site.xml is put in the right directory that your
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lichenglin updated SPARK-15478:
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Description:
I'm not sure this is a bug.
I'm runing the sample code like this
{code}
public
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Apache Spark commented on SPARK-15476:
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User 'HyukjinKwon' has created a pull request for this
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Apache Spark reassigned SPARK-15476:
Assignee: (was: Apache Spark)
> Support for reading text data source without
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Apache Spark reassigned SPARK-15476:
Assignee: Apache Spark
> Support for reading text data source without specifying schema
>
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Piotr Milanowski closed SPARK-15445.
System builds with java 1.7 with no problems
> Build fails for java 1.7 after adding
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Linbo commented on SPARK-13773:
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See this pr: https://github.com/apache/spark/pull/13087
> UDF being
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Apache Spark reassigned SPARK-15480:
Assignee: (was: Apache Spark)
> Some InputInfo missed with window operation applied
>
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Apache Spark commented on SPARK-15480:
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User 'mwws' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-15480?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-15480:
Assignee: Apache Spark
> Some InputInfo missed with window operation applied
>
Mao, Wei created SPARK-15480:
Summary: Some InputInfo missed with window operation applied
Key: SPARK-15480
URL: https://issues.apache.org/jira/browse/SPARK-15480
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-15478?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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lichenglin updated SPARK-15478:
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Summary: LogisticRegressionModel 's Coefficients always return a empty
vector (was:
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https://issues.apache.org/jira/browse/SPARK-15396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15296010#comment-15296010
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Yi Zhou edited comment on SPARK-15396 at 5/23/16 7:02 AM:
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sorry i can't access
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https://issues.apache.org/jira/browse/SPARK-15396?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15296010#comment-15296010
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Yi Zhou commented on SPARK-15396:
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sorry i can't access the
Rakesh created SPARK-15479:
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Summary: Spark job doesn't shut gracefully in yarn mode.
Key: SPARK-15479
URL: https://issues.apache.org/jira/browse/SPARK-15479
Project: Spark
Issue Type: Bug
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lichenglin updated SPARK-15478:
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Description:
I don't know if this is a bug.
I'm runing the sample code like this
{code}
lichenglin created SPARK-15478:
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Summary: LogisticRegressionModel 's Coefficients always be a
empty vector
Key: SPARK-15478
URL: https://issues.apache.org/jira/browse/SPARK-15478
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-15425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin resolved SPARK-15425.
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Resolution: Fixed
Assignee: Sameer Agarwal
Fix Version/s: 2.0.0
> Disallow
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https://issues.apache.org/jira/browse/SPARK-15472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwei Lin updated SPARK-15472:
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Description: Support for partitioned `parquet` format in FileStreamSink was
added in Spark-14716, now
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https://issues.apache.org/jira/browse/SPARK-15472?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Liwei Lin updated SPARK-15472:
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Summary: Add partitioned `csv`, `json`, `text` format support for
FileStreamSink (was: Add support
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Apache Spark commented on SPARK-15472:
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User 'lw-lin' has created a pull request for this issue:
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