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Kai Jiang commented on SPARK-12567:
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Go ahead!
> Add aes_encrypt and aes_decrypt UDFs
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Hao Wu commented on SPARK-12567:
I'll take it.
> Add aes_encrypt and aes_decrypt UDFs
>
Mayank Jain created SPARK-15661:
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Summary: mapWithState eating heap memory
Key: SPARK-15661
URL: https://issues.apache.org/jira/browse/SPARK-15661
Project: Spark
Issue Type: Bug
Compo
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Apache Spark reassigned SPARK-15659:
Assignee: Apache Spark
> Ensure FileSystem is gotten from path in InMemoryCatalog
> --
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Apache Spark commented on SPARK-15659:
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User 'jerryshao' has created a pull request
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Apache Spark reassigned SPARK-15659:
Assignee: (was: Apache Spark)
> Ensure FileSystem is gotten from path in InMemoryCatal
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Reynold Xin commented on SPARK-15551:
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This was resolved together with
https://issue
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Reynold Xin resolved SPARK-15551.
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Resolution: Fixed
Assignee: Reynold Xin
Fix Version/s: 2.0.0
> Scaladoc for KeyVa
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Reynold Xin resolved SPARK-15638.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Audit Dataset, SparkSession, and SQLContext funct
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Gil Vernik commented on SPARK-13979:
Is there any way to easily reproduce it?.
I als
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Apache Spark commented on SPARK-15660:
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User 'dongjoon-hyun' has created a pull requ
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Apache Spark reassigned SPARK-15660:
Assignee: (was: Apache Spark)
> RDD and Dataset should show the consistent value for v
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Apache Spark reassigned SPARK-15660:
Assignee: Apache Spark
> RDD and Dataset should show the consistent value for variance/std
Dongjoon Hyun created SPARK-15660:
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Summary: RDD and Dataset should show the consistent value for
variance/stdev.
Key: SPARK-15660
URL: https://issues.apache.org/jira/browse/SPARK-15660
Project: Spark
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Saisai Shao updated SPARK-15659:
Component/s: SQL
> Ensure FileSystem is gotten from path in InMemoryCatalog
> -
Saisai Shao created SPARK-15659:
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Summary: Ensure FileSystem is gotten from path in InMemoryCatalog
Key: SPARK-15659
URL: https://issues.apache.org/jira/browse/SPARK-15659
Project: Spark
Issue
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Cheng Lian updated SPARK-15632:
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Description:
h1. Overview
Filter operations should never change query plan schema. However, Dataset
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Apache Spark commented on SPARK-15658:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-15658:
Assignee: Wenchen Fan (was: Apache Spark)
> Analysis exception if Dataset.map returns UDT
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Apache Spark reassigned SPARK-15658:
Assignee: Apache Spark (was: Wenchen Fan)
> Analysis exception if Dataset.map returns UDT
Wenchen Fan created SPARK-15658:
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Summary: Analysis exception if Dataset.map returns UDT object
Key: SPARK-15658
URL: https://issues.apache.org/jira/browse/SPARK-15658
Project: Spark
Issue Type
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Apache Spark commented on SPARK-15657:
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User 'cloud-fan' has created a pull request
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Apache Spark reassigned SPARK-15657:
Assignee: Wenchen Fan (was: Apache Spark)
> RowEncoder should validate the data type of i
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Apache Spark reassigned SPARK-15657:
Assignee: Apache Spark (was: Wenchen Fan)
> RowEncoder should validate the data type of i
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Ajeet commented on SPARK-4105:
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This issue got fixed in 1.5.1 version but I was looking if it
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Jieyuan Chen updated SPARK-15656:
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Description:
I've been running a ChiSqTest to test whether my samples fit a uniform
distribution
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Ajeet updated SPARK-15653:
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Comment: was deleted
(was: Hi Sean,
Thanks for your reply , I was looking if it can be ported to 1.3.1 version
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Ajeet updated SPARK-15653:
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Comment: was deleted
(was: Hi Sean,
Thanks for your reply , I was looking if it can be ported to 1.3.1 version,
Wenchen Fan created SPARK-15657:
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Summary: RowEncoder should validate the data type of input object
Key: SPARK-15657
URL: https://issues.apache.org/jira/browse/SPARK-15657
Project: Spark
Issue
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Sean Owen closed SPARK-15653.
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> Please can you backport the JIRA issue SPARK-12418 which was Fixed in 1.5.1 i
> need it 1.3.1 version.
> -
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Sean Owen resolved SPARK-15653.
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Resolution: Invalid
Fix Version/s: (was: 1.5.1)
Dont reopen this or keep commenting. As I
Jieyuan Chen created SPARK-15656:
Summary: ChiSqTest for goodness of fit doesn't test against a
wrong uniform distribution by default
Key: SPARK-15656
URL: https://issues.apache.org/jira/browse/SPARK-15656
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Ajeet reopened SPARK-15653:
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Hi Sean,
Thanks for your reply , I was looking if it can be ported to 1.3.1 version,as i
am not using 1.5.1 as o
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Takeshi Yamamuro commented on SPARK-15530:
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I couldn't find the best solution fo
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yuhao yang commented on SPARK-14815:
All the sub-tasks already have PR under review.
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Takeshi Yamamuro commented on SPARK-15654:
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Seems a root cause is that LineRecor
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Apache Spark reassigned SPARK-15655:
Assignee: Apache Spark
> Wrong Result when Fetching Partitioned Tables
> -
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Apache Spark commented on SPARK-15655:
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User 'gatorsmile' has created a pull request
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Apache Spark reassigned SPARK-15655:
Assignee: (was: Apache Spark)
> Wrong Result when Fetching Partitioned Tables
> --
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Sean Owen reopened SPARK-8728:
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(Just reopening to mark this Duplicate)
> Add configuration for limiting the maximum number of active stage
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Sean Owen resolved SPARK-8728.
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Resolution: Duplicate
> Add configuration for limiting the maximum number of active stages in a fair
>
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Xiao Li updated SPARK-15655:
Description:
When fetching the partitioned table, the output contains wrong results
regarding partitioning
Xiao Li created SPARK-15655:
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Summary: Wrong Result when Fetching Partitioned Tables
Key: SPARK-15655
URL: https://issues.apache.org/jira/browse/SPARK-15655
Project: Spark
Issue Type: Bug
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Xin Ren updated SPARK-15509:
Description:
Currently in SparkR, when you load a LibSVM dataset using the sqlContext and
then pass it to
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Kay Ousterhout commented on SPARK-15176:
I just noticed someone tried to add this
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Xin Ren updated SPARK-15509:
Description:
Currently in SparkR, when you load a LibSVM dataset using the sqlContext and
then pass it to
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Kay Ousterhout closed SPARK-8728.
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Resolution: Fixed
Closing this because it is a duplicate
> Add configuration for limiting the max
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Xin Ren commented on SPARK-15509:
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I can reproduce the error here now, sorry for botherin
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Kay Ousterhout resolved SPARK-10530.
Resolution: Fixed
Assignee: Devaraj K
Fix Version/s: 2.1.0
> Kill other tas
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Sean Owen updated SPARK-15159:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
> SparkSession R API
>
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Reynold Xin commented on SPARK-15598:
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That's a good point. Basically you either have
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Jurriaan Pruis commented on SPARK-15654:
Sorry, not sure about other formats. So
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Greg Silverman commented on SPARK-12550:
It's all good...
> sbt-launch-lib.bash:
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Rowan Remy commented on SPARK-15571:
I'd like to give the Python API side of this tic
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Michael Armbrust commented on SPARK-15654:
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Thanks for point this out! Looks li
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Michael Armbrust updated SPARK-15654:
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Target Version/s: 2.0.0
> Reading gzipped files results in duplicate rows
> -
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Michael Armbrust updated SPARK-15654:
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Priority: Blocker (was: Critical)
> Reading gzipped files results in duplicate rows
> --
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Michael Armbrust commented on SPARK-15489:
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As soon as you open a PR it will aut
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Subroto Sanyal commented on SPARK-15652:
the jar contains the source code as well
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Sean Owen updated SPARK-15654:
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Priority: Critical (was: Blocker)
> Reading gzipped files results in duplicate rows
>
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Jurriaan Pruis commented on SPARK-15654:
cc [~davies] [~marmbrus] I saw you guys
Jurriaan Pruis created SPARK-15654:
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Summary: Reading gzipped files results in duplicate rows
Key: SPARK-15654
URL: https://issues.apache.org/jira/browse/SPARK-15654
Project: Spark
Issue Typ
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Stavros Kontopoulos commented on SPARK-15651:
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Ok thnx i will look at it.
>
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Sean Owen commented on SPARK-15651:
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It ought to be comparing against the current state
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Stavros Kontopoulos commented on SPARK-15651:
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It does compare i guess if i u
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Sean Owen commented on SPARK-15651:
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I am guessing it is because it is comparing vs ups
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Sean Owen commented on SPARK-15652:
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It doesn't do any good though -- source code would
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Sean Owen updated SPARK-15501:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
> ML 2.0 QA: Scala APIs audit for r
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Sean Owen updated SPARK-15129:
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Priority: Blocker (was: Major)
> Clarify conventions for calling Spark and MLlib from R
>
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Sean Owen updated SPARK-15490:
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Priority: Blocker (was: Major)
> SparkR 2.0 QA: New R APIs and API docs for non-MLib changes
> ---
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Sean Owen updated SPARK-15177:
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Priority: Blocker (was: Major)
> SparkR 2.0 QA: New R APIs and API docs for mllib.R
>
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Sean Owen updated SPARK-15100:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
A 2.0 Blocker requires this, so ref
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Sean Owen updated SPARK-15099:
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Target Version/s: 2.0.0
Priority: Blocker (was: Major)
A 2.0 Blocker requires this, so ref
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Stavros Kontopoulos edited comment on SPARK-15651 at 5/30/16 1:42 PM:
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Subroto Sanyal commented on SPARK-15652:
the jar only contains a test-case to rep
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Stavros Kontopoulos edited comment on SPARK-15651 at 5/30/16 1:41 PM:
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Sean Owen updated SPARK-15645:
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Assignee: Xin Ren
> Fix some typos of Streaming module
> --
>
>
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Stavros Kontopoulos commented on SPARK-15651:
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Im just doing a PR verificatio
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Sean Owen resolved SPARK-15645.
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Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 13385
[https://github.co
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Ajeet commented on SPARK-15653:
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Hi Sean,
Thanks for your reply , I was looking if it can b
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Ajeet commented on SPARK-12418:
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Hi, Please suggest if this issue can be back ported under
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Ajeet commented on SPARK-15653:
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Hi Sean,
Thanks for your reply , I was looking if it can
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Sean Owen resolved SPARK-15651.
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Resolution: Not A Problem
This happens when you make a change that appears to alter public APIs. What
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Sean Owen commented on SPARK-15652:
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You attached a JAR file. If you have a fix or code
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Sean Owen resolved SPARK-15653.
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Resolution: Invalid
Don't open a new JIRA. You can comment on the old one. I don't think there will
Ajeet created SPARK-15653:
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Summary: Please can you backport the JIRA issue SPARK-12418 which
was Fixed in 1.5.1 i need it 1.3.1 version.
Key: SPARK-15653
URL: https://issues.apache.org/jira/browse/SPARK-15653
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Subroto Sanyal updated SPARK-15652:
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Description:
h6. Problem
In case SparkSubmit JVM goes down even before sending the job comple
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Subroto Sanyal updated SPARK-15652:
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Attachment: spark-launcher-client-hang.jar
Attaching a unit test to show the hanging behaviou
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https://issues.apache.org/jira/browse/SPARK-8118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15306645#comment-15306645
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KaiXinXIaoLei commented on SPARK-8118:
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[~lian cheng] I run queries using spark-sql -
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Subroto Sanyal updated SPARK-15652:
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Description:
h6. Problem
In case SparkSubmit JVM goes down even before sending the job comple
Subroto Sanyal created SPARK-15652:
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Summary: Missing org.apache.spark.launcher.SparkAppHandle.Listener
notification if SparkSubmit JVM shutsdown
Key: SPARK-15652
URL: https://issues.apache.org/jira/browse/SPARK-
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Stavros Kontopoulos updated SPARK-15651:
Priority: Minor (was: Major)
> mima seems to fail for some excluded classes
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Stavros Kontopoulos updated SPARK-15651:
Description:
https://ci.typesafe.com/job/ghprb-spark-multi-conf/label=mesos-spark-d
Stavros Kontopoulos created SPARK-15651:
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Summary: mima seems to fail for some excluded classes
Key: SPARK-15651
URL: https://issues.apache.org/jira/browse/SPARK-15651
Project: Spark
Is
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Apache Spark commented on SPARK-15620:
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User 'jerryshao' has created a pull request
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Apache Spark reassigned SPARK-15620:
Assignee: (was: Apache Spark)
> Dataset.map creates a dataset that can't be self-joine
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Apache Spark reassigned SPARK-15620:
Assignee: Apache Spark
> Dataset.map creates a dataset that can't be self-joined
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https://issues.apache.org/jira/browse/SPARK-15614?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15306419#comment-15306419
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zhengruifeng commented on SPARK-15614:
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Agreed.
What about setting the default value
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zhengruifeng updated SPARK-15650:
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Summary: Add correctness test for MulticlassClassificationEvaluator (was:
Add correctness test f
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Apache Spark reassigned SPARK-15650:
Assignee: (was: Apache Spark)
> Add correctness test for MulticlassClassification
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