[jira] [Updated] (SPARK-12326) Move GBT implementation from spark.mllib to spark.ml

[ https://issues.apache.org/jira/browse/SPARK-12326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-12326: -- Priority: Minor (was: Major) > Move GBT implementation from spark.mllib to spark.ml >

[jira] [Resolved] (SPARK-12383) Move unit tests for GBT from spark.mllib to spark.ml

[ https://issues.apache.org/jira/browse/SPARK-12383?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-12383. --- Resolution: Duplicate > Move unit tests for GBT from spark.mllib to spark.ml > --

[jira] [Resolved] (SPARK-12326) Move GBT implementation from spark.mllib to spark.ml

[ https://issues.apache.org/jira/browse/SPARK-12326?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen resolved SPARK-12326. --- Resolution: Done > Move GBT implementation from spark.mllib to spark.ml > ---

[jira] [Commented] (SPARK-16955) Using ordinals in ORDER BY causes an analysis error when the query has a GROUP BY clause using ordinals

[ https://issues.apache.org/jira/browse/SPARK-16955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412551#comment-15412551 ] Apache Spark commented on SPARK-16955: -- User 'dongjoon-hyun' has created a pull requ

[jira] [Assigned] (SPARK-16955) Using ordinals in ORDER BY causes an analysis error when the query has a GROUP BY clause using ordinals

[ https://issues.apache.org/jira/browse/SPARK-16955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16955: Assignee: (was: Apache Spark) > Using ordinals in ORDER BY causes an analysis error wh

[jira] [Assigned] (SPARK-16955) Using ordinals in ORDER BY causes an analysis error when the query has a GROUP BY clause using ordinals

[ https://issues.apache.org/jira/browse/SPARK-16955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16955: Assignee: Apache Spark > Using ordinals in ORDER BY causes an analysis error when the quer

[jira] [Assigned] (SPARK-16718) gbm-style treeboost

[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16718: Assignee: Apache Spark (was: Vladimir Feinberg) > gbm-style treeboost > -

[jira] [Commented] (SPARK-16718) gbm-style treeboost

[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412565#comment-15412565 ] Apache Spark commented on SPARK-16718: -- User 'vlad17' has created a pull request for

[jira] [Assigned] (SPARK-16718) gbm-style treeboost

[ https://issues.apache.org/jira/browse/SPARK-16718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16718: Assignee: Vladimir Feinberg (was: Apache Spark) > gbm-style treeboost > -

[jira] [Updated] (SPARK-11150) Dynamic partition pruning

[ https://issues.apache.org/jira/browse/SPARK-11150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Davies Liu updated SPARK-11150: --- Target Version/s: (was: 2.1.0) > Dynamic partition pruning > - > >

[jira] [Updated] (SPARK-11150) Dynamic partition pruning

[ https://issues.apache.org/jira/browse/SPARK-11150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Davies Liu updated SPARK-11150: --- Assignee: (was: Davies Liu) > Dynamic partition pruning > - > >

[jira] [Created] (SPARK-16958) Reuse subqueries within single query

Davies Liu created SPARK-16958: -- Summary: Reuse subqueries within single query Key: SPARK-16958 URL: https://issues.apache.org/jira/browse/SPARK-16958 Project: Spark Issue Type: New Feature

[jira] [Commented] (SPARK-16958) Reuse subqueries within single query

[ https://issues.apache.org/jira/browse/SPARK-16958?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412578#comment-15412578 ] Apache Spark commented on SPARK-16958: -- User 'davies' has created a pull request for

[jira] [Assigned] (SPARK-16958) Reuse subqueries within single query

[ https://issues.apache.org/jira/browse/SPARK-16958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16958: Assignee: Davies Liu (was: Apache Spark) > Reuse subqueries within single query > ---

[jira] [Assigned] (SPARK-16958) Reuse subqueries within single query

[ https://issues.apache.org/jira/browse/SPARK-16958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16958: Assignee: Apache Spark (was: Davies Liu) > Reuse subqueries within single query > ---

[jira] [Resolved] (SPARK-16779) Fix unnecessary use of postfix operations

[ https://issues.apache.org/jira/browse/SPARK-16779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Marcelo Vanzin resolved SPARK-16779. Resolution: Fixed Assignee: holdenk Fix Version/s: 2.1.0 > Fix unnecessary

[jira] [Commented] (SPARK-12909) Spark on Mesos accessing Secured HDFS w/Kerberos

[ https://issues.apache.org/jira/browse/SPARK-12909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412624#comment-15412624 ] Michael Gummelt commented on SPARK-12909: - DC/OS Spark has this functionality, an

[jira] [Resolved] (SPARK-16749) Clean-up OffsetWindowFrame

[ https://issues.apache.org/jira/browse/SPARK-16749?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yin Huai resolved SPARK-16749. -- Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 14376 [https://github.com/

[jira] [Created] (SPARK-16959) Table Comment in the CatalogTable returned from HiveMetastore is Always Empty

Xiao Li created SPARK-16959: --- Summary: Table Comment in the CatalogTable returned from HiveMetastore is Always Empty Key: SPARK-16959 URL: https://issues.apache.org/jira/browse/SPARK-16959 Project: Spark

[jira] [Assigned] (SPARK-16959) Table Comment in the CatalogTable returned from HiveMetastore is Always Empty

[ https://issues.apache.org/jira/browse/SPARK-16959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16959: Assignee: Apache Spark > Table Comment in the CatalogTable returned from HiveMetastore is

[jira] [Assigned] (SPARK-16959) Table Comment in the CatalogTable returned from HiveMetastore is Always Empty

[ https://issues.apache.org/jira/browse/SPARK-16959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16959: Assignee: (was: Apache Spark) > Table Comment in the CatalogTable returned from HiveMe

[jira] [Commented] (SPARK-16959) Table Comment in the CatalogTable returned from HiveMetastore is Always Empty

[ https://issues.apache.org/jira/browse/SPARK-16959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412658#comment-15412658 ] Apache Spark commented on SPARK-16959: -- User 'gatorsmile' has created a pull request

[jira] [Created] (SPARK-16960) Deprecate approxCountDistinct, toDegrees and toRadians according to FunctionRegistry in Scala and Python

Hyukjin Kwon created SPARK-16960: Summary: Deprecate approxCountDistinct, toDegrees and toRadians according to FunctionRegistry in Scala and Python Key: SPARK-16960 URL: https://issues.apache.org/jira/browse/SPARK

[jira] [Assigned] (SPARK-16960) Deprecate approxCountDistinct, toDegrees and toRadians according to FunctionRegistry in Scala and Python

[ https://issues.apache.org/jira/browse/SPARK-16960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16960: Assignee: Apache Spark > Deprecate approxCountDistinct, toDegrees and toRadians according

[jira] [Assigned] (SPARK-16960) Deprecate approxCountDistinct, toDegrees and toRadians according to FunctionRegistry in Scala and Python

[ https://issues.apache.org/jira/browse/SPARK-16960?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16960: Assignee: (was: Apache Spark) > Deprecate approxCountDistinct, toDegrees and toRadians

[jira] [Commented] (SPARK-16960) Deprecate approxCountDistinct, toDegrees and toRadians according to FunctionRegistry in Scala and Python

[ https://issues.apache.org/jira/browse/SPARK-16960?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412695#comment-15412695 ] Apache Spark commented on SPARK-16960: -- User 'HyukjinKwon' has created a pull reques

[jira] [Created] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

Nicholas created SPARK-16961: Summary: Utils.randomizeInPlace does not shuffle arrays uniformly Key: SPARK-16961 URL: https://issues.apache.org/jira/browse/SPARK-16961 Project: Spark Issue Type:

[jira] [Updated] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nicholas updated SPARK-16961: - Description: The Utils.randomizeInPlace method, which is meant to uniformly shuffle the elements on an i

[jira] [Commented] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412705#comment-15412705 ] Nicholas commented on SPARK-16961: -- I am submitting a PR > Utils.randomizeInPlace does

[jira] [Updated] (SPARK-16898) Adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn

[ https://issues.apache.org/jira/browse/SPARK-16898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16898: Assignee: Sean Zhong > Adds argument type information for typed logical plan like MapElements, > T

[jira] [Resolved] (SPARK-16898) Adds argument type information for typed logical plan like MapElements, TypedFilter, and AppendColumn

[ https://issues.apache.org/jira/browse/SPARK-16898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16898. - Resolution: Fixed Fix Version/s: 2.1.0 Issue resolved by pull request 14494 [https://githu

[jira] [Commented] (SPARK-6235) Address various 2G limits

[ https://issues.apache.org/jira/browse/SPARK-6235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412727#comment-15412727 ] Brian commented on SPARK-6235: -- How is it possible that Spark 2.0 comes and and this bug isn'

[jira] [Resolved] (SPARK-16563) Repeat calling Spark SQL thrift server fetchResults return empty for ExecuteStatement operation

[ https://issues.apache.org/jira/browse/SPARK-16563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin resolved SPARK-16563. - Resolution: Fixed Assignee: Gu Huiqin Alice Fix Version/s: 2.1.0

[jira] [Assigned] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16961: Assignee: Apache Spark > Utils.randomizeInPlace does not shuffle arrays uniformly > --

[jira] [Commented] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412783#comment-15412783 ] Apache Spark commented on SPARK-16961: -- User 'nicklavers' has created a pull request

[jira] [Assigned] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16961: Assignee: (was: Apache Spark) > Utils.randomizeInPlace does not shuffle arrays uniform

[jira] [Issue Comment Deleted] (SPARK-16961) Utils.randomizeInPlace does not shuffle arrays uniformly

[ https://issues.apache.org/jira/browse/SPARK-16961?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Nicholas updated SPARK-16961: - Comment: was deleted (was: I am submitting a PR) > Utils.randomizeInPlace does not shuffle arrays unifor

[jira] [Created] (SPARK-16962) Unsafe accesses (Platform.getLong()) not supported on unaligned boundaries in SPARC/Solaris

Suman Somasundar created SPARK-16962: Summary: Unsafe accesses (Platform.getLong()) not supported on unaligned boundaries in SPARC/Solaris Key: SPARK-16962 URL: https://issues.apache.org/jira/browse/SPARK-1696

[jira] [Assigned] (SPARK-16952) [MESOS] MesosCoarseGrainedSchedulerBackend requires spark.mesos.executor.home even if spark.executor.uri is set

[ https://issues.apache.org/jira/browse/SPARK-16952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16952: Assignee: (was: Apache Spark) > [MESOS] MesosCoarseGrainedSchedulerBackend requires sp

[jira] [Assigned] (SPARK-16952) [MESOS] MesosCoarseGrainedSchedulerBackend requires spark.mesos.executor.home even if spark.executor.uri is set

[ https://issues.apache.org/jira/browse/SPARK-16952?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16952: Assignee: Apache Spark > [MESOS] MesosCoarseGrainedSchedulerBackend requires spark.mesos.e

[jira] [Commented] (SPARK-16952) [MESOS] MesosCoarseGrainedSchedulerBackend requires spark.mesos.executor.home even if spark.executor.uri is set

[ https://issues.apache.org/jira/browse/SPARK-16952?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412825#comment-15412825 ] Apache Spark commented on SPARK-16952: -- User 'mgummelt' has created a pull request f

[jira] [Created] (SPARK-16963) Change Source API so that sources do not need to keep unbounded state

Frederick Reiss created SPARK-16963: --- Summary: Change Source API so that sources do not need to keep unbounded state Key: SPARK-16963 URL: https://issues.apache.org/jira/browse/SPARK-16963 Project:

[jira] [Resolved] (SPARK-16610) When writing ORC files, orc.compress should not be overridden if users do not set "compression" in the options

[ https://issues.apache.org/jira/browse/SPARK-16610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan resolved SPARK-16610. - Resolution: Fixed Fix Version/s: 2.1.0 2.0.1 Issue resolved by pull req

[jira] [Updated] (SPARK-16610) When writing ORC files, orc.compress should not be overridden if users do not set "compression" in the options

[ https://issues.apache.org/jira/browse/SPARK-16610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Wenchen Fan updated SPARK-16610: Assignee: Hyukjin Kwon > When writing ORC files, orc.compress should not be overridden if users do

[jira] [Commented] (SPARK-16963) Change Source API so that sources do not need to keep unbounded state

[ https://issues.apache.org/jira/browse/SPARK-16963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412840#comment-15412840 ] Apache Spark commented on SPARK-16963: -- User 'frreiss' has created a pull request fo

[jira] [Assigned] (SPARK-16963) Change Source API so that sources do not need to keep unbounded state

[ https://issues.apache.org/jira/browse/SPARK-16963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16963: Assignee: Apache Spark > Change Source API so that sources do not need to keep unbounded s

[jira] [Assigned] (SPARK-16963) Change Source API so that sources do not need to keep unbounded state

[ https://issues.apache.org/jira/browse/SPARK-16963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16963: Assignee: (was: Apache Spark) > Change Source API so that sources do not need to keep

[jira] [Commented] (SPARK-16804) Correlated subqueries containing non-deterministic operators return incorrect results

[ https://issues.apache.org/jira/browse/SPARK-16804?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412849#comment-15412849 ] Nattavut Sutyanyong commented on SPARK-16804: - Thank you, @hvanhovell, for me

[jira] [Updated] (SPARK-12920) Honor "spark.ui.retainedStages" to reduce mem-pressure

[ https://issues.apache.org/jira/browse/SPARK-12920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Rajesh Balamohan updated SPARK-12920: - Summary: Honor "spark.ui.retainedStages" to reduce mem-pressure (was: Fix high CPU usage

[jira] [Commented] (SPARK-16951) Alternative implementation of NOT IN to Anti-join

[ https://issues.apache.org/jira/browse/SPARK-16951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412878#comment-15412878 ] Nattavut Sutyanyong commented on SPARK-16951: - The semantic of {{NOT IN}} is

[jira] [Commented] (SPARK-16951) Alternative implementation of NOT IN to Anti-join

[ https://issues.apache.org/jira/browse/SPARK-16951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412882#comment-15412882 ] Nattavut Sutyanyong commented on SPARK-16951: - The following output is tested

[jira] [Comment Edited] (SPARK-16951) Alternative implementation of NOT IN to Anti-join

[ https://issues.apache.org/jira/browse/SPARK-16951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412882#comment-15412882 ] Nattavut Sutyanyong edited comment on SPARK-16951 at 8/9/16 3:54 AM: --

[jira] [Commented] (SPARK-16955) Using ordinals in ORDER BY causes an analysis error when the query has a GROUP BY clause using ordinals

[ https://issues.apache.org/jira/browse/SPARK-16955?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412893#comment-15412893 ] Dongjoon Hyun commented on SPARK-16955: --- Hi, [~yhuai]. Could you review the PR? The

[jira] [Created] (SPARK-16964) Remove private[sql] and private[spark] from sql.execution package

Reynold Xin created SPARK-16964: --- Summary: Remove private[sql] and private[spark] from sql.execution package Key: SPARK-16964 URL: https://issues.apache.org/jira/browse/SPARK-16964 Project: Spark

[jira] [Updated] (SPARK-16964) Remove private[sql] and private[spark] from sql.execution package

[ https://issues.apache.org/jira/browse/SPARK-16964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin updated SPARK-16964: Description: The execution package is meant to be internal, and as a result it does not make sense

[jira] [Commented] (SPARK-16964) Remove private[sql] and private[spark] from sql.execution package

[ https://issues.apache.org/jira/browse/SPARK-16964?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412907#comment-15412907 ] Apache Spark commented on SPARK-16964: -- User 'rxin' has created a pull request for t

[jira] [Assigned] (SPARK-16964) Remove private[sql] and private[spark] from sql.execution package

[ https://issues.apache.org/jira/browse/SPARK-16964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16964: Assignee: Reynold Xin (was: Apache Spark) > Remove private[sql] and private[spark] from s

[jira] [Assigned] (SPARK-16964) Remove private[sql] and private[spark] from sql.execution package

[ https://issues.apache.org/jira/browse/SPARK-16964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16964: Assignee: Apache Spark (was: Reynold Xin) > Remove private[sql] and private[spark] from s

[jira] [Created] (SPARK-16965) Fix bound checking for SparseVector

Jeff Zhang created SPARK-16965: -- Summary: Fix bound checking for SparseVector Key: SPARK-16965 URL: https://issues.apache.org/jira/browse/SPARK-16965 Project: Spark Issue Type: Bug Affects V

[jira] [Resolved] (SPARK-16887) Add SPARK_DIST_CLASSPATH to LAUNCH_CLASSPATH

[ https://issues.apache.org/jira/browse/SPARK-16887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Yin Huai resolved SPARK-16887. -- Resolution: Won't Fix > Add SPARK_DIST_CLASSPATH to LAUNCH_CLASSPATH >

[jira] [Updated] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jeff Zhang updated SPARK-16965: --- Component/s: PySpark MLlib > Fix bound checking for SparseVector > -

[jira] [Assigned] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16965: Assignee: Apache Spark > Fix bound checking for SparseVector > ---

[jira] [Commented] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15412965#comment-15412965 ] Apache Spark commented on SPARK-16965: -- User 'zjffdu' has created a pull request for

[jira] [Assigned] (SPARK-16965) Fix bound checking for SparseVector

[ https://issues.apache.org/jira/browse/SPARK-16965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16965: Assignee: (was: Apache Spark) > Fix bound checking for SparseVector >

[jira] [Commented] (SPARK-16896) Loading csv with duplicate column names

[ https://issues.apache.org/jira/browse/SPARK-16896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413007#comment-15413007 ] Natu Lauchande commented on SPARK-16896: I wonder if anyone is tackling this issu

[jira] [Created] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

Weiqing Yang created SPARK-16966: Summary: App Name is a randomUUID even when "spark.app.name" exists Key: SPARK-16966 URL: https://issues.apache.org/jira/browse/SPARK-16966 Project: Spark Is

[jira] [Commented] (SPARK-16896) Loading csv with duplicate column names

[ https://issues.apache.org/jira/browse/SPARK-16896?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413038#comment-15413038 ] Hyukjin Kwon commented on SPARK-16896: -- I don't mind if you go ahead (I was looking

[jira] [Commented] (SPARK-16962) Unsafe accesses (Platform.getLong()) not supported on unaligned boundaries in SPARC/Solaris

[ https://issues.apache.org/jira/browse/SPARK-16962?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413043#comment-15413043 ] Sean Owen commented on SPARK-16962: --- I doubt SPARC would be considered supported for re

[jira] [Commented] (SPARK-6235) Address various 2G limits

[ https://issues.apache.org/jira/browse/SPARK-6235?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413055#comment-15413055 ] Sean Owen commented on SPARK-6235: -- I think the short answer is, it's very hard. I am not

[jira] [Commented] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

[ https://issues.apache.org/jira/browse/SPARK-16966?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413059#comment-15413059 ] Apache Spark commented on SPARK-16966: -- User 'Sherry302' has created a pull request

[jira] [Assigned] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

[ https://issues.apache.org/jira/browse/SPARK-16966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16966: Assignee: Apache Spark > App Name is a randomUUID even when "spark.app.name" exists >

[jira] [Assigned] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

[ https://issues.apache.org/jira/browse/SPARK-16966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16966: Assignee: (was: Apache Spark) > App Name is a randomUUID even when "spark.app.name" ex

[jira] [Commented] (SPARK-12909) Spark on Mesos accessing Secured HDFS w/Kerberos

[ https://issues.apache.org/jira/browse/SPARK-12909?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413058#comment-15413058 ] Sean Owen commented on SPARK-12909: --- As we look at more significant features you want t

[jira] [Created] (SPARK-16967) Collect Mesos support code into a module/profile

Sean Owen created SPARK-16967: - Summary: Collect Mesos support code into a module/profile Key: SPARK-16967 URL: https://issues.apache.org/jira/browse/SPARK-16967 Project: Spark Issue Type: Task

[jira] [Assigned] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

[ https://issues.apache.org/jira/browse/SPARK-16966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16966: Assignee: (was: Apache Spark) > App Name is a randomUUID even when "spark.app.name" ex

[jira] [Assigned] (SPARK-16966) App Name is a randomUUID even when "spark.app.name" exists

[ https://issues.apache.org/jira/browse/SPARK-16966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16966: Assignee: Apache Spark > App Name is a randomUUID even when "spark.app.name" exists >

[jira] [Assigned] (SPARK-16709) Task with commit failed will retry infinite when speculation set to true

[ https://issues.apache.org/jira/browse/SPARK-16709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16709: Assignee: (was: Apache Spark) > Task with commit failed will retry infinite when specu

[jira] [Commented] (SPARK-16709) Task with commit failed will retry infinite when speculation set to true

[ https://issues.apache.org/jira/browse/SPARK-16709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413065#comment-15413065 ] Apache Spark commented on SPARK-16709: -- User 'shenh062326' has created a pull reques

[jira] [Assigned] (SPARK-16709) Task with commit failed will retry infinite when speculation set to true

[ https://issues.apache.org/jira/browse/SPARK-16709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-16709: Assignee: Apache Spark > Task with commit failed will retry infinite when speculation set

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