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Nishkam Ravi updated SPARK-1388:
Attachment: (was: Conf_Spark.patch)
ConcurrentModificationException in hadoop_common exposed
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Nishkam Ravi commented on SPARK-1097:
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Attached is a patch for this issue. Verified
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Nishkam Ravi commented on SPARK-1097:
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We can consider putting a workaround in Spark
Nishkam Ravi created SPARK-1575:
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Summary: failing tests with master branch
Key: SPARK-1575
URL: https://issues.apache.org/jira/browse/SPARK-1575
Project: Spark
Issue Type: Test
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Nishkam Ravi updated SPARK-1576:
Description: JAVA_OPTS can be passed by using either env variables (i.e.,
SPARK_JAVA_OPTS) or as
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Nishkam Ravi commented on SPARK-1576:
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Hi Sandy, I've initiated a pull request for
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Nishkam Ravi commented on SPARK-1576:
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Thomas, --driver-java-options would not work
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Nishkam Ravi commented on SPARK-1573:
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In the documentation at the bottom of this
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Nishkam Ravi updated SPARK-1575:
Priority: Blocker (was: Major)
failing tests with master branch
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Nishkam Ravi commented on SPARK-1576:
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We have been using SPARK_JAVA_OPTS and
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Nishkam Ravi commented on SPARK-1758:
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The prefix file: is missing in the string
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Nishkam Ravi commented on SPARK-1758:
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Pull requests:
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Nishkam Ravi commented on SPARK-1758:
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Keeping only pull request 692 open.
failing
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Nishkam Ravi updated SPARK-1758:
Attachment: SPARK-1758.patch
failing test org.apache.spark.JavaAPISuite.wholeTextFiles
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Nishkam Ravi commented on SPARK-1097:
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Have initiated a PR for a workaround in Spark
Nishkam Ravi created SPARK-2151:
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Summary: spark-submit issue (int format expected for memory
parameter)
Key: SPARK-2151
URL: https://issues.apache.org/jira/browse/SPARK-2151
Project: Spark
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Nishkam Ravi commented on SPARK-2151:
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PR: https://github.com/apache/spark/pull/1095/
Nishkam Ravi created SPARK-2398:
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Summary: Trouble running Spark 1.0 on Yarn
Key: SPARK-2398
URL: https://issues.apache.org/jira/browse/SPARK-2398
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-2398:
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Thanks [~gq], looks related. I can see the
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Nishkam Ravi commented on SPARK-2398:
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A bit unclear on the root cause.
Q1. Are the
Nishkam Ravi created SPARK-2444:
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Summary: Make spark.yarn.executor.memoryOverhead a first class
citizen
Key: SPARK-2444
URL: https://issues.apache.org/jira/browse/SPARK-2444
Project: Spark
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Nishkam Ravi commented on SPARK-2444:
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[~tgraves] Thanks for the pointer. I guess I
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Nishkam Ravi commented on SPARK-2398:
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[~gq] [~sowen] I don't specify XmX, I'm only
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Nishkam Ravi commented on SPARK-2398:
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In this case, it should be Spark taking care of
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Nishkam Ravi commented on SPARK-3633:
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[~pwendell] I see a large number of open files
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Nishkam Ravi commented on SPARK-3633:
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Looks ok (still waiting on the run to
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Nishkam Ravi commented on SPARK-3633:
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Unsurprisingly, the run goes through. It would
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Nishkam Ravi commented on SPARK-3633:
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With higher values of ulimit and timeout
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Nishkam Ravi commented on SPARK-3633:
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Increasing the value of
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Nishkam Ravi commented on SPARK-3633:
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For a different workload (variant of TeraSort),
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Nishkam Ravi commented on SPARK-3633:
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Quick update: reverting 4fde28c gets rid of the
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Nishkam Ravi commented on SPARK-2398:
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[~srowen] yes, this has been resolved by
Nishkam Ravi created SPARK-4484:
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Summary: Treat maxResultSize as unlimited when set to 0; improve
error message
Key: SPARK-4484
URL: https://issues.apache.org/jira/browse/SPARK-4484
Project: Spark
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Nishkam Ravi commented on SPARK-4484:
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PR: https://github.com/apache/spark/pull/3360/
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Nishkam Ravi commented on SPARK-4484:
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Yeah, most workloads break with a large enough
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Nishkam Ravi updated SPARK-4484:
Summary: [CORE] Treat maxResultSize as unlimited when set to 0; improve
error message (was: Treat
Nishkam Ravi created SPARK-4515:
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Summary: OOM/GC errors with sort-based shuffle
Key: SPARK-4515
URL: https://issues.apache.org/jira/browse/SPARK-4515
Project: Spark
Issue Type: Bug
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Nishkam Ravi updated SPARK-4515:
Description:
OOM/GC errors with sort-based shuffle that go away when shuffle.manager is set
to
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Nishkam Ravi commented on SPARK-4515:
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I run a slightly modified version of PageRank,
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Nishkam Ravi commented on SPARK-4515:
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Looks like this issue got fixed through one of
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Nishkam Ravi commented on SPARK-4515:
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Yep. SPARK-4467 fixes this issue. Closing this
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Nishkam Ravi resolved SPARK-4515.
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Resolution: Fixed
OOM/GC errors with sort-based shuffle
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Nishkam Ravi commented on SPARK-3633:
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Fixed by PR for SPARK-4480.
Fetches failure
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Nishkam Ravi resolved SPARK-3633.
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Resolution: Fixed
Fetches failure observed after SPARK-2711
Nishkam Ravi created SPARK-4584:
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Summary: 2x Performance regression for Spark-on-YARN
Key: SPARK-4584
URL: https://issues.apache.org/jira/browse/SPARK-4584
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-4584:
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In YARN cluster mode.
2x Performance
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Nishkam Ravi updated SPARK-4584:
Description: Significant performance regression observed for Spark-on-YARN
(upto 2x) after 1.2
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Nishkam Ravi updated SPARK-4584:
Comment: was deleted
(was: In YARN cluster mode.)
2x Performance regression for Spark-on-YARN
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Nishkam Ravi commented on SPARK-4584:
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Looked into this issue a bit more. Source of
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Nishkam Ravi commented on SPARK-4584:
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Looks like java.lang.SecurityManager is a hog.
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Nishkam Ravi commented on SPARK-4584:
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I don't see SecurityManager anywhere else in
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Nishkam Ravi commented on SPARK-4584:
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Use of SecurityManager may be suppressing a JIT
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Nishkam Ravi commented on SPARK-4584:
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[~andrewor14] Just curious, why is that
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Nishkam Ravi commented on SPARK-4584:
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Around 2GB in the map stage and 1.5GB in the
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Nishkam Ravi commented on SPARK-4584:
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I would recommend working with JavaWordCount.
Nishkam Ravi created SPARK-6406:
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Summary: Launcher backward compatibility issues
Key: SPARK-6406
URL: https://issues.apache.org/jira/browse/SPARK-6406
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-6406:
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Also, we should not look for a separate
Nishkam Ravi created SPARK-6234:
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Summary: 10% Performance regression with Breeze upgrade
Key: SPARK-6234
URL: https://issues.apache.org/jira/browse/SPARK-6234
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-6234:
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[~mengxr] Variant of
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Nishkam Ravi commented on SPARK-6234:
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Are we saying that Breeze's performance is
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Nishkam Ravi commented on SPARK-6234:
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Right. This particular implementation can be
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Nishkam Ravi commented on SPARK-6142:
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[~zsxwing]Yes, the 10-12% regression was
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Nishkam Ravi commented on SPARK-6142:
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[~srowen] GC takes at least one extra cycle for
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Nishkam Ravi commented on SPARK-6234:
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If Spark doesn't directly/indirectly invoke
Nishkam Ravi created SPARK-6142:
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Summary: 10-12% Performance regression with finalize
Key: SPARK-6142
URL: https://issues.apache.org/jira/browse/SPARK-6142
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-6142:
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Fixed (master
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Nishkam Ravi resolved SPARK-6142.
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Resolution: Fixed
10-12% Performance regression with finalize
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Nishkam Ravi reopened SPARK-5423:
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The commit was reverted due to performance issues. Re-opening this JIRA.
ExternalAppendOnlyMap
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Nishkam Ravi commented on SPARK-7213:
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Exception in thread main
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Nishkam Ravi commented on SPARK-7213:
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PR: https://github.com/apache/spark/pull/5760/
Nishkam Ravi created SPARK-7213:
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Summary: Exception while copying Hadoop config files due to
permission issues
Key: SPARK-7213
URL: https://issues.apache.org/jira/browse/SPARK-7213
Project: Spark
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Nishkam Ravi commented on SPARK-7672:
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In translating deprecated
Nishkam Ravi created SPARK-7672:
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Summary: Number format exception with
spark.kryoserializer.buffer.mb
Key: SPARK-7672
URL: https://issues.apache.org/jira/browse/SPARK-7672
Project: Spark
Nishkam Ravi created SPARK-7988:
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Summary: Mechanism to control receiver scheduling
Key: SPARK-7988
URL: https://issues.apache.org/jira/browse/SPARK-7988
Project: Spark
Issue Type: New
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Nishkam Ravi commented on SPARK-7959:
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I see. There may be some confusion with regards
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Nishkam Ravi commented on SPARK-7988:
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Receiver.preferredLocation already helps to
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Nishkam Ravi commented on SPARK-7988:
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Feel free to assign this JIRA to me if needed.
Nishkam Ravi created SPARK-7959:
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Summary: Uneven distribution of receivers in the cluster
Key: SPARK-7959
URL: https://issues.apache.org/jira/browse/SPARK-7959
Project: Spark
Issue Type: Bug
Nishkam Ravi created SPARK-7960:
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Summary: Serialization problem when multiple receivers are
specified in a loop
Key: SPARK-7960
URL: https://issues.apache.org/jira/browse/SPARK-7960
Project: Spark
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Nishkam Ravi updated SPARK-7959:
Attachment: Screen Shot 2015-05-29 at 3.52.01 PM.png
Uneven distribution of receivers in the
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Nishkam Ravi commented on SPARK-7960:
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Yep, the problem persists.
Serialization
Nishkam Ravi created SPARK-11278:
Summary: PageRank fails with unified memory manager
Key: SPARK-11278
URL: https://issues.apache.org/jira/browse/SPARK-11278
Project: Spark
Issue Type: Bug
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Nishkam Ravi commented on SPARK-6234:
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The regression in breeze has been fixed:
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Nishkam Ravi commented on SPARK-11278:
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Yeah, the problem goes away with useLegacyMode = true.
In
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Nishkam Ravi edited comment on SPARK-11278 at 10/24/15 12:05 AM:
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Yeah,
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Nishkam Ravi closed SPARK-11635.
> Avoid Guava version dependency for Hashcodes
>
>
>
Nishkam Ravi created SPARK-11635:
Summary: Avoid Guava version dependency for Hashcodes
Key: SPARK-11635
URL: https://issues.apache.org/jira/browse/SPARK-11635
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-11635?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14999308#comment-14999308
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Nishkam Ravi commented on SPARK-11635:
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I see. So we end up with a dependency either way. HashCode
Nishkam Ravi created SPARK-11708:
Summary: 20-25% performance regression in TeraSort
Key: SPARK-11708
URL: https://issues.apache.org/jira/browse/SPARK-11708
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-11648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nishkam Ravi resolved SPARK-11648.
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Resolution: Fixed
> IllegalReferenceCountException in Spark workloads
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https://issues.apache.org/jira/browse/SPARK-11648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15004976#comment-15004976
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Nishkam Ravi commented on SPARK-11648:
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The updated patch seems to have resolved this issue. Closing
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https://issues.apache.org/jira/browse/SPARK-11648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15001291#comment-15001291
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Nishkam Ravi commented on SPARK-11648:
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The two issues are closely related, not sure if they are
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https://issues.apache.org/jira/browse/SPARK-11278?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14999743#comment-14999743
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Nishkam Ravi commented on SPARK-11278:
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Would it make sense to set useLegacyMode to true for 1.6
Nishkam Ravi created SPARK-11648:
Summary: IllegalReferenceCountException in Spark workloads
Key: SPARK-11648
URL: https://issues.apache.org/jira/browse/SPARK-11648
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-11648?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15000103#comment-15000103
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Nishkam Ravi commented on SPARK-11648:
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Traced this back to 'stream data using network lib' commit
Nishkam Ravi created SPARK-11501:
Summary: spark.rpc config not propagated to executors
Key: SPARK-11501
URL: https://issues.apache.org/jira/browse/SPARK-11501
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14618362#comment-14618362
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Nishkam Ravi commented on SPARK-8881:
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There's more to it. Consider the following:
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14618369#comment-14618369
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Nishkam Ravi commented on SPARK-8881:
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This isn't the best example because the third
Nishkam Ravi created SPARK-8881:
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Summary: Scheduling fails if num_executors num_workers
Key: SPARK-8881
URL: https://issues.apache.org/jira/browse/SPARK-8881
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14617732#comment-14617732
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Nishkam Ravi commented on SPARK-8881:
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No that's not the problem.
You have 4 workers
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