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Andrew Or closed SPARK-3071.
Resolution: Fixed
Fix Version/s: 1.5.0
> Increase default driver memory
> ---
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Andrew Or closed SPARK-8687.
Resolution: Fixed
Assignee: SaintBacchus
Fix Version/s: 1.5.0
Target Version/s:
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Andrew Or updated SPARK-8687:
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Fix Version/s: 1.4.2
> Spark on yarn-client mode can't send `spark.yarn.credentials.file` to
> executor.
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Andrew Or updated SPARK-8687:
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Target Version/s: 1.5.0, 1.4.2 (was: 1.5.0)
> Spark on yarn-client mode can't send `spark.yarn.credential
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Andrew Or updated SPARK-8781:
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Summary: Published POMs are no longer effective POMs (was: Pusblished POMs
are no longer effective POMs)
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Andrew Or updated SPARK-8781:
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Assignee: Andrew Or
> Published POMs are no longer effective POMs
> --
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Andrew Or commented on SPARK-8781:
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It was needed because of a bug in the maven shade plu
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Andrew Or commented on SPARK-2319:
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[~KaiXinXIaoLei] the negative active tasks is fixed i
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Andrew Or updated SPARK-8581:
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Target Version/s: 1.5.0 (was: 1.5.0, 1.4.2)
> Simplify and clean up the checkpointing code
>
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Andrew Or closed SPARK-8581.
Resolution: Fixed
Fix Version/s: 1.5.0
> Simplify and clean up the checkpointing code
> -
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Andrew Or updated SPARK-8584:
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Target Version/s: 1.5.0 (was: 1.5.0, 1.4.2)
> Better exception message if invalid checkpoint dir is speci
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Andrew Or closed SPARK-8584.
Resolution: Fixed
Fix Version/s: 1.5.0
> Better exception message if invalid checkpoint dir is specif
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Andrew Or updated SPARK-8781:
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Affects Version/s: (was: 1.4.1)
1.4.0
Target Version/s: 1.3.2, 1.4.1, 1.5.0
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Andrew Or commented on SPARK-8781:
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Thanks for catching this [~k.shaposhni...@gmail.com].
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Andrew Or updated SPARK-8781:
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Priority: Blocker (was: Major)
> Published POMs are no longer effective POMs
> --
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Andrew Or updated SPARK-8578:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Should ignore user defined output committer whe
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Andrew Or updated SPARK-8746:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.4.1)
> Need to update download link for Hive 0.13.1 jars (HiveComp
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Andrew Or updated SPARK-8746:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Need to update download link for Hive 0.13.1 ja
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Andrew Or updated SPARK-8687:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Spark on yarn-client mode can't send `spark.yar
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Andrew Or updated SPARK-8687:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> Spark on yarn-client mode can't send `spark.yarn.cre
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Andrew Or updated SPARK-8787:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Change the parameter order of @deprecated in p
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Andrew Or updated SPARK-8754:
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Fix Version/s: (was: 1.4.2)
1.4.1
> YarnClientSchedulerBackend doesn't stop gracefu
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Andrew Or updated SPARK-7820:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Java8-tests suite compile error under SBT
> ---
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Andrew Or updated SPARK-8769:
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Fix Version/s: (was: 1.4.2)
1.4.1
> toLocalIterator should mention it results in ma
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Andrew Or updated SPARK-8754:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> YarnClientSchedulerBackend doesn't stop gracefully i
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Andrew Or updated SPARK-8769:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> toLocalIterator should mention it results in many jo
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Andrew Or updated SPARK-8766:
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Fix Version/s: 1.4.1
> DataFrame Python API should work with column which has non-ascii character in
> it
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Andrew Or updated SPARK-3444:
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Fix Version/s: (was: 1.4.0)
1.4.1
> Provide a way to easily change the log level in
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Andrew Or updated SPARK-8766:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> DataFrame Python API should work with column which h
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Andrew Or updated SPARK-8766:
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Target Version/s: 1.5.0, 1.4.2 (was: 1.3.2, 1.5.0, 1.4.2)
> DataFrame Python API should work with column
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Andrew Or updated SPARK-8621:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> crosstab exception when one of the value is empty
>
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Andrew Or updated SPARK-8535:
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Fix Version/s: 1.4.1
> PySpark : Can't create DataFrame from Pandas dataframe with no explicit
> column n
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Andrew Or updated SPARK-8621:
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Fix Version/s: (was: 1.4.2)
1.4.1
> crosstab exception when one of the value is emp
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Andrew Or updated SPARK-8736:
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Target Version/s: 1.4.1, 1.5.0 (was: 1.5.0, 1.4.2)
> GBTRegressionModel thresholds prediction but should
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Andrew Or updated SPARK-8372:
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Fix Version/s: (was: 1.4.2)
1.4.1
> History server shows incorrect information for
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Andrew Or updated SPARK-8563:
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Target Version/s: 1.0.3, 1.1.2, 1.2.3, 1.3.2, 1.4.1, 1.5.0 (was: 1.0.3,
1.1.2, 1.2.3, 1.3.2, 1.5.0, 1.4.2
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Andrew Or updated SPARK-8563:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Bug that IndexedRowMatrix.computeSVD() yields t
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Andrew Or updated SPARK-8736:
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Fix Version/s: (was: 1.4.2)
1.4.1
> GBTRegressionModel thresholds prediction but sh
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Andrew Or updated SPARK-8628:
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Fix Version/s: (was: 1.4.2)
1.4.1
> Race condition in AbstractSparkSQLParser.parse
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Andrew Or updated SPARK-8535:
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Fix Version/s: 1.3.2
> PySpark : Can't create DataFrame from Pandas dataframe with no explicit
> column n
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Andrew Or closed SPARK-8781.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.1
1.3.2
> Published
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Andrew Or updated SPARK-1564:
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Fix Version/s: 1.5.0
> Add JavaScript into Javadoc to turn ::Experimental:: and such into badges
> ---
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Andrew Or closed SPARK-7835.
Resolution: Fixed
Fix Version/s: 1.5.0
> Refactor HeartbeatReceiverSuite for coverage and clean up
>
Andrew Or created SPARK-8819:
Summary: Spark doesn't compile with maven 3.3.x
Key: SPARK-8819
URL: https://issues.apache.org/jira/browse/SPARK-8819
Project: Spark
Issue Type: Bug
Compon
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Andrew Or updated SPARK-8819:
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Description:
Simple reproduction: Install maven 3.3.3 and run "build/mvn clean package
-DskipTests"
This
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Andrew Or closed SPARK-5222.
Resolution: Won't Fix
> YARN client and cluster modes have different app name behaviors
> --
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Andrew Or closed SPARK-8016.
Resolution: Won't Fix
See resolution for SPARK-5012 to see why this is a won't fix.
> YARN cluster / client
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Andrew Or edited comment on SPARK-8016 at 7/6/15 6:42 PM:
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See re
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Andrew Or closed SPARK-8656.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> Spark Standalone master js
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Andrew Or closed SPARK-6707.
Resolution: Fixed
Fix Version/s: 1.5.0
> Mesos Scheduler should allow the user to specify constraints
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Andrew Or updated SPARK-8656:
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Assignee: thegiive
> Spark Standalone master json API's worker number is not match web UI number
> ---
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Andrew Or updated SPARK-6707:
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Assignee: Ankur Chauhan
> Mesos Scheduler should allow the user to specify constraints based on slave
> a
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Andrew Or commented on SPARK-8781:
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This was later reverted in master, branch-1.4 and bra
Andrew Or created SPARK-8910:
Summary: MiMa test is flaky because it starts a SQLContext
Key: SPARK-8910
URL: https://issues.apache.org/jira/browse/SPARK-8910
Project: Spark
Issue Type: Bug
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Andrew Or updated SPARK-8910:
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Description:
I've seen this a many times on GitHub. At the very least we should disable the
SparkUI to pr
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Andrew Or updated SPARK-8910:
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Description:
I've seen this many times on GitHub. At the very least we should disable the
SparkUI to prev
Andrew Or created SPARK-8911:
Summary: Local mode endless heartbeat warnings
Key: SPARK-8911
URL: https://issues.apache.org/jira/browse/SPARK-8911
Project: Spark
Issue Type: Bug
Compone
Andrew Or created SPARK-8939:
Summary: YARN EC2
Key: SPARK-8939
URL: https://issues.apache.org/jira/browse/SPARK-8939
Project: Spark
Issue Type: Bug
Components: EC2
Affects Version
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Andrew Or updated SPARK-8939:
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Description:
I just set it up from scratch using the spark-ec2 script. Then I ran
{code}
bin/spark-shell -
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Andrew Or updated SPARK-8939:
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Summary: YARN EC2 default setting fails with IllegalArgumentException
(was: YARN EC2 does not )
> YARN E
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Andrew Or updated SPARK-8939:
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Environment: (was: I just set it up from scratch using the spark-ec2
script. Then I ran
{code}
bin/spa
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Andrew Or updated SPARK-8939:
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Summary: YARN EC2 does not (was: YARN EC2 )
> YARN EC2 does not
> --
>
>
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Andrew Or commented on SPARK-8939:
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[~shivaram]
> YARN EC2 default setting fails with Il
Andrew Or created SPARK-8958:
Summary: Dynamic allocation: change cached executor timeout to
infinity
Key: SPARK-8958
URL: https://issues.apache.org/jira/browse/SPARK-8958
Project: Spark
Issue T
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Andrew Or commented on SPARK-8939:
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It's just the default. No particular reason from my u
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Andrew Or updated SPARK-8953:
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Summary: SPARK_EXECUTOR_CORES is not read in SparkSubmit (was:
SPARK_EXECUTOR_CORES has no effect to dyn
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Andrew Or updated SPARK-8953:
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Affects Version/s: 1.0.0
> SPARK_EXECUTOR_CORES has no effect to dynamic executor allocation function
> -
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Andrew Or updated SPARK-8953:
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Priority: Trivial (was: Minor)
> SPARK_EXECUTOR_CORES is not read in SparkSubmit
> --
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Andrew Or closed SPARK-8953.
Resolution: Fixed
Assignee: meiyoula
Fix Version/s: 1.5.0
Target Version/s: 1.5.
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Andrew Or updated SPARK-7419:
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Assignee: Shixiong Zhu (was: Tathagata Das)
> Flaky test: o.a.s.streaming.CheckpointSuite
> -
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Andrew Or closed SPARK-7419.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.2
Target Version/s: 1.4.2,
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Andrew Or commented on SPARK-2017:
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Partially resolved by https://github.com/apache/spark
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Andrew Or updated SPARK-2017:
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Fix Version/s: 1.5.0
1.4.2
> web ui stage page becomes unresponsive when the number of
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Andrew Or edited comment on SPARK-2017 at 7/9/15 8:24 PM:
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Resolv
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Andrew Or closed SPARK-2017.
Resolution: Fixed
Assignee: Andrew Or
Target Version/s: 1.4.2, 1.5.0
> web ui stage pa
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Andrew Or updated SPARK-2017:
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Affects Version/s: 1.0.0
> web ui stage page becomes unresponsive when the number of tasks is large
>
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https://issues.apache.org/jira/browse/SPARK-6287?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-6287:
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Affects Version/s: 1.2.0
> Add support for dynamic allocation in the Mesos coarse-grained scheduler
>
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Andrew Or updated SPARK-8873:
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Priority: Critical (was: Minor)
> Support cleaning up shuffle files for drivers launched with Mesos
> ---
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Andrew Or closed SPARK-6287.
Resolution: Fixed
Assignee: Iulian Dragos
Fix Version/s: 1.5.0
Target Version/s:
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Andrew Or updated SPARK-8873:
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Summary: Support cleaning up shuffle files when using shuffle service in
Mesos (was: Support cleaning up
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Andrew Or updated SPARK-8873:
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Affects Version/s: 1.5.0
> Support cleaning up shuffle files when using shuffle service in Mesos
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https://issues.apache.org/jira/browse/SPARK-8873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8873:
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Target Version/s: 1.5.0
> Support cleaning up shuffle files when using shuffle service in Mesos
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https://issues.apache.org/jira/browse/SPARK-8873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8873:
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Assignee: Timothy Chen
> Support cleaning up shuffle files when using shuffle service in Mesos
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https://issues.apache.org/jira/browse/SPARK-8873?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8873:
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Affects Version/s: (was: 1.5.0)
1.2.0
> Support cleaning up shuffle files when
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https://issues.apache.org/jira/browse/SPARK-6287?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14621204#comment-14621204
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Andrew Or commented on SPARK-6287:
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Note that this feature is not complete. The shuffle f
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https://issues.apache.org/jira/browse/SPARK-8958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-8958.
Resolution: Fixed
Fix Version/s: 1.5.0
> Dynamic allocation: change cached executor timeout to infini
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https://issues.apache.org/jira/browse/SPARK-8675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-8675.
Resolution: Fixed
Assignee: Min Zhou
Fix Version/s: 1.5.0
Target Version/s: 1.5.
Andrew Or created SPARK-8987:
Summary: Increase test coverage of DAGScheduler
Key: SPARK-8987
URL: https://issues.apache.org/jira/browse/SPARK-8987
Project: Spark
Issue Type: Bug
Compon
Andrew Or created SPARK-9025:
Summary: Storage tab shows no blocks for cached RDDs
Key: SPARK-9025
URL: https://issues.apache.org/jira/browse/SPARK-9025
Project: Spark
Issue Type: Bug
C
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https://issues.apache.org/jira/browse/SPARK-8582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8582:
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Assignee: Shixiong Zhu
Target Version/s: 1.6.0 (was: )
> Optimize checkpointing to avoid comp
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https://issues.apache.org/jira/browse/SPARK-10986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-10986:
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Affects Version/s: 1.5.2
Target Version/s: 1.6.0
> ClassNotFoundException when running on Client m
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https://issues.apache.org/jira/browse/SPARK-7970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-7970:
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Assignee: Nitin Goyal
Target Version/s: 1.6.0
> Optimize code for SQL queries fired on Union o
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https://issues.apache.org/jira/browse/SPARK-2?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-2.
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Resolution: Fixed
Fix Version/s: 1.6.0
> DAG visualization: display RDD callsite
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https://issues.apache.org/jira/browse/SPARK-10790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-10790:
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Affects Version/s: (was: 1.5.1)
1.5.0
> Dynamic Allocation does not request
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https://issues.apache.org/jira/browse/SPARK-10790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-10790:
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Affects Version/s: (was: 1.5.0)
1.5.1
> Dynamic Allocation does not request
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https://issues.apache.org/jira/browse/SPARK-10471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-10471.
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Resolution: Fixed
Assignee: Felix Bechstein
Fix Version/s: 1.6.0
Target V
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https://issues.apache.org/jira/browse/SPARK-11296?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-11296.
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Resolution: Duplicate
> FutureAction.onComplete consumes a thread while waiting for job
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https://issues.apache.org/jira/browse/SPARK-10444?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-10444:
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Target Version/s: 1.7.0 (was: 1.6.0)
> Remove duplication in Mesos schedulers
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https://issues.apache.org/jira/browse/SPARK-10918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or resolved SPARK-10918.
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Resolution: Duplicate
> Task failed because executor kill by driver
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https://issues.apache.org/jira/browse/SPARK-9552?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-9552:
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Summary: Dynamic allocation kills busy executors on race condition (was:
Add force control for killExecut
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