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Andrew Or commented on SPARK-3490:
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Fixed in https://github.com/apache/spark/pull/2363
>
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Andrew Or closed SPARK-1047.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> Ability to disable the spark ui ser
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Andrew Or updated SPARK-3490:
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Fix Version/s: 1.2.0
1.1.1
> Alleviate port collisions during tests
> -
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Andrew Or closed SPARK-3429.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Andrew Ash
https:/
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Andrew Or commented on SPARK-2482:
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Fixed in https://github.com/apache/spark/pull/1330
>
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Andrew Or closed SPARK-2482.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Guoqiang Li
Target Version/s: 1
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Andrew Or commented on SPARK-3490:
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This still needs to be back ported into branch-1.1
>
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Andrew Or updated SPARK-3490:
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Fix Version/s: (was: 1.1.1)
> Alleviate port collisions during tests
> ---
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Andrew Or closed SPARK-3498.
Resolution: Duplicate
Assignee: Tathagata Das
This is the cause of SPARK-3495, and the fix for both is
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Andrew Or closed SPARK-3465.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> Task metrics are not aggregated cor
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https://issues.apache.org/jira/browse/SPARK-3187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3187:
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Issue Type: Sub-task (was: Improvement)
Parent: SPARK-3492
> Refactor and cleanup Yarn allocator
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Andrew Or commented on SPARK-3492:
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Thanks, I've added it to the list.
> Clean up Yarn i
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Andrew Or commented on SPARK-3107:
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I see. Yes, setting it to an empty value is semantica
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Andrew Or closed SPARK-1906.
Resolution: Fixed
Fix Version/s: 1.1.0
Assignee: Andrew Or
This is fixed in https://github.c
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Andrew Or closed SPARK-1908.
Resolution: Won't Fix
Assignee: Andrew Or
As described in the comment of https://github.com/apache/spa
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Andrew Or closed SPARK-1909.
Resolution: Fixed
Fix Version/s: 1.1.0
Assignee: Andrew Or
Also fixed in https://github.com/
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Andrew Or closed SPARK-1131.
Resolution: Fixed
--args is now deprecated. We use --arg instead.
> Better document the --args option for y
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Andrew Or updated SPARK-3464:
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Target Version/s: 1.2.0
Affects Version/s: 1.1.0
Assignee: Andrew Or
> Graceful decommis
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https://issues.apache.org/jira/browse/SPARK-2714?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-2714.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
> DAGScheduler should log jo
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https://issues.apache.org/jira/browse/SPARK-1201?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-1201:
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Target Version/s: 1.2.0
Fix Version/s: (was: 1.2.0)
> Do not materialize partitions whenever po
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https://issues.apache.org/jira/browse/SPARK-1761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-1761:
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Target Version/s: 1.2.0
Fix Version/s: (was: 1.2.0)
> Add broadcast information on SparkUI stor
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https://issues.apache.org/jira/browse/SPARK-1762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-1762:
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Target Version/s: 1.2.0
Fix Version/s: (was: 1.2.0)
> Add functionality to pin RDDs in cache
>
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Andrew Or updated SPARK-2761:
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Fix Version/s: (was: 1.2.0)
> Merge similar code paths in ExternalSorter and EAOM
> --
Andrew Or created SPARK-3557:
Summary: Yarn client config prioritization is backwards
Key: SPARK-3557
URL: https://issues.apache.org/jira/browse/SPARK-3557
Project: Spark
Issue Type: Bug
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Andrew Or commented on SPARK-3490:
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Backported. Closing this.
> Alleviate port collision
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Andrew Or commented on SPARK-3560:
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[~sandyr] So is the fix simply to not set `spark.jars
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Andrew Or updated SPARK-3560:
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Target Version/s: 1.1.1, 1.2.0 (was: 1.1.1)
> In yarn-cluster mode, jars are distributed through multiple
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Andrew Or updated SPARK-3560:
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Affects Version/s: 1.1.0
> In yarn-cluster mode, jars are distributed through multiple mechanisms.
> -
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Andrew Or updated SPARK-3571:
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Assignee: Kousuke Saruta
> Spark standalone cluster mode doesn't work.
> -
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Andrew Or updated SPARK-3564:
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Assignee: Kousuke Saruta
> Display App ID on HistoryPage
> -
>
>
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Andrew Or updated SPARK-3567:
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Target Version/s: 1.2.0 (was: 1.1.1, 1.2.0)
> appId field in SparkDeploySchedulerBackend should be volati
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Andrew Or updated SPARK-3567:
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Fix Version/s: 1.2.0
> appId field in SparkDeploySchedulerBackend should be volatile
> ---
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Andrew Or updated SPARK-3567:
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Assignee: Kousuke Saruta
> appId field in SparkDeploySchedulerBackend should be volatile
> ---
Andrew Or created SPARK-3591:
Summary: Yarn cluster mode fires but does not forget
Key: SPARK-3591
URL: https://issues.apache.org/jira/browse/SPARK-3591
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-3591?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3591:
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Target Version/s: 1.2.0
> Yarn cluster mode fires but does not forget
> --
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https://issues.apache.org/jira/browse/SPARK-3340?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3340:
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Assignee: (was: Andrew Or)
> Deprecate ADD_JARS and ADD_FILES
>
>
>
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Andrew Or closed SPARK-3560.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Fixed by https://github.com/apache/sp
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Andrew Or reopened SPARK-3560:
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Assignee: Min Shen
Reopening just to reassign. Closing right afterwards, please disregard.
> In yarn-
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Andrew Or closed SPARK-3560.
Resolution: Fixed
> In yarn-cluster mode, the same jars are distributed through multiple
> mechanisms.
> --
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Andrew Or updated SPARK-3535:
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Target Version/s: 1.1.1, 1.2.0 (was: 1.1.1)
> Spark on Mesos not correctly setting heap overhead
> --
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Andrew Or commented on SPARK-3610:
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Hi all, I don't have the time to fix this, but this i
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Andrew Or updated SPARK-3606:
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Affects Version/s: 1.1.0
> Spark-on-Yarn AmIpFilter does not work with Yarn HA.
>
Andrew Or created SPARK-3651:
Summary: Consolidate executor maps in CoarseGrainedSchedulerBackend
Key: SPARK-3651
URL: https://issues.apache.org/jira/browse/SPARK-3651
Project: Spark
Issue Type:
Andrew Or created SPARK-3653:
Summary: SPARK_{DRIVER|EXECUTOR}_MEMORY is ignored in cluster mode
Key: SPARK-3653
URL: https://issues.apache.org/jira/browse/SPARK-3653
Project: Spark
Issue Type: I
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Andrew Or closed SPARK-3653.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> SPARK_{DRIVER|EXECUTOR}_MEMORY is i
Andrew Or created SPARK-3661:
Summary: spark.driver.memory is ignored in cluster mode
Key: SPARK-3661
URL: https://issues.apache.org/jira/browse/SPARK-3661
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-1853?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-1853.
Resolution: Fixed
Fix Version/s: 1.1.1
Target Version/s: 1.1.1, 1.2.0 (was: 1.2.0)
> Show
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Andrew Or updated SPARK-3682:
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Target Version/s: 1.2.0
Affects Version/s: 1.1.0
> Add helpful warnings to the UI
> -
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Andrew Or updated SPARK-3678:
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Affects Version/s: (was: 1.2.0)
1.1.0
> Yarn app name reported in RM is differe
Andrew Or created SPARK-3684:
Summary: Can't configure local dirs in Yarn mode
Key: SPARK-3684
URL: https://issues.apache.org/jira/browse/SPARK-3684
Project: Spark
Issue Type: Bug
Compo
Andrew Or created SPARK-3685:
Summary: Spark's local dir scheme is not configurable
Key: SPARK-3685
URL: https://issues.apache.org/jira/browse/SPARK-3685
Project: Spark
Issue Type: Bug
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Andrew Or commented on SPARK-3685:
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Note that this is not meaningful unless we also chang
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Andrew Or updated SPARK-3661:
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Priority: Critical (was: Major)
> spark.driver.memory is ignored in cluster mode
> --
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Andrew Or closed SPARK-3639.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Aniket
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Andrew Or closed SPARK-3476.
Resolution: Fixed
Assignee: Andrew Or
> Yarn ClientBase.validateArgs memory checks wrong
> ---
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Andrew Or commented on SPARK-3685:
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[~farrellee] One of the concerns for SPARK-3174 is th
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Andrew Or updated SPARK-3685:
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Summary: Spark's local dir should accept only local paths (was: Spark's
local dir scheme is not configura
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https://issues.apache.org/jira/browse/SPARK-3685?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3685:
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Component/s: Spark Core
> Spark's local dir should accept only local paths
> -
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Andrew Or commented on SPARK-3685:
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Yeah there will be a design doc soon on the possible
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Andrew Or commented on SPARK-3685:
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Not sure if I fully understand what you mean. If I'm
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Andrew Or closed SPARK-3734.
Resolution: Fixed
> DriverRunner should not read SPARK_HOME from submitter's environment
> -
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Andrew Or closed SPARK-3734.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Target Version/s: 1.1.1,
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Andrew Or reopened SPARK-3734:
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> DriverRunner should not read SPARK_HOME from submitter's environment
> ---
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Andrew Or updated SPARK-3627:
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Affects Version/s: (was: 1.2.0)
1.1.0
> spark on yarn reports success even thou
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Andrew Or commented on SPARK-3627:
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Did this problem not exist in 1.1? I vaguely remember
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Andrew Or commented on SPARK-3627:
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Ok, sounds good.
> spark on yarn reports success eve
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Andrew Or closed SPARK-3755.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: wangfei
> Do not bind port 1 - 1024 to serv
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Andrew Or updated SPARK-2626:
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Assignee: Sean Owen
> Stop SparkContext in all examples
> -
>
>
Andrew Or created SPARK-3767:
Summary: Support wildcard in Spark properties
Key: SPARK-3767
URL: https://issues.apache.org/jira/browse/SPARK-3767
Project: Spark
Issue Type: New Feature
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Andrew Or closed SPARK-3755.
Resolution: Fixed
Fix Version/s: 1.1.1
> Do not bind port 1 - 1024 to server in spark
> -
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Andrew Or closed SPARK-3759.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Eric Ei
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https://issues.apache.org/jira/browse/SPARK-2058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-2058.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> SPARK_CONF_DIR should override all
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Andrew Or updated SPARK-2058:
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Assignee: Eugen Cepoi
> SPARK_CONF_DIR should override all present configs
> -
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Andrew Or commented on SPARK-2058:
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To give a quick update, this change has not made it t
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Andrew Or updated SPARK-3696:
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Assignee: WangTaoTheTonic
> Do not override user-defined conf_dir in spark-config.sh
> ---
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Andrew Or closed SPARK-3696.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Target Version/s: 1.1.1,
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https://issues.apache.org/jira/browse/SPARK-2778?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-2778.
Resolution: Fixed
Target Version/s: 1.2.0
> Add unit tests for Yarn integration
>
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Andrew Or updated SPARK-3710:
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Affects Version/s: 1.2.0
> YARN integration test is flaky
> --
>
>
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Andrew Or closed SPARK-3710.
Resolution: Fixed
Fix Version/s: 1.2.0
> YARN integration test is flaky
> ---
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Andrew Or commented on SPARK-3710:
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https://github.com/apache/spark/pull/2605
> YARN int
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Andrew Or closed SPARK-3535.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> Spark on Mesos not correctly settin
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https://issues.apache.org/jira/browse/SPARK-3535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3535:
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Assignee: Brenden Matthews
> Spark on Mesos not correctly setting heap overhead
>
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https://issues.apache.org/jira/browse/SPARK-3775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3775:
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Affects Version/s: 1.1.0
> Not suitable error message in spark-shell.cmd
> ---
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Andrew Or closed SPARK-3775.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Masayos
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https://issues.apache.org/jira/browse/SPARK-3774?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-3774.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Masayos
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https://issues.apache.org/jira/browse/SPARK-3606?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3606:
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Fix Version/s: 1.2.0
> Spark-on-Yarn AmIpFilter does not work with Yarn HA.
>
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Andrew Or updated SPARK-3606:
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Target Version/s: 1.1.1, 1.2.0
Affects Version/s: (was: 1.2.0)
> Spark-on-Yarn AmIpFilter does no
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Andrew Or updated SPARK-3606:
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Affects Version/s: 1.2.0
> Spark-on-Yarn AmIpFilter does not work with Yarn HA.
>
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https://issues.apache.org/jira/browse/SPARK-3763?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-3763.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Kousuke Saruta
> The example of building wi
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https://issues.apache.org/jira/browse/SPARK-3597?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3597:
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Assignee: Brenden Matthews
> MesosSchedulerBackend does not implement `killTask`
> ---
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Andrew Or closed SPARK-3597.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.1.1, 1.2.0
> MesosSchedulerBacke
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Andrew Or commented on SPARK-3597:
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Fixed by https://github.com/apache/spark/pull/2453
>
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Andrew Or reassigned SPARK-3797:
Assignee: Andrew Or
> Integrate shuffle service in YARN's pluggable shuffle
> -
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https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3174:
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Attachment: dynamic-scaling-executors-10-6-14.pdf
> Provide elastic scaling within a Spark application
> -
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https://issues.apache.org/jira/browse/SPARK-3822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3822:
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Issue Type: Sub-task (was: Bug)
Parent: SPARK-3174
> Expose a mechanism for SparkContext to ask f
Andrew Or created SPARK-3822:
Summary: Expose a mechanism for SparkContext to ask for / remove
Yarn containers
Key: SPARK-3822
URL: https://issues.apache.org/jira/browse/SPARK-3822
Project: Spark
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Andrew Or updated SPARK-3174:
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Description:
A common complaint with Spark in a multi-tenant environment is that
applications have a fixe
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https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3174:
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Description:
A common complaint with Spark in a multi-tenant environment is that
applications have a fixe
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https://issues.apache.org/jira/browse/SPARK-3174?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14160914#comment-14160914
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Andrew Or commented on SPARK-3174:
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Hi all, I have attached an updated design doc that de
Andrew Or created SPARK-3825:
Summary: Log more information when unrolling a block fails
Key: SPARK-3825
URL: https://issues.apache.org/jira/browse/SPARK-3825
Project: Spark
Issue Type: Bug
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