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Andrew Or closed SPARK-3493.
Resolution: Won't Fix
False alarm. We only ever call `ensureFreeSpace` if we can't reserve more
memory. [~t
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Andrew Or commented on SPARK-3174:
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@[~sandyr] Replying inline:
bq. I would expect prope
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Andrew Or edited comment on SPARK-3174 at 10/7/14 2:20 AM:
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@[~s
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Andrew Or commented on SPARK-3174:
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@[~tgraves] Replying inline:
bq. Just to make sure,
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Andrew Or commented on SPARK-3797:
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Thanks for detailing the considerations Sandy. I agre
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Andrew Or updated SPARK-3808:
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Affects Version/s: (was: 1.1.0)
1.2.0
> PySpark fails to start in Windows
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Andrew Or closed SPARK-3808.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Masayoshi TSUZUKI
Target Versio
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Andrew Or commented on SPARK-3808:
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Hey [~tsudukim] can you verify that pyspark, spark-sh
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Andrew Or closed SPARK-3825.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
> Log more information when unrolling
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Andrew Or updated SPARK-3661:
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Summary: spark.*.memory is ignored in cluster mode (was:
spark.driver.memory is ignored in cluster mode)
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Andrew Or updated SPARK-3661:
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Description: This is related to
https://issues.apache.org/jira/browse/SPARK-3653, but for the config. Note
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Andrew Or updated SPARK-3661:
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Description: This is related to
https://issues.apache.org/jira/browse/SPARK-3653, but for the config. Note
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Andrew Or updated SPARK-3777:
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Assignee: Shixiong Zhu
> Display "Executor ID" for Tasks in Stage page
> -
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Andrew Or closed SPARK-3777.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Target Version/s: 1.1.1,
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Andrew Or closed SPARK-3829.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Kousuke Saruta
> M
Andrew Or created SPARK-3852:
Summary: Document spark.driver.extra* configs
Key: SPARK-3852
URL: https://issues.apache.org/jira/browse/SPARK-3852
Project: Spark
Issue Type: Bug
Componen
Andrew Or created SPARK-3859:
Summary: Use consistent config names for duration (with units!)
Key: SPARK-3859
URL: https://issues.apache.org/jira/browse/SPARK-3859
Project: Spark
Issue Type: Impr
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Andrew Or updated SPARK-3859:
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Description: There are many configs in Spark that refer to some unit of
time. However, from the first glan
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Andrew Or closed SPARK-3844.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Target Version/s: 1.1.1,
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Andrew Or updated SPARK-3795:
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Affects Version/s: 1.1.0
> Add scheduler hooks/heuristics for adding and removing executors
>
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Andrew Or commented on SPARK-3795:
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It's agnostic to the cluster manager, but for now we
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Andrew Or commented on SPARK-3445:
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Yes I have opened a PR to fix this: https://github.co
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Andrew Or edited comment on SPARK-3445 at 10/12/14 7:17 PM:
Lo
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Andrew Or updated SPARK-3445:
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Comment: was deleted
(was: Looks like there are a few API difference across the different alpha
branches
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Andrew Or commented on SPARK-3445:
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Looks like there are a few API difference across the
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Andrew Or edited comment on SPARK-3445 at 10/12/14 7:17 PM:
Ye
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Andrew Or commented on SPARK-3921:
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https://github.com/apache/spark/pull/2779
> WorkerWa
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Andrew Or updated SPARK-3921:
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Target Version/s: 1.2.0
Affects Version/s: 1.2.0
> WorkerWatcher in Standalone mode fail to come up d
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Andrew Or updated SPARK-3921:
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Comment: was deleted
(was: https://github.com/apache/spark/pull/2779)
> WorkerWatcher in Standalone mode
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Andrew Or edited comment on SPARK-3174 at 10/13/14 7:45 PM:
[~
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Andrew Or edited comment on SPARK-3174 at 10/13/14 7:45 PM:
[~
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Andrew Or edited comment on SPARK-3174 at 10/13/14 7:45 PM:
[~
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Andrew Or commented on SPARK-3174:
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[~vanzin]
bq. My first question I think is similar t
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Andrew Or edited comment on SPARK-3174 at 10/13/14 7:45 PM:
[~
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Andrew Or commented on SPARK-3174:
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[~sandyr]
bq. Consider the (common) case of a user ke
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Andrew Or commented on SPARK-3174:
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@[~sandyr] by quick-start do you mean adding all exec
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Andrew Or closed SPARK-3921.
Resolution: Fixed
Fix Version/s: 1.2.0
> WorkerWatcher in Standalone mode fail to come up due to inva
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Andrew Or commented on SPARK-3822:
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Hey [~praveenseluka] thanks for your work on this. Ho
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Andrew Or closed SPARK-3946.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Masayoshi TSUZUKI
Target Versio
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Andrew Or updated SPARK-3944:
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Component/s: Spark Core
Target Version/s: 1.2.0
Affects Version/s: 1.1.0
Fix Version
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Andrew Or closed SPARK-3944.
Resolution: Fixed
> Utils.resolveURI fails on upgrading scalaVersion to 2.11.2
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Andrew Or closed SPARK-3943.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Masayoshi TSUZUKI
Target Versio
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Andrew Or closed SPARK-2098.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
> All Spark processes should
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Andrew Or commented on SPARK-3957:
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Yeah my understanding is that broadcast blocks aren't
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Andrew Or closed SPARK-1761.
Resolution: Duplicate
> Add broadcast information on SparkUI storage tab
> -
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Andrew Or commented on SPARK-3957:
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Hey [~devl.development] are you planning to work on t
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Andrew Or commented on SPARK-1761:
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Closing in favor of SPARK-3957, which is more descrip
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Andrew Or closed SPARK-3923.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Aaron Davidson
Target Version/s
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Andrew Or closed SPARK-3941.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Zhang, Liye
Target Version/s: 1
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Andrew Or updated SPARK-3890:
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Affects Version/s: (was: 1.2.0)
1.1.0
> remove redundant spark.executor.memory
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Andrew Or closed SPARK-3890.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: WangTao
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Andrew Or updated SPARK-3890:
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Affects Version/s: 1.2.0
> remove redundant spark.executor.memory in doc
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Andrew Or updated SPARK-3067:
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Affects Version/s: 1.2.0
> JobProgressPage could not show Fair Scheduler Pools section sometimes
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Andrew Or closed SPARK-3067.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: YanTang Zhai
> JobProgressPage could not sh
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Andrew Or updated SPARK-3067:
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Affects Version/s: (was: 1.2.0)
1.1.0
> JobProgressPage could not show Fair Sch
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Andrew Or closed SPARK-3606.
Resolution: Fixed
Fix Version/s: 1.1.1
> Spark-on-Yarn AmIpFilter does not work with Yarn HA.
> -
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Andrew Or closed SPARK-3935.
Resolution: Fixed
Fix Version/s: 1.2.0
> Unused variable in PairRDDFunctions.scala
>
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Andrew Or closed SPARK-3935.
Resolution: Fixed
> Unused variable in PairRDDFunctions.scala
> -
>
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Andrew Or reopened SPARK-3935:
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Assignee: wangfei
> Unused variable in PairRDDFunctions.scala
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Andrew Or updated SPARK-3888:
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Affects Version/s: 1.1.0
> Limit the memory used by python worker
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Andrew Or updated SPARK-3822:
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Affects Version/s: 1.1.0
> Expose a mechanism for SparkContext to ask for / remove Yarn containers
> -
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Andrew Or updated SPARK-4010:
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Affects Version/s: 1.2.0
> Spark UI returns 500 in yarn-client mode
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Andrew Or closed SPARK-4010.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Target Version/s: 1.1.1,
Andrew Or created SPARK-4013:
Summary: Do not create multiple actor systems on each executor
Key: SPARK-4013
URL: https://issues.apache.org/jira/browse/SPARK-4013
Project: Spark
Issue Type: Bug
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Andrew Or updated SPARK-4013:
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Description: This causes many more error messages to be logged on the
driver than necessary when an execut
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Andrew Or updated SPARK-4013:
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Summary: Do not run multiple actor systems on each executor (was: Do not
create multiple actor systems on
Andrew Or created SPARK-4020:
Summary: Failed executor not properly removed if it has not run
tasks
Key: SPARK-4020
URL: https://issues.apache.org/jira/browse/SPARK-4020
Project: Spark
Issue Typ
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Andrew Or closed SPARK-3994.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
> countByKey / countByValue
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Andrew Or updated SPARK-3994:
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Affects Version/s: (was: 1.1.0)
1.0.0
> countByKey / countByValue do not go thr
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Andrew Or updated SPARK-3994:
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Affects Version/s: 1.1.0
> countByKey / countByValue do not go through Aggregator
> --
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Andrew Or updated SPARK-3877:
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Target Version/s: 1.1.1, 1.2.0
Affects Version/s: 1.1.0
Fix Version/s: 1.2.0
Assi
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Andrew Or updated SPARK-3877:
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Priority: Major (was: Minor)
> The exit code of spark-submit is still 0 when an yarn application fails
>
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Andrew Or closed SPARK-3877.
Resolution: Fixed
Fix Version/s: 1.1.1
> The exit code of spark-submit is still 0 when an yarn applic
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Andrew Or updated SPARK-4006:
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Fix Version/s: 1.2.0
> Spark Driver crashes whenever an Executor is registered twice
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Andrew Or updated SPARK-4006:
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Assignee: Tal Sliwowicz
> Spark Driver crashes whenever an Executor is registered twice
>
Andrew Or created SPARK-4071:
Summary: Unroll fails silently if BlockManager size is small
Key: SPARK-4071
URL: https://issues.apache.org/jira/browse/SPARK-4071
Project: Spark
Issue Type: Bug
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Andrew Or updated SPARK-4071:
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Description: In tests, we may want to have BlockManagers of size < 1MB
(spark.storage.unrollMemoryThreshol
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Andrew Or closed SPARK-2713.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Zhihui
Target Version/s: 1.2.0
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Andrew Or closed SPARK-4076.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Kousuke Saruta
> Parameter expansion in spa
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Andrew Or closed SPARK-4075.
Resolution: Fixed
Fix Version/s: 1.1.1
Assignee: Kousuke Saruta
Target Version/s
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Andrew Or closed SPARK-4013.
Resolution: Fixed
Fix Version/s: 1.2.0
> Do not run multiple actor systems on each executor
> ---
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Andrew Or updated SPARK-4067:
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Component/s: Spark Core
> refactor ExecutorUncaughtExceptionHandler as a general one as it is used like
>
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Andrew Or closed SPARK-4067.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Nan Zhu
Target Version/s: 1.2.0
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Andrew Or updated SPARK-4006:
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Fix Version/s: 1.1.1
> Spark Driver crashes whenever an Executor is registered twice
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https://issues.apache.org/jira/browse/SPARK-2105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14184620#comment-14184620
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Andrew Or commented on SPARK-2105:
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Hey Josh I think this was fixed by this commit:
https
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https://issues.apache.org/jira/browse/SPARK-3970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3970:
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Affects Version/s: 1.1.0
> Remove duplicate removal of local dirs
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https://issues.apache.org/jira/browse/SPARK-3970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3970:
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Assignee: Liang-Chi Hsieh
> Remove duplicate removal of local dirs
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https://issues.apache.org/jira/browse/SPARK-3970?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-3970.
Resolution: Fixed
Fix Version/s: 1.2.0
Target Version/s: 1.2.0
> Remove duplicate removal o
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https://issues.apache.org/jira/browse/SPARK-3611?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-3611:
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Affects Version/s: 1.0.0
> Show number of cores for each executor in application web UI
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https://issues.apache.org/jira/browse/SPARK-4110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4110.
Resolution: Fixed
Fix Version/s: 1.2.0
1.1.1
Assignee: Kousuke
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https://issues.apache.org/jira/browse/SPARK-4096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4096:
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Affects Version/s: 1.1.0
> let ApplicationMaster accept executor memory argument in same format as JVM
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https://issues.apache.org/jira/browse/SPARK-4096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4096.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: WangTaoTheTonic
Target Version/
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https://issues.apache.org/jira/browse/SPARK-3657?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-3657.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Kousuke Saruta
> yarn alpha YarnRMClientImp
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https://issues.apache.org/jira/browse/SPARK-4089?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4089.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Kousuke Saruta
> The version number of Spar
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https://issues.apache.org/jira/browse/SPARK-4065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4065.
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-4065?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4065:
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Assignee: Michael Griffiths
> pyspark will not use ipython on Windows
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https://issues.apache.org/jira/browse/SPARK-4058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4058.
Resolution: Fixed
Fix Version/s: 1.2.0
Assignee: Kousuke Saruta
> Log file name is hard code
Andrew Or created SPARK-4126:
Summary: Do not set `spark.executor.instances` if not needed
(yarn-cluster)
Key: SPARK-4126
URL: https://issues.apache.org/jira/browse/SPARK-4126
Project: Spark
Iss
Andrew Or created SPARK-4134:
Summary: Tone down scary executor lost messages when killing on
purpose
Key: SPARK-4134
URL: https://issues.apache.org/jira/browse/SPARK-4134
Project: Spark
Issue T
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https://issues.apache.org/jira/browse/SPARK-4136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4136:
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Affects Version/s: (was: 1.1.0)
1.2.0
> Under dynamic allocation, cancel outsta
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