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Andrew Or updated SPARK-9426:
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Attachment: Screen Shot 2015-07-28 at 7.03.09 PM.png
> Job page DAG visualization is not shown
> -
Andrew Or created SPARK-9426:
Summary: Job page DAG visualization is not shown
Key: SPARK-9426
URL: https://issues.apache.org/jira/browse/SPARK-9426
Project: Spark
Issue Type: Bug
Compo
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Andrew Or commented on SPARK-9092:
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To add to [~sandyryza]'s comment, I think there's act
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Andrew Or edited comment on SPARK-7268 at 7/28/15 6:04 PM:
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By t
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Andrew Or commented on SPARK-7268:
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I just re-closed this as "Cannot reproduce" since tha
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Andrew Or commented on SPARK-7268:
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By the way [~yizhou] is this still an issue with the
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Andrew Or reopened SPARK-7268:
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> [Spark SQL] Throw 'Shutdown hooks cannot be modified during shutdown' on YARN
> --
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Andrew Or closed SPARK-7268.
Resolution: Cannot Reproduce
> [Spark SQL] Throw 'Shutdown hooks cannot be modified during shutdown' on YARN
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https://issues.apache.org/jira/browse/SPARK-3684?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-3684.
Resolution: Won't Fix
> Can't configure local dirs in Yarn mode
> ---
>
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Andrew Or commented on SPARK-3684:
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OK, let's close this then. My original use case was f
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Andrew Or closed SPARK-9353.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.2
Target Version/s: 1.4.2,
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Andrew Or closed SPARK-9352.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.2
Target Version/s: 1.4.2,
Andrew Or created SPARK-9353:
Summary: Standalone scheduling memory requirement incorrect if
cores per executor is not set
Key: SPARK-9353
URL: https://issues.apache.org/jira/browse/SPARK-9353
Project: Sp
Andrew Or created SPARK-9352:
Summary: Add tests for standalone scheduling code
Key: SPARK-9352
URL: https://issues.apache.org/jira/browse/SPARK-9352
Project: Spark
Issue Type: Improvement
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8881:
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Fix Version/s: 1.5.0
1.4.2
> Standalone mode scheduling fails because cores assignment
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Andrew Or closed SPARK-8881.
Resolution: Fixed
> Standalone mode scheduling fails because cores assignment is not atomic
> --
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Andrew Or closed SPARK-9260.
Resolution: Fixed
Fix Version/s: 1.5.0
1.4.2
Target Version/s: 1.4.2,
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Andrew Or updated SPARK-9267:
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Description:
{code}
def stringifyPartialValue(partialValue: Any): String = "%s".format(partialValue)
def s
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Andrew Or updated SPARK-9267:
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Assignee: (was: Andrew Or)
> Remove highly unnecessary accumulators stringify methods
> --
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Andrew Or updated SPARK-9267:
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Description:
{code}
def stringifyPartialValue(partialValue: Any): String = "%s".format(partialValue)
def s
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Andrew Or updated SPARK-9267:
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Description:
{code}
def stringifyPartialValue(partialValue: Any): String = "%s".format(partialValue)
def s
Andrew Or created SPARK-9267:
Summary: Remove highly unnecessary accumulators stringify methods
Key: SPARK-9267
URL: https://issues.apache.org/jira/browse/SPARK-9267
Project: Spark
Issue Type: Bu
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Andrew Or updated SPARK-9260:
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Attachment: Screen Shot 2015-07-22 at 12.06.21 PM.png
> Standalone scheduling can overflow a worker with c
Andrew Or created SPARK-9260:
Summary: Standalone scheduling can overflow a worker with cores
Key: SPARK-9260
URL: https://issues.apache.org/jira/browse/SPARK-9260
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-9092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-9092:
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Affects Version/s: 1.2.0
> Make --num-executors compatible with dynamic allocation
> -
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Andrew Or updated SPARK-9092:
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Priority: Major (was: Minor)
> Make --num-executors compatible with dynamic allocation
>
Andrew Or created SPARK-9232:
Summary: Duplicate code in JSONRelation
Key: SPARK-9232
URL: https://issues.apache.org/jira/browse/SPARK-9232
Project: Spark
Issue Type: Improvement
Compon
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https://issues.apache.org/jira/browse/SPARK-5423?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-5423.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> ExternalAppendOnlyMap won'
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Andrew Or closed SPARK-4598.
Resolution: Fixed
Assignee: Shixiong Zhu
Fix Version/s: 1.5.0
Target Version/s:
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Andrew Or updated SPARK-7171:
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Assignee: Jacek Lewandowski
> Allow for more flexible use of metric sources
>
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Andrew Or closed SPARK-7171.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> Allow for more flexible us
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Andrew Or closed SPARK-9128.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> Get outerclasses and objec
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Andrew Or closed SPARK-9036.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> SparkListenerExecutorMetri
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Andrew Or updated SPARK-9193:
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Priority: Major (was: Minor)
> Avoid assigning tasks to executors under killing
> ---
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Andrew Or updated SPARK-9193:
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Assignee: Jie Huang
> Avoid assigning tasks to executors under killing
> -
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Andrew Or updated SPARK-9193:
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Target Version/s: 1.4.2, 1.5.0
> Avoid assigning tasks to executors under killing
> --
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https://issues.apache.org/jira/browse/SPARK-4922?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-4922.
Resolution: Fixed
> Support dynamic allocation for coarse-grained Mesos
> --
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Andrew Or closed SPARK-4922.
Resolution: Duplicate
> Support dynamic allocation for coarse-grained Mesos
> --
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Andrew Or reopened SPARK-4922:
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> Support dynamic allocation for coarse-grained Mesos
> ---
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https://issues.apache.org/jira/browse/SPARK-5349?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-5349.
Resolution: Duplicate
> Spark standalone should support dynamic resource scaling
> -
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https://issues.apache.org/jira/browse/SPARK-4751?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4751:
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Target Version/s: 1.5.0
> Support dynamic allocation for standalone mode
> ---
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Andrew Or updated SPARK-9128:
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Assignee: Liang-Chi Hsieh
> Get outerclasses and objects at the same time in ClosureCleaner
>
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Andrew Or updated SPARK-9128:
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Affects Version/s: 1.0.0
> Get outerclasses and objects at the same time in ClosureCleaner
> -
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Andrew Or updated SPARK-8881:
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Description:
Current scheduling algorithm (in Master.scala) has two issues:
1. cores are allocated one at
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8881:
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Summary: Standalone mode scheduling fails because cores assignment is not
atomic (was: Standalone mode sc
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https://issues.apache.org/jira/browse/SPARK-8881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8881:
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Priority: Critical (was: Major)
> Standalone mode scheduling fails if num_executors < num_workers
> -
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Andrew Or closed SPARK-8166.
Resolution: Cannot Reproduce
> Consistently failing test: o.a.s.sql.sources.FilteredScanSuite
>
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Andrew Or commented on SPARK-8166:
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Ok, sounds good.
> Consistently failing test: o.a.s.
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Andrew Or updated SPARK-8119:
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Fix Version/s: 1.5.0
> HeartbeatReceiver should not adjust application executor resources
> --
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https://issues.apache.org/jira/browse/SPARK-6284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-6284.
Resolution: Fixed
Fix Version/s: 1.5.0
> Support framework authentication and role in Mesos framework
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Andrew Or commented on SPARK-6284:
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This is now merged and will appear in Spark 1.5! Than
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Andrew Or edited comment on SPARK-6284 at 7/17/15 2:38 AM:
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This
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Andrew Or closed SPARK-8646.
Resolution: Fixed
Fix Version/s: 1.5.0
Target Version/s: 1.5.0
> PySpark does not run on YA
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Andrew Or updated SPARK-8646:
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Assignee: Lianhui Wang
> PySpark does not run on YARN if master not provided in command line
> ---
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Andrew Or updated SPARK-8881:
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Target Version/s: 1.4.2, 1.5.0
> Standalone mode scheduling fails if num_executors < num_workers
> ---
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Andrew Or updated SPARK-8881:
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Assignee: Nishkam Ravi
> Standalone mode scheduling fails if num_executors < num_workers
> ---
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https://issues.apache.org/jira/browse/SPARK-4134?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-4134:
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Summary: Dynamic allocation: tone down scary executor lost messages when
killing on purpose (was: Tone do
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https://issues.apache.org/jira/browse/SPARK-8119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14630545#comment-14630545
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Andrew Or commented on SPARK-8119:
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Hi [~roji], yes, we should fix it for 1.4.2 as well.
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Andrew Or updated SPARK-8119:
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Target Version/s: 1.4.2, 1.5.0 (was: 1.5.0)
> HeartbeatReceiver should not adjust application executor re
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https://issues.apache.org/jira/browse/SPARK-8119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-8119:
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Target Version/s: 1.5.0
> HeartbeatReceiver should not adjust application executor resources
> ---
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https://issues.apache.org/jira/browse/SPARK-9025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14627533#comment-14627533
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Andrew Or commented on SPARK-9025:
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Yeah, me neither.
> Storage tab shows no blocks for
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Andrew Or closed SPARK-9025.
Resolution: Cannot Reproduce
> Storage tab shows no blocks for cached RDDs
> ---
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https://issues.apache.org/jira/browse/SPARK-1855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14627470#comment-14627470
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Andrew Or commented on SPARK-1855:
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I just found this old issue. I've been working on a d
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Andrew Or updated SPARK-1855:
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Assignee: Andrew Or
> Provide memory-and-local-disk RDD checkpointing
> --
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Andrew Or updated SPARK-1855:
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Target Version/s: 1.5.0
> Provide memory-and-local-disk RDD checkpointing
> --
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https://issues.apache.org/jira/browse/SPARK-7292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-7292.
Resolution: Duplicate
> Provide operator to truncate lineage without persisting RDD's
>
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Andrew Or updated SPARK-8881:
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Summary: Standalone mode scheduling fails if num_executors < num_workers
(was: Scheduling fails if num_ex
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https://issues.apache.org/jira/browse/SPARK-8374?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-8374.
Resolution: Duplicate
> Job frequently hangs after YARN preemption
> ---
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Andrew Or updated SPARK-8119:
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Assignee: Andrew Or
> HeartbeatReceiver should not adjust application executor resources
> ---
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Andrew Or updated SPARK-8119:
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Priority: Critical (was: Major)
> HeartbeatReceiver should not adjust application executor resources
> --
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https://issues.apache.org/jira/browse/SPARK-8911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-8911.
Resolution: Fixed
Fix Version/s: 1.5.0
> Local mode endless heartbeat warnings
>
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
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
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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.
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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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Andrew Or commented on SPARK-6287:
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Note that this feature is not complete. The shuffle f
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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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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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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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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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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 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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Priority: Critical (was: Minor)
> Support cleaning up shuffle files for drivers launched with Mesos
> ---
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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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https://issues.apache.org/jira/browse/SPARK-2017?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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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 edited comment on SPARK-2017 at 7/9/15 8:24 PM:
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Resolv
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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 commented on SPARK-2017:
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Partially resolved by https://github.com/apache/spark
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https://issues.apache.org/jira/browse/SPARK-7419?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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 updated SPARK-7419:
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Assignee: Shixiong Zhu (was: Tathagata Das)
> Flaky test: o.a.s.streaming.CheckpointSuite
> -
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https://issues.apache.org/jira/browse/SPARK-8953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-8953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-8953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-8953?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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https://issues.apache.org/jira/browse/SPARK-8939?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14621117#comment-14621117
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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
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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[~shivaram]
> YARN EC2 default setting fails with Il
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https://issues.apache.org/jira/browse/SPARK-8939?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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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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>
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