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Hong Shen commented on SPARK-18893:
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+1, "alter table add/replace columns" is a very important feature.
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
{code}
spark-sql> create
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
{code}
spark-sql> create
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
spark-sql> create
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Hong Shen commented on SPARK-18910:
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Should I add a pull request to resolve this problem?
> Can't use
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar file in hdfs, I can't use the UDF.
spark-sql> create
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Hong Shen updated SPARK-18910:
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Summary: Can't use UDF that jar file in hdfs (was: Can't use UDF that
source file in hdfs)
> Can't
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Hong Shen updated SPARK-18910:
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Description:
When I create a UDF that jar
spark-sql> create function trans_array as
Hong Shen created SPARK-18910:
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Summary: Can't use UDF that source file in hdfs
Key: SPARK-18910
URL: https://issues.apache.org/jira/browse/SPARK-18910
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-16989?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15416320#comment-15416320
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Hong Shen commented on SPARK-16989:
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Thanks for your comment.
In our cluster, the log directory is a
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Hong Shen updated SPARK-16989:
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Description:
If log directory does not exist, it will throw exception as the follow log.
{code}
Hong Shen created SPARK-16989:
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Summary: fileSystem.getFileStatus throw exception in
EventLoggingListener
Key: SPARK-16989
URL: https://issues.apache.org/jira/browse/SPARK-16989
Project: Spark
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Hong Shen commented on SPARK-16985:
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The reason is the output file use
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Hong Shen updated SPARK-16985:
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Description:
In our cluster, sometimes the sql output maybe overrided. When I submit some
sql, all
Hong Shen created SPARK-16985:
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Summary: SQL Output maybe overrided
Key: SPARK-16985
URL: https://issues.apache.org/jira/browse/SPARK-16985
Project: Spark
Issue Type: Bug
Components:
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Hong Shen commented on SPARK-16709:
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If you agree it's a bug, then I will reopen the jira and add a
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Hong Shen commented on SPARK-16709:
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Sorry for late, this is different from SPARK-14915, in the fact,
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Hong Shen edited comment on SPARK-16709 at 7/26/16 2:10 AM:
It different, the
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Hong Shen commented on SPARK-16709:
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It different, the task has no attempt succeed. this happen when a
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Hong Shen commented on SPARK-16708:
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It's different,ExecutorAllocationManager.numRunningTasks be
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Hong Shen commented on SPARK-16707:
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It happened many times in our cluster(with thousand of machines),
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Hong Shen updated SPARK-16709:
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Attachment: commit failed.png
> Task with commit failed will retry infinite when speculation set to
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Hong Shen updated SPARK-16709:
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Attachment: (was: `N0)80~9A(AMT~2}%Q`M[RY.png)
> Task with commit failed will retry infinite when
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Hong Shen updated SPARK-16709:
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Attachment: `N0)80~9A(AMT~2}%Q`M[RY.png
> Task with commit failed will retry infinite when speculation
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Hong Shen updated SPARK-16709:
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Description:
In our cluster, we set spark.speculation=true, but when a task throw exception
at
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Hong Shen updated SPARK-16709:
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Description:
In our cluster, we set spark.speculation=true, but when a task throw exception
at
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Hong Shen updated SPARK-16709:
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Description:
In our cluster, we set spark. When a task throw exception at
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Hong Shen updated SPARK-16709:
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Description:
In our cluster, we set spark.speculation=true, but when a task throw exception
at
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https://issues.apache.org/jira/browse/SPARK-16709?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-16709:
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Affects Version/s: 1.6.0
> Task with commit failed will retry infinite when speculation set to true
>
Hong Shen created SPARK-16709:
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Summary: Task with commit failed will retry infinite when
speculation set to true
Key: SPARK-16709
URL: https://issues.apache.org/jira/browse/SPARK-16709
Project: Spark
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Hong Shen updated SPARK-16708:
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Description:
When a task fetch failed, the stage will complete and retry, when the stage
complete,
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Hong Shen updated SPARK-16708:
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Description:
When a task fetch failed, the stage will complete and retry, when the stage
complete,
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Hong Shen updated SPARK-16708:
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Affects Version/s: 1.6.0
> ExecutorAllocationManager.numRunningTasks can be negative when stage retry
Hong Shen created SPARK-16708:
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Summary: ExecutorAllocationManager.numRunningTasks can be negative
when stage retry
Key: SPARK-16708
URL: https://issues.apache.org/jira/browse/SPARK-16708
Project: Spark
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Hong Shen commented on SPARK-16707:
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There is a same error here:
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Hong Shen updated SPARK-16707:
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Description:
I have encounter some NullPointerException when
TransportClientFactory.createClient in
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Hong Shen updated SPARK-16707:
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Description:
I have encounter some NullPointerException when
TransportClientFactory.createClient in
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Hong Shen updated SPARK-16707:
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Description:
I have encounter some NullPointerException when
TransportClientFactory.createClient in
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Hong Shen updated SPARK-16707:
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Affects Version/s: 1.6.0
> TransportClientFactory.createClient may throw NPE
>
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Hong Shen updated SPARK-16707:
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Description:
org.apache.spark.shuffle.FetchFailedException
at
Hong Shen created SPARK-16707:
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Summary: TransportClientFactory.createClient may throw NPE
Key: SPARK-16707
URL: https://issues.apache.org/jira/browse/SPARK-16707
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-13510?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-13510:
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Attachment: spark-13510.diff
Add FetchStream for shuffle, if the fetch file is bigger than
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Hong Shen commented on SPARK-13510:
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I have resolve in our own edition, I will add a pull request this
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Hong Shen updated SPARK-13510:
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Description:
In our cluster, when I test spark-1.6.0 with a sql, it throw exception and
failed.
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Hong Shen updated SPARK-13510:
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Description:
In our cluster, when I test spark-1.6.0 with a sql, it throw exception and
failed.
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Hong Shen commented on SPARK-13510:
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We can't resolve all the shuffle OOM by allocate more memory, If
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Hong Shen commented on SPARK-13510:
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In our cluster, we have lot of sql run on hive, I want to use
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Hong Shen reopened SPARK-13510:
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> Shuffle may throw FetchFailedException: Direct buffer memory
>
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Hong Shen commented on SPARK-13510:
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Add more log, fetch a block of 915.4 MB.
16/02/17 15:36:03 INFO
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Hong Shen updated SPARK-13510:
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Description:
In our cluster, when I test spark-1.6.0 with a sql, it throw exception and
failed.
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Hong Shen commented on SPARK-13510:
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I will add the logic in my edition.
> Shuffle may throw
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Hong Shen updated SPARK-13510:
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Description:
In our cluster, when I test spark-1.6.0 with a sql, it throw exception and
failed.
Hong Shen created SPARK-13510:
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Summary: Shuffle may throw FetchFailedException: Direct buffer
memory
Key: SPARK-13510
URL: https://issues.apache.org/jira/browse/SPARK-13510
Project: Spark
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Hong Shen updated SPARK-13510:
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Description:
In our cluster, when I test spark-1.6.0 with a sql, it throw exception and
failed.
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https://issues.apache.org/jira/browse/SPARK-13450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15162858#comment-15162858
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Hong Shen commented on SPARK-13450:
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Thanks, I will add in my own branch first.
> SortMergeJoin will
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Hong Shen commented on SPARK-13450:
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A join has a lot of rows with the same key.
> SortMergeJoin will
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Hong Shen commented on SPARK-13450:
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I think we should add a ExternalAppendOnlyArrayBuffer to replace
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Hong Shen updated SPARK-13450:
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Description:
When I run a sql with join, task throw java.lang.OutOfMemoryError and sql
failed. I
Hong Shen created SPARK-13450:
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Summary: SortMergeJoin will OOM when join rows have lot of same
keys
Key: SPARK-13450
URL: https://issues.apache.org/jira/browse/SPARK-13450
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-7271?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14960363#comment-14960363
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Hong Shen commented on SPARK-7271:
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Hi, I have a question, are you plan to rededign the shuffle reader to
Hong Shen created SPARK-10918:
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Summary: Task failed because executor kill by driver
Key: SPARK-10918
URL: https://issues.apache.org/jira/browse/SPARK-10918
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-8403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-8403:
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Description:
When partition field and fieldSchema exist in sql predicates, pruner partition
won't
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Hong Shen updated SPARK-8403:
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Description:
When partition field and fieldSchema exist in sql predicates, pruner partition
won't
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Hong Shen updated SPARK-8403:
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Summary: Pruner partition won't effective when partition field and
fieldSchema exist in sql predicate
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Hong Shen updated SPARK-8403:
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Summary: Pruner partition won't effective when partition field and
fieldSchema exit in sql predicate
Hong Shen created SPARK-8403:
Summary: Pruner partition won't effective when udf exit in sql
predicates
Key: SPARK-8403
URL: https://issues.apache.org/jira/browse/SPARK-8403
Project: Spark
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Hong Shen updated SPARK-8403:
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Description:
When udf exit in sql predicates, pruner partition won't effective.
Here is the sql,
{code}
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Hong Shen updated SPARK-8403:
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Description:
When udf exit in sql predicates, pruner partition won't effective.
Here is the sql,
{code}
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Hong Shen commented on SPARK-5529:
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1.4.0 version would be release in june.
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 2.2 GB data to disk:
{code}
15/04/07 20:27:37 INFO
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Hong Shen reopened SPARK-6738:
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There is a in SizeEstimator
EstimateSize is difference with spill file size
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 2.2 GB data to disk:
{code}
15/04/07 20:27:37 INFO
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Hong Shen edited comment on SPARK-6738 at 4/21/15 2:54 AM:
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Hong Shen created SPARK-6738:
Summary: EstimateSize is difference with spill file size
Key: SPARK-6738
URL: https://issues.apache.org/jira/browse/SPARK-6738
Project: Spark
Issue Type: Bug
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 1100M data to disk:
{code}
15/04/07 16:39:48 INFO
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Hong Shen commented on SPARK-6738:
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Yes, it spill lots of files, but each one has only
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 1100M data to disk:
{code}
15/04/07 16:39:48 INFO
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 1100M data to disk:
{code}
15/04/07 16:39:48 INFO
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https://issues.apache.org/jira/browse/SPARK-6738?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-6738:
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Description:
ExternalAppendOnlyMap spill 2.2 GB data to disk:
{code}
15/04/07 20:27:37 INFO
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Hong Shen commented on SPARK-6738:
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I don't think it's serialized cause the problem. the
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Hong Shen commented on SPARK-6104:
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[~rxin]
Can you link to the duplicate issue?
spark
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Hong Shen updated SPARK-6104:
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Affects Version/s: 1.2.0
spark sql shuffle OOM
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Key: SPARK-6104
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Hong Shen updated SPARK-6104:
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Description:
Currently, spark shuffle can use ExternalAppendOnlyMap to combine data that
have fetched,
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Hong Shen updated SPARK-6104:
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Description:
Currently, spark shuffle can use ExternalAppendOnlyMap to combine data that
have fetched,
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Hong Shen updated SPARK-6104:
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Summary: spark SQL shuffle OOM (was: spark sql shuffle OOM)
spark SQL shuffle OOM
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Hong Shen commented on SPARK-6104:
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[~rxin] [~sandyryza], can you pay attention to this
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Hong Shen updated SPARK-6104:
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Description:
Currently, spark shuffle can use ExternalAppendOnlyMap to combine data that
have fetched,
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https://issues.apache.org/jira/browse/SPARK-6104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14342872#comment-14342872
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Hong Shen commented on SPARK-6104:
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Can you link to the Duplicate issue?
spark SQL
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Hong Shen edited comment on SPARK-6104 at 3/2/15 7:25 AM:
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Can
Hong Shen created SPARK-6104:
Summary: spark sql shuffle OOM
Key: SPARK-6104
URL: https://issues.apache.org/jira/browse/SPARK-6104
Project: Spark
Issue Type: Improvement
Reporter:
Hong Shen created SPARK-5736:
Summary: Add executor log url
Key: SPARK-5736
URL: https://issues.apache.org/jira/browse/SPARK-5736
Project: Spark
Issue Type: Bug
Reporter: Hong Shen
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Summary: Add executor log url to Executors page on Yarn (was: Add executor
log url to Executors page)
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Component/s: Web UI
Add executor log url to Executors page
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Affects Version/s: 1.2.0
Add executor log url to Executors page
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Summary: Add executor log url to Executors page (was: Add executor log url)
Add executor log url to
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Issue Type: Improvement (was: Bug)
Add executor log url to Executors page
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https://issues.apache.org/jira/browse/SPARK-5736?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hong Shen updated SPARK-5736:
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Description: Currently, there is not executor log url in spark ui (on
Yarn), we have to read executor
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https://issues.apache.org/jira/browse/SPARK-5529?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14304819#comment-14304819
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Hong Shen commented on SPARK-5529:
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I had changed it in our own branch.
Executor is
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Hong Shen updated SPARK-5529:
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Attachment: SPARK-5529.patch
Executor is still hold while BlockManager has been removed
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Hong Shen commented on SPARK-5529:
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Executor will lost when a akka throw a
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