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https://issues.apache.org/jira/browse/SPARK-21008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-21008:
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Description:
On a security(Kerberos) enabled cluster, streaming applications renew HDFS
delegation token
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https://issues.apache.org/jira/browse/SPARK-21008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-21008:
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Description:
On a security(Kerberos) enabled cluster, streaming applications renew HDFS
delegation token
Xing Shi created SPARK-21008:
Summary: Streaming applications read stale credentials file when
recovering from checkpoint.
Key: SPARK-21008
URL: https://issues.apache.org/jira/browse/SPARK-21008
Project:
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https://issues.apache.org/jira/browse/SPARK-13288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541970#comment-15541970
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Xing Shi commented on SPARK-13288:
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This problem is just similar to
[SPARK-17465|https:
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946
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Xing Shi edited comment on SPARK-17465 at 10/3/16 9:17 AM:
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Res
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946
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Xing Shi edited comment on SPARK-17465 at 10/3/16 9:16 AM:
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Res
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946
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Xing Shi commented on SPARK-17465:
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Resolved.
In every task, method _currentUnrollMemor
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15486680#comment-15486680
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Xing Shi commented on SPARK-17465:
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It seems that the issue has some negative side effec
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-17465:
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Description:
After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a
memory leak on my
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-17465:
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Description:
After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a
memory leak on my
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-17465:
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Description:
After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a
memory leak on my
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https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xing Shi updated SPARK-17465:
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Affects Version/s: 1.6.0
1.6.1
1.6.2
Description:
Xing Shi created SPARK-17465:
Summary: Inappropriate memory management in
`org.apache.spark.storage.MemoryStore` may lead to a memory leak proportional
to total number of tasks
Key: SPARK-17465
URL: https://issues.ap
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