[jira] [Updated] (SPARK-21008) Streaming applications read stale credentials file when recovering from checkpoint.

2017-06-19 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-21008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-21008: - Description: On a security(Kerberos) enabled cluster, streaming applications renew HDFS delegation token

[jira] [Updated] (SPARK-21008) Streaming applications read stale credentials file when recovering from checkpoint.

2017-06-19 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-21008?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-21008: - Description: On a security(Kerberos) enabled cluster, streaming applications renew HDFS delegation token

[jira] [Created] (SPARK-21008) Streaming applications read stale credentials file when recovering from checkpoint.

2017-06-07 Thread Xing Shi (JIRA)
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:

[jira] [Commented] (SPARK-13288) [1.6.0] Memory leak in Spark streaming

2016-10-03 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-13288?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541970#comment-15541970 ] Xing Shi commented on SPARK-13288: -- This problem is just similar to [SPARK-17465|https:

[jira] [Comment Edited] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-10-03 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946 ] Xing Shi edited comment on SPARK-17465 at 10/3/16 9:17 AM: --- Res

[jira] [Comment Edited] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-10-03 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946 ] Xing Shi edited comment on SPARK-17465 at 10/3/16 9:16 AM: --- Res

[jira] [Commented] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-10-03 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15541946#comment-15541946 ] Xing Shi commented on SPARK-17465: -- Resolved. In every task, method _currentUnrollMemor

[jira] [Commented] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-09-13 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15486680#comment-15486680 ] Xing Shi commented on SPARK-17465: -- It seems that the issue has some negative side effec

[jira] [Updated] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-09-09 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-17465: - Description: After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a memory leak on my

[jira] [Updated] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-09-08 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-17465: - Description: After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a memory leak on my

[jira] [Updated] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-09-08 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-17465: - Description: After updating Spark from 1.5.0 to 1.6.0, I found that it seems to have a memory leak on my

[jira] [Updated] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to memory leak

2016-09-08 Thread Xing Shi (JIRA)
[ https://issues.apache.org/jira/browse/SPARK-17465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xing Shi updated SPARK-17465: - Affects Version/s: 1.6.0 1.6.1 1.6.2 Description:

[jira] [Created] (SPARK-17465) Inappropriate memory management in `org.apache.spark.storage.MemoryStore` may lead to a memory leak proportional to total number of tasks

2016-09-08 Thread Xing Shi (JIRA)
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