[jira] [Updated] (SPARK-5687) in TaskResultGetter need to catch OutOfMemoryError.

2015-02-09 Thread Lianhui Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-5687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Lianhui Wang updated SPARK-5687:

Description: because in enqueueSuccessfulTask there is another thread to 
fetch result, if result is very large,it maybe throw a OutOfMemoryError. so if 
we donot catch OutOfMemoryError, DAGDAGScheduler donot know the status of this 
task.  (was: because in enqueueSuccessfulTask there is another thread to fetch 
result, if result is very large,it maybe throw a OutOfMemoryError. so if we 
donot catch OutOfMemoryError, DAGDAGScheduler donot know the status of this 
task.
another is:
when totalResultSize  maxResultSize and it cannot fetch large result, we need 
to report failed status to DAGDAGScheduler. if it donot report any status of 
this tasks.DAGDAGScheduler also donot know status of this task.)

 in TaskResultGetter need to catch OutOfMemoryError.
 ---

 Key: SPARK-5687
 URL: https://issues.apache.org/jira/browse/SPARK-5687
 Project: Spark
  Issue Type: Bug
  Components: Spark Core
Reporter: Lianhui Wang

 because in enqueueSuccessfulTask there is another thread to fetch result, if 
 result is very large,it maybe throw a OutOfMemoryError. so if we donot catch 
 OutOfMemoryError, DAGDAGScheduler donot know the status of this task.



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[jira] [Updated] (SPARK-5687) in TaskResultGetter need to catch OutOfMemoryError.

2015-02-09 Thread Lianhui Wang (JIRA)

 [ 
https://issues.apache.org/jira/browse/SPARK-5687?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Lianhui Wang updated SPARK-5687:

Summary: in TaskResultGetter need to catch OutOfMemoryError.  (was: in 
TaskResultGetter need to catch OutOfMemoryError and report failed when it 
cannot  fetch results.)

 in TaskResultGetter need to catch OutOfMemoryError.
 ---

 Key: SPARK-5687
 URL: https://issues.apache.org/jira/browse/SPARK-5687
 Project: Spark
  Issue Type: Bug
  Components: Spark Core
Reporter: Lianhui Wang

 because in enqueueSuccessfulTask there is another thread to fetch result, if 
 result is very large,it maybe throw a OutOfMemoryError. so if we donot catch 
 OutOfMemoryError, DAGDAGScheduler donot know the status of this task.
 another is:
 when totalResultSize  maxResultSize and it cannot fetch large result, we 
 need to report failed status to DAGDAGScheduler. if it donot report any 
 status of this tasks.DAGDAGScheduler also donot know status of this task.



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