[jira] [Commented] (SPARK-21064) Fix the default value bug in NettyBlockTransferServiceSuite

2017-06-12 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16046493#comment-16046493
 ] 

Apache Spark commented on SPARK-21064:
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User 'djvulee' has created a pull request for this issue:
https://github.com/apache/spark/pull/18280

> Fix the default value bug in NettyBlockTransferServiceSuite
> ---
>
> Key: SPARK-21064
> URL: https://issues.apache.org/jira/browse/SPARK-21064
> Project: Spark
>  Issue Type: Bug
>  Components: Tests
>Affects Versions: 2.2.0
>Reporter: DjvuLee
>Assignee: DjvuLee
>Priority: Trivial
>




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[jira] [Commented] (SPARK-21064) Fix the default value bug in NettyBlockTransferServiceSuite

2017-06-12 Thread Apache Spark (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16046478#comment-16046478
 ] 

Apache Spark commented on SPARK-21064:
--

User 'djvulee' has created a pull request for this issue:
https://github.com/apache/spark/pull/18279

> Fix the default value bug in NettyBlockTransferServiceSuite
> ---
>
> Key: SPARK-21064
> URL: https://issues.apache.org/jira/browse/SPARK-21064
> Project: Spark
>  Issue Type: Bug
>  Components: Spark Core
>Affects Versions: 2.2.0
>Reporter: DjvuLee
>




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[jira] [Commented] (SPARK-21064) Fix the default value bug in NettyBlockTransferServiceSuite

2017-06-12 Thread DjvuLee (JIRA) 

[ 
https://issues.apache.org/jira/browse/SPARK-21064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16046475#comment-16046475
 ] 

DjvuLee commented on SPARK-21064:
-

The defalut value for `spark.port.maxRetries` is 100, but we use the 10
in the suite file.

> Fix the default value bug in NettyBlockTransferServiceSuite
> ---
>
> Key: SPARK-21064
> URL: https://issues.apache.org/jira/browse/SPARK-21064
> Project: Spark
>  Issue Type: Bug
>  Components: Spark Core
>Affects Versions: 2.2.0
>Reporter: DjvuLee
>




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