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Posted to issues@spark.apache.org by "hujiayin (JIRA)" <ji...@apache.org> on 2015/08/10 10:08:47 UTC
[jira] [Updated] (SPARK-9779) HTTP500 revisit when open web-UI in
yarn-cluster yarn-client mode (1.2-1.3)
[ https://issues.apache.org/jira/browse/SPARK-9779?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
hujiayin updated SPARK-9779:
----------------------------
Description:
When I try to open the web-UI from AM in yarn-cluster mode, I meet the HTTP500 error as described in https://issues.apache.org/jira/browse/SPARK-5837 I want to collect stage logs of a feature in Spark1.2 to find a performance problem.
The error doesn't happen in the latest spark build and only happens in Spark1.2-1.3. The hadoop yarn related configuration are the same between the different Spark versions.
was:
When I try to open the web-UI from AM in yarn-cluster mode, I meet the HTTP500 error as described in https://issues.apache.org/jira/browse/SPARK-5837 I meet this issue is because I want to collect stage logs of a feature in Spark1.2 to find a performance problem.
The error doesn't happen in the latest spark build and only happens in Spark1.2-1.3. The hadoop yarn related configuration are the same between the different Spark versions.
> HTTP500 revisit when open web-UI in yarn-cluster yarn-client mode (1.2-1.3)
> ----------------------------------------------------------------------------
>
> Key: SPARK-9779
> URL: https://issues.apache.org/jira/browse/SPARK-9779
> Project: Spark
> Issue Type: Bug
> Components: Web UI
> Affects Versions: 1.2.0, 1.2.1, 1.2.2, 1.3.0
> Environment: hadoop2.5.0-cdh5.3.2
> Reporter: hujiayin
> Fix For: 1.4.2
>
>
> When I try to open the web-UI from AM in yarn-cluster mode, I meet the HTTP500 error as described in https://issues.apache.org/jira/browse/SPARK-5837 I want to collect stage logs of a feature in Spark1.2 to find a performance problem.
> The error doesn't happen in the latest spark build and only happens in Spark1.2-1.3. The hadoop yarn related configuration are the same between the different Spark versions.
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