You are viewing a plain text version of this content. The canonical link for it is here.
Posted to yarn-issues@hadoop.apache.org by "Prabhu Joseph (JIRA)" <ji...@apache.org> on 2019/03/08 16:24:00 UTC
[jira] [Updated] (YARN-9303) Optimizing Pre Split keys for Hbase
Timeline Service Storage tables
[ https://issues.apache.org/jira/browse/YARN-9303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Prabhu Joseph updated YARN-9303:
--------------------------------
Description:
Currently Timeline Service Storage tables uses splits based on username. ApplicationTable rowkey starts with ClusterId, AppToFlowTable rowkey starts with AppId won;t work well with username splits. The Hbase write will hotspot to one RegionServer. Need to optimize the pre split keys for each tables based on the RowKey.
http://archive.cloudera.com/cdh5/cdh/5/hbase-0.98.6-cdh5.3.8/book/rowkey.design.html
was:Currently Timeline Service Storage tables uses splits based on username. ApplicationTable rowkey starts with ClusterId, AppToFlowTable rowkey starts with AppId won;t work well with username splits. The Hbase write will hotspot to one RegionServer. Need to optimize the pre split keys for each tables based on the RowKey.
> Optimizing Pre Split keys for Hbase Timeline Service Storage tables
> -------------------------------------------------------------------
>
> Key: YARN-9303
> URL: https://issues.apache.org/jira/browse/YARN-9303
> Project: Hadoop YARN
> Issue Type: Bug
> Affects Versions: 3.1.2
> Reporter: Prabhu Joseph
> Assignee: Prabhu Joseph
> Priority: Major
>
> Currently Timeline Service Storage tables uses splits based on username. ApplicationTable rowkey starts with ClusterId, AppToFlowTable rowkey starts with AppId won;t work well with username splits. The Hbase write will hotspot to one RegionServer. Need to optimize the pre split keys for each tables based on the RowKey.
> http://archive.cloudera.com/cdh5/cdh/5/hbase-0.98.6-cdh5.3.8/book/rowkey.design.html
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: yarn-issues-help@hadoop.apache.org