[ 
https://issues.apache.org/jira/browse/HADOOP-13031?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15413681#comment-15413681
 ] 

Ming Ma commented on HADOOP-13031:
----------------------------------

[~liuml07], any update on this? Given no values are defined for other 
FileSystems, it will be quite useful MR doesn't need to display those undefined 
counters, something Tez has achieved it appears. Thanks.

> Rack-aware read bytes stats should be managed by HFDS specific 
> StorageStatistics
> --------------------------------------------------------------------------------
>
>                 Key: HADOOP-13031
>                 URL: https://issues.apache.org/jira/browse/HADOOP-13031
>             Project: Hadoop Common
>          Issue Type: Sub-task
>          Components: fs
>            Reporter: Mingliang Liu
>            Assignee: Mingliang Liu
>
> [HADOOP-13065] added a new interface for retrieving FS and FC Statistics. 
> This jira is to refactor the code that maintains rack-aware read metrics to 
> use the newly added StorageStatistics. Specially,
> # Rack-aware read bytes metrics is mostly specific to HDFS. For example, 
> local file system doesn't need that. We consider to move it from base 
> FileSystemStorageStatistics to a dedicated HDFS specific StorageStatistics 
> sub-class.
> # We would have to develop an optimized thread-local mechanism to do this, to 
> avoid causing a performance regression in HDFS stream performance.
> Optionally, it would be better to simply move this to HDFS's existing 
> per-stream {{ReadStatistics}} for now. As [HDFS-9579] states, ReadStatistics 
> metrics are only accessible via {{DFSClient}} or {{DFSInputStream}}. Not 
> something that application framework such as MR and Tez can get to.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: common-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: common-issues-h...@hadoop.apache.org

Reply via email to