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Posted to yarn-issues@hadoop.apache.org by "Xiaochuan Yu (JIRA)" <ji...@apache.org> on 2017/10/22 21:21:03 UTC

[jira] [Commented] (YARN-1440) Yarn aggregated logs are difficult for external tools to understand

    [ https://issues.apache.org/jira/browse/YARN-1440?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16214458#comment-16214458 ] 

Xiaochuan Yu commented on YARN-1440:
------------------------------------

Is there any updates on this?
Does the "many small files" performance problem apply to S3 and NFS?
The proposed simple raw file structure would be ideal for my use case at least.
Maybe make it optional? Users can choose to either have the simple raw file structure or the current behaviour.

> Yarn aggregated logs are difficult for external tools to understand
> -------------------------------------------------------------------
>
>                 Key: YARN-1440
>                 URL: https://issues.apache.org/jira/browse/YARN-1440
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>            Reporter: ledion bitincka
>              Labels: log-aggregation, logs, tfile, yarn
>
> The log aggregation feature in Yarn is awesome! However, the file type and format in which the log files are aggregated into (TFile) should either be much simpler or be made pluggable. The current TFile format forces anyone who wants to see the files to either 
> a) use the web UI
> b) use the CLI tools (yarn logs)  or 
> c) write custom code to read the files 
> My suggestion would be to simplify the log collection by collecting and writing the raw log files into a directory structure as follows: 
> {noformat}
> /{log-collection-dir}/{app-id}/{container-id}/{log-file-name} 
> {noformat}
> This way the application developers can (re)use a much wider array of tools to process the logs. 
> For the readers who are not familiar with logs and their format you can find more info the following two blog posts:
> http://hortonworks.com/blog/simplifying-user-logs-management-and-access-in-yarn/
> http://blogs.splunk.com/2013/11/18/hadoop-2-0-rant/



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