You are viewing a plain text version of this content. The canonical link for it is here.

Posted to common-issues@hadoop.apache.org by "Sravani Gadey (Jira)" <ji...@apache.org> on 2022/05/31 13:21:00 UTC

[jira] [Work started] (HADOOP-18257) Analyzing S3A Audit Logs

     [ https://issues.apache.org/jira/browse/HADOOP-18257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Work on HADOOP-18257 started by Sravani Gadey.
----------------------------------------------
> Analyzing S3A Audit Logs 
> -------------------------
>
>                 Key: HADOOP-18257
>                 URL: https://issues.apache.org/jira/browse/HADOOP-18257
>             Project: Hadoop Common
>          Issue Type: Task
>          Components: fs/s3
>            Reporter: Sravani Gadey
>            Assignee: Sravani Gadey
>            Priority: Major
>
> The main aim is to analyze S3A Audit logs to give better insights in Hive and Spark jobs.
> Steps involved are:
>  * Merging audit log files containing huge number of audit logs collected from a job containing various S3 requests.
>  * Parsing audit logs using regular expressions i.e., dividing them into key value pairs.
>  * Converting the key value pairs into CSV file and AVRO file formats.
>  * Querying on data which would give better insights for different jobs.
>  * Visualizing the audit logs on Zeppelin or Jupyter notebook with graphs.



--
This message was sent by Atlassian Jira
(v8.20.7#820007)

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