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https://issues.apache.org/jira/browse/HADOOP-18257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18022595#comment-18022595
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ASF GitHub Bot commented on HADOOP-18257:
-----------------------------------------
github-actions[bot] commented on PR #6901:
URL: https://github.com/apache/hadoop/pull/6901#issuecomment-3331151545
We're closing this stale PR because it has been open for 100 days with no
activity. This isn't a judgement on the merit of the PR in any way. It's just a
way of keeping the PR queue manageable.
If you feel like this was a mistake, or you would like to continue working
on it, please feel free to re-open it and ask for a committer to remove the
stale tag and review again.
Thanks all for your contribution.
> 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: Mehakmeet Singh
> Priority: Major
> Labels: pull-request-available
>
> 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.
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