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Posted to common-issues@hadoop.apache.org by "Sravani Gadey (Jira)" <ji...@apache.org> on 2022/05/25 10:19:00 UTC

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

    [ https://issues.apache.org/jira/browse/HADOOP-18257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17541949#comment-17541949 ] 

Sravani Gadey commented on HADOOP-18257:
----------------------------------------

cc [~stevel@apache.org] [~mehakmeetSingh] 

> 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
>            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.



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