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https://issues.apache.org/jira/browse/AMBARI-17785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15411735#comment-15411735
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Hadoop QA commented on AMBARI-17785:
------------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12822508/AMBARI-17785-2.patch
against trunk revision .
{color:red}-1 patch{color}. Top-level trunk compilation may be broken.
Console output:
https://builds.apache.org/job/Ambari-trunk-test-patch/8323//console
This message is automatically generated.
> Provide support for S3 as a first class destination for log events
> ------------------------------------------------------------------
>
> Key: AMBARI-17785
> URL: https://issues.apache.org/jira/browse/AMBARI-17785
> Project: Ambari
> Issue Type: Improvement
> Components: ambari-logsearch
> Affects Versions: 2.4.0
> Reporter: Hemanth Yamijala
> Assignee: Hemanth Yamijala
> Fix For: 2.5.0
>
> Attachments: AMBARI-17785-1.patch, AMBARI-17785-2.patch,
> AMBARI-17785.patch
>
>
> AMBARI-17045 added support for uploading Hadoop service logs from machines to
> S3. The intended usage there was as a one time trigger where, on-demand, the
> log files matching certain paths can be uploaded to a given S3 bucket and
> path.
> While useful, there are some use cases where we might need more than this one
> time activity, particularly when clusters are deployed on ephemeral machines
> such as cloud instances:
> * The machines running the logfeeder could be irrevocably lost and in that
> case we would not be able to retrieve any logs.
> * If we are copying logs at one time, that were generated over a long period
> of time, the time to copy all the logs at the end could extend cluster
> up-time and cost.
> It would be nice to have an ability to support S3 as another output
> destination in logsearch just like Kafka, Solr etc. This JIRA is to track
> work towards this enhancement.
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