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https://issues.apache.org/jira/browse/METRON-227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15375655#comment-15375655
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ASF GitHub Bot commented on METRON-227:
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GitHub user ajayydv opened a pull request:
https://github.com/apache/incubator-metron/pull/188
METRON-227 (Time based flushing)
METRON-227 (Time based flushing)
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ajayydv/incubator-metron METRON-227
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-metron/pull/188.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #188
----
commit 6f091253f3d2716d0c286b2d3a232cd93a4872d2
Author: ajayydv <[email protected]>
Date: 2016-07-13T20:11:37Z
METRON-227 (Time based flushing)
----
> Add Time-Based Flushing to Writer Bolt
> --------------------------------------
>
> Key: METRON-227
> URL: https://issues.apache.org/jira/browse/METRON-227
> Project: Metron
> Issue Type: Bug
> Reporter: Domenic Puzio
> Assignee: Ajay Yadav
> Labels: 0.2.1BETA
> Fix For: 0.2.1BETA
>
>
> We need to change the BulkMessageWriterBolt and BulkWriterComponent to use
> time-based flushing when writing data to Elasticsearch or Solr.
> Currently, we set a batch size, and the Writer waits for that number of
> tuples to build up; however, Storm has a timeout value that prevents it from
> waiting for too long. If the Writer does not get the batch size before the
> timeout, then it recycles the tuples through the topology. In addition, Storm
> only allows so many pending messages that have not been acked - if too many
> messages are waiting for the bulk Writer, then it will recycle them through
> the topology. This is not desired behavior and directly impacts the
> performance of this Writer. We would like to be able to specify a unit of
> time for which the topology would flush, writing the data it's currently
> holding to Elasticsearch or Solr even if the batch size is not met.
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