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https://issues.apache.org/jira/browse/METRON-227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15380017#comment-15380017
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ASF GitHub Bot commented on METRON-227:
---------------------------------------

Github user ajayydv commented on a diff in the pull request:

    https://github.com/apache/incubator-metron/pull/188#discussion_r71033393
  
    --- Diff: 
metron-platform/metron-integration-test/src/main/config/zookeeper/global.json 
---
    @@ -7,10 +7,12 @@
       "solr.collection": "metron",
       "solr.numShards": 1,
       "solr.replicationFactor": 1,
    +  "flushIntervalInMs": "20000",
    +  "flushOnTimeout": "false",
    --- End diff --
    
    Agree that flushIntervalInMs is dependent on other flag but if we think 
from user perspective both have different meaning. 


> 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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