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From "Joel Bernstein (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-10402) Add extract Streaming Expression to support scalable extraction services
Date Sun, 02 Apr 2017 20:04:41 GMT

     [ https://issues.apache.org/jira/browse/SOLR-10402?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Joel Bernstein updated SOLR-10402:
----------------------------------
    Description: 
The *extract* Streaming Expression is designed to offload extraction services, such as Apache
Tika, to worker nodes. This will allow a separate Solr Cloud collection to perform the heavyweight
extractions and then send the results to a Solr Cloud collection for indexing. 

By leveraging the Solr parallel executor framework (http://joelsolr.blogspot.com/2017/01/deploying-solrs-new-parallel-executor.html)
and worker nodes we should be able to deploy massively scalable extraction services.

  was:
The *extract* Streaming Expression is designed to offload extraction services, such as Apache
Tika, to worker nodes. This will allow a separate Solr Cloud cluster to perform the heavyweight
extractions and then send the results to a Solr Cloud collection for indexing. 

By leveraging the Solr parallel executor framework (http://joelsolr.blogspot.com/2017/01/deploying-solrs-new-parallel-executor.html)
and worker nodes we should be able to deploy massively scalable extraction services.


> Add extract Streaming Expression to support scalable extraction services 
> -------------------------------------------------------------------------
>
>                 Key: SOLR-10402
>                 URL: https://issues.apache.org/jira/browse/SOLR-10402
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Joel Bernstein
>
> The *extract* Streaming Expression is designed to offload extraction services, such as
Apache Tika, to worker nodes. This will allow a separate Solr Cloud collection to perform
the heavyweight extractions and then send the results to a Solr Cloud collection for indexing.

> By leveraging the Solr parallel executor framework (http://joelsolr.blogspot.com/2017/01/deploying-solrs-new-parallel-executor.html)
and worker nodes we should be able to deploy massively scalable extraction services.



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