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From "Dennis Gove (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-10351) Add analyze Stream Evaluator to support streaming NLP
Date Sat, 01 Apr 2017 00:34:41 GMT

    [ https://issues.apache.org/jira/browse/SOLR-10351?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15951863#comment-15951863
] 

Dennis Gove commented on SOLR-10351:
------------------------------------

What's the purpose of a StreamContext in the evaluators?

> Add analyze Stream Evaluator to support streaming NLP
> -----------------------------------------------------
>
>                 Key: SOLR-10351
>                 URL: https://issues.apache.org/jira/browse/SOLR-10351
>             Project: Solr
>          Issue Type: New Feature
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Joel Bernstein
>            Assignee: Joel Bernstein
>              Labels: NLP, Streaming
>             Fix For: 6.6
>
>         Attachments: SOLR-10351.patch, SOLR-10351.patch, SOLR-10351.patch, SOLR-10351.patch
>
>
> The *analyze* Stream Evaluator uses a Solr analyzer to return a collection of tokens
from a *text field*. The collection of tokens can then be streamed out by  the *cartesianProduct*
Streaming Expression or attached to documents as multi-valued fields by the *select* Streaming
Expression.
> This allows Streaming Expressions to leverage all the existing tokenizers and filters
and provides a place for future NLP analyzers to be added to Streaming Expressions.
> Sample syntax:
> {code}
> cartesianProduct(expr, analyze(analyzerField, textField) as outfield )
> {code}
> {code}
> select(expr, analyze(analyzerField, textField) as outfield )
> {code}
> Combined with Solr's batch text processing capabilities this provides an entire parallel
NLP framework. Solr's batch processing capabilities are described here:
> *Batch jobs, Parallel ETL and Streaming Text Transformation*
> http://joelsolr.blogspot.com/2016/10/solr-63-batch-jobs-parallel-etl-and.html



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