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https://issues.apache.org/jira/browse/SOLR-10351?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15951915#comment-15951915
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Dennis Gove commented on SOLR-10351:
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That makes sense and I agree that it probably makes sense to include it in
evaluators. In the most recent patch for SOLR-10356 (planning to commit to
master and branch_6x tonight) I've refactored it a little bit to move the
implementation {code}public void setStreamContext(StreamContext
streamContext){code} back a level into ComplexEvaluator.
> 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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