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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2017/05/05 17:29:04 UTC
[jira] [Resolved] (SOLR-10351) Add analyze Stream Evaluator to
support streaming NLP
[ https://issues.apache.org/jira/browse/SOLR-10351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joel Bernstein resolved SOLR-10351.
-----------------------------------
Resolution: Resolved
Fix Version/s: master (7.0)
> 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, master (7.0)
>
> 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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