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https://issues.apache.org/jira/browse/SOLR-9240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joel Bernstein updated SOLR-9240:
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Attachment: SOLR-9240.patch
New patch that fixes some tests that were broken in the initial patch.
> Support running the topic() Streaming Expression in parallel mode.
> ------------------------------------------------------------------
>
> Key: SOLR-9240
> URL: https://issues.apache.org/jira/browse/SOLR-9240
> Project: Solr
> Issue Type: Improvement
> Reporter: Joel Bernstein
> Assignee: Joel Bernstein
> Attachments: SOLR-9240.patch, SOLR-9240.patch
>
>
> Currently the topic() function won't run in parallel mode because each worker
> needs to maintain a separate set of checkpoints. The proposed solution for
> this is to append the worker ID to the topic ID, which will cause each worker
> to have it's own checkpoints.
> It would be useful to support parallelizing the topic function because it
> will provide a general purpose approach for processing text in parallel
> across worker nodes.
> For example this would allow a classify() function to be wrapped around a
> topic() function to classify documents in parallel across worker nodes.
> Sample syntax:
> {code}
> parallel(daemon(update(classify(topic(..., partitionKeys="id")))))
> {code}
> The example above would send a daemon to worker nodes that would classify all
> documents returned by the topic() function. The update function would send
> the output of classify() to a SolrCloud collection for indexing.
> The partitionKeys parameter would ensure that each worker would receive a
> partition of the results returned by the topic() function. This allows the
> classify() function to be run in parallel.
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