[jira] [Updated] (SOLR-9240) Support parallel ETL with the topic expression

["Joel Bernstein (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SOLR-9240?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joel Bernstein updated SOLR-9240:
---------------------------------
    Summary: Support parallel ETL with the topic expression  (was: Support running the topic() Streaming Expression in parallel mode.)

> Support parallel ETL with the topic expression
> ----------------------------------------------
>
>                 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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