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https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15204891#comment-15204891
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Kevin Risden commented on SOLR-8593:
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[~joel.bernstein] - I took a much closer look at Calcite and the SOLR-7560
patch. I think there can be a much simpler approach than implementing the
parsing and catalog separately. If a Calcite adaptor is built that enables
Calcite to access Solr this would solve a lot of problems at once potentially.
Calcite has a local JDBC connection which you can just pass in a SQL query and
get back a result set. This local JDBC connection could be wrapped in a stream
and returned from the /sql handler. This would remove the need for the
limit/having/etc streams that currently exist. The logic for pushing down
having/limit/etc would have to be moved into how Calcite does the processing.
This should make the SQL handler much simpler since it would pass off much of
the work its doing to Calcite. The downside to this approach is that much of
the logic would be Calcite specific and need to figure out exactly which hooks
to tie into.
> Integrate Apache Calcite into the SQLHandler
> --------------------------------------------
>
> Key: SOLR-8593
> URL: https://issues.apache.org/jira/browse/SOLR-8593
> Project: Solr
> Issue Type: Improvement
> Reporter: Joel Bernstein
> Fix For: master
>
>
> The Presto SQL Parser was perfect for phase one of the SQLHandler. It was
> nicely split off from the larger Presto project and it did everything that
> was needed for the initial implementation.
> Phase two of the SQL work though will require an optimizer. Here is where
> Apache Calcite comes into play. It has a battle tested cost based optimizer
> and has been integrated into Apache Drill and Hive.
> This work can begin in trunk following the 6.0 release. The final query plans
> will continue to be translated to Streaming API objects (TupleStreams), so
> continued work on the JDBC driver should plug in nicely with the Calcite work.
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