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https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15204946#comment-15204946
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Joel Bernstein commented on SOLR-8593:
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If wrapping this logic up inside a Calcite adapter makes things easier then I'm
all for it. But I get worried that we'll be roped into how Calcite does things.
For example Solr has shuffling capabilities that will make for some some very
fast Joins. Will we be able to access these features through a calcite adapter
or will we have to use calcites join techniques.
I'll read up on creating a Calcite adapter.
> 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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