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From "Joel Bernstein (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-8593) Integrate Apache Calcite into the SQLHandler
Date Mon, 21 Mar 2016 19:33:25 GMT

    [ https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15204946#comment-15204946
] 

Joel Bernstein commented on SOLR-8593:
--------------------------------------


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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