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Posted to dev@lucene.apache.org by "Joel Bernstein (JIRA)" <ji...@apache.org> on 2016/05/09 14:25:12 UTC
[jira] [Commented] (SOLR-8593) Integrate Apache Calcite into the
SQLHandler
[ https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15276420#comment-15276420 ]
Joel Bernstein commented on SOLR-8593:
--------------------------------------
[~risdenk], I've been reviewing the work on https://github.com/risdenk/solr-calcite-example.
I think I understand the basics of how this works but there are some mysteries as to how exactly the rules get triggered and where to place rules like join push downs.
Do you know of an existing adapter that does join push downs that can be used a reference implementation?
And what's the best source of documentation for implementing rules? I haven't found anything that I would describes as comprehensive.
> 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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