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https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15207593#comment-15207593
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Joel Bernstein edited comment on SOLR-8593 at 3/23/16 12:25 AM:
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I looked through the code and I'm seeing how CloudSolrStream is being used. But
it's not clear to me we'll be able to implement the full range of capabilities
through this approach.
For example:
1) Can we choose between the FacetStream and a parallel RollupStream based on
the costs of the different approaches?
2) Can we do parallel joins using Solr's shuffling capabilities and Solr
workers?
was (Author: joel.bernstein):
I looked through the code and I'm seeing how CloudSolrStream is being used. But
it's not clear to me we'll be able to implement that full range of capabilities
through this approach.
For example:
1) Can we choose between the FacetStream and a parallel RollupStream based on
the costs of the different approaches?
2) Can we do parallel joins using Solr's shuffling capabilities and Solr
workers?
> 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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