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https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15276480#comment-15276480
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Kevin Risden commented on SOLR-8593:
------------------------------------
Here is a blog post about the concepts and example rules:
https://datapsyche.wordpress.com/2014/08/06/optiq-query-push-down-concepts/
I am pretty sure that Hive uses Calcite internally and that the implementation
would be in that code base. Drill might also have the same join logic in their
code base.
{quote}
Also do we have access to the SQL catalog and statistics from inside the rules
engine. We'll need that information to decide which type of join to do. I guess
we can make the catalog globally accessible if the rules API doesn't provide
hooks into it.
{quote}
There is a computeSelfCost method that has access to the definition of:
{code}
public RelOptCost computeSelfCost(RelOptPlanner planner, RelMetadataQuery mq);
{code}
That should allow us to change which rules are fired based on different cost
parameters.
Also, the different rules can have different prerequisite states such that a
filter is only allowed on a project or something similar. This should allow
fine grained control of a join as well where the join will only fire if it is
based on the sort of the same columns.
> 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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