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https://issues.apache.org/jira/browse/SOLR-8593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15752570#comment-15752570
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Joel Bernstein commented on SOLR-8593:
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I just pushed out a commit to the solr/jira-8593 branch:

https://github.com/apache/lucene-solr/commit/37fdc37fc3d88054634482d39b5774893751f91f

This is a pretty large refactoring of the SolrTable class which includes 
implementations for aggregationMode=facet for both GROUP BY aggregations and 
SELECT DISTINCT aggregations.

All test is TestSQLHandler are passing.

There is only one thing that I'm not quite happy about in this patch which is 
specific to Calcite. I am wondering if [~julianhyde] has any thoughts on the 
issue. The specific issue deals with how the set of GROUP BY fields is dealt 
with in Calcite. From what I can see there isn't an easy way to get the 
ordering of the GROUP BY fields preserved from the query. The Solr faceting 
implementations requires the correct order of the GROUP BY fields to return a 
correct response. So, I'm getting the ordering from the field list of the query 
instead. This may actually be the correct approach from a SQL standpoint but I 
was wondering what Julian thought about this issue.


 

> 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
>            Assignee: Joel Bernstein
>         Attachments: SOLR-8593.patch, SOLR-8593.patch
>
>
>    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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