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https://issues.apache.org/jira/browse/SOLR-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14703784#comment-14703784
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Joel Bernstein commented on SOLR-7560:
--------------------------------------

I will spend some time working on the documentation. So far the docs mostly 
covers how to form queries.

The link to docs is here: 
https://cwiki.apache.org/confluence/display/solr/Parallel+SQL+Interface

I'll post back to this ticket when I've added the sections on sending the 
query, configuration and the architecture.

If you want to get a jump on things the sample configs in trunk have the 
request handlers already setup. You can take a look at the test cases to see 
how to send a SQL query:

https://svn.apache.org/repos/asf/lucene/dev/trunk/solr/core/src/test/org/apache/solr/handler/TestSQLHandler.java






> Parallel SQL Support
> --------------------
>
>                 Key: SOLR-7560
>                 URL: https://issues.apache.org/jira/browse/SOLR-7560
>             Project: Solr
>          Issue Type: New Feature
>          Components: clients - java, search
>            Reporter: Joel Bernstein
>             Fix For: Trunk
>
>         Attachments: SOLR-7560.calcite.patch, SOLR-7560.patch, 
> SOLR-7560.patch, SOLR-7560.patch, SOLR-7560.patch
>
>
> This ticket provides support for executing *Parallel SQL* queries across 
> SolrCloud collections. The SQL engine will be built on top of the Streaming 
> API (SOLR-7082), which provides support for *parallel relational algebra* and 
> *real-time map-reduce*.
> Basic design:
> 1) A new SQLHandler will be added to process SQL requests. The SQL statements 
> will be compiled to live Streaming API objects for parallel execution across 
> SolrCloud worker nodes.
> 2) SolrCloud collections will be abstracted as *Relational Tables*. 
> 3) The Presto SQL parser will be used to parse the SQL statements.
> 4) A JDBC thin client will be added as a Solrj client.
> This ticket will focus on putting the framework in place and providing basic 
> SELECT support and GROUP BY aggregate support.
> Future releases will build on this framework to provide additional SQL 
> features.



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