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From "Joel Bernstein (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-7560) Parallel SQL Support
Date Wed, 26 Aug 2015 03:42:47 GMT

    [ https://issues.apache.org/jira/browse/SOLR-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14712441#comment-14712441
] 

Joel Bernstein commented on SOLR-7560:
--------------------------------------

SOLR-7903 and SOLR-7905 are currently being worked on. Field aliases are the next thing I'd
like to tackle,  but there isn't a ticket for it yet.

Presto is currently only used to parse the SQL queries. The code for this is in the SQLHandler.

One area that might be interesting for you to think about is the JDBC driver. If you wanted
to create a ticket for that I'd be happy to help with the design.

> 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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