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https://issues.apache.org/jira/browse/SOLR-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14591948#comment-14591948
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Joel Bernstein commented on SOLR-7560:
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[~cpoerschke], thanks for the comments and the link was very informative. Just
tried another fresh pull and the warnings are still there so the SHA1 files
haven't been updated yet.
A couple things I'd like to understand better based on your comments:
1) How come your builds were failing, while mine were successful with warnings?
Are you building with Maven?
2) Before a release it will be important to nail down the correct ivy conf.
What should the scope be and whether to include all the Presto Parser decencies
or just the ones being used in this ticket. This ticket uses about 10% of the
full capabilities of the Presto Parser so I didn't want to have un-needed jars
in the release, but possibly that was not the right decision.
> 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: 5.3
>
> Attachments: 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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