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https://issues.apache.org/jira/browse/SOLR-7560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14590651#comment-14590651
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Joel Bernstein commented on SOLR-7560:
--------------------------------------
Just blew away the ivy cache, did a fresh truck checkout and 'ant compile'. The
compile was successful but I did get these warnings:
ivy:retrieve] :::: WARNINGS
[ivy:retrieve] problem while downloading module descriptor:
http://repo1.maven.org/maven2/com/facebook/presto/presto-parser/0.107/presto-parser-0.107.pom:
invalid sha1: expected=7f2f854a24db4cc9b5c26c3e9c6e46da37abbed1
computed=661fee4927f5b356f91880c308e5bf586568ff3c (180ms)
[ivy:retrieve] problem while downloading module descriptor:
http://repo1.maven.org/maven2/com/facebook/presto/presto-root/0.107/presto-root-0.107.pom:
invalid sha1: expected=3e2a2729fd8b728fdc29c4062f5dc9a138c433cd
computed=2cdf6c93caab02a26e6280862ed25452b862e5bf (218ms)
[ivy:retrie
I'll take a look and see what the issue is.
> 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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