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https://issues.apache.org/jira/browse/CALCITE-3122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16858915#comment-16858915
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Julian Hyde commented on CALCITE-3122:
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I'm very excited about this. It makes it possible for people to run Pig scripts
on any platform supported by Calcite. I know there are lot of organizations
that use Pig but would love some flexibility as to which engine they use.
I'm hoping that the contribution comes with a comprehensive set of tests, so
that we can continue to maintain it. Maybe 1,000 isn't necessary, but enough to
test all common combinations of Pig's features.
The latest branch is [master|https://github.com/apache/calcite/commits/master],
as always. If you are able to rebase onto a relatively recent version of master
then we can start reviewing, and consider for inclusion in 1.21.
> Convert Pig Latin scripts into Calcite logical plan
> ----------------------------------------------------
>
> Key: CALCITE-3122
> URL: https://issues.apache.org/jira/browse/CALCITE-3122
> Project: Calcite
> Issue Type: New Feature
> Components: core, piglet
> Reporter: Khai Tran
> Priority: Major
>
> We create an internal Calcite repo at LinkedIn and develop APIs to parse any
> Pig Latin scripts into Calcite logical plan. The code was tested in nearly
> ~1000 Pig scripts written at LinkedIn.
> Changes:
> 1. piglet: main conversion code live there, include:
> * APIs to convert any Pig scripts into RelNode plans or SQL statements
> * Use Pig Grunt parser to parse Pig Latin scripts into Pig logical plan
> (DAGs)
> * Convert Pig schemas into RelDatatype
> * Traverse through Pig expression plan and convert Pig expressions into
> RexNodes
> * Map some basic Pig UDFs to Calcite SQL operators
> * Build Calcite UDFs for any other Pig UDFs, including UDFs written in both
> Java and Python
> * Traverse (DFS) through Pig logical plans to convert each Pig logical nodes
> to RelNodes
> * Have an optimizer rule to optimize Pig group/cogroup into Aggregate
> operators
> 2. core:
> * Implement other RelNode in Rel2Sql so that Pig can be translated into SQL
> * Other minor changes in a few other classes to make Pig to Calcite works
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