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https://issues.apache.org/jira/browse/CALCITE-3122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884252#comment-16884252
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Khai Tran commented on CALCITE-3122:
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[~julianhyde]: Fixed all issues except 3 following:
* "Can you make {{RelOptCluster.planner}} final again?" -> discussed above
* "Do we need {{PigRelBuilder}} and {{LogicalPigRelBuilder}} to be separate
classes?" -> we should merge them into one, but PigRelBuilder is in core and
LogicalPigRelBuilder is in piglet. I think we should move the merged code into
piglet. As PigRelBuilder is not my code and I'm not sure if that affects anyone?
* "{{ToLogicalConverter}} would be more robust and flexible if you used a
{{RelBuilder}} rather than calling {{RelNode.create}} methods explicitly" ->
RelBuilder is not powerful enough to create all nodes needed for the
conversion. I tried but giving up in the middle as it's ugly to use both ways
at the same time.
Please let me know how you want to go for those options. I will fix them in the
next round.
> 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
> Labels: pull-request-available
> Time Spent: 1h 10m
> Remaining Estimate: 0h
>
> 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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