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https://issues.apache.org/jira/browse/CALCITE-3122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16882531#comment-16882531
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Khai Tran commented on CALCITE-3122:
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Thanks a lot for the review. I will try to address them all, but first I have
question for the second bullet "Can you make {{RelOptCluster.planner}} final
again?"
First I need to do that because I need to use a new planner to optimize an
existing logical plan, as each node in the plan is assigned to a previous
planner, the optimizer will complain that the node belongs to a different
planner. So there is a need to reset the planner for all nodes in the plan and
resetting through RelOptCluster is the easiest way (the other way is to use
RelShuttle to create a plan with the new planner, which I dont think we
currently have).
On the other hand, I saw the pattern of mutable fields in RelOptCluster, so
just wonder if we can do the same for planner. Otherwise, I will need to write
the Shuttle to reset planner for all nodes in the plan.
> 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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