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https://issues.apache.org/jira/browse/CALCITE-3122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16912743#comment-16912743
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Khai Tran commented on CALCITE-3122:
------------------------------------
[~julianhyde] Your commit may not solve the problem. Issue is from this:
if we set `planner =
PigRelPlanner.createPlanner(builder.getCluster().getPlanner(), rules)`, then
all the tests would fail with this exception:
`java.lang.AssertionError: Relational expression LogicalUnion#106 belongs to a
different planner than is currently being used.java.lang.AssertionError:
Relational expression LogicalUnion#106 belongs to a different planner than is
currently being used.
at
org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1633)`
I dont know why we need that check, but that's the root of all issues:
`
if (rel.getCluster().getPlanner() != this) {
throw new AssertionError("Relational expression " + rel
+ " belongs to a different planner than is currently being used.");
}`
> 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
> Assignee: Julian Hyde
> Priority: Major
> Labels: pull-request-available
> Fix For: 1.21.0
>
> 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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