[
https://issues.apache.org/jira/browse/CALCITE-3122?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884256#comment-16884256
]
Julian Hyde commented on CALCITE-3122:
--------------------------------------
*RelOptCluster.planner*. I need to investigate.
*PigRelbuilder and LogicalPigRelBuilder*. I agree they can be in piglet. Let's
deprecate the {{PigRelBuilder}} in core, and the new class doesn't need to
inherit from it. The new class can be called {{PigRelBuilder}}, if you wish.
*ToLogicalConverter and RelBuilder*. I'm not sure what the deficiencies are,
but a hybrid approach will work fine, because you can push a {{RelNode}} onto
{{RelBuilder}}'s stack even if {{RelBuilder}} didn't make it. Have a
{{RelBuilder}} instantiated in {{ToLogicalConverter}}, and use it when
possible, and if not possible call the respective {{RelNodeSubClass.create}}
method. Over time we can extend {{RelBuilder}} and remove those {{create}}
calls.
> 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
--
This message was sent by Atlassian JIRA
(v7.6.14#76016)
