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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Work logged] (BEAM-4388) Support optimized logical plan
Date Mon, 04 Jun 2018 10:25:00 GMT

     [ https://issues.apache.org/jira/browse/BEAM-4388?focusedWorklogId=108495&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-108495
]

ASF GitHub Bot logged work on BEAM-4388:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Jun/18 10:24
            Start Date: 04/Jun/18 10:24
    Worklog Time Spent: 10m 
      Work Description: vectorijk commented on a change in pull request #5481: [BEAM-4388]
Support optimized logical plan
URL: https://github.com/apache/beam/pull/5481#discussion_r192693921
 
 

 ##########
 File path: sdks/java/extensions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/planner/BeamQueryPlanner.java
 ##########
 @@ -148,12 +156,39 @@ public BeamRelNode convertToBeamRel(String sqlStatement)
               .replace(BeamLogicalConvention.INSTANCE)
               .replace(root.collation)
               .simplify();
-      beamRelNode = (BeamRelNode) planner.transform(0, desiredTraits, root.rel);
 
 Review comment:
   recovered

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 108495)
    Time Spent: 1h 50m  (was: 1h 40m)

> Support optimized logical plan
> ------------------------------
>
>                 Key: BEAM-4388
>                 URL: https://issues.apache.org/jira/browse/BEAM-4388
>             Project: Beam
>          Issue Type: Sub-task
>          Components: dsl-sql
>            Reporter: Kai Jiang
>            Assignee: Kai Jiang
>            Priority: Major
>          Time Spent: 1h 50m
>  Remaining Estimate: 0h
>
> Before converting into Beam Pipeline physical plan, logical plan should be optimized
and it will be super helpful for efficiently executing Beam PTransforms pipeline. 
> Calcite has two ways for optimizing logical plan (HepPlanner and VolcanoPlanner). We
can support VolcanoPlanner first and apply calcite builtin optimize rules (like 
> FilterJoinRule.FILTER_ON_JOIN) to sql query optimize plans.



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