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https://issues.apache.org/jira/browse/CALCITE-4677?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17377736#comment-17377736
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ZiLin Chen commented on CALCITE-4677:
-------------------------------------

[~hyuan] I agree that rules matching physical nodes are not really cascades 
style, although it is flexible. So it become a compatible  problem ? The reason 
why I choose to use rules matching physical nodes is that in some case, 
specific physical operator can provide specific property, which is unrealistic 
to add it to trait, but it is more efficient and easy to use a rule matching 
physical operator to achieve the goal. If it is a compatible problem, the piece 
of code in DeriveTraitTask will become misleading, because at most of time it 
can satisfy my requirement.

> Different physical conventions conversion on  new physical node producing
> -------------------------------------------------------------------------
>
>                 Key: CALCITE-4677
>                 URL: https://issues.apache.org/jira/browse/CALCITE-4677
>             Project: Calcite
>          Issue Type: Bug
>          Components: core
>    Affects Versions: 1.28.0
>            Reporter: ZiLin Chen
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 20m
>  Remaining Estimate: 0h
>
> Whenever new physical nodes are on produce, we need to fire rules in case of 
> different physical conventions conversion.
> DeriveTrait Task deal with this case, while some physical node maybe missing.
>  
> There 3 rules, but in TopDownRuleDriver rule 3 can not be applied.
> 1. LogicalSortToTopNRule
> 2. LogicalSortToLimitMemSortRule
> 3. TopNToSomeRelNodeRule (Need Match Physical Convention Node like TopN)
>  
> LogicalAggreate          -> 1. RelSet1 
>   - LogicalSort              -> 2. RelSet2 fires LogicalSortToTopNRule and 
> LogicalSortToLimitMemSortRule
>     - OtherNode             -> 3. RelSet3
>  
> ApplyRuleTask LogicalSortToLimitMemSortRule is already scheduled.
> ApplyRuleTask LogicalSortToTopNRule still on the stack.
>  
> when RelSet3 on Merge (Merge with other RelSets), then RelSet2 
> clearProcessed(): subset.resetTaskState() and then RelSet1 clearProcessed(): 
> subset.resetTaskState()
> because RelSet1 is root so OptimizeGroup will be scheduled again
>  
> Now the task stack
>  Task Stack:
> Task about RelSet1
> Task about RelSet2 ApplyRuleTask LogicalSortToTopNRule
> Task about RelSet3
> Task about RelSet1 root schedule again
> Task about RelSet2
> Task about RelSet3 (current task)
>  
> next
> Task Stack:
> Task about RelSet1
> Task about RelSet2
> Task about RelSet3
> Task about RelSet1 
> Task about RelSet2 RelSubSet setOptimized so taskState -> Completed.  rels on 
> RelSet (LogicalSort and LimitMemSort)
>  
> next...
> Task Stack:
> Task about RelSet1
> Task about RelSet2 ApplyRuleTask LogicalSortToTopNRule. 
> Here we found when TopN is on produce, every RelSubSet can not fire 
> OptimizeInputTask. so TopNToSomeRelNodeRule can not fire 



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