berkaysynnada opened a new pull request, #8653:
URL: https://github.com/apache/arrow-datafusion/pull/8653

   ## Which issue does this PR close?
   
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   The continuation of the work initiated in 
https://github.com/apache/arrow-datafusion/pull/8395. It could also be 
beneficial for https://github.com/apache/arrow-datafusion/pull/7942.
   
   ## Rationale for this change
   
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    Why are you proposing this change? If this is already explained clearly in 
the issue then this section is not needed.
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   `TreeNode` implementations of some optimizer rules are challenging to 
understand and are open to misuse. This refactor standardizes the 
implementations and eliminates unnecessary payloads.
   
   ## What changes are included in this PR?
   
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   These implementations have been refactored:
   1) DistributionContext
   2) PlanWithCorrespondingSort
   3) PlanWithCorrespondingCoalescePartitions
   4) PipelineStatePropagator
   5) OrderPreservationContext
   6) SortPushDown
   7) ExprOrdering
   
   `map_children()` functions of these implementations are now uniform. 
Previously, some of the rules were in `map_children()`, others were in some 
utils such as `new_from_children()`, and some were in transformer rules. This 
distributed structure made understanding and maintenance difficult. All these 
rules have now been moved into functions used as transform arguments on the 
optimizer part.
   
   Since Datafusion trees generally consist of nodes that store their children, 
each transform can implicitly have bottom-up transform capability. In some uses 
of `transform_up()`, after updating the children of the self node, additional 
logic is added during their attachment to the self node. This practice has been 
avoided. Now, all `map_children()` does is attach the updated children to the 
default-created self node without any modification of the self node.
   
   A similar situation may cause an algorithm that is expected to perform` 
transform_down()` to perform an implicit `transform_up()` if the 
`map_children()` implementation of the rule that perform `transform_down()` 
includes some logic. Perhaps a more comprehensive tree visitor-transformer 
design can be planned to address this issue.
   
   ## Are these changes tested?
   
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   Yes, with existing tests.
   
   ## Are there any user-facing changes?
   
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