mustafasrepo opened a new pull request, #9346:
URL: https://github.com/apache/arrow-datafusion/pull/9346

   ## Which issue does this PR close?
   
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   Closes #.
   
   ## Rationale for this change
   In great analysis by @gruuya  at the issue 
[9084](https://github.com/apache/arrow-datafusion/issues/9084). @gruuya  
recognized that stack usage (depth) increases a lot during logical and physical 
planning. The root cause of aggressive stack usage is 
   - In the logical planning is excessive use of `.clone` of `LogicalPlan` 
enum. 
   - In physical planning is the recursive function calls in the getter `API`s 
of the `Arc<dyn ExecutionPlan>`, such as `EquivalenceProperties`, 
`output_partitioning`, `output_ordering`, etc. 
   
   In the [PR9084](https://github.com/apache/arrow-datafusion/issues/9084), 
@gruuya  could reduce physical plan stack usage by caching 
`equivalence_properties` for `ProjectionExec`. 
   
   This PR introduces a new struct to cache PlanProperties 
(`PlanPropertiesCache`). With this struct, `schema`, `output_partitioning`, 
`equivalence_properties`, `output_ordering` is cached. This caching mechanism 
removes recursive calls during getter methods. Also, given `.cache` method is 
implemented, default implementations of the `.output_partitioning`, 
`.equivalence_properties`, `output_ordering` works out of the box.
   
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   With these changes stack depth decreases  considerably, Since recursive 
calls are eliminated in the `PhysicalPlan`. 
   As an example Flame graph for the query 54 is converted from following graph
   
![flamegraph_main_q54](https://github.com/synnada-ai/datafusion-upstream/assets/106137913/7ca67ebb-8153-479c-8c34-2f52a0040608)
   
   to following graph
   
   
![flamegraph_branch_q54](https://github.com/synnada-ai/datafusion-upstream/assets/106137913/d4fe4b90-ecc5-47d1-b8a4-93be2c49384d).
   
   ## What changes are included in this PR?
   
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   ## Are these changes tested?
   
   Existing tests should work
   
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   ## Are there any user-facing changes?
   
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   `api change`
   


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