alexeykudinkin opened a new pull request #4996:
URL: https://github.com/apache/hudi/pull/4996


   ## *Tips*
   - *Thank you very much for contributing to Apache Hudi.*
   - *Please review https://hudi.apache.org/contribute/how-to-contribute before 
opening a pull request.*
   
   ## What is the purpose of the pull request
   
   Supporting Composite Expressions (including standard Spark functions and 
UDFs) as Filter Expressions in Data Skipping flow.
   
   For example, if previously we were only supporting rather simple expressions 
over Data Table attributes like `WHERE columnA = 42`, now we will be supporting 
much broader scope of expressions (strictly defined below) allowing for example 
Data Skipping to properly digest queries like `WHERE date_format(columnA, 
'MM/dd/yyyy') = '01/01/2022'` referencing Spark's standard function 
`date_format`.
   
   Formally, now supported are any expressions such that it
   
   1. References exactly 1 attribute (column, meaning that expressions like `A 
* B = 0` are not supported)
   2. Does not contain sub-queries 
   
   Also, now as "value expression" we support any expression such that it
   
   1. Does not reference any other attribute (`A = B` filters are not supported)
   2. Does not contain sub-queries 
   
   ## Brief change log
   
    - Expanded scope for value expressions
    - Expanded scope for attribute expressions
    - Fixed `resolveExpr` util to properly resolve Spark functions
    - Grouped together logically equivalent expressions
    - Added tests
   
   ## Verify this pull request
   
   This pull request is already covered by existing tests, such as *(please 
describe tests)*.
   This change added tests
   
   ## Committer checklist
   
    - [ ] Has a corresponding JIRA in PR title & commit
    
    - [ ] Commit message is descriptive of the change
    
    - [ ] CI is green
   
    - [ ] Necessary doc changes done or have another open PR
          
    - [ ] For large changes, please consider breaking it into sub-tasks under 
an umbrella JIRA.
   


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