andygrove opened a new issue, #4050:
URL: https://github.com/apache/datafusion-comet/issues/4050

   ### What is the problem the feature request solves?
   
   It is important to keep track of which Spark expressions are implemented / 
not implemented yet. It is also important to understand all compatibility 
issues, and these can be specific to Spark versions. When new Spark versions 
are released, we need to re-audit against those versions.
   
   We need a solid process around this, rather than the current best-effort 
approach. It is important to know current compatibility status and have this 
well documented, even if there are known gaps and issues.
   
   At a high level, I think we need to capture current status in a format that 
serves as the single source-of-truth which can be used to generate 
documentation and to validate that we have sufficient test coverage.
   
   We could do this in a file-based format, such as one large yaml file, or one 
yaml file per expression. Another option could be to use annotations in the 
Scala code (such as in the serde framework). A file-based approach would be 
less strain on CI when we make changes.
   
   We would also need good contributor guide documentation and/or Claude skills 
related to this.
   
   Scripts / skills needed:
   
   - Verify that that the yaml file(s) are consistent with the current 
implementation
   - Run an audit task against a new Spark version and update yaml file to 
track potential issues that need to be investigated
   - Generate user-facing documentation from this file (compatibility guide, 
list of supported expressions)
   
   
   
   ### Describe the potential solution
   
   _No response_
   
   ### Additional context
   
   _No response_


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