[GitHub] [arrow-datafusion] isidentical opened a new issue, #3803: Leverage input array's null buffer for regex replace to optimize sparse arrays

[GitBox <gi...@apache.org>]

isidentical opened a new issue, #3803:
URL: https://github.com/apache/arrow-datafusion/issues/3803

   **Is your feature request related to a problem or challenge? Please describe what you are trying to do.**
   We can repurpose the input string array's null buffer directly on the specialized regex implementation so that we won't be spending time on re-building it.
   
   **Describe the solution you'd like**
   When we know only one input is an array (on the specialized case), we should be able to re-use the existing null buffer. The generic case can also be done in a similar fashion but that would be a bit more hard since now we would need to re-combine 4 null buffers (which might be easy with the underlying bitmap representation, though I doubt it would worth the complexity since the specialized path already covers the generic case).
   
   **Describe alternatives you've considered**
   None.
   
   **Additional context**
   Originally from @Dandandan as part of #3518. 
   


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[GitHub] [arrow-datafusion] alamb closed issue #3803: Leverage input array's null buffer for regex replace to optimize sparse arrays

[GitBox <gi...@apache.org>]

alamb closed issue #3803: Leverage input array's null buffer for regex replace to optimize sparse arrays
URL: https://github.com/apache/arrow-datafusion/issues/3803


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