andygrove opened a new pull request, #863:
URL: https://github.com/apache/datafusion-comet/pull/863

   ## Which issue does this PR close?
   
   <!--
   We generally require a GitHub issue to be filed for all bug fixes and 
enhancements and this helps us generate change logs for our releases. You can 
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   Related to https://github.com/apache/datafusion-comet/issues/798
   
   ## Rationale for this change
   
   <!--
    Why are you proposing this change? If this is already explained clearly in 
the issue then this section is not needed.
    Explaining clearly why changes are proposed helps reviewers understand your 
changes and offer better suggestions for fixes.  
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   Add benchmarks to show performance of disabling native scan and converting 
spark columnst to Comet (currently performed via converting to row first).
   
   ## What changes are included in this PR?
   
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   There is no need to duplicate the description in the issue here but it is 
sometimes worth providing a summary of the individual changes in this PR.
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   - Remove `SPARK_GENERATE_BENCHMARK_FILES=1` from documentation because we 
have no such feature (there is no other reference to this env var in our 
codebase as far as I can tell)
   - Add new combination to existing benchmarks
   
   ## How are these changes tested?
   
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   ```
   AMD Ryzen 9 7950X3D 16-Core Processor
   TPCDS Snappy:                             Best Time(ms)   Avg Time(ms)   
Stdev(ms)    Rate(M/s)   Per Row(ns)   Relative
   
------------------------------------------------------------------------------------------------------------------------
   q3: Spark Scan + Spark Exec                         159            171       
   14        182.8           5.5       1.0X
   q3: Comet Scan + Spark Exec                         182            201       
   13        159.2           6.3       0.9X
   q3: Comet Scan + Comet Exec                         216            240       
   17        134.2           7.5       0.7X
   q3: Spark Scan + Comet Exec                         450            458       
    9         64.4          15.5       0.4X
   ```
   


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