alamb opened a new issue, #10606:
URL: https://github.com/apache/datafusion/issues/10606

   ### Is your feature request related to a problem or challenge?
   
   Part of https://github.com/apache/datafusion/issues/10453 
   
   Part of https://github.com/apache/datafusion/issues/10453 is to 
"efficiently" extract statistics from parquet files. The current code is likely 
quite bad, but we have no benchmarks that actually show that or allow for us to 
get better
   
   ### Describe the solution you'd like
   
   I would like to create a benchmark, run like `cargo bench ...` that does:
   1. Creates a parquet file that has 100 row groups once
   2. Read the parquet metadata out
   3. in the loop extracts the statistics from the metadata  into Arrow 
statistics (using the API introduced in 
https://github.com/apache/datafusion/pull/10537) -- not it shouldn't including 
reading the metadata from the parquet file
   
   
   I suggest four benchmarks with different types:
   1. UInt64
   2. f64
   3. String
   4. Dictionary(Int32, String) 
   
   ### Describe alternatives you've considered
   
   _No response_
   
   ### Additional context
   
   _No response_


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