VVKot opened a new pull request, #11509:
URL: https://github.com/apache/arrow-rs/pull/11509

   # Which issue does this PR close?
   
   Benchmark coverage for a follow-up primitive filtering optimization.
   
   # Rationale for this change
   
   The existing filter benchmarks cover three random densities. This adds 
random and clustered masks across six target densities, with widths from u8 to 
i128 and nullable i64.
   
   # What changes are included in this PR?
   
   A Criterion target calls the public FilterPredicate API over 64 
deterministic masks of 8192 rows each. Lazy and optimized predicates use 
identical masks; preparation is excluded from timing. The existing 
filter_kernels target covers preparation-inclusive filtering.
   
   # Are these changes tested?
   
   All 120 benchmark cases execute locally. The workspace tests and all-feature 
Clippy pass.
   
   # Are there any significant user-facing changes?
   
   None.
   
   AI-assisted contribution authored with Codex.
   


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