zhengruifeng opened a new pull request, #58325:
URL: https://github.com/apache/spark/pull/58325

   ### What changes were proposed in this pull request?
   
   This follow-up to #58170 starts the `CountVectorizerModel` count filtering 
and conversion
   pipelines from an iterator for both binary and non-binary output.
   
   ### Why are the changes needed?
   
   `OpenHashMap` is a strict `Iterable`, so calling `filter` and `map` on it 
materializes intermediate
   collections for every transformed document. Using its iterator keeps those 
operations lazy and
   materializes only the sequence required by `Vectors.sparse`.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Not run. This only changes collection evaluation from strict to lazy; 
existing
   `CountVectorizerSuite` transform tests cover the output behavior. `git diff 
--check` passes.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: Codex (GPT-5)
   


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