zhengruifeng opened a new pull request, #58170:
URL: https://github.com/apache/spark/pull/58170

   ### What changes were proposed in this pull request?
   
   This PR changes the temporary per-row count map used by 
`CountVectorizerModel.transform` from
   `OpenHashMap[Int, Double]` to `OpenHashMap[Int, Int]`.
   
   The transform path only increments word counts by one while scanning the 
input document. The
   counts are converted to `Double` when constructing the output sparse vector.
   
   ### Why are the changes needed?
   
   Using integer values in the temporary map reduces memory used while counting 
words for each input
   document. The output vector still uses `Double` values, so the external 
behavior is unchanged.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   Not run; change is covered by existing `CountVectorizerSuite` transform 
coverage.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: Codex (GPT-5)
   


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