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https://issues.apache.org/jira/browse/SPARK-59152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ruifeng Zheng updated SPARK-59152:
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Fix Version/s: 4.4.0
> Create CountVectorizer broadcast per transform
> ----------------------------------------------
>
> Key: SPARK-59152
> URL: https://issues.apache.org/jira/browse/SPARK-59152
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib
> Affects Versions: 5.0.0
> Reporter: Ruifeng Zheng
> Assignee: Ruifeng Zheng
> Priority: Major
> Labels: pull-request-available
> Fix For: 5.0.0, 4.4.0
>
>
> CountVectorizerModel currently retains a broadcast dictionary as model state.
> Create the dictionary and its broadcast for each transform call so
> transformation-only state follows the returned lazy DataFrame lifecycle, does
> not remain attached to the model, and is not reused across SparkContexts.
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