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https://issues.apache.org/jira/browse/SPARK-61158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61158.
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Resolution: Fixed
Issue resolved by pull request 347
[https://github.com/apache/spark-connect-rust/pull/347]
> Delete the cached server model of a native LinearSVC or LogisticRegression
> fit when its last owner is dropped, as pyspark.ml does
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61158
> URL: https://issues.apache.org/jira/browse/SPARK-61158
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> A fitted native LinearSVC or LogisticRegression model is cached on the Spark
> Connect server, and the cache entry was never released: the client never sent
> MlCommand.Delete. Ten fits followed by del and gc.collect() left ten models
> in MlCommand.GetCacheInfo for the session, where pyspark.ml leaves none,
> because its RemoteModelRef deletes the cached model when the last model, copy
> or transformed DataFrame that refers to it goes.
> The fix shares the cached model between a model, its clones and every
> DataFrame it transforms, and sends MlCommand.Delete on the fitting session
> from the drop of the last owner, without waiting for the server.
> Repro: fit LinearSVC(maxIter=2) ten times in one session, del each model,
> gc.collect(), then count the entries of MlCommand.GetCacheInfo: ours 10,
> official pyspark.ml 0.
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