[SPARK-58606][ML] Move association-rule collection and preparation in FPGrowthModel transform from driver to executors - #57806
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What changes were proposed in this pull request?
This PR replaces the manually collected association-rule array and user-defined function in
FPGrowthModel.transformwith DataFrame operations. It joins input transactions with matching rules, aggregates consequents for each input row, and usesarray_exceptto exclude items already present in the transaction.The join has no broadcast hint, so Catalyst may use a broadcast nested-loop join only when the plan statistics consider a side small enough.
Why are the changes needed?
Collecting every association rule before a transform creates avoidable driver-memory pressure, particularly for Spark Connect server workloads with many rules.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
build/sbt -java-home /usr/lib/jvm/java-17-openjdk-amd64 mllib/compileFPGrowthSuitehas not been run locally yet.Was this patch authored or co-authored using generative AI tooling?
Generated-by: Codex (GPT-5)