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https://issues.apache.org/jira/browse/SPARK-23318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-23318.
-------------------------------
       Resolution: Fixed
    Fix Version/s: 2.4.0

Issue resolved by pull request 20578
[https://github.com/apache/spark/pull/20578]

> FP-growth: WARN FPGrowth: Input data is not cached
> --------------------------------------------------
>
>                 Key: SPARK-23318
>                 URL: https://issues.apache.org/jira/browse/SPARK-23318
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.2.1
>            Reporter: Arseniy Tashoyan
>            Assignee: Arseniy Tashoyan
>            Priority: Minor
>              Labels: MLLib,, fp-growth
>             Fix For: 2.4.0
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> When running FPGrowth.fit() fromĀ _ml_ package, one can see a warning:
> WARN FPGrowth: Input data is not cached.
> This warning occurs even the dataset of transactions is cached.
> Actually this warning comes from the FPGrowth implementation in old _mllib_ 
> package. New FPGrowth performs some transformations on the input data set of 
> transactions and then passes it to the old FPGrowth - without caching. Hence 
> the warning.
> The problem looks similar to SPARK-18356
>  If you don't mind, I can push a similar fix:
> {code}
> // ml.FPGrowth
> val handlePersistence = dataset.storageLevel == StorageLevel.NONE
> if (handlePersistence) {
>   // cache the data
> }
> // then call mllib.FPGrowth
> // finally unpersist the data
> {code}



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