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https://issues.apache.org/jira/browse/SPARK-29809?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean R. Owen resolved SPARK-29809.
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Resolution: Duplicate
> Missing persist in Word2Vec.fit()
> ---------------------------------
>
> Key: SPARK-29809
> URL: https://issues.apache.org/jira/browse/SPARK-29809
> Project: Spark
> Issue Type: Sub-task
> Components: MLlib
> Affects Versions: 2.4.3
> Reporter: Dong Wang
> Priority: Major
>
> The RDD dataset is used by more than two actions in learnVocab(dataset) and
> doFit. It needs to be persisted.
> {code:scala}
> def fit[S <: Iterable[String]](dataset: RDD[S]): Word2VecModel = {
> // Needs to persist dataset here
> learnVocab(dataset) // has action on dataset
> createBinaryTree()
> val sc = dataset.context
> val expTable = sc.broadcast(createExpTable())
> val bcVocab = sc.broadcast(vocab)
> val bcVocabHash = sc.broadcast(vocabHash)
> try {
> doFit(dataset, sc, expTable, bcVocab, bcVocabHash) // has action on
> dataset
> {code}
> This issue is reported by our tool _CacheCheck_, which is used to dynamically
> detecting persist()/unpersist() api misuses.
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