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From "Yanbo Liang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-17986) SQLTransformer leaks temporary tables
Date Sat, 22 Oct 2016 09:06:58 GMT

     [ https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yanbo Liang updated SPARK-17986:
--------------------------------
    Affects Version/s:     (was: 2.0.1)

> SQLTransformer leaks temporary tables
> -------------------------------------
>
>                 Key: SPARK-17986
>                 URL: https://issues.apache.org/jira/browse/SPARK-17986
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>            Reporter: Drew Robb
>            Assignee: Drew Robb
>            Priority: Minor
>             Fix For: 2.0.2, 2.1.0
>
>
> The SQLTransformer creates a temporary table when called, and does not delete this temporary
table. When using a SQLTransformer in a long running Spark Streaming task, these temporary
tables accumulate.
> I believe that the fix would be as simple as calling  `dataset.sparkSession.catalog.dropTempView(tableName)`
in the last part of `transform`:
> https://github.com/apache/spark/blob/v2.0.1/mllib/src/main/scala/org/apache/spark/ml/feature/SQLTransformer.scala#L65.




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