Drew Robb created SPARK-17986:
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             Summary: SQLTransformer leaks temporary tables
                 Key: SPARK-17986
                 URL: https://issues.apache.org/jira/browse/SPARK-17986
             Project: Spark
          Issue Type: Bug
          Components: ML
    Affects Versions: 2.0.1
            Reporter: Drew Robb
            Priority: Minor


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.
 I would be happy to attempt this fix myself if someone could validate this 
issue.



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