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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