You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/10/22 09:05:58 UTC
[jira] [Resolved] (SPARK-17986) SQLTransformer leaks temporary
tables
[ https://issues.apache.org/jira/browse/SPARK-17986?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yanbo Liang resolved SPARK-17986.
---------------------------------
Resolution: Fixed
Assignee: Drew Robb
Fix Version/s: 2.1.0
2.0.2
> 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
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org