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https://issues.apache.org/jira/browse/SPARK-11192?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-11192:
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Target Version/s: (was: 1.5.1)
[~blivingston] don't set Target; it can't target a released version anyway.
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark
> Spark sql seems to leak org.apache.spark.sql.execution.ui.SQLTaskMetrics
> objects over time
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-11192
> URL: https://issues.apache.org/jira/browse/SPARK-11192
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.1
> Environment: java version "1.8.0_60"
> Java(TM) SE Runtime Environment (build 1.8.0_60-b27)
> Java HotSpot(TM) 64-Bit Server VM (build 25.60-b23, mixed mode)
> org.apache.spark/spark-sql_2.10 "1.5.1"
> Embedded, in-process spark. Have not tested on standalone or yarn clusters.
> Reporter: Blake Livingston
> Priority: Minor
>
> Noticed that slowly, over the course of a day or two, heap memory usage on a
> long running spark process increased monotonically.
> After doing a heap dump and examining in jvisualvm, saw there were over 15M
> org.apache.spark.sql.execution.ui.SQLTaskMetrics objects allocated, taking
> over 500MB.
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