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https://issues.apache.org/jira/browse/SPARK-20848?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16023863#comment-16023863
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Apache Spark commented on SPARK-20848:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/18100
> Dangling threads when reading parquet files in local mode
> ---------------------------------------------------------
>
> Key: SPARK-20848
> URL: https://issues.apache.org/jira/browse/SPARK-20848
> Project: Spark
> Issue Type: Bug
> Components: Input/Output, SQL
> Affects Versions: 2.1.1, 2.2.0
> Reporter: Nick Pritchard
> Assignee: Liang-Chi Hsieh
> Fix For: 2.1.2, 2.2.0
>
> Attachments: Screen Shot 2017-05-22 at 4.13.52 PM.png
>
>
> On each call to {{spark.read.parquet}}, a new ForkJoinPool is created. One of
> the threads in the pool is kept in the {{WAITING}} state, and never stopped,
> which leads to unbounded growth in number of threads.
> This behavior is a regression from v2.1.0.
> Reproducible example:
> {code}
> val spark = SparkSession
> .builder()
> .appName("test")
> .master("local")
> .getOrCreate()
> while(true) {
> spark.read.parquet("/path/to/file")
> Thread.sleep(5000)
> }
> {code}
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