[ https://issues.apache.org/jira/browse/SPARK-20848?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-20848: ------------------------------------ Assignee: Apache Spark > 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: Apache Spark > 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} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org