Xiangrui Meng created SPARK-37004: ------------------------------------- Summary: Job cancellation causes py4j errors on Jupyter due to pinned thread mode Key: SPARK-37004 URL: https://issues.apache.org/jira/browse/SPARK-37004 Project: Spark Issue Type: Improvement Components: PySpark Affects Versions: 3.2.0 Reporter: Xiangrui Meng
3.2.0 turned on py4j pinned thread mode by default. However, in a jupyter notebook, after I cancel (interrupt) a long-running Spark job, the next Spark command will fail with some py4j errors. See attached notebook for repro. Cannot reproduce the issue after I turn off pinned thread mode . -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org