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
