Details
Major Description
When a system.exit exception occurs during the process, the python worker exits abnormally, and then the executor task is still waiting for the worker for reading from socket, causing it to hang.
The system.exit exception may be caused by the user's error code, but spark should at least throw an error to remind the user, not get stuck
we can run a simple test to reproduce this case:
from pyspark.sql import SparkSession def err(line): raise SystemExit spark = SparkSession.builder.appName("test").getOrCreate() spark.sparkContext.parallelize(range(1,2), 2).map(err).collect() spark.stop()
