bogao007 commented on code in PR #42986:
URL: https://github.com/apache/spark/pull/42986#discussion_r1329356792
##########
python/pyspark/sql/connect/streaming/worker/listener_worker.py:
##########
@@ -83,7 +86,14 @@ def process(listener_event_str, listener_event_type): #
type: ignore[no-untyped
while True:
event = utf8_deserializer.loads(infile)
event_type = read_int(infile)
- process(event, int(event_type)) # TODO(SPARK-44463): Propagate error
to the user.
+ # Handle errors inside Python worker. Write 0 to outfile if no errors
and write -2 with
+ # traceback string if error occurs.
+ try:
+ process(event, int(event_type))
+ write_int(0, outfile)
Review Comment:
I think that's the only way to propagate something out of the Python worker,
if it fails, then I'm not sure if there's anything else that could propagate
that error out.
From the [existing
worker](https://github.com/apache/spark/blob/981312284f0776ca847c8d21411f74a72c639b22/python/pyspark/sql/worker/analyze_udtf.py#L161-L163),
it does not do anything if there's an IOException but close the python
process. But let me update the code to use the same way they did, which should
be slightly better.
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