HyukjinKwon commented on code in PR #42986:
URL: https://github.com/apache/spark/pull/42986#discussion_r1329392786
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python/pyspark/sql/connect/streaming/worker/foreach_batch_worker.py:
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@@ -69,8 +73,32 @@ def process(df_id, batch_id): # type: ignore[no-untyped-def]
while True:
df_ref_id = utf8_deserializer.loads(infile)
batch_id = read_long(infile)
- process(df_ref_id, int(batch_id)) # TODO(SPARK-44463): Propagate
error to the user.
- write_int(0, outfile)
+ # Handle errors inside Python worker. Write 0 to outfile if no errors
and write -2 with
+ # traceback string if error occurs.
+ try:
+ process(df_ref_id, int(batch_id))
+ write_int(0, outfile)
+ except BaseException as e:
Review Comment:
I think we should probably put this handling into a util and reuse it in the
regular `worker.py` too.
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