WweiL commented on code in PR #46125:
URL: https://github.com/apache/spark/pull/46125#discussion_r1571450947
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python/pyspark/sql/connect/streaming/worker/foreach_batch_worker.py:
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@@ -63,8 +63,11 @@ def main(infile: IO, outfile: IO) -> None:
spark = spark_connect_session
# TODO(SPARK-44461): Enable Process Isolation
-
- func = worker.read_command(pickle_ser, infile)
+ read_command_exception = None
+ try:
+ func = worker.read_command(pickle_ser, infile)
+ except Exception as e:
+ read_command_exception = e
write_int(0, outfile) # Indicate successful initialization
Review Comment:
I would actually do a `write_int(1, outfile)`, then directly write out the
error with `handle_worker_exception`, to indicate an unsuccessful
initialization. And in `StreamingForeachBatchHelper`, on where we receive this
"0", we check if that's 1, if so, then read error and throw
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