Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/12057#discussion_r57977976
--- Diff: python/pyspark/worker.py ---
@@ -107,21 +149,10 @@ def main(infile, outfile):
_broadcastRegistry.pop(bid)
_accumulatorRegistry.clear()
- row_based = read_int(infile)
- num_commands = read_int(infile)
- if row_based:
- profiler = None # profiling is not supported for UDF
- row_func = None
- for i in range(num_commands):
- f, returnType, deserializer = read_command(pickleSer,
infile)
- if row_func is None:
- row_func = f
- else:
- row_func = chain(row_func, f)
- serializer = deserializer
- func = lambda _, it: map(lambda x:
returnType.toInternal(row_func(*x)), it)
+ is_udf = read_int(infile)
+ if is_udf:
--- End diff --
I'd _maybe_ call this `is_sql_udf` just to make it clearer that this is
part of PySpark SQL support, but I don't feel strongly about this.
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