cloud-fan commented on code in PR #41316:
URL: https://github.com/apache/spark/pull/41316#discussion_r1233992483
##########
python/pyspark/worker.py:
##########
@@ -456,6 +456,86 @@ def assign_cols_by_name(runner_conf):
)
+# Read and process a serialized user-defined table function (UDTF) from a
socket.
+# It expects the UDTF to be in a specific format and performs various checks to
+# ensure the UDTF is valid. This function also prepares a mapper function for
applying
+# the UDTF logic to input rows.
+def read_udtf(pickleSer, infile, eval_type):
+ num_udtfs = read_int(infile)
+ if num_udtfs != 1:
+ raise PySparkValueError(f"Unexpected number of UDTFs. Expected 1 but
got {num_udtfs}.")
+
+ # See `PythonUDFRunner.writeUDFs`.
+ num_arg = read_int(infile)
+ arg_offsets = [read_int(infile) for _ in range(num_arg)]
+ num_chained_funcs = read_int(infile)
+ if num_chained_funcs != 1:
+ raise PySparkValueError(
+ f"Unexpected number of chained UDTFs. Expected 1 but got
{num_chained_funcs}."
+ )
+
+ handler, return_type = read_command(pickleSer, infile)
+ if not isinstance(handler, type):
+ raise PySparkRuntimeError(
+ f"Invalid UDTF handler type. Expected a class (type 'type'), but "
Review Comment:
I think we want to print the value of `type`, instead of a literal `'type'`?
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