dtenedor commented on code in PR #42420:
URL: https://github.com/apache/spark/pull/42420#discussion_r1297784284
##########
python/pyspark/worker.py:
##########
@@ -573,9 +574,73 @@ def read_udtf(pickleSer, infile, eval_type):
f"The return type of a UDTF must be a struct type, but got
{type(return_type)}."
)
+ class UDTFWithPartitions:
+ """
+ This implements the logic of a UDTF that accepts an input TABLE
argument with one or more
+ PARTITION BY expressions.
+
+ Parameters
+ ----------
+ create_udtf: function
+ Function to create a new instance of the UDTF to be invoked.
+ partition_child_indexes: list
+ List of integers identifying zero-based indexes of the columns of
the input table that
+ contain projected partitioning expressions. This class will
inspect these values for
+ each pair of consecutive input rows. When they change, this
indicates the boundary
+ between two partitions, and we will invoke the 'terminate' method
on the UDTF class
+ instance and then destroy it and create a new one to implement the
desired partitioning
+ semantics.
Review Comment:
@ueshin told me to put it under the `class` :) I moved the Parameters part
under `__init__` and left a general description under the `class`.
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