allisonwang-db commented on code in PR #52317:
URL: https://github.com/apache/spark/pull/52317#discussion_r2353560389
##########
python/pyspark/sql/tests/arrow/test_arrow_udtf.py:
##########
@@ -730,6 +730,496 @@ def eval(self, x: "pa.Array", y: "pa.Array") ->
Iterator["pa.Table"]:
expected_df2 = self.spark.createDataFrame([(7, 3, 10)], "x int, y int,
sum int")
assertDataFrameEqual(sql_result_df2, expected_df2)
+ def test_arrow_udtf_with_partition_by(self):
+ @arrow_udtf(returnType="partition_key int, sum_value int")
+ class SumUDTF:
+ def eval(self, table_data: "pa.RecordBatch") ->
Iterator["pa.Table"]:
+ table = pa.table(table_data)
+ partition_key = pc.unique(table["partition_key"]).to_pylist()
+ assert (
+ len(partition_key) == 1
+ ), f"Expected exactly one partition key, got {partition_key}"
+ sum_value = pc.sum(table["value"]).as_py()
+ result_table = pa.table(
+ {
+ "partition_key": pa.array([partition_key[0]],
type=pa.int32()),
+ "sum_value": pa.array([sum_value], type=pa.int32()),
+ }
+ )
+ yield result_table
+
+ test_data = [
+ (1, 10),
+ (2, 5),
+ (1, 20),
+ (2, 15),
+ (1, 30),
+ (3, 100),
+ ]
+ input_df = self.spark.createDataFrame(test_data, "partition_key int,
value int")
+
+ self.spark.udtf.register("sum_udtf", SumUDTF)
+ input_df.createOrReplaceTempView("test_data")
+
+ result_df = self.spark.sql(
+ """
+ SELECT * FROM sum_udtf(TABLE(test_data) PARTITION BY partition_key)
+ """
+ )
+
+ expected_data = [
+ (1, 60),
+ (2, 20),
+ (3, 100),
+ ]
Review Comment:
thanks for catching this!
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