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merged 3 commits into from
Oct 16, 2025
Merged

[FLINK-38508][python] Allow string type specifications in Python UDF … #27106

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[FLINK-38508][python] Allow string type specifications in Python UDF …
fsk119 Oct 13, 2025
a016a16
fix code style
fsk119 Oct 13, 2025
d740a14
address comments and fix codes
fsk119 Oct 15, 2025
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17 changes: 17 additions & 0 deletions flink-python/pyflink/table/tests/test_pandas_udaf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
################################################################################
import uuid

from pyflink.common import Row
from pyflink.table.expressions import col, call, lit, row_interval
from pyflink.table.types import DataTypes
from pyflink.table.udf import udaf, udf, AggregateFunction
Expand All @@ -39,6 +40,17 @@ def setUpClass(cls):
func_type="pandas"))
cls.t_env.create_temporary_system_function("mean_udaf", mean_udaf)

def test_pandas_udaf_in_sql(self):
sql = f"""
CREATE TEMPORARY FUNCTION pymean AS
'{BatchPandasUDAFITTests.__module__}.mean_str_udaf'
LANGUAGE PYTHON
"""
self.t_env.execute_sql(sql)
self.assert_equals(
list(self.t_env.execute_sql("SELECT pymean(1)").collect()),
[Row(1)])

def test_check_result_type(self):
def pandas_udaf():
pass
Expand Down Expand Up @@ -861,6 +873,11 @@ def mean_udaf(v):
return v.mean()


@udaf(input_types=['FLOAT'], result_type='FLOAT', func_type="pandas")
def mean_str_udaf(v):
return v.mean()


class MaxAdd(AggregateFunction):

def __init__(self):
Expand Down
365 changes: 191 additions & 174 deletions flink-python/pyflink/table/tests/test_udf.py
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14 changes: 14 additions & 0 deletions flink-python/pyflink/table/tests/test_udtf.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
################################################################################
import unittest

from pyflink.common import Row
from pyflink.table import DataTypes
from pyflink.table.udf import TableFunction, udtf, ScalarFunction, udf
from pyflink.table.expressions import col
Expand Down Expand Up @@ -71,6 +72,19 @@ def test_table_function_with_sql_query(self):
actual = source_sink_utils.results()
self.assert_equals(actual, ["+I[1, 1, 0]", "+I[2, 2, 0]", "+I[3, 3, 0]", "+I[3, 3, 1]"])

def test_table_function_in_sql(self):
sql = f"""
CREATE TEMPORARY FUNCTION pyfunc AS
'{UserDefinedTableFunctionTests.__module__}.identity'
LANGUAGE PYTHON
"""
self.t_env.execute_sql(sql)
self.assert_equals(
list(self.t_env.execute_sql(
"SELECT v FROM (VALUES (1)) AS T(id), LATERAL TABLE(pyfunc(id)) AS P(v)"
).collect()),
[Row(1)])


class PyFlinkStreamUserDefinedFunctionTests(UserDefinedTableFunctionTests,
PyFlinkStreamTableTestCase):
Expand Down
4 changes: 0 additions & 4 deletions flink-python/pyflink/table/udf.py
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Expand Up @@ -573,10 +573,6 @@ def _create_judf(self, serialized_func, j_input_types, j_function_kind):
else:
self._accumulator_type = 'ARRAY<{0}>'.format(self._result_type)

if j_input_types is not None:
gateway = get_gateway()
j_input_types = java_utils.to_jarray(
gateway.jvm.DataType, [_to_java_data_type(i) for i in self._input_types])
if isinstance(self._result_type, DataType):
j_result_type = _to_java_data_type(self._result_type)
else:
Expand Down
7 changes: 3 additions & 4 deletions ...common/src/main/java/org/apache/flink/table/functions/python/PythonAggregateFunction.java
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Original file line number Diff line number Diff line change
Expand Up @@ -172,10 +172,9 @@ public TypeInference getTypeInference(DataTypeFactory typeFactory) {

if (inputTypesString != null) {
inputTypes =
(DataType[])
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray();
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray(DataType[]::new);
}

if (inputTypes != null) {
Expand Down
7 changes: 3 additions & 4 deletions ...le-common/src/main/java/org/apache/flink/table/functions/python/PythonScalarFunction.java
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Original file line number Diff line number Diff line change
Expand Up @@ -159,10 +159,9 @@ public TypeInference getTypeInference(DataTypeFactory typeFactory) {

if (inputTypesString != null) {
inputTypes =
(DataType[])
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray();
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray(DataType[]::new);
}

if (inputTypes != null) {
Expand Down
7 changes: 3 additions & 4 deletions ...n/src/main/java/org/apache/flink/table/functions/python/PythonTableAggregateFunction.java
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Original file line number Diff line number Diff line change
Expand Up @@ -171,10 +171,9 @@ public TypeInference getTypeInference(DataTypeFactory typeFactory) {
TypeInference.Builder builder = TypeInference.newBuilder();
if (inputTypesString != null) {
inputTypes =
(DataType[])
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray();
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray(DataType[]::new);
}

if (inputTypes != null) {
Expand Down
7 changes: 3 additions & 4 deletions ...ble-common/src/main/java/org/apache/flink/table/functions/python/PythonTableFunction.java
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Expand Up @@ -160,10 +160,9 @@ public TypeInference getTypeInference(DataTypeFactory typeFactory) {

if (inputTypesString != null) {
inputTypes =
(DataType[])
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray();
Arrays.stream(inputTypesString)
.map(typeFactory::createDataType)
.toArray(DataType[]::new);
}

if (inputTypes != null) {
Expand Down