blob: a1789a50896dbfd9efecf7a067869fbf0dd06a74 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# limitations under the License.
#
import inspect
import os
import unittest
from pyspark.sql.tests.test_udf_profiler import UDFProfiler2TestsMixin, _do_computation
from pyspark.testing.connectutils import ReusedConnectTestCase
class UDFProfilerParityTests(UDFProfiler2TestsMixin, ReusedConnectTestCase):
def setUp(self) -> None:
super().setUp()
self.spark._profiler_collector._value = None
class UDFProfilerWithoutPlanCacheParityTests(UDFProfilerParityTests):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.spark.conf.set("spark.connect.session.planCache.enabled", False)
@classmethod
def tearDownClass(cls):
try:
cls.spark.conf.unset("spark.connect.session.planCache.enabled")
finally:
super().tearDownClass()
def test_perf_profiler_udf_multiple_actions(self):
def action(df):
df.collect()
df.show()
with self.sql_conf({"spark.sql.pyspark.udf.profiler": "perf"}):
_do_computation(self.spark, action=action)
# Without the plan cache, UDF ID will be different for each action
self.assertEqual(6, len(self.profile_results), str(list(self.profile_results)))
for id in self.profile_results:
with self.trap_stdout() as io:
self.spark.profile.show(id, type="perf")
self.assertIn(f"Profile of UDF<id={id}>", io.getvalue())
self.assertRegex(
io.getvalue(), f"10.*{os.path.basename(inspect.getfile(_do_computation))}"
)
if __name__ == "__main__":
from pyspark.sql.tests.connect.test_parity_udf_profiler import * # noqa: F401
try:
import xmlrunner # type: ignore[import]
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)