wbo4958 commented on code in PR #44852:
URL: https://github.com/apache/spark/pull/44852#discussion_r1475544579


##########
python/pyspark/sql/tests/test_resources.py:
##########
@@ -0,0 +1,104 @@
+#
+# 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.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import unittest
+
+from pyspark import SparkContext, TaskContext
+from pyspark.resource import TaskResourceRequests, ResourceProfileBuilder
+from pyspark.sql import SparkSession
+from pyspark.testing.sqlutils import (
+    have_pandas,
+    have_pyarrow,
+    pandas_requirement_message,
+    pyarrow_requirement_message,
+)
+from pyspark.testing.utils import ReusedPySparkTestCase
+
+
+@unittest.skipIf(
+    not have_pandas or not have_pyarrow,
+    pandas_requirement_message or pyarrow_requirement_message,
+)
+class ResourceProfileTestsMixin(object):
+    def test_map_in_arrow_without_profile(self):
+        def func(iterator):
+            tc = TaskContext.get()
+            assert tc.cpus() == 1
+            for batch in iterator:
+                yield batch
+
+        df = self.spark.range(10)
+        df.mapInArrow(func, "id long").collect()
+
+    def test_map_in_arrow_with_profile(self):
+        def func(iterator):
+            tc = TaskContext.get()
+            assert tc.cpus() == 3
+            for batch in iterator:
+                yield batch
+
+        df = self.spark.range(10)
+
+        treqs = TaskResourceRequests().cpus(3)
+        rp = ResourceProfileBuilder().require(treqs).build
+        df.mapInArrow(func, "id long", False, rp).collect()
+
+    def test_map_in_pandas_without_profile(self):
+        def func(iterator):
+            tc = TaskContext.get()
+            assert tc.cpus() == 1
+            for batch in iterator:
+                yield batch
+
+        df = self.spark.range(10)
+        df.mapInPandas(func, "id long").collect()
+
+    def test_map_in_pandas_with_profile(self):
+        def func(iterator):
+            tc = TaskContext.get()
+            assert tc.cpus() == 3
+            for batch in iterator:
+                yield batch
+
+        df = self.spark.range(10)
+
+        treqs = TaskResourceRequests().cpus(3)
+        rp = ResourceProfileBuilder().require(treqs).build
+        df.mapInPandas(func, "id long", False, rp).collect()
+
+
+class ResourceProfileTests(ResourceProfileTestsMixin, ReusedPySparkTestCase):
+    @classmethod
+    def setUpClass(cls):
+        cls.sc = SparkContext("local-cluster[1, 4, 1024]", cls.__name__, 
conf=cls.conf())
+        cls.spark = SparkSession(cls.sc)
+
+    @classmethod
+    def tearDownClass(cls):
+        super(ResourceProfileTests, cls).tearDownClass()
+        cls.spark.stop()
+
+
+if __name__ == "__main__":
+    from pyspark.sql.tests.test_resources import *  # noqa: F401

Review Comment:
   Thx for the review. Done



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