Coverage for pyspark/sql/tests/test_group.py : 100%

# 

# 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. 

# 

from pyspark.sql import Row 

from pyspark.testing.sqlutils import ReusedSQLTestCase 

class GroupTests(ReusedSQLTestCase): 

def test_aggregator(self): 

df = self.df 

g = df.groupBy() 

self.assertEqual([99, 100], sorted(g.agg({'key': 'max', 'value': 'count'}).collect()[0])) 

self.assertEqual([Row(**{"AVG(key#0)": 49.5})], g.mean().collect()) 

from pyspark.sql import functions 

self.assertEqual((0, u'99'), 

tuple(g.agg(functions.first(df.key), functions.last(df.value)).first())) 

self.assertTrue(95 < g.agg(functions.approx_count_distinct(df.key)).first()[0]) 

# test deprecated countDistinct 

self.assertEqual(100, g.agg(functions.countDistinct(df.value)).first()[0]) 

if __name__ == "__main__": 

import unittest 

from pyspark.sql.tests.test_group 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)