2018-11-14 01:51:11 -05:00
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#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from pyspark.sql import Row
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from pyspark.testing.sqlutils import ReusedSQLTestCase
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class GroupTests(ReusedSQLTestCase):
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def test_aggregator(self):
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df = self.df
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g = df.groupBy()
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self.assertEqual([99, 100], sorted(g.agg({'key': 'max', 'value': 'count'}).collect()[0]))
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self.assertEqual([Row(**{"AVG(key#0)": 49.5})], g.mean().collect())
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from pyspark.sql import functions
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self.assertEqual((0, u'99'),
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tuple(g.agg(functions.first(df.key), functions.last(df.value)).first()))
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self.assertTrue(95 < g.agg(functions.approx_count_distinct(df.key)).first()[0])
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self.assertEqual(100, g.agg(functions.countDistinct(df.value)).first()[0])
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if __name__ == "__main__":
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import unittest
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from pyspark.sql.tests.test_group import *
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try:
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import xmlrunner
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2019-06-23 20:58:17 -04:00
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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2018-11-14 01:51:11 -05:00
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except ImportError:
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2018-11-14 23:30:52 -05:00
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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