aeb3649fb9
### What changes were proposed in this pull request? This replaces deprecated API usage in PySpark tests with the preferred APIs. These have been deprecated for some time and usage is not consistent within tests. - https://docs.python.org/3/library/unittest.html#deprecated-aliases ### Why are the changes needed? For consistency and eventual removal of deprecated APIs. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Existing tests Closes #30557 from BryanCutler/replace-deprecated-apis-in-tests. Authored-by: Bryan Cutler <cutlerb@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
125 lines
4.2 KiB
Python
125 lines
4.2 KiB
Python
#
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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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import os
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import time
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import unittest
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from pyspark.testing.sqlutils import ReusedSQLTestCase, have_pandas, have_pyarrow, \
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pandas_requirement_message, pyarrow_requirement_message
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if have_pandas:
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import pandas as pd
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@unittest.skipIf(
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not have_pandas or not have_pyarrow,
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pandas_requirement_message or pyarrow_requirement_message) # type: ignore[arg-type]
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class MapInPandasTests(ReusedSQLTestCase):
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@classmethod
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def setUpClass(cls):
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ReusedSQLTestCase.setUpClass()
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# Synchronize default timezone between Python and Java
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cls.tz_prev = os.environ.get("TZ", None) # save current tz if set
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tz = "America/Los_Angeles"
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os.environ["TZ"] = tz
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time.tzset()
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cls.sc.environment["TZ"] = tz
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cls.spark.conf.set("spark.sql.session.timeZone", tz)
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@classmethod
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def tearDownClass(cls):
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del os.environ["TZ"]
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if cls.tz_prev is not None:
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os.environ["TZ"] = cls.tz_prev
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time.tzset()
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ReusedSQLTestCase.tearDownClass()
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def test_map_partitions_in_pandas(self):
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def func(iterator):
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for pdf in iterator:
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assert isinstance(pdf, pd.DataFrame)
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assert pdf.columns == ['id']
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yield pdf
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df = self.spark.range(10)
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actual = df.mapInPandas(func, 'id long').collect()
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expected = df.collect()
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self.assertEqual(actual, expected)
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def test_multiple_columns(self):
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data = [(1, "foo"), (2, None), (3, "bar"), (4, "bar")]
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df = self.spark.createDataFrame(data, "a int, b string")
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def func(iterator):
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for pdf in iterator:
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assert isinstance(pdf, pd.DataFrame)
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assert [d.name for d in list(pdf.dtypes)] == ['int32', 'object']
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yield pdf
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actual = df.mapInPandas(func, df.schema).collect()
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expected = df.collect()
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self.assertEqual(actual, expected)
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def test_different_output_length(self):
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def func(iterator):
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for _ in iterator:
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yield pd.DataFrame({'a': list(range(100))})
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df = self.spark.range(10)
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actual = df.repartition(1).mapInPandas(func, 'a long').collect()
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self.assertEqual(set((r.a for r in actual)), set(range(100)))
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def test_empty_iterator(self):
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def empty_iter(_):
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return iter([])
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self.assertEqual(
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self.spark.range(10).mapInPandas(empty_iter, 'a int, b string').count(), 0)
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def test_empty_rows(self):
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def empty_rows(_):
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return iter([pd.DataFrame({'a': []})])
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self.assertEqual(
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self.spark.range(10).mapInPandas(empty_rows, 'a int').count(), 0)
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def test_chain_map_partitions_in_pandas(self):
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def func(iterator):
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for pdf in iterator:
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assert isinstance(pdf, pd.DataFrame)
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assert pdf.columns == ['id']
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yield pdf
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df = self.spark.range(10)
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actual = df.mapInPandas(func, 'id long').mapInPandas(func, 'id long').collect()
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expected = df.collect()
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self.assertEqual(actual, expected)
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if __name__ == "__main__":
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from pyspark.sql.tests.test_pandas_map import * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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