4aee19efb4
### What changes were proposed in this pull request? Now that we merged the Koalas main code into the PySpark code base (#32036), we should port the Koalas Index unit tests to PySpark. ### Why are the changes needed? Currently, the pandas-on-Spark modules are not tested fully. We should enable the Index unit tests. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Enable Index unit tests. Closes #32139 from xinrong-databricks/port.indexes_tests. Authored-by: Xinrong Meng <xinrong.meng@databricks.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
75 lines
2.8 KiB
Python
75 lines
2.8 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 pandas as pd
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from pyspark.sql.utils import AnalysisException
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from pyspark.sql import functions as F
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from pyspark import pandas as ps
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from pyspark.pandas.testing.utils import ReusedSQLTestCase, SQLTestUtils
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class SparkIndexOpsMethodsTest(ReusedSQLTestCase, SQLTestUtils):
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@property
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def pser(self):
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return pd.Series([1, 2, 3, 4, 5, 6, 7], name="x")
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@property
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def kser(self):
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return ps.from_pandas(self.pser)
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def test_series_transform_negative(self):
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with self.assertRaisesRegex(
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ValueError, "The output of the function.* pyspark.sql.Column.*int"
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):
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self.kser.spark.transform(lambda scol: 1)
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with self.assertRaisesRegex(AnalysisException, "cannot resolve.*non-existent.*"):
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self.kser.spark.transform(lambda scol: F.col("non-existent"))
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def test_multiindex_transform_negative(self):
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with self.assertRaisesRegex(
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NotImplementedError, "MultiIndex does not support spark.transform yet"
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):
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midx = pd.MultiIndex(
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[["lama", "cow", "falcon"], ["speed", "weight", "length"]],
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[[0, 0, 0, 1, 1, 1, 2, 2, 2], [1, 1, 1, 1, 1, 2, 1, 2, 2]],
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)
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s = ps.Series([45, 200, 1.2, 30, 250, 1.5, 320, 1, 0.3], index=midx)
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s.index.spark.transform(lambda scol: scol)
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def test_series_apply_negative(self):
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with self.assertRaisesRegex(
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ValueError, "The output of the function.* pyspark.sql.Column.*int"
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):
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self.kser.spark.apply(lambda scol: 1)
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with self.assertRaisesRegex(AnalysisException, "cannot resolve.*non-existent.*"):
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self.kser.spark.transform(lambda scol: F.col("non-existent"))
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if __name__ == "__main__":
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import unittest
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from pyspark.pandas.tests.test_indexops_spark 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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