spark-instrumented-optimizer/python/pyspark/pandas/tests/test_default_index.py

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#
# 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 pandas as pd
from pyspark import pandas as ps
from pyspark.pandas.testing.utils import ReusedSQLTestCase
class DefaultIndexTest(ReusedSQLTestCase):
def test_default_index_sequence(self):
with ps.option_context("compute.default_index_type", "sequence"):
sdf = self.spark.range(1000)
self.assert_eq(ps.DataFrame(sdf), pd.DataFrame({"id": list(range(1000))}))
def test_default_index_distributed_sequence(self):
with ps.option_context("compute.default_index_type", "distributed-sequence"):
sdf = self.spark.range(1000)
self.assert_eq(ps.DataFrame(sdf), pd.DataFrame({"id": list(range(1000))}))
def test_default_index_distributed(self):
with ps.option_context("compute.default_index_type", "distributed"):
sdf = self.spark.range(1000)
pdf = ps.DataFrame(sdf).to_pandas()
self.assertEqual(len(set(pdf.index)), len(pdf))
if __name__ == "__main__":
import unittest
from pyspark.pandas.tests.test_default_index 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)