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python/pyspark/sql/tests/connect/test_parity_dataframe.py
45 строк
2 KB
Ruifeng Zheng
[SPARK-55249][PYTHON] Make DataFrame.toJSON able to return dataframe
29 янв 2026, 01:17
29 янв 2026, 01:17
9931781
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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 unittest from pyspark.sql.tests.test_dataframe import DataFrameTestsMixin from pyspark.testing.connectutils import ReusedConnectTestCase class DataFrameParityTests(DataFrameTestsMixin, ReusedConnectTestCase): def test_help_command(self): df = self.spark.createDataFrame(data=[{"foo": "bar"}, {"foo": "baz"}]) super().check_help_command(df) @unittest.skip("Spark Connect does not support RDD but the tests depend on them.") def test_toDF_with_schema_string(self): super().test_toDF_with_schema_string() @unittest.skip("This test is dedicated for classic mode.") def test_query_execution_unsupported_in_classic(self): pass @unittest.skip("This test is dedicated for classic mode.") def test_to_json(self): pass if __name__ == "__main__": from pyspark.testing import main main()