| # |
| # 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 |
| import sys |
| |
| from pyspark.sql.tests.test_arrow import ArrowTestsMixin |
| from pyspark.testing.connectutils import ReusedConnectTestCase |
| from pyspark.testing.pandasutils import PandasOnSparkTestUtils |
| |
| |
| class ArrowParityTests(ArrowTestsMixin, ReusedConnectTestCase, PandasOnSparkTestUtils): |
| @unittest.skip("Spark Connect does not support fallback.") |
| def test_createDataFrame_fallback_disabled(self): |
| super().test_createDataFrame_fallback_disabled() |
| |
| @unittest.skip("Spark Connect does not support fallback.") |
| def test_createDataFrame_fallback_enabled(self): |
| super().test_createDataFrame_fallback_enabled() |
| |
| def test_createDataFrame_with_map_type(self): |
| self.check_createDataFrame_with_map_type(True) |
| |
| def test_createDataFrame_with_ndarray(self): |
| self.check_createDataFrame_with_ndarray(True) |
| |
| @unittest.skip("Spark Connect does not support RDD but the tests depend on them.") |
| def test_no_partition_frame(self): |
| super().test_no_partition_frame() |
| |
| @unittest.skip("Spark Connect does not support RDD but the tests depend on them.") |
| def test_no_partition_toPandas(self): |
| super().test_no_partition_toPandas() |
| |
| def test_pandas_self_destruct(self): |
| df = self.spark.range(100).select("id", "id", "id") |
| |
| with self.sql_conf({"spark.sql.execution.arrow.pyspark.selfDestruct.enabled": True}): |
| self_destruct_pdf = df.toPandas() |
| |
| with self.sql_conf({"spark.sql.execution.arrow.pyspark.selfDestruct.enabled": False}): |
| no_self_destruct_pdf = df.toPandas() |
| |
| self.assert_eq(self_destruct_pdf, no_self_destruct_pdf) |
| |
| @unittest.skip("Spark Connect does not support RDD but the tests depend on them.") |
| def test_toPandas_batch_order(self): |
| super().test_toPandas_batch_order() |
| |
| def test_toPandas_empty_df_arrow_enabled(self): |
| self.check_toPandas_empty_df_arrow_enabled(True) |
| |
| def test_create_data_frame_to_pandas_timestamp_ntz(self): |
| self.check_create_data_frame_to_pandas_timestamp_ntz(True) |
| |
| def test_create_data_frame_to_pandas_day_time_internal(self): |
| self.check_create_data_frame_to_pandas_day_time_internal(True) |
| |
| def test_toPandas_respect_session_timezone(self): |
| self.check_toPandas_respect_session_timezone(True) |
| |
| def test_toPandas_with_array_type(self): |
| self.check_toPandas_with_array_type(True) |
| |
| @unittest.skip("Spark Connect does not support fallback.") |
| def test_toPandas_fallback_disabled(self): |
| super().test_toPandas_fallback_disabled() |
| |
| @unittest.skip("Spark Connect does not support fallback.") |
| def test_toPandas_fallback_enabled(self): |
| super().test_toPandas_fallback_enabled() |
| |
| def test_toPandas_with_map_type(self): |
| self.check_toPandas_with_map_type(True) |
| |
| def test_toPandas_with_map_type_nulls(self): |
| self.check_toPandas_with_map_type_nulls(True) |
| |
| def test_createDataFrame_with_array_type(self): |
| self.check_createDataFrame_with_array_type(True) |
| |
| def test_createDataFrame_with_int_col_names(self): |
| self.check_createDataFrame_with_int_col_names(True) |
| |
| def test_timestamp_nat(self): |
| self.check_timestamp_nat(True) |
| |
| def test_toPandas_error(self): |
| self.check_toPandas_error(True) |
| |
| def test_toPandas_duplicate_field_names(self): |
| self.check_toPandas_duplicate_field_names(True) |
| |
| def test_createDataFrame_duplicate_field_names(self): |
| self.check_createDataFrame_duplicate_field_names(True) |
| |
| def test_toPandas_empty_columns(self): |
| self.check_toPandas_empty_columns(True) |
| |
| def test_createDataFrame_nested_timestamp(self): |
| self.check_createDataFrame_nested_timestamp(True) |
| |
| def test_toPandas_nested_timestamp(self): |
| self.check_toPandas_nested_timestamp(True) |
| |
| @unittest.skipIf(sys.version_info < (3, 9), "zoneinfo is available from Python 3.9+") |
| def test_toPandas_timestmap_tzinfo(self): |
| self.check_toPandas_timestmap_tzinfo(True) |
| |
| def test_createDataFrame_udt(self): |
| self.check_createDataFrame_udt(True) |
| |
| def test_toPandas_udt(self): |
| self.check_toPandas_udt(True) |
| |
| def test_create_dataframe_namedtuples(self): |
| self.check_create_dataframe_namedtuples(True) |
| |
| |
| if __name__ == "__main__": |
| from pyspark.sql.tests.connect.test_parity_arrow 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) |