# 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. from __future__ import absolute_import, division, print_function from tests.common.impala_test_suite import ImpalaTestSuite from tests.common.skip import SkipIf @SkipIf.not_hdfs class TestCreatingPaimonTable(ImpalaTestSuite): @classmethod def get_workload(cls): return 'functional-query' @classmethod def add_test_dimensions(cls): super(TestCreatingPaimonTable, cls).add_test_dimensions() cls.ImpalaTestMatrix.add_constraint( lambda v: v.get_value('table_format').file_format == 'parquet') def test_paimon_ddl(self, vector, unique_database): self.run_test_case('QueryTest/paimon-ddl', vector, unique_database) def test_paimon_show_stats(self, vector, unique_database): self.run_test_case('QueryTest/paimon-show-stats', vector, unique_database) def test_paimon_show_file_stats(self): tables = ["paimon_non_partitioned", "paimon_partitioned"] for table in tables: result = self.client.execute("show files in functional_parquet." + table) assert len(result.data) == 5, "Expected 5 files" def test_create_paimon_ddl_negative(self, vector, unique_database): self.run_test_case('QueryTest/paimon-ddl-negative', vector, unique_database) def test_paimon_negative(self, vector, unique_database): self.run_test_case('QueryTest/paimon-negative', vector, unique_database) def test_paimon_query(self, vector, unique_database): self.run_test_case('QueryTest/paimon-query', vector, unique_database)