| ################################################################################ |
| # 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 pyflink.table import expressions as expr |
| from pyflink.testing.test_case_utils import PyFlinkStreamTableTestCase |
| |
| |
| class CorrelateTests(PyFlinkStreamTableTestCase): |
| |
| def test_join_lateral(self): |
| t_env = self.t_env |
| t_env.create_java_temporary_system_function("split", |
| "org.apache.flink.table.utils.TableFunc1") |
| source = t_env.from_elements([("1", "1#3#5#7"), ("2", "2#4#6#8")], ["id", "words"]) |
| |
| result = source.join_lateral("split(words) as (word)") |
| |
| query_operation = result._j_table.getQueryOperation() |
| self.assertEqual('INNER', query_operation.getJoinType().toString()) |
| self.assertTrue(query_operation.isCorrelated()) |
| self.assertEqual('true', query_operation.getCondition().toString()) |
| |
| def test_join_lateral_with_join_predicate(self): |
| t_env = self.t_env |
| t_env.create_java_temporary_system_function("split", |
| "org.apache.flink.table.utils.TableFunc1") |
| source = t_env.from_elements([("1", "1#3#5#7"), ("2", "2#4#6#8")], ["id", "words"]) |
| |
| result = source.join_lateral(expr.call('split', source.words).alias('word'), |
| expr.col('id') == expr.col('word')) |
| |
| query_operation = result._j_table.getQueryOperation() |
| self.assertEqual('INNER', query_operation.getJoinType().toString()) |
| self.assertTrue(query_operation.isCorrelated()) |
| self.assertEqual('equals(id, word)', |
| query_operation.getCondition().toString()) |
| |
| def test_left_outer_join_lateral(self): |
| t_env = self.t_env |
| t_env.create_java_temporary_system_function("split", |
| "org.apache.flink.table.utils.TableFunc1") |
| source = t_env.from_elements([("1", "1#3#5#7"), ("2", "2#4#6#8")], ["id", "words"]) |
| |
| result = source.left_outer_join_lateral(expr.call('split', source.words).alias('word')) |
| |
| query_operation = result._j_table.getQueryOperation() |
| self.assertEqual('LEFT_OUTER', query_operation.getJoinType().toString()) |
| self.assertTrue(query_operation.isCorrelated()) |
| self.assertEqual('true', query_operation.getCondition().toString()) |
| |
| def test_left_outer_join_lateral_with_join_predicate(self): |
| t_env = self.t_env |
| t_env.create_java_temporary_system_function("split", |
| "org.apache.flink.table.utils.TableFunc1") |
| source = t_env.from_elements([("1", "1#3#5#7"), ("2", "2#4#6#8")], ["id", "words"]) |
| |
| # only support "true" as the join predicate currently |
| result = source.left_outer_join_lateral(expr.call('split', source.words).alias('word'), |
| expr.lit(True)) |
| |
| query_operation = result._j_table.getQueryOperation() |
| self.assertEqual('LEFT_OUTER', query_operation.getJoinType().toString()) |
| self.assertTrue(query_operation.isCorrelated()) |
| self.assertEqual('true', query_operation.getCondition().toString()) |