| # 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 pytest |
| from datafusion import ExecutionPlan, LogicalPlan, SessionContext |
| |
| |
| # Note: We must use CSV because memory tables are currently not supported for |
| # conversion to/from protobuf. |
| @pytest.fixture |
| def df(): |
| ctx = SessionContext() |
| return ctx.read_csv(path="testing/data/csv/aggregate_test_100.csv").select("c1") |
| |
| |
| def test_logical_plan_to_proto(ctx, df) -> None: |
| logical_plan_bytes = df.logical_plan().to_proto() |
| logical_plan = LogicalPlan.from_proto(ctx, logical_plan_bytes) |
| |
| df_round_trip = ctx.create_dataframe_from_logical_plan(logical_plan) |
| |
| assert df.collect() == df_round_trip.collect() |
| |
| original_execution_plan = df.execution_plan() |
| execution_plan_bytes = original_execution_plan.to_proto() |
| execution_plan = ExecutionPlan.from_proto(ctx, execution_plan_bytes) |
| |
| assert str(original_execution_plan) == str(execution_plan) |