| # 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 datafusion import SessionContext, col, literal |
| |
| |
| def test_register_filtered_dataframe(): |
| ctx = SessionContext() |
| |
| data = {"a": [1, 2, 3, 4, 5], "b": [10, 20, 30, 40, 50]} |
| |
| df = ctx.from_pydict(data, "my_table") |
| |
| df_filtered = df.filter(col("a") > literal(2)) |
| |
| ctx.register_view("view1", df_filtered) |
| |
| df_view = ctx.sql("SELECT * FROM view1") |
| |
| filtered_results = df_view.collect() |
| |
| result_dicts = [batch.to_pydict() for batch in filtered_results] |
| |
| expected_results = [{"a": [3, 4, 5], "b": [30, 40, 50]}] |
| |
| assert result_dicts == expected_results |
| |
| df_results = df.collect() |
| |
| df_result_dicts = [batch.to_pydict() for batch in df_results] |
| |
| expected_df_results = [{"a": [1, 2, 3, 4, 5], "b": [10, 20, 30, 40, 50]}] |
| |
| assert df_result_dicts == expected_df_results |