# 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