| # 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 pathlib import Path | |
| import pytest | |
| from datafusion import SessionContext | |
| @pytest.fixture | |
| def ctx(): | |
| return SessionContext() | |
| def test_read_parquet(ctx): | |
| ctx.register_parquet( | |
| "test", | |
| f"file://{Path.cwd()}/parquet/data/alltypes_plain.parquet", | |
| table_partition_cols=[], | |
| parquet_pruning=True, | |
| file_extension=".parquet", | |
| ) | |
| df = ctx.sql("SELECT * FROM test") | |
| assert isinstance(df.collect(), list) |