| # 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 __future__ import annotations | |
| import pyarrow as pa | |
| import pytest | |
| from datafusion import SessionContext | |
| from datafusion_ffi_example import MyTableProvider | |
| @pytest.mark.parametrize("inner_capsule", [True, False]) | |
| def test_table_provider_ffi(inner_capsule: bool) -> None: | |
| ctx = SessionContext() | |
| table = MyTableProvider(3, 2, 4) | |
| if inner_capsule: | |
| table = table.__datafusion_table_provider__(ctx) | |
| ctx.register_table("t", table) | |
| result = ctx.table("t").collect() | |
| assert len(result) == 4 | |
| assert result[0].num_columns == 3 | |
| # Multi-partition collect order is non-deterministic; sort by first value | |
| # in column 0, which is unique per partition (0, 2, 4, 6). | |
| result = sorted((r.column(0) for r in result), key=lambda a: a[0].as_py()) | |
| expected = [ | |
| pa.array([0, 1], type=pa.int32()), | |
| pa.array([2, 3, 4], type=pa.int32()), | |
| pa.array([4, 5, 6, 7], type=pa.int32()), | |
| pa.array([6, 7, 8, 9, 10], type=pa.int32()), | |
| ] | |
| assert result == expected | |
| result = ctx.read_table(table).collect() | |
| result = sorted((r.column(0) for r in result), key=lambda a: a[0].as_py()) | |
| assert result == expected |