| # 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. | |
| """Testing-only helpers for datafusion-python. | |
| This module contains utilities used by the test-suite that should not be | |
| exposed as part of the public API. Keep the implementation minimal and | |
| documented so reviewers can easily see it's test-only. | |
| """ | |
| from __future__ import annotations | |
| from typing import TYPE_CHECKING | |
| if TYPE_CHECKING: | |
| from datafusion import DataFrame | |
| from datafusion.context import SessionContext | |
| def range_table( | |
| ctx: SessionContext, | |
| start: int, | |
| stop: int | None = None, | |
| step: int = 1, | |
| partitions: int | None = None, | |
| ) -> DataFrame: | |
| """Create a DataFrame containing a sequence of numbers using SQL RANGE. | |
| This mirrors the previous ``SessionContext.range`` convenience method but | |
| lives in a testing-only module so it doesn't expand the public surface. | |
| Args: | |
| ctx: SessionContext instance to run the SQL against. | |
| start: Starting value for the sequence or exclusive stop when ``stop`` | |
| is ``None``. | |
| stop: Exclusive upper bound of the sequence. | |
| step: Increment between successive values. | |
| partitions: Optional number of partitions for the generated data. | |
| Returns: | |
| DataFrame produced by the range table function. | |
| """ | |
| if stop is None: | |
| start, stop = 0, start | |
| parts = f", {int(partitions)}" if partitions is not None else "" | |
| sql = f"SELECT * FROM range({int(start)}, {int(stop)}, {int(step)}{parts})" | |
| return ctx.sql(sql) |