| # 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. |
| |
| # RECIPE STARTS HERE |
| |
| #: ADBC lets you get the schema of a result set, without executing the query. |
| |
| import os |
| |
| import pyarrow |
| |
| import adbc_driver_postgresql.dbapi |
| |
| uri = os.environ["ADBC_POSTGRESQL_TEST_URI"] |
| conn = adbc_driver_postgresql.dbapi.connect(uri) |
| |
| #: We'll create an example table to test. |
| with conn.cursor() as cur: |
| cur.execute("DROP TABLE IF EXISTS example") |
| cur.execute("CREATE TABLE example (ints INT, bigints BIGINT)") |
| |
| conn.commit() |
| |
| expected = pyarrow.schema( |
| [ |
| ("ints", "int32"), |
| ("bigints", "int64"), |
| ] |
| ) |
| |
| with conn.cursor() as cur: |
| assert cur.adbc_execute_schema("SELECT * FROM example") == expected |
| |
| #: PostgreSQL doesn't know the type here, so it just returns a guess. |
| assert cur.adbc_execute_schema("SELECT $1 AS res") == pyarrow.schema( |
| [ |
| ("res", "string"), |
| ] |
| ) |
| |
| conn.close() |