| #!/usr/bin/env python3 |
| # |
| # 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. |
| |
| import time |
| |
| import pandas |
| import sqlalchemy |
| |
| database = os.environ.get("PGDATABASE", "afs_benchmark") |
| engine = sqlalchemy.create_engine("postgresql:///{database}") |
| with engine.connect() as connection, connection.begin(): |
| start = time.perf_counter() |
| pandas.read_sql_table("data", connection) |
| print(time.perf_counter() - start) |