Pallas makes querying AWS Athena easy.
It is especially valuable for analyses in Jupyter Notebook, but it is designed to be generic and usable in any application.
Main features:
- Friendly interface to AWS Athena.
- Caching - local and remote cache for reproducible results.
- Performance – Large results are downloaded from S3.
- Pandas integration - Conversion to DataFrame with appropriate dtypes.
- Optional white space normalization for better caching.
- Kills queries on KeyboardInterrupt.
import pallas
athena = pallas.environ_setup()
df = athena.execute("SELECT 'Hello world!'").to_df()Pallas is hosted at GitHub and it can be installed from PyPI.
Documentation in the docs/ directory can be read online
at Read the Docs.
Changelog is the CHANGELOG.rst file. It is also available
online in docs.
Copyright 2020 Akamai Technologies, Inc
Licensed 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
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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
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