PyAthena 3.9.0
0
Python DB API 2.0 (PEP 249) client for Amazon Athena
Contents
Python DB API 2.0 (PEP 249) client for Amazon Athena
Stars: 461, Watchers: 461, Forks: 105, Open Issues: 21The laughingman7743/PyAthena
repo was created 7 years ago and the last code push was 1 months ago.
The project is popular with 461 github stars!
How to Install pyathena
You can install pyathena using pip
pip install pyathena
or add it to a project with poetry
poetry add pyathena
Package Details
- Author
- None
- License
- Copyright 2017 laughingman7743 Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
- Homepage
- None
- PyPi:
- https://pypi.org/project/PyAthena/
- GitHub Repo:
- https://github.com/laughingman7743/PyAthena
Classifiers
- Database/Front-Ends
Related Packages
Errors
A list of common pyathena errors.
Code Examples
Here are some pyathena
code examples and snippets.
GitHub Issues
The pyathena package has 21 open issues on GitHub
- Impl s3fs cursor
- Add partitions support
- Add support for partition columns
- Documenting/improving memory behavior
- SQLAlchemy + Pandas very slow when compared to AWS Wrangler
- Query is generating a lot of nulls
- init cursor from previously run query_id