QuerySource is a powerful Python library designed to streamline access to multiple databases and external APIs through a single, unified interface. Utilizing the proxy design pattern, QuerySource allows developers to seamlessly integrate various data sources into their projects without worrying about the complexities of managing multiple connections.
- Unified interface for querying multiple databases (Redis, PostgreSQL, MySQL, Oracle, SQL Server, InfluxDB, CouchDB, Druid)
- Support for external APIs (Salesforce, ShopperTrack, ZipCodeAPI, etc.)
- Easy-to-use API for executing queries
- Extensible design, allowing for easy addition of new data sources
$ pip install querysource
---> 100%
Successfully installed querysource- Python >= 3.9
- asyncio (https://pypi.python.org/pypi/asyncio/)
QuerySource can be used in several ways, one is using QS object itself:
from querysource.queries.qs import QS
query = QS(
query='SELECT * FROM tests',
output_format='pandas'
)
result, error = await query.query()To add support for a new data source, create a new class inheriting from the BaseProvider or BaseAPI class and implement the required methods (prepare_connection, query, close). Then, register the new data source in the QuerySource class by adding it to the appropriate dictionary (_supported_databases or _supported_apis).
We welcome contributions to QuerySource! If you'd like to contribute, please follow these steps:
- Fork the repository
- Create a new branch for your feature or bugfix
- Implement your changes
- Add tests covering your changes
- Create a pull request against the original repository
- Writing tests
- Code review
- Other guidelines
QuerySource is released under the BSD License. See the LICENSE file for more details.