Skip to content

Latest commit

 

History

History
54 lines (39 loc) · 2.97 KB

README.md

File metadata and controls

54 lines (39 loc) · 2.97 KB
Raw

Snowflake Connector for Python

Build and Test codecov PyPi License Apache-2.0 Codestyle Black

This package includes the Snowflake Connector for Python, which conforms to the Python DB API 2.0 specification.

The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. It provides a programming alternative to developing applications in Java or C/C++ using the Snowflake JDBC or ODBC drivers.

The connector has no dependencies on JDBC or ODBC. It can be installed using pip on Linux, Mac OSX, and Windows platforms where Python 3.7.0 (or higher) is installed.

Snowflake Documentation is available at: https://docs.snowflake.com/

Feel free to file an issue or submit a PR here for general cases. For official support, contact Snowflake support at: https://community.snowflake.com/s/article/How-To-Submit-a-Support-Case-in-Snowflake-Lodge

How to build

Locally

Install Python 3.7.0 or higher. Clone the Snowflake Connector for Python repository, then run the following commands to create a wheel package using PEP-517 build:

git clone git@github.com:snowflakedb/snowflake-connector-python.git
cd snowflake-connector-python
python -m pip install -U pip setuptools wheel build
python -m build --wheel .

Find the snowflake_connector_python*.whl package in the ./dist directory.

In Docker

Or use our Dockerized build script ci/build_docker.sh and find the built wheel files in dist/repaired_wheels.

Note: ci/build_docker.sh can be used to compile only certain versions, like this: ci/build_docker.sh "3.7 3.8"

Code hygiene and other utilities

These tools are integrated into tox to allow us to easily set them up universally on any computer.

  • fix_lint: Runs pre-commit to check for a bunch of lint issues. This can be installed to run upon each time a commit is created locally, keep an eye out for the hint that this environment prints upon succeeding.
  • coverage: Runs coverage.py to combine generated coverage data files. Useful when multiple categories were run and we would like to have an overall coverage data file created for them.
  • flake8: (Deprecated) Similar to fix_lint, but only runs flake8 checks.