Installation

The package is available on PyPI:

pip install sqlalchemy-redshift

Usage

The DSN format is similar to that of regular Postgres:

>>> import sqlalchemy as sa
>>> sa.create_engine('redshift+psycopg2://username@host.amazonaws.com:5439/database')
Engine(redshift+psycopg2://username@host.amazonaws.com:5439/database)

See the RedshiftDDLCompiler documentation for details on Redshift-specific features the dialect supports.

Running Tests

Tests are ran via tox and can be run with the following command:

$ tox

However, this will not run integration tests unless the following environment variables are set:

• REDSHIFT_HOST

• REDSHIFT_PORT

• REDSHIFT_USERNAME

• PGPASSWORD (this is the redshift instance password)

• REDSHIFT_DATABASE

• REDSHIFT_IAM_ROLE_ARN

Note that the IAM role specified will need to be associated with redshift cluster and have the correct permissions to create databases and tables as well drop them. Exporting these environment variables in your shell and running tox will run the integration tests against a real redshift instance. Practice caution when running these tests against a production instance.

Continuous Integration (CI)

Project CI is built using AWS CodePipeline and CloudFormation. Please see the ci/ folder and included README.txt for details on how to spin up the project’s CI.

Releasing

To perform a release, you will need to be an admin for the project on GitHub and on PyPI. Contact the maintainers if you need that access.

You will need to have a ~/.pypirc with your PyPI credentials and also the following settings:

[zest.releaser]
create-wheels = yes

To perform a release, run the following:

python -m venv ~/.virtualenvs/dist
workon dist
pip install -U pip setuptools wheel
pip install -U tox zest.releaser
fullrelease  # follow prompts, use semver ish with versions.

The releaser will handle updating version data on the package and in CHANGES.rst along with tagging the repo and uploading to PyPI.