RELEASE.md

Release Procedure

1. Update changelog
2. Bumpversion
3. Merge to master

• (on master) git pull origin development

1. Deploy to pypi

• python setup.py sdist upload -r pypi

1. Deploy to homebrew

• Make a pull request against homebrew-core

1. Deploy to conda-forge

• Make a pull request against dbt-feedstock

1. Git release notes (points to changelog)
2. Post to slack (point to changelog)

Homebrew Release Process

1. fork homebrew and add a remote:

cd $(brew --repo homebrew/core)
git remote add origin <your-github-username> <your-fork-url>

2. edit the formula.

brew update
mkvirtualenv --python="$(which python3)" brew
pip install homebrew-pypi-poet dbt
diff "$(brew --repo homebrew/core)"/Formula/dbt.rb <(poet -f dbt)

find any differences in resource stanzas, and incorporate them into the formula

brew edit dbt
...
diff "$(brew --repo homebrew/core)"/Formula/dbt.rb <(poet -f dbt)

3. reinstall, test, and audit dbt. if the test or audit fails, fix the formula with step 1.

brew uninstall --force dbt
brew install --build-from-source dbt
brew test dbt
brew audit --strict dbt

4. make a pull request for the change.

cd $(brew --repo homebrew/core)
git pull origin master
git checkout -b dbt-<version> origin/master
git add . -p
git commit -m 'dbt <version>'
git push -u <your-github-username> dbt-<version>

Conda Forge Release Process

1. Clone the fork of conda-forge/dbt-feedstock here

git clone [email protected]:fishtown-analytics/dbt-feedstock.git

2. Update the version and sha256 in recipe/meta.yml. To calculate the sha256, run:

wget https://github.com/fishtown-analytics/dbt/archive/v{version}.tar.gz
openssl sha256 v{version}.tar.gz

3. Push the changes and create a PR against conda-forge/dbt-feedstock

4. Confirm that all automated conda-forge tests are passing