Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

generic migration provider

Project description

Trek is a simple tool to do migrations of whatever you’d like. It has terrible documentation because it’s pre-1.0.


Install! pip install trek

Now say you have a directory of migrations:

├── 1.sql
├── 2.sql
└── 3.sql

Where each of these looks a bit like this:



(using any comment character, but lines with MIGRATE UP and MIGRATE DOWN will be excluded and only one of each line is expected. Also note that to simplify this example the numbers have been used, but you should probably use timestamps like 2014-01-01T00-00-00_human_name.sql)

You can then run:

trek --runner=postgres up postgres://trek_test@localhost/trek_test

And the migrations will be run for you. Magic!

Writing your own runner

A runner is just a Python object with version, up, and down methods. version will be called with no arguments to determine the current version, while up and down will be called with a name (string) and Migration object (which has string up and down members). up and down should be generators, and you can yield as many messages as you need to so that the user knows what’s going on.

After you put your migrator in a file, specify it with For example, the postgres migrator is expanded by the CLI interface but it’s full path is trek.runners.postgres:PostgresRunner


  • ✓ release on PyPI
  • ✓ add Postgres migrator
  • add other migrators as needed (open an issue on Github, for what you want, please!)
  • add flask-script manager interface

Project details

Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for trek, version 0.0.1-
Filename, size File type Python version Upload date Hashes
Filename, size trek-0.0.1_-py2-none-any.whl (18.2 kB) File type Wheel Python version 2.7 Upload date Hashes View hashes
Filename, size trek-0.0.1-.tar.gz (5.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page