Skip to main content

A database migration tool for Python applications.

Project description

MIGRETTI

Migretti is a database migration tool designed for Python applications utilizing PostgreSQL. It provides a strict, SQL-first approach to schema management, ensuring atomicity, consistency, and traceability of database changes.

1. INSTALLATION

To install Migretti, use pip:

pip install migretti

Dependencies include psycopg[binary], pyyaml, python-ulid, python-dotenv, and sqlparse.

2. GETTING STARTED

Initialize a new migration project in your repository root:

mg init

This command creates a migrations/ directory and a mg.yaml configuration file.

3. CONFIGURATION

Configuration is managed via the mg.yaml file. The tool also supports environment variable overrides and interpolation.

Example mg.yaml:

database:
  host: localhost
  port: 5432
  user: postgres
  password: ${DB_PASSWORD}
  dbname: my_database

lock_id: 894321

envs:
  production:
    database:
      host: db.prod.example.com
      dbname: prod_db
    lock_id: 999999

hooks:
  pre_apply: echo "Backup starting..."
  post_apply: echo "Migration complete."

Environment Variables:

  • MG_DATABASE_URL: Overrides connection settings (e.g., postgresql://user:pass@host/db).
  • MG_ENV: Selects the active environment profile (default: default).
  • MG_LOCK_ID: Overrides the advisory lock ID.

Environment variable interpolation (e.g., ${VAR}) is supported within mg.yaml.

4. MIGRATION WORKFLOW

4.1. Creating Migrations

Generate a new migration script:

mg create add_users_table

This creates a file in migrations/ with a unique ULID prefix. Edit the file to define the schema changes:

-- migration: Add Users Table
-- id: 01H...

-- migrate: up
CREATE TABLE users (id SERIAL PRIMARY KEY, name TEXT);

-- migrate: down
DROP TABLE users;

4.2. Applying Migrations

Apply all pending migrations:

mg apply

To apply only the next pending migration:

mg up

4.3. Rolling Back

Rollback the last applied migration:

mg down

Rollback multiple steps:

mg rollback 3

4.4. Status and Verification

View the status of all migrations:

mg status
mg list

Verify that applied migrations on disk match the database checksums:

mg verify

5. ADVANCED FEATURES

5.1. Non-Transactional Migrations

Certain operations, such as CREATE INDEX CONCURRENTLY, cannot run inside a transaction block. Use the -- migrate: no-transaction directive in your SQL file.

-- migrate: no-transaction
-- migrate: up
CREATE INDEX CONCURRENTLY idx_users ON users(name);

If a non-transactional migration fails, Migretti records a "failed" status in the database. You must manually resolve the issue and then fix the migration state.

5.2. Dry Run

Preview the SQL to be executed without modifying the database:

mg apply --dry-run

For transactional migrations, Migretti performs a "Smart Dry Run," executing the SQL inside a transaction that is immediately rolled back to ensure validity.

5.3. Data Seeding

Manage data seeding scripts in the seeds/ directory.

Create a seed file:

mg seed create initial_data

Run all seeds:

mg seed

5.4. Hooks

Define shell commands to run before or after operations in mg.yaml:

hooks:
  pre_apply: ./scripts/backup_db.sh
  post_rollback: ./scripts/notify_team.sh

Supported hooks: pre_apply, post_apply, pre_rollback, post_rollback.

5.5. Migration Squashing

Combine multiple pending migrations into a single file to maintain a clean history:

mg squash release_v1

5.6. Production Safety

When running against environments named prod, production, or live, Migretti requires interactive confirmation unless the --yes flag is provided.

5.7. Concurrency Control

Migretti uses PostgreSQL advisory locks to ensure that only one migration process runs simultaneously, preventing race conditions in distributed deployment environments.

5.8. Logging

For machine-readable output, use the JSON logging flag:

mg apply --json-log

6. LICENSE

This software is released under the Apache License 2.0.

Project details


Download files

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

Source Distribution

migretti-0.9.2.tar.gz (37.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

migretti-0.9.2-py3-none-any.whl (26.0 kB view details)

Uploaded Python 3

File details

Details for the file migretti-0.9.2.tar.gz.

File metadata

  • Download URL: migretti-0.9.2.tar.gz
  • Upload date:
  • Size: 37.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for migretti-0.9.2.tar.gz
Algorithm Hash digest
SHA256 5f6a32db43e2ca70088994b4c872e63f982352bc725160effe304ba7f6a103a5
MD5 1ef8f7157560110e2ad49395d6ce5e3f
BLAKE2b-256 c10de6672d4dee422470f522c1fa355cd6e61309500146caac219e0e2731cf4b

See more details on using hashes here.

File details

Details for the file migretti-0.9.2-py3-none-any.whl.

File metadata

  • Download URL: migretti-0.9.2-py3-none-any.whl
  • Upload date:
  • Size: 26.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for migretti-0.9.2-py3-none-any.whl
Algorithm Hash digest
SHA256 dc0d30101dc012ad0b44268f566d5ad7fc1a13401fd9705325827183f431a3a6
MD5 8f64cd112e86087d5a7a0a4ed1eedda0
BLAKE2b-256 f96eae6aa02a205e424aa10892170372ec86d91e123aa46e31366065727742c6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page