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Lightweight MongoDB schema migration tool

Project description

mongrator

PyPI Version Python Versions Monthly Downloads Build Status Coverage Status

Lightweight MongoDB schema migration tool with synchronous and asynchronous PyMongo support.

Installation

pip install mongrator

Or with uv:

uv add mongrator

Quick start

# Create config and migrations directory
mongrator init

# Generate a new migration file
mongrator create add_users_email_index

# Check migration status
mongrator status

# Apply pending migrations
mongrator up

# Roll back the last migration
mongrator down

Configuration

mongrator init creates a mongrator.toml stub:

uri = "mongodb://localhost:27017"
database = "mydb"
migrations_dir = "migrations"
collection = "mongrator_migrations"  # optional

Alternatively, configure via environment variables:

Variable Description Required
MONGRATOR_URI MongoDB connection URI yes
MONGRATOR_DB Database name yes
MONGRATOR_MIGRATIONS_DIR Path to migrations directory no (default: migrations)
MONGRATOR_COLLECTION Tracking collection name no (default: mongrator_migrations)

Writing migrations

Migration files are plain Python named {timestamp}_{slug}.py (e.g. 20260408_143022_add_users_email_index.py). Each file must define an up(db) function. A down(db) function is optional but enables rollback.

Using the ops helpers (recommended)

The ops helpers record their own inverses, so down() is generated automatically:

from mongrator import ops

def up(db):
    return [
        ops.create_index("users", {"email": 1}, unique=True),
        ops.rename_field("users", "username", "handle"),
        ops.add_field("users", "verified", default_value=False),
    ]

Using plain PyMongo

For complex logic, write directly against the db argument and define down() manually:

def up(db):
    db["orders"].update_many(
        {"status": {"$exists": False}},
        {"$set": {"status": "pending"}},
    )

def down(db):
    db["orders"].update_many({}, {"$unset": {"status": ""}})

Available ops helpers

Helper Reversible Description
ops.create_index(collection, keys, **kwargs) yes Create an index
ops.drop_index(collection, index_name, keys=None, **kwargs) keys1 Drop an index by name
ops.rename_field(collection, old, new, filter=None) yes Rename a field across documents
ops.add_field(collection, field, default_value, filter=None) yes Add a field with a default value

CLI reference

mongrator init                        create migrations dir and mongrator.toml
mongrator create <name>               generate a new migration file
mongrator status                      show applied/pending migrations
mongrator up [--target ID]            apply pending migrations
mongrator up --async [--target ID]    apply using async runner
mongrator down [--steps N]            roll back N migrations (default: 1)
mongrator down --async [--steps N]    roll back using async runner
mongrator validate                    verify checksums of applied migrations
mongrator --config PATH <command>     use an alternate config file

Async usage

Pass --async to up or down to use the async runner (backed by pymongo.AsyncMongoClient):

mongrator up --async

To use the runners programmatically:

# Synchronous
from pathlib import Path
import pymongo
from mongrator.config import MigratorConfig
from mongrator.runner import SyncRunner

config = MigratorConfig(uri="mongodb://localhost:27017", database="mydb", migrations_dir=Path("migrations"))
runner = SyncRunner(pymongo.MongoClient(config.uri), config)
runner.up()

# Asynchronous
from pymongo import AsyncMongoClient
from mongrator.runner import AsyncRunner

runner = AsyncRunner(AsyncMongoClient(config.uri), config)
await runner.up()

Migration tracking

Applied migrations are recorded in the mongrator_migrations collection (configurable) within the target database. Each document stores:

  • _id — migration file stem
  • applied_at — UTC timestamp
  • checksum — SHA-256 of the migration file at time of application
  • direction"up" or "down"
  • duration_ms — execution time in milliseconds

Running mongrator validate compares current file checksums against recorded values and reports any modifications.

  1. Only reversible when keys is provided. See writing migrations for details.

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