Skip to main content

A simple database migration system for SQLite, based on sqlite-utils

Project description

sqlite-migrate

PyPI Changelog Tests License

A simple database migration system for SQLite, based on sqlite-utils.

This project is an early alpha. Expect breaking changes.

Installation

This tool works as a plugin for sqlite-utils. First install that:

pip install sqlite-utils

Then install this plugin like so:

sqlite-utils install sqlite-migrate

Migration files

This tool works against migration files. A migration file looks like this:

from sqlite_migrate import Migrations

# Pick a unique name here - it must not clash with other migration sets that
# the user might run against the same database.

migration = Migrations("creatures")

# Use this decorator against functions that implement migrations
@migration()
def m001_create_table(db):
    # db is a sqlite-utils Database instance
    db["creatures"].create(
        {"id": int, "name": str, "species": str},
        pk="id"
    )

@migration()
def m002_add_weight(db):
    # db is a sqlite-utils Database instance
    db["creatures"].add_column("weight", float)

Here is documentation on the Database instance passed to each migration function.

Running migrations

Running this command will execute those migrations in sequence against the specified database file.

Call migrate with a path to your database and a path to the migrations file you want to apply:

sqlite-utils migrate creatures.db path/to/migrations.py

Running this multiple times will have no additional affect, unless you add more migration functions to the file.

If you call it without arguments it will search for and apply any migrations.py files in the current directory or any of its subdirectories.

You can also pass the path to a directory, in which case all migrations.py files in that directory and its subdirectories will be applied:

sqlite-utils migrate creatures.db path/to/parent/

When applying a single migrations file you can use the --stop-before option to apply all migrations up to but excluding the specified migration:

sqlite-utils migrate creatures.db path/to/migrations.py --stop-before m002_add_weight

Listing migrations

Add --list to list migrations without running them, for example:

sqlite-utils migrate creatures.db --list

The output will look something like this:

Migrations for: creatures

  Applied:
    m001_create_table - 2023-07-23 04:09:40.324002
    m002_add_weight - 2023-07-23 04:09:40.324649
    m003_add_age - 2023-07-23 04:09:44.441616
    m003_cleanup - 2023-07-23 04:09:44.443394
    m004_cleanup - 2023-07-23 04:09:44.444184
    m005_cleanup - 2023-07-23 04:09:44.445389
    m006_cleanup - 2023-07-23 04:09:44.446742
    m007_cleanup - 2023-07-23 04:16:02.529983

  Pending:
    m008_cleanup

Verbose mode

Add -v or --verbose for verbose output, which will show the schema before and after the migrations were applied along with a diff:

sqlite-utils migrate creatures.db --verbose

Example output:

Migrating creatures.db

Schema before:

  CREATE TABLE "_sqlite_migrations" (
     [migration_set] TEXT,
     [name] TEXT,
     [applied_at] TEXT,
     PRIMARY KEY ([migration_set], [name])
  );
  CREATE TABLE [creatures] (
     [id] INTEGER PRIMARY KEY,
     [name] TEXT,
     [species] TEXT
  , [weight] FLOAT);

Schema after:

  CREATE TABLE "_sqlite_migrations" (
     [migration_set] TEXT,
     [name] TEXT,
     [applied_at] TEXT,
     PRIMARY KEY ([migration_set], [name])
  );
  CREATE TABLE "creatures" (
     [id] INTEGER PRIMARY KEY,
     [name] TEXT,
     [species] TEXT,
     [weight] FLOAT,
     [age] INTEGER,
     [shoe_size] INTEGER
  );

Schema diff:

    [applied_at] TEXT,
    PRIMARY KEY ([migration_set], [name])
  );
-CREATE TABLE [creatures] (
+CREATE TABLE "creatures" (
    [id] INTEGER PRIMARY KEY,
    [name] TEXT,
-   [species] TEXT
-, [weight] FLOAT);
+   [species] TEXT,
+   [weight] FLOAT,
+   [age] INTEGER,
+   [shoe_size] INTEGER
+);

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

sqlite-migrate-0.1b0.tar.gz (10.7 kB view details)

Uploaded Source

Built Distribution

sqlite_migrate-0.1b0-py3-none-any.whl (10.0 kB view details)

Uploaded Python 3

File details

Details for the file sqlite-migrate-0.1b0.tar.gz.

File metadata

  • Download URL: sqlite-migrate-0.1b0.tar.gz
  • Upload date:
  • Size: 10.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for sqlite-migrate-0.1b0.tar.gz
Algorithm Hash digest
SHA256 8d502b3ca4b9c45e56012bd35c03d23235f0823c976d4ce940cbb40e33087ded
MD5 d904e85ee8a035b4d0848ad38115b3a6
BLAKE2b-256 13861463a00d3c4bdb707c0ed4077d17687465a0aa9444593f66f6c4b49e39b5

See more details on using hashes here.

File details

Details for the file sqlite_migrate-0.1b0-py3-none-any.whl.

File metadata

File hashes

Hashes for sqlite_migrate-0.1b0-py3-none-any.whl
Algorithm Hash digest
SHA256 a4125e35e1de3dc56b6b6ec60e9833ce0ce20192b929ddcb2d4246c5098859c6
MD5 6c96c7bacf8b84c9b241432ce60f978d
BLAKE2b-256 df92994545b912e6d6feb40323047f02ca039321e690aa2c27afcd5c4105e37b

See more details on using hashes here.

Supported by

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