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Dbmate

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Dbmate is a database migration tool, to keep your database schema in sync across multiple developers and your production servers.

It is a standalone command line tool, which can be used with Go, Node.js, Python, Ruby, PHP, or any other language or framework you are using to write database-backed applications. This is especially helpful if you are writing many services in different languages, and want to maintain some sanity with consistent development tools.

For a comparison between dbmate and other popular database schema migration tools, please see the Alternatives table.

Features

  • Supports MySQL, PostgreSQL, SQLite, and ClickHouse.
  • Uses plain SQL for writing schema migrations.
  • Migrations are timestamp-versioned, to avoid version number conflicts with multiple developers.
  • Migrations are run atomically inside a transaction.
  • Supports creating and dropping databases (handy in development/test).
  • Supports saving a schema.sql file to easily diff schema changes in git.
  • Database connection URL is definied using an environment variable (DATABASE_URL by default), or specified on the command line.
  • Built-in support for reading environment variables from your .env file.
  • Easy to distribute, single self-contained binary.

Installation

macOS

Install using Homebrew:

$ brew install dbmate

Linux

Download the binary directly:

$ sudo curl -fsSL -o /usr/local/bin/dbmate https://github.com/amacneil/dbmate/releases/latest/download/dbmate-linux-amd64
$ sudo chmod +x /usr/local/bin/dbmate

Docker

You can run dbmate using the official docker image (remember to set --network=host or see this comment for more tips on using dbmate with docker networking):

$ docker run --rm --network=host -it amacneil/dbmate --help

If you wish to create or apply migrations, you will need to use Docker's bind mount feature to make your local working directory available inside the dbmate container:

$ docker run --rm -it -v "$(pwd)"/db:/db amacneil/dbmate new create_users_table

Heroku

To use dbmate on Heroku, the easiest method is to store the linux binary in your git repository:

$ mkdir -p bin
$ curl -fsSL -o bin/dbmate https://github.com/amacneil/dbmate/releases/latest/download/dbmate-linux-amd64
$ chmod +x bin/dbmate
$ git add bin/dbmate
$ git commit -m "Add dbmate binary"
$ git push heroku master

You can then run dbmate on heroku:

$ heroku run bin/dbmate up

Commands

dbmate           # print help
dbmate new       # generate a new migration file
dbmate up        # create the database (if it does not already exist) and run any pending migrations
dbmate create    # create the database
dbmate drop      # drop the database
dbmate migrate   # run any pending migrations
dbmate rollback  # roll back the most recent migration
dbmate down      # alias for rollback
dbmate status    # show the status of all migrations (supports --exit-code and --quiet)
dbmate dump      # write the database schema.sql file
dbmate wait      # wait for the database server to become available

Usage

Dbmate locates your database using the DATABASE_URL environment variable by default. If you are writing a twelve-factor app, you should be storing all connection strings in environment variables.

To make this easy in development, dbmate looks for a .env file in the current directory, and treats any variables listed there as if they were specified in the current environment (existing environment variables take preference, however).

If you do not already have a .env file, create one and add your database connection URL:

$ cat .env
DATABASE_URL="postgres://postgres@127.0.0.1:5432/myapp_development?sslmode=disable"

DATABASE_URL should be specified in the following format:

protocol://username:password@host:port/database_name?options
  • protocol must be one of mysql, postgres, postgresql, sqlite, sqlite3, clickhouse
  • host can be either a hostname or IP address
  • options are driver-specific (refer to the underlying Go SQL drivers if you wish to use these)

MySQL

DATABASE_URL="mysql://username:password@127.0.0.1:3306/database_name"

A socket parameter can be specified to connect through a unix socket:

DATABASE_URL="mysql://username:password@/database_name?socket=/var/run/mysqld/mysqld.sock"

PostgreSQL

When connecting to Postgres, you may need to add the sslmode=disable option to your connection string, as dbmate by default requires a TLS connection (some other frameworks/languages allow unencrypted connections by default).

DATABASE_URL="postgres://username:password@127.0.0.1:5432/database_name?sslmode=disable"

A socket or host parameter can be specified to connect through a unix socket (note: specify the directory only):

DATABASE_URL="postgres://username:password@/database_name?socket=/var/run/postgresql"

SQLite

SQLite databases are stored on the filesystem, so you do not need to specify a host. By default, files are relative to the current directory. For example, the following will create a database at ./db/database_name.sqlite3:

DATABASE_URL="sqlite:///db/database_name.sqlite3"

To specify an absolute path, add an additional forward slash to the path. The following will create a database at /tmp/database_name.sqlite3:

DATABASE_URL="sqlite:////tmp/database_name.sqlite3"

ClickHouse

DATABASE_URL="clickhouse://username:password@127.0.0.1:9000/database_name"

or

DATABASE_URL="clickhouse://127.0.0.1:9000?username=username&password=password&database=database_name"

See other supported connection options.

Creating Migrations

To create a new migration, run dbmate new create_users_table. You can name the migration anything you like. This will create a file db/migrations/20151127184807_create_users_table.sql in the current directory:

-- migrate:up

-- migrate:down

To write a migration, simply add your SQL to the migrate:up section:

-- migrate:up
create table users (
  id integer,
  name varchar(255),
  email varchar(255) not null
);

-- migrate:down

Note: Migration files are named in the format [version]_[description].sql. Only the version (defined as all leading numeric characters in the file name) is recorded in the database, so you can safely rename a migration file without having any effect on its current application state.

Running Migrations

Run dbmate up to run any pending migrations.

$ dbmate up
Creating: myapp_development
Applying: 20151127184807_create_users_table.sql
Writing: ./db/schema.sql

Note: dbmate up will create the database if it does not already exist (assuming the current user has permission to create databases). If you want to run migrations without creating the database, run dbmate migrate.

Pending migrations are always applied in numerical order. However, dbmate does not prevent migrations from being applied out of order if they are committed independently (for example: if a developer has been working on a branch for a long time, and commits a migration which has a lower version number than other already-applied migrations, dbmate will simply apply the pending migration). See #159 for a more detailed explanation.

Rolling Back Migrations

By default, dbmate doesn't know how to roll back a migration. In development, it's often useful to be able to revert your database to a previous state. To accomplish this, implement the migrate:down section:

-- migrate:up
create table users (
  id integer,
  name varchar(255),
  email varchar(255) not null
);

-- migrate:down
drop table users;

Run dbmate rollback to roll back the most recent migration:

$ dbmate rollback
Rolling back: 20151127184807_create_users_table.sql
Writing: ./db/schema.sql

Migration Options

dbmate supports options passed to a migration block in the form of key:value pairs. List of supported options:

  • transaction

transaction

transaction is useful if you need to run some SQL which cannot be executed from within a transaction. For example, in Postgres, you would need to disable transactions for migrations that alter an enum type to add a value:

-- migrate:up transaction:false
ALTER TYPE colors ADD VALUE 'orange' AFTER 'red';

transaction will default to true if your database supports it.

Schema File

When you run the up, migrate, or rollback commands, dbmate will automatically create a ./db/schema.sql file containing a complete representation of your database schema. Dbmate keeps this file up to date for you, so you should not manually edit it.

It is recommended to check this file into source control, so that you can easily review changes to the schema in commits or pull requests. It's also possible to use this file when you want to quickly load a database schema, without running each migration sequentially (for example in your test harness). However, if you do not wish to save this file, you could add it to .gitignore, or pass the --no-dump-schema command line option.

To dump the schema.sql file without performing any other actions, run dbmate dump. Unlike other dbmate actions, this command relies on the respective pg_dump, mysqldump, or sqlite3 commands being available in your PATH. If these tools are not available, dbmate will silenty skip the schema dump step during up, migrate, or rollback actions. You can diagnose the issue by running dbmate dump and looking at the output:

$ dbmate dump
exec: "pg_dump": executable file not found in $PATH

On Ubuntu or Debian systems, you can fix this by installing postgresql-client, mysql-client, or sqlite3 respectively. Ensure that the package version you install is greater than or equal to the version running on your database server.

Note: The schema.sql file will contain a complete schema for your database, even if some tables or columns were created outside of dbmate migrations.

Waiting For The Database

If you use a Docker development environment for your project, you may encounter issues with the database not being immediately ready when running migrations or unit tests. This can be due to the database server having only just started.

In general, your application should be resilient to not having a working database connection on startup. However, for the purpose of running migrations or unit tests, this is not practical. The wait command avoids this situation by allowing you to pause a script or other application until the database is available. Dbmate will attempt a connection to the database server every second, up to a maximum of 60 seconds.

If the database is available, wait will return no output:

$ dbmate wait

If the database is unavailable, wait will block until the database becomes available:

$ dbmate wait
Waiting for database....

You can also use the --wait flag with other commands if you sometimes see failures caused by the database not yet being ready:

$ dbmate --wait up
Waiting for database....
Creating: myapp_development

You can customize the timeout using --wait-timeout (default 60s). If the database is still not available, the command will return an error:

$ dbmate --wait-timeout=5s wait
Waiting for database.....
Error: unable to connect to database: dial tcp 127.0.0.1:5432: connect: connection refused

Please note that the wait command does not verify whether your specified database exists, only that the server is available and ready (so it will return success if the database server is available, but your database has not yet been created).

Options

The following command line options are available with all commands. You must use command line arguments in the order dbmate [global options] command [command options]. Most options can also be configured via environment variables (and loaded from your .env file, which is helpful to share configuration between team members).

  • --url, -u "protocol://host:port/dbname" - specify the database url directly. (env: $DATABASE_URL)
  • --env, -e "DATABASE_URL" - specify an environment variable to read the database connection URL from.
  • --migrations-dir, -d "./db/migrations" - where to keep the migration files. (env: $DBMATE_MIGRATIONS_DIR)
  • --schema-file, -s "./db/schema.sql" - a path to keep the schema.sql file. (env: $DBMATE_SCHEMA_FILE)
  • --no-dump-schema - don't auto-update the schema.sql file on migrate/rollback (env: $DBMATE_NO_DUMP_SCHEMA)
  • --wait - wait for the db to become available before executing the subsequent command (env: $DBMATE_WAIT)
  • --wait-timeout 60s - timeout for --wait flag (env: $DBMATE_WAIT_TIMEOUT)

For example, before running your test suite, you may wish to drop and recreate the test database. One easy way to do this is to store your test database connection URL in the TEST_DATABASE_URL environment variable:

$ cat .env
TEST_DATABASE_URL="postgres://postgres@127.0.0.1:5432/myapp_test?sslmode=disable"

You can then specify this environment variable in your test script (Makefile or similar):

$ dbmate -e TEST_DATABASE_URL drop
Dropping: myapp_test
$ dbmate -e TEST_DATABASE_URL --no-dump-schema up
Creating: myapp_test
Applying: 20151127184807_create_users_table.sql

Alternatively, you can specify the url directly on the command line:

$ dbmate -u "postgres://postgres@127.0.0.1:5432/myapp_test?sslmode=disable" up

The only advantage of using dbmate -e TEST_DATABASE_URL over dbmate -u $TEST_DATABASE_URL is that the former takes advantage of dbmate's automatic .env file loading.

Alternatives

Why another database schema migration tool? Dbmate was inspired by many other tools, primarily Active Record Migrations, with the goals of being trivial to configure, and language & framework independent. Here is a comparison between dbmate and other popular migration tools.

goose sql-migrate golang-migrate/migrate activerecord sequelize dbmate
Features
Plain SQL migration files
Support for creating and dropping databases
Support for saving schema dump files
Timestamp-versioned migration files
Ability to wait for database to become ready
Database connection string loaded from environment variables
Automatically load .env file
No separate configuration file
Language/framework independent ✴️ ✴️ ✴️
Drivers
PostgreSQL
MySQL
SQLite
CliсkHouse

✴️ In theory these tools could be used with other languages, but a Go development environment is required because binary builds are not provided.

If you notice any inaccuracies in this table, please propose a change.

Contributing

Dbmate is written in Go, pull requests are welcome.

Tests are run against a real database using docker-compose. To build a docker image and run the tests:

$ make docker-all

To start a development shell:

$ make docker-bash
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