Atlas is a tool for managing and migrating database schemas using modern DevOps principles. It offers two workflows:
- Declarative: Similar to Terraform, Atlas compares the current state of the database with the desired state defined in an HCL or SQL schema, and generates a migration plan to reach that state.
- Versioned: Unlike other tools, Atlas automatically plans schema migrations for you. Users can describe their desired database schema in HCL or SQL and use Atlas CLI to plan, lint, and apply the necessary migrations.
macOS + Linux:
curl -sSf https://atlasgo.sh | sh
Homebrew:
brew install ariga/tap/atlas
Docker:
docker pull arigaio/atlas
Click here to read instructions for other platforms.
Get started with Atlas by following the Getting Started docs. This tutorial teaches you how to inspect a database, generate a migration plan and apply the migration to your database.
- Schema management: The
atlas schema
command offers various options for inspecting, diffing, comparing, and modifying database schemas. - Versioned migration: The
atlas migrate
command provides a state-of-the-art experience for planning, linting, and applying migrations. - Terraform support: Managing database changes as part of a Terraform deployment workflow.
- SQL and HCL support: Atlas supports both SQL and HCL for describing database schemas.
- Multi-tenancy: Atlas includes built-in support for multi-tenant database schemas.
- Cloud integration: Atlas integrates with standard cloud services and provides an easy way to read secrets from cloud providers such as AWS Secrets Manager and GCP Secret Manager.
Easily inspect your database schema by providing a database URL and convert it to HCL, JSON or SQL.
Inspect a specific MySQL schema and get its representation in Atlas DDL syntax:
atlas schema inspect -u "mysql://root:pass@localhost:3306/example" > schema.hcl
Result
table "users" {
schema = schema.example
column "id" {
null = false
type = int
}
...
}
Inspect the entire MySQL database and get its JSON representation:
atlas schema inspect \
--url "mysql://root:pass@localhost:3306/" \
--log '{{ json . }}' | jq
Result
{
"schemas": [
{
"name": "example",
"tables": [
{
"name": "users",
"columns": [
...
]
}
]
}
]
}
Inspect a specific PostgreSQL schema and get its representation in SQL DDL syntax:
atlas schema inspect \
--url "postgres://root:pass@:5432/test?search_path=public&sslmode=disable" \
--log '{{ sql . }}'
Result
-- create "users" table
CREATE TABLE "users" ("id" integer NULL, ...);
-- create "posts" table
CREATE TABLE "posts" ("id" integer NULL, ...);
Compare two schema states and get a migration plan to transform one into the other. A state can be specified using a database URL, HCL or SQL schema, or a migration directory.
Compare two MySQL schemas:
atlas schema diff \
--from mysql://root:pass@:3306/db1 \
--to mysql://root:pass@:3306/db2
Result
-- Drop "users" table
DROP TABLE `users`;
Compare a MySQL schema with a migration directory:
atlas schema diff \
--from mysql://root:pass@:3306/db1 \
--to file://migrations \
--dev-url docker://mysql/8/db1
Compare a PostgreSQL schema with an Atlas schema in HCL format:
atlas schema diff \
--from "postgres://postgres:pass@:5432/test?search_path=public&sslmode=disable" \
--to file://schema.hcl \
--dev-url "docker://postgres/15/test"
Compare an HCL schema with an SQL schema:
atlas schema diff \
--from file://schema.sql \
--to file://schema.hcl \
--dev-url docker://postgres/15/test
Generate a migration plan and apply it to the database to bring it to the desired state. The desired state can be specified using a database URL, HCL or SQL schema, or a migration directory.
Update the database to the state defined in the HCL schema:
atlas schema apply \
--url mysql://root:pass@:3306/db1 \
--to file://schema.hcl \
--dev-url docker://mysql/8/db1
Result
-- Planned Changes:
-- Modify "users" table
ALTER TABLE `db1`.`users` DROP COLUMN `d`, ADD COLUMN `c` int NOT NULL;
Use the arrow keys to navigate: ↓ ↑ → ←
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Update the database to the state defined in a specific version of the migration directory:
atlas schema apply \
--url mysql://root:pass@:3306/db1 \
--to "file://migrations?version=20221118091226" \
--dev-url docker://mysql/8/db1
Atlas offers additional commands to assist users managing their database schemas. These include schema clean
and
schema fmt
. For more information, see the versioned migration documentation at https://atlasgo.io/declarative/inspect.
Write a new migration file to the migration directory that bring it to the desired state. The desired state can be specified using a database URL, HCL or SQL schema, or a migration directory.
Create a migration file named add_blog_posts
in the migration directory to bring the database to the state defined
in an HCL schema:
atlas migrate diff add_blog_posts \
--dir file://migrations \
--to file://schema.hcl \
--dev-url docker://mysql/8/test
Create a migration file named add_blog_posts
in the migration directory to bring the database to the state defined
in an SQL schema:
atlas migrate diff add_blog_posts \
--dir file://migrations \
--to file://schema.sql \
--dev-url docker://mysql/8/test
Create a migration file named add_blog_posts
in the migration directory to bring the database to the state defined
by another database:
atlas migrate diff add_blog_posts \
--dir file://migrations \
--to mysql://root:pass@host:3306/db \
--dev-url docker://mysql/8/test
Apply all or part of pending migration files in the migration directory on the database.
Apply all pending migration files in the migration directory on a MySQL database:
atlas migrate apply \
--url mysql://root:pass@:3306/db1 \
--dir file://migrations
Apply in dry run mode the first the pending migration file in the migration directory on a PostgreSQL schema:
atlas migrate apply \
--url "postgres://root:pass@:5432/test?search_path=public&sslmode=disable" \
--dir file://migrations \
--dry-run
Atlas offers additional commands to assist users managing their database migrations. These include migrate lint
,
migrate status
, and more. For more information, see the versioned migration documentation at https://atlasgo.io/versioned/diff.
MySQL, MariaDB, PostgresSQL, SQLite, TiDB, CockroachDB