Go · SQL

goose migrations, drawn as a database diagram

SQL files with -- +goose Up and -- +goose Down sections, one version number per file. SchemaDrawer runs goose v3.28.0 against a throw-away database of the engine you choose and returns an SVG of the schema it produces.

Get startedgoose documentation

What to upload

Upload the migrations directory: files named <version>_<title>.sql with the statements under -- +goose Up and, optionally, -- +goose Down.

The sample below is the PetClinic schema written for goose, one of the sets SchemaDrawer's own tests draw on every engine:

db/migrations/
├── 00001_create_owners_and_pets.sql
├── 00002_create_vets.sql
└── 00003_create_visits.sql

Formats

SQL migrations. Go migrations are compiled into your own binary and never reach a standalone CLI, so they cannot be uploaded.

How it runs

goose up. The database is a fresh PostgreSQL, MySQL, MariaDB, SQL Server, Oracle or SQLite container in the version you ask for; nothing of yours is touched.

Databases you can draw goose on

PostgreSQL 10, 11, 12, 13, 14, 15, 16, 17, 18 MySQL 8.0, 8.4, 9 MariaDB 10.6, 11.4, 11.8, 12 SQL Server 2017, 2019, 2022, 2025 Oracle SQLite

Not offered for goose: Oracle. The tool ships no driver for it, so nothing could run.

At a glance

Runs
goose v3.28.0
API value
migrationType=GOOSE
Engines
5 of 6: PostgreSQL, MySQL, MariaDB, SQL Server, SQLite
Output
SVG diagram with tables, columns and types, primary and foreign keys
Price
Free today; enterprise plans are coming
Example

The PetClinic schema in goose

Owners, pets, types, vets, specialties and visits: the same seven tables every sample set on this site creates. These are the exact files the tests upload.

-- +goose Up
CREATE TABLE owners
(
    id         INT          NOT NULL,
    first_name VARCHAR(50)  NOT NULL,
    last_name  VARCHAR(50)  NOT NULL,
    address    VARCHAR(255),
    city       VARCHAR(80),
    telephone  VARCHAR(20),
    CONSTRAINT pk_owners PRIMARY KEY (id)
);

CREATE TABLE types
(
    id   INT         NOT NULL,
    name VARCHAR(80) NOT NULL,
    CONSTRAINT pk_types PRIMARY KEY (id)
);

CREATE TABLE pets
(
    id         INT         NOT NULL,
    name       VARCHAR(50) NOT NULL,
    birth_date DATE,
    type_id    INT         NOT NULL,
    owner_id   INT         NOT NULL,
    CONSTRAINT pk_pets PRIMARY KEY (id),
    CONSTRAINT fk_pets_types FOREIGN KEY (type_id) REFERENCES types (id),
    CONSTRAINT fk_pets_owners FOREIGN KEY (owner_id) REFERENCES owners (id)
);

-- +goose Down
DROP TABLE pets;
DROP TABLE types;
DROP TABLE owners;

-- +goose Up
CREATE TABLE vets
(
    id         INT         NOT NULL,
    first_name VARCHAR(50) NOT NULL,
    last_name  VARCHAR(50) NOT NULL,
    CONSTRAINT pk_vets PRIMARY KEY (id)
);

CREATE TABLE specialties
(
    id   INT         NOT NULL,
    name VARCHAR(80) NOT NULL,
    CONSTRAINT pk_specialties PRIMARY KEY (id)
);

CREATE TABLE vet_specialties
(
    vet_id       INT NOT NULL,
    specialty_id INT NOT NULL,
    CONSTRAINT pk_vet_specialties PRIMARY KEY (vet_id, specialty_id),
    CONSTRAINT fk_vet_specialties_vets FOREIGN KEY (vet_id) REFERENCES vets (id),
    CONSTRAINT fk_vet_specialties_specialties FOREIGN KEY (specialty_id) REFERENCES specialties (id)
);

-- +goose Down
DROP TABLE vet_specialties;
DROP TABLE specialties;
DROP TABLE vets;

-- +goose Up
CREATE TABLE visits
(
    id          INT NOT NULL,
    pet_id      INT NOT NULL,
    visit_date  DATE,
    description VARCHAR(255),
    CONSTRAINT pk_visits PRIMARY KEY (id),
    CONSTRAINT fk_visits_pets FOREIGN KEY (pet_id) REFERENCES pets (id)
);

-- +goose Down
DROP TABLE visits;
diagram.svg
ER diagram of the PetClinic schema drawn by SchemaDrawer: owners, pets, types, vets, specialties, vet_specialties and visits with their columns, primary keys and foreign keys

Every variant of the sample produces these seven tables. This diagram was drawn from the Flyway variant on PostgreSQL 18; on MySQL the types read INT and VARCHAR, on Oracle the names are upper case.

Run it

Draw your goose migrations

One multipart request queues the drawing; poll the job until it succeeds and download the SVG. Or let the GitHub Action do it and open a pull request with the diagram.

With curl

curl -X POST https://schemadrawer.com/api/v1/drawing \
  -H "Request-Id: $(uuidgen)" \
  -F "userId=5f0c1d2e-3a4b-4c5d-8e6f-7a8b9c0d1e2f" \
  -F "migrationType=GOOSE" \
  -F "databaseType=POSTGRESQL" \
  -F "version=18" \
  -F "files=@db/migrations/00001_create_owners_and_pets.sql" \
  -F "files=@db/migrations/00002_create_vets.sql" \
  -F "files=@db/migrations/00003_create_visits.sql"
# {"jobId":"0b6e2f4c-8d1a-4c3e-9f7a-2a5b6c7d8e9f"}

Then poll GET https://schemadrawer.com/api/v1/drawing/{jobId} until status is SUCCESS and fetch diagramUrl. Details in the getting started guide and the API reference.

With the GitHub Action

- uses: schemadrawercom/action@v1
  with:
    sql-directory: db/migrations
    output-path: docs/schema-diagram.svg
    migration-type: GOOSE
    database-type: POSTGRESQL
    database-version: '18'
    github-token: ${{ secrets.GITHUB_TOKEN }}

The action uploads the directory, waits for the diagram and opens a pull request with the SVG. See the action reference.

Good to know

  • The Down sections are never executed.
  • The goose_db_version table is left out of the diagram.
  • A drawing may take up to 120 seconds; a job that waits in the queue longer than 10 minutes fails rather than draws. Uploads of up to 100 MB and 2000 files are accepted.
From the blog

Reading about goose and migrations

Draw your goose schema now

Upload the migration directory, get an SVG back. Free while we build it.

Get started See examples