Fixtures
You can use fixtures to load initial data into a database for testing or demonstration purposes. You can write fixtures in YAML format and load them on demand from tests or Go-based migrations.
Creating fixtures
A fixture is a plain YAML file with the ability to use text/templateopen in new window expressions to generate values. Bun unmarshals YAML data into Go models using yaml.v3open in new window and then saves the model in a database.
Here is how a fixture for a User model might look like:
- model: User
rows:
- name: John Smith
email: john@smith.com
created_at: '{{ now }}'
- name: Jonh Doe
email: john@doe.com
created_at: '{{ now }}'
A single fixture can contain data for multiple models. You can also use the _id
field to name rows and reference them from other models using text/template syntax:
- model: User
rows:
- _id: smith
name: John Smith
email: john@smith.com
created_at: '{{ now }}'
- _id: doe
name: Jonh Doe
email: john@doe.com
created_at: '{{ now }}'
- model: Org
rows:
- name: "{{ $.User.smith.Name }}'s Org"
owner_id: '{{ $.User.smith.ID }}'
- name: "{{ $.User.doe.Name }}'s Org"
owner_id: '{{ $.User.doe.ID }}'
Loading fixtures
Assuming the fixture is stored in testdata/fixture.yml
, you can load it with the following code:
// Let the db know about the models.
db.RegisterModel((*User)(nil), (*Org)(nil))
fixture := dbfixture.New(db)
err := fixture.Load(ctx, os.DirFS("testdata"), "fixture.yml")
By using fixture.WithRecreateTables()
option, you can make bun drop existing tables and replace them with new ones. Or you can use fixture.WithTruncateTables()
option to truncate tables.
fixture := dbfixture.New(db, dbfixture.WithRecreateTables())
fixture := dbfixture.New(db, dbfixture.WithTruncateTables())
You can also register and use in fixtures custom template functions:
funcMap := template.FuncMap{
"now": func() string {
return time.Now().Format(time.RFC3339Nano)
},
}
fixture := dbfixture.New(db, dbfixture.WithTemplateFuncs(funcMap))
Retrieving fixture data
Later you can retrieve the loaded models using Row
and MustRow
methods:
fmt.Println("Smith", fixture.MustRow("User.smith").(*User))
You can also retrieve rows without _id
field by a primary key:
fmt.Println("Org with id=1", fixture.MustRow("Org.pk1").(*Org))
Field names
Bun uses SQL column names to find the matching struct field and then calls yaml.v3open in new window to unmarshal the data. So when unmarshaling into a struct field, you may need to use yaml
tag to override the default YAML field name.
type User struct {
ID int64 `bun:",pk,autoincrement"`
Params UserParams `bun:"type:jsonb"`
}
type UserParams struct {
Param1 string `yaml:"param1"`
Param2 string `yaml:"param2"`
}
Source code
You can find the source code for the example above on GitHubopen in new window.