Lightweight, SQL-first Golang ORM for PostgreSQL, MySQL, MSSQL, SQLite, and Oracle
Bun is a modern ORM that embraces SQL rather than hiding it. Write complex queries in Go with type
safety, powerful scanning capabilities, and database-agnostic code that works across multiple SQL
databases.
database/sql with minimal overheadgo get github.com/uptrace/bun
package main
import (
"context"
"database/sql"
"fmt"
"github.com/uptrace/bun"
"github.com/uptrace/bun/dialect/sqlitedialect"
"github.com/uptrace/bun/driver/sqliteshim"
)
func main() {
ctx := context.Background()
// Open database
sqldb, err := sql.Open(sqliteshim.ShimName, "file::memory:")
if err != nil {
panic(err)
}
// Create Bun instance
db := bun.NewDB(sqldb, sqlitedialect.New())
// Define model
type User struct {
ID int64 `bun:",pk,autoincrement"`
Name string `bun:",notnull"`
}
// Create table
db.NewCreateTable().Model((*User)(nil)).Exec(ctx)
// Insert user
user := &User{Name: "John Doe"}
db.NewInsert().Model(user).Exec(ctx)
// Query user
err = db.NewSelect().Model(user).Where("id = ?", user.ID).Scan(ctx)
fmt.Printf("User: %+v\n", user)
}
Write sophisticated queries that remain readable and maintainable:
regionalSales := db.NewSelect().
ColumnExpr("region").
ColumnExpr("SUM(amount) AS total_sales").
TableExpr("orders").
GroupExpr("region")
topRegions := db.NewSelect().
ColumnExpr("region").
TableExpr("regional_sales").
Where("total_sales > (SELECT SUM(total_sales) / 10 FROM regional_sales)")
var results []struct {
Region string `bun:"region"`
Product string `bun:"product"`
ProductUnits int `bun:"product_units"`
ProductSales int `bun:"product_sales"`
}
err := db.NewSelect().
With("regional_sales", regionalSales).
With("top_regions", topRegions).
ColumnExpr("region, product").
ColumnExpr("SUM(quantity) AS product_units").
ColumnExpr("SUM(amount) AS product_sales").
TableExpr("orders").
Where("region IN (SELECT region FROM top_regions)").
GroupExpr("region, product").
Scan(ctx, &results)
Scan query results into various Go types:
// Into structs
var users []User
db.NewSelect().Model(&users).Scan(ctx)
// Into maps
var userMaps []map[string]interface{}
db.NewSelect().Table("users").Scan(ctx, &userMaps)
// Into scalars
var count int
db.NewSelect().Table("users").ColumnExpr("COUNT(*)").Scan(ctx, &count)
// Into individual variables
var id int64
var name string
db.NewSelect().Table("users").Column("id", "name").Limit(1).Scan(ctx, &id, &name)
| Database | Driver | Dialect |
|---|---|---|
| PostgreSQL | github.com/uptrace/bun/driver/pgdriver |
pgdialect.New() |
| MySQL/MariaDB | github.com/go-sql-driver/mysql |
mysqldialect.New() |
| SQLite | github.com/uptrace/bun/driver/sqliteshim |
sqlitedialect.New() |
| SQL Server | github.com/denisenkom/go-mssqldb |
mssqldialect.New() |
| Oracle | github.com/sijms/go-ora/v2 |
oracledialect.New() |
Define complex relationships with struct tags:
type User struct {
ID int64 `bun:",pk,autoincrement"`
Name string `bun:",notnull"`
Posts []Post `bun:"rel:has-many,join:id=user_id"`
Profile Profile `bun:"rel:has-one,join:id=user_id"`
}
type Post struct {
ID int64 `bun:",pk,autoincrement"`
Title string
UserID int64
User *User `bun:"rel:belongs-to,join:user_id=id"`
}
// Load users with their posts
var users []User
err := db.NewSelect().
Model(&users).
Relation("Posts").
Scan(ctx)
Efficient bulk operations for large datasets:
// Bulk insert
users := []User{{Name: "John"}, {Name: "Jane"}, {Name: "Bob"}}
_, err := db.NewInsert().Model(&users).Exec(ctx)
// Bulk update with CTE
_, err = db.NewUpdate().
Model(&users).
Set("updated_at = NOW()").
Where("active = ?", true).
Exec(ctx)
// Bulk delete
_, err = db.NewDelete().
Model((*User)(nil)).
Where("created_at < ?", time.Now().AddDate(-1, 0, 0)).
Exec(ctx)
Version your database schema:
import "github.com/uptrace/bun/migrate"
migrations := migrate.NewMigrations()
migrations.MustRegister(func(ctx context.Context, db *bun.DB) error {
_, err := db.NewCreateTable().Model((*User)(nil)).Exec(ctx)
return err
}, func(ctx context.Context, db *bun.DB) error {
_, err := db.NewDropTable().Model((*User)(nil)).Exec(ctx)
return err
})
migrator := migrate.NewMigrator(db, migrations)
err := migrator.Init(ctx)
err = migrator.Up(ctx)
Enable query logging for development:
import "github.com/uptrace/bun/extra/bundebug"
db.AddQueryHook(bundebug.NewQueryHook(
bundebug.WithVerbose(true),
))
Production-ready observability with distributed tracing:
import "github.com/uptrace/bun/extra/bunotel"
db.AddQueryHook(bunotel.NewQueryHook(
bunotel.WithDBName("myapp"),
))
Monitoring made easy: Bun is brought to you by β
uptrace/uptrace. Uptrace is an open-source APM tool that
supports distributed tracing, metrics, and logs. You can use it to monitor applications and set up
automatic alerts to receive notifications via email, Slack, Telegram, and others.See OpenTelemetry example which demonstrates how you can use Uptrace to
monitor Bun.
We welcome contributions! Please see our Contributing Guide for details on how to
get started.
Thanks to all our contributors: