特性
- 全功能 ORM
- 关联 (Has One,Has Many,Belongs To,Many To Many,多态,单表继承)
- Create,Save,Update,Delete,Find 中钩子方法
- 支持
Preload、Joins的预加载 - 事务,嵌套事务,Save Point,Rollback To Saved Point
- Context、预编译模式、DryRun 模式
- 批量插入,FindInBatches,Find/Create with Map,使用 SQL 表达式、Context Valuer 进行 CRUD
- SQL 构建器,Upsert,数据库锁,Optimizer/Index/Comment Hint,命名参数,子查询
- 复合主键,索引,约束
- Auto Migration
- 自定义 Logger
- 灵活的可扩展插件 API:Database Resolver(多数据库,读写分离)、Prometheus…
- 每个特性都经过了测试的重重考验
- 开发者友好
安装
go get -u gorm.io/gorm
快速入门
package main
import (
"gorm.io/gorm"
"gorm.io/driver/sqlite"
)
type Product struct {
gorm.Model
Code string
Price uint
}
func main() {
db, err := gorm.Open(sqlite.Open("test.db"), &gorm.Config{})
if err != nil {
panic("failed to connect database")
}
// 迁移 schema
db.AutoMigrate(&Product{})
// Create
db.Create(&Product{Code: "D42", Price: 100})
// Read
var product Product
db.First(&product, 1) // 根据整型主键查找
db.First(&product, "code = ?", "D42") // 查找 code 字段值为 D42 的记录
// Update - 将 product 的 price 更新为 200
db.Model(&product).Update("Price", 200)
// Update - 更新多个字段
db.Model(&product).Updates(Product{Price: 200, Code: "F42"}) // 仅更新非零值字段
db.Model(&product).Updates(map[string]interface{}{"Price": 200, "Code": "F42"})
// Delete - 删除 product
db.Delete(&product, 1)
}
连接Mysql数据库
package main
import (
"gorm.io/driver/mysql"
"gorm.io/gorm"
)
func main() {
// 参考 https://github.com/go-sql-driver/mysql#dsn-data-source-name 获取详情
dsn := "name:password@tcp(127.0.0.1:3306)/dev?charset=utf8mb4&parseTime=True&loc=Local"
db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{})
if err != nil {
println("err")
return
}
println(db)
}
插入操作
1.创建记录
user := User{Name: "Jinzhu", Age: 18, Birthday: time.Now()}
result := db.Create(&user) // 通过数据的指针来创建
user.ID // 返回插入数据的主键
result.Error // 返回 error
result.RowsAffected // 返回插入记录的条数
我们还可以使用 Create() 创建多项记录:
users := []*User{
User{Name: "Jinzhu", Age: 18, Birthday: time.Now()},
User{Name: "Jackson", Age: 19, Birthday: time.Now()},
}
result := db.Create(users) // pass a slice to insert multiple row
result.Error // returns error
result.RowsAffected // returns inserted records count
2.用指定的字段创建记录
创建记录并为指定的字段分配值:
db.Select("Name", "Age", "CreatedAt").Create(&user)
// INSERT INTO `users` (`name`,`age`,`created_at`) VALUES ("jinzhu", 18, "2020-07-04 11:05:21.775")
创建记录并忽略要省略的传递字段的值:
db.Omit("Name", "Age", "CreatedAt").Create(&user)
// INSERT INTO `users` (`birthday`,`updated_at`) VALUES ("2020-01-01 00:00:00.000", "2020-07-04 11:05:21.775")
3.批量插入
var users = []User{{Name: "jinzhu1"}, {Name: "jinzhu2"}, {Name: "jinzhu3"}}
db.Create(&users)
for _, user := range users {
user.ID // 1,2,3
}
4.根据 Map 创建
db.Model(&User{}).Create(map[string]interface{}{
"Name": "jinzhu", "Age": 18,
})
// batch insert from `[]map[string]interface{}{}`
db.Model(&User{}).Create([]map[string]interface{}{
{"Name": "jinzhu_1", "Age": 18},
{"Name": "jinzhu_2", "Age": 20},
})
5.使用 SQL 表达式、Context Valuer 创建记录
// Create from map
db.Model(User{}).Create(map[string]interface{}{
"Name": "jinzhu",
"Location": clause.Expr{SQL: "ST_PointFromText(?)", Vars: []interface{}{"POINT(100 100)"}},
})
// INSERT INTO `users` (`name`,`location`) VALUES ("jinzhu",ST_PointFromText("POINT(100 100)"));
// Create from customized data type
type Location struct {
X, Y int
}
// Scan implements the sql.Scanner interface
func (loc *Location) Scan(v interface{}) error {
// Scan a value into struct from database driver
}
func (loc Location) GormDataType() string {
return "geometry"
}
func (loc Location) GormValue(ctx context.Context, db *gorm.DB) clause.Expr {
return clause.Expr{
SQL: "ST_PointFromText(?)",
Vars: []interface{}{fmt.Sprintf("POINT(%d %d)", loc.X, loc.Y)},
}
}
type User struct {
Name string
Location Location
}
db.Create(&User{
Name: "jinzhu",
Location: Location{X: 100, Y: 100},
})
// INSERT INTO `users` (`name`,`location`) VALUES ("jinzhu",ST_PointFromText("POINT(100 100)"))
查询操作
1. 查询
// 获取第一条记录,按主键排序
db.First(&user)
//// SELECT * FROM users ORDER BY id LIMIT 1;
// 获取最后一条记录,按主键排序
db.Last(&user)
//// SELECT * FROM users ORDER BY id DESC LIMIT 1;
// 获取所有记录
db.Find(&users)
//// SELECT * FROM users;
// 使用主键获取记录
db.First(&user, 10)
//// SELECT * FROM users WHERE id = 10;
2. where条件查询
// 获取第一个匹配记录
db.Where("name = ?", "jinzhu").First(&user)
//// SELECT * FROM users WHERE name = 'jinzhu' limit 1;
// 获取所有匹配记录
db.Where("name = ?", "jinzhu").Find(&users)
//// SELECT * FROM users WHERE name = 'jinzhu';
db.Where("name <> ?", "jinzhu").Find(&users)
// IN
db.Where("name in (?)", []string{"jinzhu", "jinzhu 2"}).Find(&users)
// LIKE
db.Where("name LIKE ?", "%jin%").Find(&users)
// AND
db.Where("name = ? AND age >= ?", "jinzhu", "22").Find(&users)
// Time
db.Where("updated_at > ?", lastWeek).Find(&users)
db.Where("created_at BETWEEN ? AND ?", lastWeek, today).Find(&users)
3. Not条件查询
db.Not("name", "jinzhu").First(&user)
//// SELECT * FROM users WHERE name <> "jinzhu" LIMIT 1;
// Not In
db.Not("name", []string{"jinzhu", "jinzhu 2"}).Find(&users)
//// SELECT * FROM users WHERE name NOT IN ("jinzhu", "jinzhu 2");
// Not In slice of primary keys
db.Not([]int64{1,2,3}).First(&user)
//// SELECT * FROM users WHERE id NOT IN (1,2,3);
db.Not([]int64{}).First(&user)
//// SELECT * FROM users;
// Plain SQL
db.Not("name = ?", "jinzhu").First(&user)
//// SELECT * FROM users WHERE NOT(name = "jinzhu");
// Struct
db.Not(User{Name: "jinzhu"}).First(&user)
//// SELECT * FROM users WHERE name <> "jinzhu";
4. 带内联条件的查询
// 按主键获取
db.First(&user, 23)
//// SELECT * FROM users WHERE id = 23 LIMIT 1;
// 简单SQL
db.Find(&user, "name = ?", "jinzhu")
//// SELECT * FROM users WHERE name = "jinzhu";
db.Find(&users, "name <> ? AND age > ?", "jinzhu", 20)
//// SELECT * FROM users WHERE name <> "jinzhu" AND age > 20;
// Struct
db.Find(&users, User{Age: 20})
//// SELECT * FROM users WHERE age = 20;
// Map
db.Find(&users, map[string]interface{}{"age": 20})
//// SELECT * FROM users WHERE age = 20
5. Or条件查询
db.Where("role = ?", "admin").Or("role = ?", "super_admin").Find(&users)
//// SELECT * FROM users WHERE role = 'admin' OR role = 'super_admin';
// Struct
db.Where("name = 'jinzhu'").Or(User{Name: "jinzhu 2"}).Find(&users)
//// SELECT * FROM users WHERE name = 'jinzhu' OR name = 'jinzhu 2';
// Map
db.Where("name = 'jinzhu'").Or(map[string]interface{}{"name": "jinzhu 2"}).Find(&users)
6.Group & Having
rows, err := db.Table("orders").Select("date(created_at) as date, sum(amount) as total").Group("date(created_at)").Rows()
for rows.Next() {
...
}
rows, err := db.Table("orders").Select("date(created_at) as date, sum(amount) as total").Group("date(created_at)").Having("sum(amount) > ?", 100).Rows()
for rows.Next() {
...
}
type Result struct {
Date time.Time
Total int64
}
db.Table("orders").Select("date(created_at) as date, sum(amount) as total").Group("date(created_at)").Having("sum(amount) > ?", 100).Scan(&results)
Update操作
1.更新全部字段
db.First(&user)
user.Name = "jinzhu 2"
user.Age = 100
db.Save(&user)
//// UPDATE users SET name='jinzhu 2', age=100, birthday='2016-01-01', updated_at = '2013-11-17 21:34:10' WHERE id=111;
2.更新更改字段
如果只想更新更改的字段,可以使用Update,Updates
// 更新单个属性(如果更改)
db.Model(&user).Update("name", "hello")
//// UPDATE users SET name='hello', updated_at='2013-11-17 21:34:10' WHERE id=111;
// 使用组合条件更新单个属性
db.Model(&user).Where("active = ?", true).Update("name", "hello")
//// UPDATE users SET name='hello', updated_at='2013-11-17 21:34:10' WHERE id=111 AND active=true;
// 使用`map`更新多个属性,只会更新这些更改的字段
db.Model(&user).Updates(map[string]interface{}{"name": "hello", "age": 18, "actived": false})
//// UPDATE users SET name='hello', age=18, actived=false, updated_at='2013-11-17 21:34:10' WHERE id=111;
// 使用`struct`更新多个属性,只会更新这些更改的和非空白字段
db.Model(&user).Updates(User{Name: "hello", Age: 18})
//// UPDATE users SET name='hello', age=18, updated_at = '2013-11-17 21:34:10' WHERE id = 111;
// 警告:当使用struct更新时,FORM将仅更新具有非空值的字段
// 对于下面的更新,什么都不会更新为"",0,false是其类型的空白值
db.Model(&user).Updates(User{Name: "", Age: 0, Actived: false})
3.更新选择的字段
如果您只想在更新时更新或忽略某些字段,可以使用Select,Omit
db.Model(&user).Select("name").Updates(map[string]interface{}{"name": "hello", "age": 18, "actived": false})
//// UPDATE users SET name='hello', updated_at='2013-11-17 21:34:10' WHERE id=111;
db.Model(&user).Omit("name").Updates(map[string]interface{}{"name": "hello", "age": 18, "actived": false})
//// UPDATE users SET age=18, actived=false, updated_at='2013-11-17 21:34:10' WHERE id=111;
4.使用SQL表达式更新
DB.Model(&product).Update("price", gorm.Expr("price * ? + ?", 2, 100))
//// UPDATE "products" SET "price" = price * '2' + '100', "updated_at" = '2013-11-17 21:34:10' WHERE "id" = '2';
DB.Model(&product).Updates(map[string]interface{}{"price": gorm.Expr("price * ? + ?", 2, 100)})
//// UPDATE "products" SET "price" = price * '2' + '100', "updated_at" = '2013-11-17 21:34:10' WHERE "id" = '2';
DB.Model(&product).UpdateColumn("quantity", gorm.Expr("quantity - ?", 1))
//// UPDATE "products" SET "quantity" = quantity - 1 WHERE "id" = '2';
DB.Model(&product).Where("quantity > 1").UpdateColumn("quantity", gorm.Expr("quantity - ?", 1))
//// UPDATE "products" SET "quantity" = quantity - 1 WHERE "id" = '2' AND quantity > 1;
Delete操作
1.删除/软删除
警告删除记录时,需要确保其主要字段具有值,GORM将使用主键删除记录,如果主要字段为空,GORM将删除模型的所有记录
// 删除存在的记录
db.Delete(&email)
//// DELETE from emails where id=10;
// 为Delete语句添加额外的SQL选项
db.Set("gorm:delete_option", "OPTION (OPTIMIZE FOR UNKNOWN)").Delete(&email)
//// DELETE from emails where id=10 OPTION (OPTIMIZE FOR UNKNOWN);
2.批量删除
删除所有匹配记录
db.Where("email LIKE ?", "%jinzhu%").Delete(Email{})
//// DELETE from emails where email LIKE "%jinhu%";
db.Delete(Email{}, "email LIKE ?", "%jinzhu%")
//// DELETE from emails where email LIKE "%jinhu%";
3.软删除
如果模型有DeletedAt字段,它将自动获得软删除功能! 那么在调用Delete时不会从数据库中永久删除,而是只将字段DeletedAt的值设置为当前时间。
db.Delete(&user)
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE id = 111;
// 批量删除
db.Where("age = ?", 20).Delete(&User{})
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE age = 20;
// 软删除的记录将在查询时被忽略
db.Where("age = 20").Find(&user)
//// SELECT * FROM users WHERE age = 20 AND deleted_at IS NULL;
// 使用Unscoped查找软删除的记录
db.Unscoped().Where("age = 20").Find(&users)
//// SELECT * FROM users WHERE age = 20;
// 使用Unscoped永久删除记录
db.Unscoped().Delete(&order)
//// DELETE FROM orders WHERE id=10;