创建
原文:https://gorm.io/docs/create.html
创建记录 Create Record
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| user := User{Name: "Jinzhu", Age: 18, Birthday: time.Now()}
result := db.Create(&user) // 将数据指针传递给Create pass pointer of data to Create
user.ID // 返回插入数据的主键 returns inserted data's primary key
result.Error // 返回错误 returns error
result.RowsAffected // 返回插入的记录数 returns inserted records count
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We can also create multiple records with Create():
我们还可以使用Create()创建多个记录:
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| users := []*User{
User{Name: "Jinzhu", Age: 18, Birthday: time.Now()},
User{Name: "Jackson", Age: 19, Birthday: time.Now()},
}
result := db.Create(users) // 传递一个切片来插入多行 pass a slice to insert multiple row
result.Error // 返回错误 returns error
result.RowsAffected // 返回插入的记录数 returns inserted records count
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NOTE You cannot pass a struct to ‘create’, so you should pass a pointer to the data.
注意:你不能将结构体直接传递给’create’,所以你应该传递数据指针。
创建选定字段的记录 Create Record With Selected Fields
Create a record and assign a value to the fields specified.
创建一个记录,并为指定的字段分配值。
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| db.Select("Name", "Age", "CreatedAt").Create(&user)
// INSERT INTO `users` (`name`,`age`,`created_at`) VALUES ("jinzhu", 18, "2020-07-04 11:05:21.775")
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Create a record and ignore the values for fields passed to omit.
创建一个记录,并忽略传递给 omit 的字段的值。
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| 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")
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批量插入 Batch Insert
To efficiently insert large number of records, pass a slice to the Create method. GORM will generate a single SQL statement to insert all the data and backfill primary key values, hook methods will be invoked too. It will begin a transaction when records can be splited into multiple batches.
为了高效地插入大量记录,可以将切片传递给 Create 方法。GORM 将生成一个单一的 SQL 语句来插入所有数据并回填主键值,同时也会调用钩子方法。当记录可以分成多个批次时,它将开始一个 事务。
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| var users = []User{{Name: "jinzhu1"}, {Name: "jinzhu2"}, {Name: "jinzhu3"}}
db.Create(&users)
for _, user := range users {
user.ID // 1,2,3
}
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You can specify batch size when creating with CreateInBatches, e.g:
在创建时可以使用 CreateInBatches 指定批处理大小,例如:
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| var users = []User{{Name: "jinzhu_1"}, ...., {Name: "jinzhu_10000"}}
// batch size 100
db.CreateInBatches(users, 100)
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Batch Insert is also supported when using Upsert and Create With Associations
在使用 Upsert 和 Create With Associations 时也支持批量插入。
NOTE initialize GORM with CreateBatchSize option, all INSERT will respect this option when creating record & associations
注意:使用 CreateBatchSize 选项初始化 GORM,所有的 INSERT 在创建记录和关联关系时都会尊重这个选项。
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| db, err := gorm.Open(sqlite.Open("gorm.db"), &gorm.Config{
CreateBatchSize: 1000,
})
db := db.Session(&gorm.Session{CreateBatchSize: 1000})
users = [5000]User{{Name: "jinzhu", Pets: []Pet{pet1, pet2, pet3}}...}
db.Create(&users)
// INSERT INTO users xxx (5 batches)
// INSERT INTO pets xxx (15 batches)
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创建钩子 Create Hooks
GORM allows user defined hooks to be implemented for BeforeSave, BeforeCreate, AfterSave, AfterCreate. These hook method will be called when creating a record, refer Hooks for details on the lifecycle
GORM 允许用户定义 BeforeSave、BeforeCreate、AfterSave 和 AfterCreate 的钩子。这些钩子方法将在创建记录时被调用,关于生命周期的详细信息,请参阅 Hooks。
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| func (u *User) BeforeCreate(tx *gorm.DB) (err error) {
u.UUID = uuid.New()
if u.Role == "admin" {
return errors.New("invalid role")
}
return
}
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If you want to skip Hooks methods, you can use the SkipHooks session mode, for example:
如果你想跳过 Hooks 方法,可以使用 SkipHooks 会话模式,例如:
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| DB.Session(&gorm.Session{SkipHooks: true}).Create(&user)
DB.Session(&gorm.Session{SkipHooks: true}).Create(&users)
DB.Session(&gorm.Session{SkipHooks: true}).CreateInBatches(users, 100)
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从映射创建 Create From Map
GORM supports create from map[string]interface{} and []map[string]interface{}{}, e.g:
GORM 支持从 map[string]interface{} 和 []map[string]interface{}{} 创建,例如:
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| db.Model(&User{}).Create(map[string]interface{}{
"Name": "jinzhu", "Age": 18,
})
// batch insert from `[]map[string]interface{}{}`
// 批量插入来自 `[]map[string]interface{}{}`
db.Model(&User{}).Create([]map[string]interface{}{
{"Name": "jinzhu_1", "Age": 18},
{"Name": "jinzhu_2", "Age": 20},
})
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NOTE When creating from map, hooks won’t be invoked, associations won’t be saved and primary key values won’t be back filled
注意 当从映射创建时,不会调用钩子,关联关系不会被保存,主键值也不会被回填
从 SQL 表达式/上下文值器创建 Create From SQL Expression/Context Valuer
GORM allows insert data with SQL expression, there are two ways to achieve this goal, create from map[string]interface{} or Customized Data Types, for example:
GORM 允许使用 SQL 表达式插入数据,有两种实现目标的方法,一种是从 map[string]interface{},另一种是自定义数据类型,例如:
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| // 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)"))
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高级 Advanced
创建关联数据 Create With Associations
When creating some data with associations, if its associations value is not zero-value, those associations will be upserted, and its Hooks methods will be invoked.
当创建一些带有关联的数据时,如果关联值不是零值,那么这些关联将被插入或更新,并且会调用其 Hooks 方法。
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| type CreditCard struct {
gorm.Model
Number string
UserID uint
}
type User struct {
gorm.Model
Name string
CreditCard CreditCard
}
db.Create(&User{
Name: "jinzhu",
CreditCard: CreditCard{Number: "411111111111"}
})
// INSERT INTO `users` ...
// INSERT INTO `credit_cards` ...
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You can skip saving associations with Select, Omit, for example:
你可以使用 Select、Omit 跳过保存关联,例如:
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| db.Omit("CreditCard").Create(&user)
// skip all associations
db.Omit(clause.Associations).Create(&user)
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默认值 Default Values
You can define default values for fields with tag default, for example:
你可以为带有标签 default 的字段定义默认值,例如:
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| type User struct {
ID int64
Name string `gorm:"default:galeone"`
Age int64 `gorm:"default:18"`
}
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Then the default value will be used when inserting into the database for zero-value fields
然后,在插入数据库时,对于零值字段,将使用 默认值。
NOTE Any zero value like 0, '', false won’t be saved into the database for those fields defined default value, you might want to use pointer type or Scanner/Valuer to avoid this, for example:
注意 任何零值,如 0、''、false,不会将这些字段的定义的默认值保存到数据库中,你可能想使用指针类型或 Scanner/Valuer 来避免这种情况,例如:
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| type User struct {
gorm.Model
Name string
Age *int `gorm:"default:18"`
Active sql.NullBool `gorm:"default:true"`
}
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NOTE You have to setup the default tag for fields having default or virtual/generated value in database, if you want to skip a default value definition when migrating, you could use default:(-), for example:
注意 你必须为数据库中具有默认值或虚拟/生成值的字段设置 default 标签,如果你想在迁移时跳过默认值定义,可以使用 default:(-),例如:
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| type User struct {
ID string `gorm:"default:uuid_generate_v3()"` // db func
FirstName string
LastName string
Age uint8
FullName string `gorm:"->;type:GENERATED ALWAYS AS (concat(firstname,' ',lastname));default:(-);"`
}
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When using virtual/generated value, you might need to disable its creating/updating permission, check out Field-Level Permission
在使用虚拟/生成值时,你可能需要禁用其创建/更新权限,查看 字段级权限控制。
Upsert / On Conflict
GORM provides compatible Upsert support for different databases
GORM 为不同的数据库提供了兼容的 Upsert 支持。
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| import "gorm.io/gorm/clause"
// 在冲突时不执行任何操作 Do nothing on conflict
db.Clauses(clause.OnConflict{DoNothing: true}).Create(&user)
// 在 `id` 冲突时将列更新为默认值 Update columns to default value on `id` conflict
db.Clauses(clause.OnConflict{
Columns: []clause.Column{{Name: "id"}},
DoUpdates: clause.Assignments(map[string]interface{}{"role": "user"}),
}).Create(&users)
// MERGE INTO "users" USING *** WHEN NOT MATCHED THEN INSERT *** WHEN MATCHED THEN UPDATE SET ***; SQL Server
// INSERT INTO `users` *** ON DUPLICATE KEY UPDATE ***; MySQL
// 使用 SQL 表达式 Use SQL expression
db.Clauses(clause.OnConflict{
Columns: []clause.Column{{Name: "id"}},
DoUpdates: clause.Assignments(map[string]interface{}{"count": gorm.Expr("GREATEST(count, VALUES(count))")}),
}).Create(&users)
// INSERT INTO `users` *** ON DUPLICATE KEY UPDATE `count`=GREATEST(count, VALUES(count));
// 在 `id` 冲突时将列更新为新值 Update columns to new value on `id` conflict
db.Clauses(clause.OnConflict{
Columns: []clause.Column{{Name: "id"}},
DoUpdates: clause.AssignmentColumns([]string{"name", "age"}),
}).Create(&users)
// MERGE INTO "users" USING *** WHEN NOT MATCHED THEN INSERT *** WHEN MATCHED THEN UPDATE SET "name"="excluded"."name"; SQL Server
// INSERT INTO "users" *** ON CONFLICT ("id") DO UPDATE SET "name"="excluded"."name", "age"="excluded"."age"; PostgreSQL
// INSERT INTO `users` *** ON DUPLICATE KEY UPDATE `name`=VALUES(name),`age`=VALUES(age); MySQL
// 在冲突时更新除主键和具有 SQL 函数默认值的列之外的所有列 Update all columns to new value on conflict except primary keys and those columns having default values from sql func
db.Clauses(clause.OnConflict{
UpdateAll: true,
}).Create(&users)
// INSERT INTO "users" *** ON CONFLICT ("id") DO UPDATE SET "name"="excluded"."name", "age"="excluded"."age", ...;
// INSERT INTO `users` *** ON DUPLICATE KEY UPDATE `name`=VALUES(name),`age`=VALUES(age), ...; MySQL
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Also checkout FirstOrInit, FirstOrCreate on Advanced Query
还可以查看 高级查询 中的 FirstOrInit 和 FirstOrCreate。
Checkout Raw SQL and SQL Builder for more details
查看 原始 SQL 和 SQL 构建器 以获取更多详细信息。