Create Record
user := User{Name: "Jinzhu", Age: 18, Birthday: time.Now()}
result := db.Create(&user) // pass pointer of data to Create
user.ID // returns inserted data's primary key
result.Error // returns error
result.RowsAffected // returns inserted records count
We can also create multiple records with Create()
:
users := []*User{
{Name: "Jinzhu", Age: 18, Birthday: time.Now()},
{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
NOTE You cannot pass a struct to ‘create’, so you should pass a pointer to the data.
Create Record With Selected Fields
Create a record and assign a value to the fields specified.
db.Select("Name", "Age", "CreatedAt").Create(&user)
// INSERT INTO `users` (`name`,`age`,`created_at`) VALUES ("jinzhu", 18, "2020-07-04 11:05:21.775")
Create a record and ignore the values for fields passed to omit.
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")
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 split into multiple batches.
var users = []User{{Name: "jinzhu1"}, {Name: "jinzhu2"}, {Name: "jinzhu3"}}
db.Create(&users)
for _, user := range users {
user.ID // 1,2,3
}
You can specify batch size when creating with CreateInBatches
, e.g:
var users = []User{{Name: "jinzhu_1"}, ...., {Name: "jinzhu_10000"}}
// batch size 100
db.CreateInBatches(users, 100)
Batch Insert is also supported when using Upsert and Create With Associations
NOTE initialize GORM with
CreateBatchSize
option, allINSERT
will respect this option when creating record & associations
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)
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
func (u *User) BeforeCreate(tx *gorm.DB) (err error) {
u.UUID = uuid.New()
if u.Role == "admin" {
return errors.New("invalid role")
}
return
}
If you want to skip Hooks
methods, you can use the SkipHooks
session mode, for example:
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)
Create From Map
GORM supports create from map[string]interface{}
and []map[string]interface{}{}
, e.g:
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},
})
NOTE When creating from map, hooks won’t be invoked, associations won’t be saved and primary key values won’t be back filled
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:
// 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)"))
Advanced
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.
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` ...
You can skip saving associations with Select
, Omit
, for example:
db.Omit("CreditCard").Create(&user)
// skip all associations
db.Omit(clause.Associations).Create(&user)
Default Values
You can define default values for fields with tag default
, for example:
type User struct {
ID int64
Name string `gorm:"default:galeone"`
Age int64 `gorm:"default:18"`
}
Then the default value will be used when inserting into the database for zero-value fields
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:
type User struct {
gorm.Model
Name string
Age *int `gorm:"default:18"`
Active sql.NullBool `gorm:"default:true"`
}
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 usedefault:(-)
, for example:
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:(-);"`
}
NOTE SQLite doesn’t support some records are default values when batch insert.
See SQLite Insert stmt. For example:
type Pet struct {
Name string
gorm:"default:cat"
}
// In SQLite, this is not supported, so GORM will build a wrong SQL to raise error:
// INSERT INTO
pets
(name
) VALUES (“dog”),(DEFAULT) RETURNING name
db.Create(&[]Pet{{Name: “dog”}, {}})
A viable alternative is to assign default value to fields in the hook, e.g.
func (p *Pet) BeforeCreate(tx *gorm.DB) (err error) {
if p.Name == "" {
p.Name = "cat"
}
}
You can see more info in issues#6335
When using virtual/generated value, you might need to disable its creating/updating permission, check out Field-Level Permission
Upsert / On Conflict
GORM provides compatible Upsert support for different databases
import "gorm.io/gorm/clause"
// Do nothing on conflict
db.Clauses(clause.OnConflict{DoNothing: true}).Create(&user)
// 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
// 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));
// 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
// 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
Also checkout FirstOrInit
, FirstOrCreate
on Advanced Query
Checkout Raw SQL and SQL Builder for more details