Create 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, all INSERT 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 use default:(-), 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