GORM

The fantastic ORM library for Golang, aims to be developer friendly.

Overview

Full-Featured ORM (almost)
Chainable API
Auto Migrations
Relations (Has One, Has Many, Belongs To, Many To Many, Polymorphism)
Callbacks (Before/After Create/Save/Update/Delete/Find)
Preloading (eager loading)
Transactions
Embed Anonymous Struct
Soft Deletes
Customizable Logger
Iteration Support via Rows
Every feature comes with tests
Developer Friendly

Getting Started

Install

go get -u github.com/jinzhu/gorm

Define Models (Structs)

type User struct {
	ID           int
	Birthday     time.Time
	Age          int
	Name         string  `sql:"size:255"` // Default size for string is 255, you could reset it with this tag
	Num          int     `sql:"AUTO_INCREMENT"`
	CreatedAt    time.Time
	UpdatedAt    time.Time
	DeletedAt    *time.Time

	Emails            []Email         // One-To-Many relationship (has many)
	BillingAddress    Address         // One-To-One relationship (has one)
	BillingAddressID  sql.NullInt64   // Foreign key of BillingAddress
	ShippingAddress   Address         // One-To-One relationship (has one)
	ShippingAddressID int             // Foreign key of ShippingAddress
	IgnoreMe          int `sql:"-"`   // Ignore this field
	Languages         []Language `gorm:"many2many:user_languages;"` // Many-To-Many relationship, 'user_languages' is join table
}

type Email struct {
	ID      int
	UserID  int     `sql:"index"` // Foreign key (belongs to), tag `index` will create index for this field when using AutoMigrate
	Email   string  `sql:"type:varchar(100);unique_index"` // Set field's sql type, tag `unique_index` will create unique index
	Subscribed bool
}

type Address struct {
	ID       int
	Address1 string         `sql:"not null;unique"` // Set field as not nullable and unique
	Address2 string         `sql:"type:varchar(100);unique"`
	Post     sql.NullString `sql:"not null"`
}

type Language struct {
	ID   int
	Name string `sql:"index:idx_name_code"` // Create index with name, and will create combined index if find other fields defined same name
	Code string `sql:"index:idx_name_code"` // `unique_index` also works
}

Conventions

Table name is the plural of struct name's snake case, you can disable pluralization with db.SingularTable(true), or Specifying The Table Name For A Struct Permanently With TableName

type User struct{} // struct User's database table name is "users" by default, will be "user" if you disabled pluralisation

Column name is the snake case of field's name
Use ID field as primary key
Use CreatedAt to store record's created time if field exists
Use UpdatedAt to store record's updated time if field exists
Use DeletedAt to store record's deleted time if field exists Soft Delete
Gorm provide a default model struct, you could embed it in your struct

type Model struct {
	ID        uint `gorm:"primary_key"`
	CreatedAt time.Time
	UpdatedAt time.Time
	DeletedAt *time.Time
}

type User struct {
	gorm.Model
	Name string
}

Initialize Database

import (
	"github.com/jinzhu/gorm"
	_ "github.com/lib/pq"
	_ "github.com/go-sql-driver/mysql"
	_ "github.com/mattn/go-sqlite3"
)

db, err := gorm.Open("postgres", "user=gorm dbname=gorm sslmode=disable")
// db, err := gorm.Open("foundation", "dbname=gorm") // FoundationDB.
// db, err := gorm.Open("mysql", "user:password@/dbname?charset=utf8&parseTime=True&loc=Local")
// db, err := gorm.Open("sqlite3", "/tmp/gorm.db")

// You can also use an existing database connection handle
// dbSql, _ := sql.Open("postgres", "user=gorm dbname=gorm sslmode=disable")
// db, _ := gorm.Open("postgres", dbSql)

// Get database connection handle [*sql.DB](http://golang.org/pkg/database/sql/#DB)
db.DB()

// Then you could invoke `*sql.DB`'s functions with it
db.DB().Ping()
db.DB().SetMaxIdleConns(10)
db.DB().SetMaxOpenConns(100)

// Disable table name's pluralization
db.SingularTable(true)

Migration

// Create table
db.CreateTable(&User{})

// Drop table
db.DropTable(&User{})

// Automating Migration
db.AutoMigrate(&User{})
db.AutoMigrate(&User{}, &Product{}, &Order{})
// Feel free to change your struct, AutoMigrate will keep your database up-to-date.
// AutoMigrate will ONLY add *new columns* and *new indexes*,
// WON'T update current column's type or delete unused columns, to protect your data.
// If the table is not existing, AutoMigrate will create the table automatically.

Basic CRUD

Create Record

user := User{Name: "Jinzhu", Age: 18, Birthday: time.Now()}

db.NewRecord(user) // => returns `true` if primary key is blank

db.Create(&user)

db.NewRecord(user) // => return `false` after `user` created

// Associations will be inserted automatically when save the record
user := User{
	Name:            "jinzhu",
	BillingAddress:  Address{Address1: "Billing Address - Address 1"},
	ShippingAddress: Address{Address1: "Shipping Address - Address 1"},
	Emails:          []Email{{Email: "jinzhu@example.com"}, {Email: "jinzhu-2@example@example.com"}},
	Languages:       []Language{{Name: "ZH"}, {Name: "EN"}},
}

db.Create(&user)
//// BEGIN TRANSACTION;
//// INSERT INTO "addresses" (address1) VALUES ("Billing Address - Address 1");
//// INSERT INTO "addresses" (address1) VALUES ("Shipping Address - Address 1");
//// INSERT INTO "users" (name,billing_address_id,shipping_address_id) VALUES ("jinzhu", 1, 2);
//// INSERT INTO "emails" (user_id,email) VALUES (111, "jinzhu@example.com");
//// INSERT INTO "emails" (user_id,email) VALUES (111, "jinzhu-2@example.com");
//// INSERT INTO "languages" ("name") VALUES ('ZH');
//// INSERT INTO user_languages ("user_id","language_id") VALUES (111, 1);
//// INSERT INTO "languages" ("name") VALUES ('EN');
//// INSERT INTO user_languages ("user_id","language_id") VALUES (111, 2);
//// COMMIT;

Refer Associations for more details

Query

// Get the first record
db.First(&user)
//// SELECT * FROM users ORDER BY id LIMIT 1;

// Get the last record
db.Last(&user)
//// SELECT * FROM users ORDER BY id DESC LIMIT 1;

// Get all records
db.Find(&users)
//// SELECT * FROM users;

// Get record with primary key
db.First(&user, 10)
//// SELECT * FROM users WHERE id = 10;

Query With Where (Plain SQL)

// Get the first matched record
db.Where("name = ?", "jinzhu").First(&user)
//// SELECT * FROM users WHERE name = 'jinzhu' limit 1;

// Get all matched records
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)

Query With Where (Struct & Map)

// Struct
db.Where(&User{Name: "jinzhu", Age: 20}).First(&user)
//// SELECT * FROM users WHERE name = "jinzhu" AND age = 20 LIMIT 1;

// Map
db.Where(map[string]interface{}{"name": "jinzhu", "age": 20}).Find(&users)
//// SELECT * FROM users WHERE name = "jinzhu" AND age = 20;

// Slice of primary keys
db.Where([]int64{20, 21, 22}).Find(&users)
//// SELECT * FROM users WHERE id IN (20, 21, 22);

Query With Not

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";

Query With Inline Condition

// Get by primary key
db.First(&user, 23)
//// SELECT * FROM users WHERE id = 23 LIMIT 1;

// Plain 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;

Query With Or

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)

Query Chains

Gorm has a chainable API, you could use it like this

db.Where("name <> ?","jinzhu").Where("age >= ? and role <> ?",20,"admin").Find(&users)
//// SELECT * FROM users WHERE name <> 'jinzhu' AND age >= 20 AND role <> 'admin';

db.Where("role = ?", "admin").Or("role = ?", "super_admin").Not("name = ?", "jinzhu").Find(&users)

Preloading (Eager loading)

db.Preload("Orders").Find(&users)
//// SELECT * FROM users;
//// SELECT * FROM orders WHERE user_id IN (1,2,3,4);

db.Preload("Orders", "state NOT IN (?)", "cancelled").Find(&users)
//// SELECT * FROM users;
//// SELECT * FROM orders WHERE user_id IN (1,2,3,4) AND state NOT IN ('cancelled');

db.Where("state = ?", "active").Preload("Orders", "state NOT IN (?)", "cancelled").Find(&users)
//// SELECT * FROM users WHERE state = 'active';
//// SELECT * FROM orders WHERE user_id IN (1,2) AND state NOT IN ('cancelled');

db.Preload("Orders").Preload("Profile").Preload("Role").Find(&users)
//// SELECT * FROM users;
//// SELECT * FROM orders WHERE user_id IN (1,2,3,4); // has many
//// SELECT * FROM profiles WHERE user_id IN (1,2,3,4); // has one
//// SELECT * FROM roles WHERE id IN (4,5,6); // belongs to

Nested Preloading

db.Preload("Orders.OrderItems").Find(&users)
db.Preload("Orders", "state = ?", "paid").Preload("Orders.OrderItems").Find(&users)

Update

// Update an existing struct
db.First(&user)
user.Name = "jinzhu 2"
user.Age = 100
db.Save(&user)
//// UPDATE users SET name='jinzhu 2', age=100, updated_at = '2013-11-17 21:34:10' WHERE id=111;

db.Where("active = ?", true).Save(&user)
//// UPDATE users SET name='jinzhu 2', age=100, updated_at = '2013-11-17 21:34:10' WHERE id=111 AND active = true;

// Update an attribute if it is changed
db.Model(&user).Update("name", "hello")
//// UPDATE users SET name='hello', updated_at = '2013-11-17 21:34:10' WHERE id=111;

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;

db.First(&user, 111).Update("name", "hello")
//// SELECT * FROM users LIMIT 1;
//// UPDATE users SET name='hello', updated_at = '2013-11-17 21:34:10' WHERE id=111;

// Update multiple attributes if they are changed
db.Model(&user).Updates(map[string]interface{}{"name": "hello", "age": 18, "actived": false})

// Update multiple attributes if they are changed (update with struct only works with none zero values)
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;

Update Without Callbacks

By default, update will call BeforeUpdate, AfterUpdate callbacks, if you want to update w/o callbacks and w/o saving associations:

db.Model(&user).UpdateColumn("name", "hello")
//// UPDATE users SET name='hello' WHERE id = 111;

// Update with struct only works with none zero values, or use map[string]interface{}
db.Model(&user).UpdateColumns(User{Name: "hello", Age: 18})
//// UPDATE users SET name='hello', age=18 WHERE id = 111;

Batch Updates

db.Table("users").Where("id = ?", 10).Updates(map[string]interface{}{"name": "hello", "age": 18})
//// UPDATE users SET name='hello', age=18 WHERE id = 10;

// Update with struct only works with none zero values, or use map[string]interface{}
db.Model(User{}).Updates(User{Name: "hello", Age: 18})
//// UPDATE users SET name='hello', age=18;

// Callbacks won't run when do batch updates

// Use `RowsAffected` to get the count of affected records
db.Model(User{}).Updates(User{Name: "hello", Age: 18}).RowsAffected

Update with SQL Expression

DB.Model(&product).Update("price", gorm.Expr("price * ? + ?", 2, 100))
//// UPDATE "products" SET "code" = 'L1212', "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 "code" = 'L1212', "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

// Delete an existing record
db.Delete(&email)
//// DELETE from emails where id=10;

Batch Delete

db.Where("email LIKE ?", "%jinzhu%").Delete(Email{})
//// DELETE from emails where email LIKE "%jinhu%";

Soft Delete

If struct has DeletedAt field, it will get soft delete ability automatically! Then it won't be deleted from database permanently when call Delete.

db.Delete(&user)
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE id = 111;

// Batch Delete
db.Where("age = ?", 20).Delete(&User{})
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE age = 20;

// Soft deleted records will be ignored when query them
db.Where("age = 20").Find(&user)
//// SELECT * FROM users WHERE age = 20 AND (deleted_at IS NULL OR deleted_at <= '0001-01-02');

// Find soft deleted records with Unscoped
db.Unscoped().Where("age = 20").Find(&users)
//// SELECT * FROM users WHERE age = 20;

// Delete record permanently with Unscoped
db.Unscoped().Delete(&order)
//// DELETE FROM orders WHERE id=10;

Associations

Has One

// User has one address
db.Model(&user).Related(&address)
//// SELECT * FROM addresses WHERE id = 123; // 123 is user's foreign key AddressId

// Specify the foreign key
db.Model(&user).Related(&address1, "BillingAddressId")
//// SELECT * FROM addresses WHERE id = 123; // 123 is user's foreign key BillingAddressId

Belongs To

// Email belongs to user
db.Model(&email).Related(&user)
//// SELECT * FROM users WHERE id = 111; // 111 is email's foreign key UserId

// Specify the foreign key
db.Model(&email).Related(&user, "ProfileId")
//// SELECT * FROM users WHERE id = 111; // 111 is email's foreign key ProfileId

Has Many

// User has many emails
db.Model(&user).Related(&emails)
//// SELECT * FROM emails WHERE user_id = 111;
// user_id is the foreign key, 111 is user's primary key's value

// Specify the foreign key
db.Model(&user).Related(&emails, "ProfileId")
//// SELECT * FROM emails WHERE profile_id = 111;
// profile_id is the foreign key, 111 is user's primary key's value

Many To Many

// User has many languages and belongs to many languages
db.Model(&user).Related(&languages, "Languages")
//// SELECT * FROM "languages" INNER JOIN "user_languages" ON "user_languages"."language_id" = "languages"."id" WHERE "user_languages"."user_id" = 111
// `Languages` is user's column name, this column's tag defined join table like this `gorm:"many2many:user_languages;"`

There is also a mode used to handle many to many relations easily

// Query
db.Model(&user).Association("Languages").Find(&languages)
// same as `db.Model(&user).Related(&languages, "Languages")`

db.Where("name = ?", "ZH").First(&languageZH)
db.Where("name = ?", "EN").First(&languageEN)

// Append
db.Model(&user).Association("Languages").Append([]Language{languageZH, languageEN})
db.Model(&user).Association("Languages").Append([]Language{{Name: "DE"}})
db.Model(&user).Association("Languages").Append(Language{Name: "DE"})

// Delete
db.Model(&user).Association("Languages").Delete([]Language{languageZH, languageEN})
db.Model(&user).Association("Languages").Delete(languageZH, languageEN)

// Replace
db.Model(&user).Association("Languages").Replace([]Language{languageZH, languageEN})
db.Model(&user).Association("Languages").Replace(Language{Name: "DE"}, languageEN)

// Count
db.Model(&user).Association("Languages").Count()
// Return the count of languages the user has

// Clear
db.Model(&user).Association("Languages").Clear()
// Remove all relations between the user and languages

Polymorphism

Supports polymorphic has-many and has-one associations.

  type Cat struct {
    Id    int
    Name  string
    Toy   Toy `gorm:"polymorphic:Owner;"`
  }

  type Dog struct {
    Id   int
    Name string
    Toy  Toy `gorm:"polymorphic:Owner;"`
  }

  type Toy struct {
    Id        int
    Name      string
    OwnerId   int
    OwnerType string
  }

Note: polymorphic belongs-to and many-to-many are explicitly NOT supported, and will throw errors.

Advanced Usage

FirstOrInit

Get the first matched record, or initialize a record with search conditions.

// Unfound
db.FirstOrInit(&user, User{Name: "non_existing"})
//// user -> User{Name: "non_existing"}

// Found
db.Where(User{Name: "Jinzhu"}).FirstOrInit(&user)
//// user -> User{Id: 111, Name: "Jinzhu", Age: 20}
db.FirstOrInit(&user, map[string]interface{}{"name": "jinzhu"})
//// user -> User{Id: 111, Name: "Jinzhu", Age: 20}

Attrs

Ignore some values when searching, but use them to initialize the struct if record is not found.

// Unfound
db.Where(User{Name: "non_existing"}).Attrs(User{Age: 20}).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = 'non_existing';
//// user -> User{Name: "non_existing", Age: 20}

db.Where(User{Name: "noexisting_user"}).Attrs("age", 20).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = 'non_existing';
//// user -> User{Name: "non_existing", Age: 20}

// Found
db.Where(User{Name: "Jinzhu"}).Attrs(User{Age: 30}).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = jinzhu';
//// user -> User{Id: 111, Name: "Jinzhu", Age: 20}

Assign

Ignore some values when searching, but assign it to the result regardless it is found or not.

// Unfound
db.Where(User{Name: "non_existing"}).Assign(User{Age: 20}).FirstOrInit(&user)
//// user -> User{Name: "non_existing", Age: 20}

// Found
db.Where(User{Name: "Jinzhu"}).Assign(User{Age: 30}).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = jinzhu';
//// user -> User{Id: 111, Name: "Jinzhu", Age: 30}

FirstOrCreate

Get the first matched record, or create with search conditions.

// Unfound
db.FirstOrCreate(&user, User{Name: "non_existing"})
//// INSERT INTO "users" (name) VALUES ("non_existing");
//// user -> User{Id: 112, Name: "non_existing"}

// Found
db.Where(User{Name: "Jinzhu"}).FirstOrCreate(&user)
//// user -> User{Id: 111, Name: "Jinzhu"}

Attrs

Ignore some values when searching, but use them to create the struct if record is not found. like FirstOrInit

// Unfound
db.Where(User{Name: "non_existing"}).Attrs(User{Age: 20}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE name = 'non_existing';
//// INSERT INTO "users" (name, age) VALUES ("non_existing", 20);
//// user -> User{Id: 112, Name: "non_existing", Age: 20}

// Found
db.Where(User{Name: "jinzhu"}).Attrs(User{Age: 30}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE name = 'jinzhu';
//// user -> User{Id: 111, Name: "jinzhu", Age: 20}

Assign

Ignore some values when searching, but assign it to the record regardless it is found or not, then save back to database. like FirstOrInit

// Unfound
db.Where(User{Name: "non_existing"}).Assign(User{Age: 20}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE name = 'non_existing';
//// INSERT INTO "users" (name, age) VALUES ("non_existing", 20);
//// user -> User{Id: 112, Name: "non_existing", Age: 20}

// Found
db.Where(User{Name: "jinzhu"}).Assign(User{Age: 30}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE name = 'jinzhu';
//// UPDATE users SET age=30 WHERE id = 111;
//// user -> User{Id: 111, Name: "jinzhu", Age: 30}

Select

db.Select("name, age").Find(&users)
//// SELECT name, age FROM users;

db.Select([]string{"name", "age"}).Find(&users)
//// SELECT name, age FROM users;

db.Table("users").Select("COALESCE(age,?)", 42).Rows()
//// SELECT COALESCE(age,'42') FROM users;

Order

db.Order("age desc, name").Find(&users)
//// SELECT * FROM users ORDER BY age desc, name;

// Multiple orders
db.Order("age desc").Order("name").Find(&users)
//// SELECT * FROM users ORDER BY age desc, name;

// ReOrder
db.Order("age desc").Find(&users1).Order("age", true).Find(&users2)
//// SELECT * FROM users ORDER BY age desc; (users1)
//// SELECT * FROM users ORDER BY age; (users2)

Limit

db.Limit(3).Find(&users)
//// SELECT * FROM users LIMIT 3;

// Cancel limit condition with -1
db.Limit(10).Find(&users1).Limit(-1).Find(&users2)
//// SELECT * FROM users LIMIT 10; (users1)
//// SELECT * FROM users; (users2)

Offset

db.Offset(3).Find(&users)
//// SELECT * FROM users OFFSET 3;

// Cancel offset condition with -1
db.Offset(10).Find(&users1).Offset(-1).Find(&users2)
//// SELECT * FROM users OFFSET 10; (users1)
//// SELECT * FROM users; (users2)

Count

db.Where("name = ?", "jinzhu").Or("name = ?", "jinzhu 2").Find(&users).Count(&count)
//// SELECT * from USERS WHERE name = 'jinzhu' OR name = 'jinzhu 2'; (users)
//// SELECT count(*) FROM users WHERE name = 'jinzhu' OR name = 'jinzhu 2'; (count)

db.Model(User{}).Where("name = ?", "jinzhu").Count(&count)
//// SELECT count(*) FROM users WHERE name = 'jinzhu'; (count)

db.Table("deleted_users").Count(&count)
//// SELECT count(*) FROM deleted_users;

Pluck

Get selected attributes as map

var ages []int64
db.Find(&users).Pluck("age", &ages)

var names []string
db.Model(&User{}).Pluck("name", &names)

db.Table("deleted_users").Pluck("name", &names)

// Requesting more than one column? Do it like this:
db.Select("name, age").Find(&users)

Raw SQL

db.Exec("DROP TABLE users;")
db.Exec("UPDATE orders SET shipped_at=? WHERE id IN (?)", time.Now, []int64{11,22,33})

Row & Rows

It is even possible to get query result as *sql.Row or *sql.Rows

row := db.Table("users").Where("name = ?", "jinzhu").Select("name, age").Row() // (*sql.Row)
row.Scan(&name, &age)

rows, err := db.Model(User{}).Where("name = ?", "jinzhu").Select("name, age, email").Rows() // (*sql.Rows, error)
defer rows.Close()
for rows.Next() {
	...
	rows.Scan(&name, &age, &email)
	...
}

// Raw SQL
rows, err := db.Raw("select name, age, email from users where name = ?", "jinzhu").Rows() // (*sql.Rows, error)
defer rows.Close()
for rows.Next() {
	...
	rows.Scan(&name, &age, &email)
	...
}

Scan

Scan results into another struct.

type Result struct {
	Name string
	Age  int
}

var result Result
db.Table("users").Select("name, age").Where("name = ?", 3).Scan(&result)

// Raw SQL
db.Raw("SELECT name, age FROM users WHERE name = ?", 3).Scan(&result)

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)

Joins

rows, err := db.Table("users").Select("users.name, emails.email").Joins("left join emails on emails.user_id = users.id").Rows()
for rows.Next() {
	...
}

db.Table("users").Select("users.name, emails.email").Joins("left join emails on emails.user_id = users.id").Scan(&results)

// find a user by email address
db.Joins("inner join emails on emails.user_id = users.id").Where("emails.email = ?", "x@example.org").Find(&user)

// find all email addresses for a user
db.Joins("left join users on users.id = emails.user_id").Where("users.name = ?", "jinzhu").Find(&emails)

Transactions

To perform a set of operations within a transaction, the general flow is as below. The database handle returned from db.Begin() should be used for all operations within the transaction. (Note that all individual save and delete operations are run in a transaction by default.)

// begin
tx := db.Begin()

// do some database operations (use 'tx' from this point, not 'db')
tx.Create(...)
...

// rollback in case of error
tx.Rollback()

// Or commit if all is ok
tx.Commit()

A Specific Example

func CreateAnimals(db *gorm.DB) err {
  tx := db.Begin()
  // Note the use of tx as the database handle once you are within a transaction

  if err := tx.Create(&Animal{Name: "Giraffe"}).Error; err != nil {
     tx.Rollback()
     return err
  }

  if err := tx.Create(&Animal{Name: "Lion"}).Error; err != nil {
     tx.Rollback()
     return err
  }

  tx.Commit()
  return nil
}

Scopes

func AmountGreaterThan1000(db *gorm.DB) *gorm.DB {
	return db.Where("amount > ?", 1000)
}

func PaidWithCreditCard(db *gorm.DB) *gorm.DB {
	return db.Where("pay_mode_sign = ?", "C")
}

func PaidWithCod(db *gorm.DB) *gorm.DB {
	return db.Where("pay_mode_sign = ?", "C")
}

func OrderStatus(status []string) func (db *gorm.DB) *gorm.DB {
	return func (db *gorm.DB) *gorm.DB {
		return db.Scopes(AmountGreaterThan1000).Where("status in (?)", status)
	}
}

db.Scopes(AmountGreaterThan1000, PaidWithCreditCard).Find(&orders)
// Find all credit card orders and amount greater than 1000

db.Scopes(AmountGreaterThan1000, PaidWithCod).Find(&orders)
// Find all COD orders and amount greater than 1000

db.Scopes(OrderStatus([]string{"paid", "shipped"})).Find(&orders)
// Find all paid, shipped orders

Callbacks

Callbacks are methods defined on the pointer of struct. If any callback returns an error, gorm will stop future operations and rollback all changes.

Here is the list of all available callbacks: (listed in the same order in which they will get called during the respective operations)

Creating An Object

BeforeSave
BeforeCreate
// save before associations
// save self
// save after associations
AfterCreate
AfterSave

Updating An Object

BeforeSave
BeforeUpdate
// save before associations
// save self
// save after associations
AfterUpdate
AfterSave

Destroying An Object

BeforeDelete
// delete self
AfterDelete

After Find

// load data from database
AfterFind

Example

func (u *User) BeforeUpdate() (err error) {
	if u.readonly() {
		err = errors.New("read only user")
	}
	return
}

// Rollback the insertion if user's id greater than 1000
func (u *User) AfterCreate() (err error) {
	if (u.Id > 1000) {
		err = errors.New("user id is already greater than 1000")
	}
	return
}

As you know, save/delete operations in gorm are running in a transaction, This is means if changes made in the transaction is not visiable unless it is commited, So if you want to use those changes in your callbacks, you need to run SQL in same transaction. Fortunately, gorm support pass transaction to callbacks as you needed, you could do it like this:

func (u *User) AfterCreate(tx *gorm.DB) (err error) {
	tx.Model(u).Update("role", "admin")
	return
}

Specifying The Table Name

// Create `deleted_users` table with struct User's definition
db.Table("deleted_users").CreateTable(&User{})

var deleted_users []User
db.Table("deleted_users").Find(&deleted_users)
//// SELECT * FROM deleted_users;

db.Table("deleted_users").Where("name = ?", "jinzhu").Delete()
//// DELETE FROM deleted_users WHERE name = 'jinzhu';

Specifying The Table Name For A Struct Permanently with TableName

type Cart struct {
}

func (c Cart) TableName() string {
	return "shopping_cart"
}

func (u User) TableName() string {
	if u.Role == "admin" {
		return "admin_users"
	} else {
		return "users"
	}
}

Error Handling

query := db.Where("name = ?", "jinzhu").First(&user)
query := db.First(&user).Limit(10).Find(&users)
// query.Error will return the last happened error

// So you could do error handing in your application like this:
if err := db.Where("name = ?", "jinzhu").First(&user).Error; err != nil {
	// error handling...
}

// RecordNotFound
// If no record found when you query data, gorm will return RecordNotFound error, you could check it like this:
db.Where("name = ?", "hello world").First(&User{}).Error == gorm.RecordNotFound
// Or use the shortcut method
db.Where("name = ?", "hello world").First(&user).RecordNotFound()

if db.Model(&user).Related(&credit_card).RecordNotFound() {
	// no credit card found error handling
}

Logger

Gorm has built-in logger support

// Enable Logger
db.LogMode(true)

// Diable Logger
db.LogMode(false)

// Debug a single operation
db.Debug().Where("name = ?", "jinzhu").First(&User{})

Customize Logger

// Refer gorm's default logger for how to: https://github.com/jinzhu/gorm/blob/master/logger.go#files
db.SetLogger(gorm.Logger{revel.TRACE})
db.SetLogger(log.New(os.Stdout, "\r\n", 0))

Existing Schema

If you have an existing database schema, and the primary key field is different from id, you can add a tag to the field structure to specify that this field is a primary key.

type Animal struct {
	AnimalId     int64 `gorm:"primary_key"`
	Birthday     time.Time `sql:"DEFAULT:current_timestamp"`
	Name         string `sql:"default:'galeone'"`
	Age          int64
}

If your column names differ from the struct fields, you can specify them like this:

type Animal struct {
	AnimalId    int64     `gorm:"column:beast_id;primary_key"`
	Birthday    time.Time `gorm:"column:day_of_the_beast"`
	Age         int64     `gorm:"column:age_of_the_beast"`
}

Composite Primary Key

type Product struct {
	ID           string `gorm:"primary_key"`
	LanguageCode string `gorm:"primary_key"`
}

Database Indexes & Foreign Key

// Add foreign key
// 1st param : foreignkey field
// 2nd param : destination table(id)
// 3rd param : ONDELETE
// 4th param : ONUPDATE
db.Model(&User{}).AddForeignKey("role_id", "roles", "CASCADE", "RESTRICT")

// Add index
db.Model(&User{}).AddIndex("idx_user_name", "name")

// Multiple column index
db.Model(&User{}).AddIndex("idx_user_name_age", "name", "age")

// Add unique index
db.Model(&User{}).AddUniqueIndex("idx_user_name", "name")

// Multiple column unique index
db.Model(&User{}).AddUniqueIndex("idx_user_name_age", "name", "age")

// Remove index
db.Model(&User{}).RemoveIndex("idx_user_name")

Default values

If you have defined a default value in the sql tag (see the struct Animal above) the generated create/update SQl will ignore these fields if is set blank data.

Eg.

db.Create(&Animal{Age: 99, Name: ""})

The generated query will be:

INSERT INTO animals("age") values('99');

The same thing occurs in update statements.

More examples with query chain

db.First(&first_article).Count(&total_count).Limit(10).Find(&first_page_articles).Offset(10).Find(&second_page_articles)
//// SELECT * FROM articles LIMIT 1; (first_article)
//// SELECT count(*) FROM articles; (total_count)
//// SELECT * FROM articles LIMIT 10; (first_page_articles)
//// SELECT * FROM articles LIMIT 10 OFFSET 10; (second_page_articles)


db.Where("created_at > ?", "2013-10-10").Find(&cancelled_orders, "state = ?", "cancelled").Find(&shipped_orders, "state = ?", "shipped")
//// SELECT * FROM orders WHERE created_at > '2013/10/10' AND state = 'cancelled'; (cancelled_orders)
//// SELECT * FROM orders WHERE created_at > '2013/10/10' AND state = 'shipped'; (shipped_orders)


// Use variables to keep query chain
todays_orders := db.Where("created_at > ?", "2013-10-29")
cancelled_orders := todays_orders.Where("state = ?", "cancelled")
shipped_orders := todays_orders.Where("state = ?", "shipped")


// Search with shared conditions for different tables
db.Where("product_name = ?", "fancy_product").Find(&orders).Find(&shopping_carts)
//// SELECT * FROM orders WHERE product_name = 'fancy_product'; (orders)
//// SELECT * FROM carts WHERE product_name = 'fancy_product'; (shopping_carts)


// Search with shared conditions from different tables with specified table
db.Where("mail_type = ?", "TEXT").Find(&users1).Table("deleted_users").Find(&users2)
//// SELECT * FROM users WHERE mail_type = 'TEXT'; (users1)
//// SELECT * FROM deleted_users WHERE mail_type = 'TEXT'; (users2)


// FirstOrCreate example
db.Where("email = ?", "x@example.org").Attrs(User{RegisteredIp: "111.111.111.111"}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE email = 'x@example.org';
//// INSERT INTO "users" (email,registered_ip) VALUES ("x@example.org", "111.111.111.111")  // if record not found

TODO

db.Select("Languages", "Name").Update(&user) db.Omit("Languages").Update(&user)
Auto migrate indexes
Github Pages
AlertColumn, DropColumn
R/W Splitting, Validation

Author

jinzhu

License

Released under the MIT License.

Name		Name	Last commit message	Last commit date
Latest commit History 771 Commits
doc		doc
images		images
License		License
README.md		README.md
association.go		association.go
association_test.go		association_test.go
callback.go		callback.go
callback_create.go		callback_create.go
callback_delete.go		callback_delete.go
callback_query.go		callback_query.go
callback_shared.go		callback_shared.go
callback_test.go		callback_test.go
callback_update.go		callback_update.go
callbacks_test.go		callbacks_test.go
common_dialect.go		common_dialect.go
create_test.go		create_test.go
customize_column_test.go		customize_column_test.go
delete_test.go		delete_test.go
dialect.go		dialect.go
embedded_struct_test.go		embedded_struct_test.go
errors.go		errors.go
field.go		field.go
foundation.go		foundation.go
interface.go		interface.go
join_table_handler.go		join_table_handler.go
join_table_test.go		join_table_test.go
logger.go		logger.go
main.go		main.go
main_private.go		main_private.go
main_test.go		main_test.go
migration_test.go		migration_test.go
model.go		model.go
model_struct.go		model_struct.go
mssql.go		mssql.go
multi_primary_keys_test.go		multi_primary_keys_test.go
mysql.go		mysql.go
pointer_test.go		pointer_test.go
polymorphic_test.go		polymorphic_test.go
postgres.go		postgres.go
preload.go		preload.go
preload_test.go		preload_test.go
query_test.go		query_test.go
scope.go		scope.go
scope_private.go		scope_private.go
scope_test.go		scope_test.go
search.go		search.go
search_test.go		search_test.go
slice_test.go		slice_test.go
sqlite3.go		sqlite3.go
structs_test.go		structs_test.go
test_all.sh		test_all.sh
update_test.go		update_test.go
utils.go		utils.go
utils_private.go		utils_private.go

License

unravelin/gorm

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GORM

Overview

Getting Started

Install

Define Models (Structs)

Conventions

Initialize Database

Migration

Basic CRUD

Create Record

Query

Query With Where (Plain SQL)

Query With Where (Struct & Map)

Query With Not

Query With Inline Condition

Query With Or

Query Chains

Preloading (Eager loading)

Nested Preloading

Update

Update Without Callbacks

Batch Updates

Update with SQL Expression

Delete

Batch Delete

Soft Delete

Associations

Has One

Belongs To

Has Many

Many To Many

Polymorphism

Advanced Usage

FirstOrInit

Attrs

Assign

FirstOrCreate

Attrs

Assign

Select

Order

Limit

Offset

Count

Pluck

Raw SQL

Row & Rows

Scan

Group & Having

Joins

Transactions

A Specific Example

Scopes

Callbacks

Creating An Object

Updating An Object

Destroying An Object

After Find

Example

Specifying The Table Name

Specifying The Table Name For A Struct Permanently with TableName

Error Handling

Logger

Customize Logger

Existing Schema

Composite Primary Key

Database Indexes & Foreign Key

Default values

More examples with query chain

TODO

Author

License

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Resources

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