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.