3cfa19b761 | ||
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dialect | ||
images | ||
Guardfile | ||
README.md | ||
chain.go | ||
do.go | ||
errors.go | ||
field.go | ||
gorm_test.go | ||
logger.go | ||
main.go | ||
model.go | ||
search.go | ||
search_test.go | ||
sql.go | ||
utils.go |
README.md
GORM
Yet Another ORM library for Go, aims for developer friendly
Overview
- Chainable API
- Relations
- Callbacks (before/after create/save/update/delete)
- Soft Delete
- Auto Migration
- Transaction
- Logger Support
- Bind struct with tag
- Every feature comes with tests
- Convention Over Configuration
- Developer Friendly
Conventions
// TableName: `users`, gorm will pluralize struct's name as table name, you are possible to turn off this feature
type User struct {
Id int64 // Id: Database Primary key
Birthday time.Time
Age int64
Name string `sql:"size:255"` // set this field's length in database
CreatedAt time.Time // Time of record is created, will be insert automatically
UpdatedAt time.Time // Time of record is updated, will be updated automatically
DeletedAt time.Time // Time of record is deleted, refer `Soft Delete` for more
Emails []Email // Embedded structs
BillingAddress Address // Embedded struct
BillingAddressId sql.NullInt64 // Embedded struct BillingAddress's foreign key
ShippingAddress Address // Embedded struct
ShippingAddressId int64 // Embedded struct ShippingAddress's foreign key
IgnoreMe int64 `sql:"-"` // Ignore this field
}
type Email struct { // TableName: `emails`
Id int64
UserId int64 // Foreign key for above embedded structs
Email string `sql:"type:varchar(100);"` // Set this field's type in database
Subscribed bool
}
type Address struct { // TableName: `addresses`
Id int64
Address1 string `sql:"not null;unique"` // Set this field as not null and unique in database
Address2 string `sql:"type:varchar(100);unique"`
Post sql.NullString `sql:not null`
// FYI, "NOT NULL" will only works well with NullXXX Scanner, because golang will initalize a default value for most type...
}
Opening a Database
import "github.com/jinzhu/gorm"
import _ "github.com/lib/pq"
// import _ "github.com/go-sql-driver/mysql"
// import _ "github.com/mattn/go-sqlite3"
db, err := Open("postgres", "user=gorm dbname=gorm sslmode=disable")
// db, err = Open("mysql", "gorm:gorm@/gorm?charset=utf8&parseTime=True")
// db, err = Open("sqlite3", "/tmp/gorm.db")
// Set the maximum idle database connections
db.SetPool(100)
// By default, table name is plural of struct type, you can use struct type as table name with:
db.SingularTable(true)
// Gorm is goroutines friendly, so you can create a global variable to keep the connection and use it everywhere in your project
// db.go
package db
var DB gorm.DB
func init() {
var err error
DB, err = gorm.Open("postgres", "user=gorm dbname=gorm sslmode=disable")
if err != nil {
panic(fmt.Sprintf("Got error when connect database, the error is '%v'", err))
}
}
// user.go
package user
import _ "db"
...
DB.Save(&User{Name: "xxx"})
...
Struct & Database Mapping
// Create table from struct
db.CreateTable(User{})
// Drop table
db.DropTable(User{})
Automating Migrations
Feel Free to update your struct, AutoMigrate will keep your database update to date.
FYI, AutoMigrate will only add new columns, won't change current column's type or delete unused columns, to make sure your data is safe
If table doesn't exist when AutoMigrate, gorm will run create table automatically.
(only postgres and mysql supported)
db.AutoMigrate(User{})
Create
user := User{Name: "jinzhu", Age: 18, Birthday: time.Now()}
db.Save(&user)
Create With SubStruct
Refer Query With Related for how to find associations
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"}},
}
db.Save(&user)
//// 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");
Query
// Get the first record
db.First(&user)
//// SELECT * FROM users ORDER BY id LIMIT 1;
// Search table `users` is guessed from struct's type
// 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 (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)
//// SELECT * FROM users WHERE name <> 'jinzhu';
// IN
db.Where("name in (?)", []string{"jinzhu", "jinzhu 2"}).Find(&users)
//// SELECT * FROM users WHERE name IN ('jinzhu', 'jinzhu 2');
// LIKE
db.Where("name LIKE ?", "%jin%").Find(&users)
//// SELECT * FROM users WHERE name LIKE "%jin%";
// Multiple Conditions
db.Where("name = ? and age >= ?", "jinzhu", "22").Find(&users)
//// SELECT * FROM users WHERE name = 'jinzhu' AND age >= 22;
Query With Where (Struct & Map)
// Search with struct
db.Where(&User{Name: "jinzhu", Age: 20}).First(&user)
//// SELECT * FROM users WHERE name = "jinzhu" AND age = 20 LIMIT 1;
// Search with map
db.Where(map[string]interface{}{"name": "jinzhu", "age": 20}).Find(&users)
//// SELECT * FROM users WHERE name = "jinzhu" AND age = 20;
// IN for primary Keys
db.Where([]int64{20, 21, 22}).Find(&users)
//// SELECT * FROM users WHERE id IN (20, 21, 22);
Query With Not
// Attribute Not Equal
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 for 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;
// SQL string
db.Not("name = ?", "jinzhu").First(&user)
//// SELECT * FROM users WHERE NOT(name = "jinzhu");
// Not with struct
db.Not(User{Name: "jinzhu"}).First(&user)
//// SELECT * FROM users WHERE name <> "jinzhu";
Query With Inline Condition
// Find with primary key
db.First(&user, 23)
//// SELECT * FROM users WHERE id = 23 LIMIT 1;
// SQL string
db.Find(&user, "name = ?", "jinzhu")
//// SELECT * FROM users WHERE name = "jinzhu";
// Multiple Conditions
db.Find(&users, "name <> ? and age > ?", "jinzhu", 20)
//// SELECT * FROM users WHERE name <> "jinzhu" AND age > 20;
// Inline search with struct
db.Find(&users, User{Age: 20})
//// SELECT * FROM users WHERE age = 20;
// Inline search with 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';
// Or With Struct
db.Where("name = 'jinzhu'").Or(User{Name: "jinzhu 2"}).Find(&users)
//// SELECT * FROM users WHERE name = 'jinzhu' OR name = 'jinzhu 2';
// Or With Map
db.Where("name = 'jinzhu'").Or(map[string]interface{}{"name": "jinzhu 2"}).Find(&users)
Query With Related
// Find user's emails with guessed foreign key
db.Model(&user).Related(&emails)
//// SELECT * FROM emails WHERE user_id = 111;
// Find user's billing address with specified foreign key 'BillingAddressId'
db.Model(&user).Related(&address1, "BillingAddressId")
//// SELECT * FROM addresses WHERE id = 123; // 123 is user's BillingAddressId
// Find user with guessed primary key value from email
db.Model(&email).Related(&user)
//// SELECT * FROM users WHERE id = 111; // 111 is email's UserId
Query Chains
Gorm has a chainable API, so you could query 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)
Update
Update an existing struct
user.Name = "jinzhu 2"
user.Age = 100
db.Save(&user)
//// UPDATE users SET name='jinzhu 2', age=100 WHERE id=111;
Update one attribute with Update
// Update existing user's name if it is changed
db.Model(&user).Update("name", "hello")
//// UPDATE users SET name='hello' WHERE id=111;
// Find out a user, and update the name if it is changed
db.First(&user, 111).Update("name", "hello")
//// SELECT * FROM users LIMIT 1;
//// UPDATE users SET name='hello' WHERE id=111;
// Update name with search condiation and specified table name
db.Table("users").Where(10).Update("name", "hello")
//// UPDATE users SET name='hello' WHERE id = 10;
Update multiple attributes with Updates
// Update user's name and age if they are changed
db.Model(&user).Updates(User{Name: "hello", Age: 18})
//// UPDATE users SET name='hello', age=18 WHERE id = 111;
// Updates with Map
db.Table("users").Where(10).Updates(map[string]interface{}{"name": "hello", "age": 18})
//// UPDATE users SET name='hello', age=18 WHERE id = 10;
// Updates with Struct
db.Model(User{}).Updates(User{Name: "hello", Age: 18})
//// UPDATE users SET name='hello', age=18;
Delete
Delete an existing struct
db.Delete(&email)
// DELETE from emails where id=10;
Batch Delete with search
db.Where("email LIKE ?", "%jinzhu%").Delete(Email{})
// DELETE from emails where email LIKE "%jinhu%";
Soft Delete
If a struct has DeletedAt field, it will get soft delete ability automatically!
For those don't have the filed, will be deleted from database permanently
db.Delete(&user)
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE id = 111;
// Delete with search condiation
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 search
db.Where("age = 20").Find(&user)
//// SELECT * FROM users WHERE age = 100 AND (deleted_at IS NULL AND 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;
FirstOrInit
Try to get the first record, if failed, will initialize the struct with search conditions.
(only support search conditions map and struct)
db.FirstOrInit(&user, User{Name: "non_existing"})
//// User{Name: "non_existing"}
db.Where(User{Name: "Jinzhu"}).FirstOrInit(&user)
//// User{Id: 111, Name: "Jinzhu", Age: 20}
db.FirstOrInit(&user, map[string]interface{}{"name": "jinzhu"})
//// User{Id: 111, Name: "Jinzhu", Age: 20}
FirstOrInit With Attrs
Ignore Attrs's arguments when search, but use them to initialize the struct if no record found.
db.Where(User{Name: "non_existing"}).Attrs(User{Age: 20}).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = 'non_existing';
//// User{Name: "non_existing", Age: 20}
// Or write it like this if has only one attribute
db.Where(User{Name: "noexisting_user"}).Attrs("age", 20).FirstOrInit(&user)
// If a record found, Attrs would be ignored
db.Where(User{Name: "Jinzhu"}).Attrs(User{Age: 30}).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = jinzhu';
//// User{Id: 111, Name: "Jinzhu", Age: 20}
FirstOrInit With Assign
Ignore Assign's arguments when search, but use them to fill the struct regardless record found or not
db.Where(User{Name: "non_existing"}).Assign(User{Age: 20}).FirstOrInit(&user)
//// User{Name: "non_existing", Age: 20}
db.Where(User{Name: "Jinzhu"}).Assign(User{Age: 30}).FirstOrInit(&user)
//// User{Id: 111, Name: "Jinzhu", Age: 30}
FirstOrCreate
Try to get the first record, if failed, will initialize the struct with search conditions and insert it to database
db.FirstOrCreate(&user, User{Name: "non_existing"})
//// User{Id: 112, Name: "non_existing"}
db.Where(User{Name: "Jinzhu"}).FirstOrCreate(&user)
//// User{Id: 111, Name: "Jinzhu"}
db.FirstOrCreate(&user, map[string]interface{}{"name": "jinzhu", "age": 30})
//// user -> User{Id: 111, Name: "jinzhu", Age: 20}
FirstOrCreate With Attrs
Ignore Attrs's arguments when search, but use them to initialize the struct if no record found.
db.Where(User{Name: "non_existing"}).Attrs(User{Age: 20}).FirstOrCreate(&user)
//// SELECT * FROM users WHERE name = 'non_existing';
//// User{Id: 112, Name: "non_existing", Age: 20}
db.Where(User{Name: "jinzhu"}).Attrs(User{Age: 30}).FirstOrCreate(&user)
//// User{Id: 111, Name: "jinzhu", Age: 20}
FirstOrCreate With Assign
Ignore Assign's arguments when search, but use them to fill the struct regardless record found or not, then save it back to database
db.Where(User{Name: "non_existing"}).Assign(User{Age: 20}).FirstOrCreate(&user)
//// user -> User{Id: 112, Name: "non_existing", Age: 20}
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{Id: 111, Name: "jinzhu", Age: 30}
Select
db.Select("name, age").Find(&users)
//// SELECT name, age 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;
// Remove limit 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;
// Remove offset 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)
// Set table name with Model
db.Model(User{}).Where("name = ?", "jinzhu").Count(&count)
//// SELECT count(*) FROM users WHERE name = 'jinzhu' OR name = 'jinzhu 2'; (count)
// Set table name with Table
db.Table("deleted_users").Count(&count)
//// SELECT count(*) FROM deleted_users;
Pluck
Get struct's attribute as map
var ages []int64
db.Find(&users).Pluck("age", &ages)
// Set Table With Model
var names []string
db.Model(&User{}).Pluck("name", &names)
//// SELECT name FROM users;
// Set Table With Table
db.Table("deleted_users").Pluck("name", &names)
//// SELECT name FROM deleted_users;
// Pluck more than one column? Do it like this
db.Select("name, age").Find(&users)
Callbacks
Callbacks are functions defined to struct's pointer, they would be run when save a struct to database. If any callback return error, gorm will stop future operations and do rollback
Below callbacks are supported now:
BeforeCreate
, AfterCreate
BeforeUpdate
, AfterUpdate
BeforeSave
, AfterSave
BeforeDelete
, AfterDelete
For example:
func (u *User) BeforeUpdate() (err error) {
if u.readonly() {
err = errors.New("Read Only User!")
}
return
}
// Rollback the insertion if have more than 1000 users
func (u *User) AfterCreate() (err error) {
if (u.Id > 1000) { // Just as example, don't use Id to count users!
err = errors.New("Only 1000 users allowed!")
}
return
}
Specify Table Name
// Create `deleted_users` table with User's fields
db.Table("deleted_users").CreateTable(&User{})
// Search from table `deleted_users`, and fill results to []User
var deleted_users []User
db.Table("deleted_users").Find(&deleted_users)
//// SELECT * FROM deleted_users;
// Delete results from table `deleted_users` with search conditions
db.Table("deleted_users").Where("name = ?", "jinzhu").Delete()
//// DELETE FROM deleted_users WHERE name = 'jinzhu';
Specify Table Name for Struct permanently with TableName method
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"
}
}
Transaction
tx := db.Begin()
user := User{Name: "transcation"}
tx.Save(&u)
tx.Update("age": 90)
// do whatever
// rollback
tx.Rollback()
// commit
tx.Commit()
Logger
Grom has builtin logger support, enable it with:
db.LogMode(true)
// Use your own logger
// Refer gorm's default logger for how to format messages: https://github.com/jinzhu/gorm/blob/master/logger.go#files
db.SetLogger(log.New(os.Stdout, "\r\n", 0))
// Disable log
db.LogMode(false)
// Enable log for a single operation, make debug easy
db.Debug().Where("name = ?", "jinzhu").First(&User{})
Run Raw SQl
db.Exec("drop table users;")
Error Handling
query := db.Where("name = ?", "jinzhu").First(&user)
query := db.First(&user).Limit(10).Find(&users)
//// query.Error keep the latest error happened
//// query.Errors keep all errors happened
//// If an error happened, gorm will stop following operations
// I often use some code like below to do error handling when writting applicatoins
if err := db.Where("name = ?", "jinzhu").First(&user).Error; err != nil {
// ...
}
// If no record found, gorm will return RecordNotFound error, you could check it with
db.Where("name = ?", "hello world").First(&User{}).Error == gorm.RecordNotFound
Advanced Usage With Query Chain
Already excited about above usage? Let's see some magic!
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)
// Mix where conditions with inline conditions
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)
// Search with shared conditions from 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)
// An example for how to use FirstOrCreate
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 no record found
TODO
- Join, Having, Group, Includes
- Scopes, Valiations
- AlertColumn, DropColumn, AddIndex, RemoveIndex
Author
jinzhu
License
Released under the MIT License.