在实习这段时间接触到了Grom框架的使用,很好用,有必要整理下其用法:
一、CRUD相关
1. 查询
// 获取第一条记录,按主键排序
db.First(&user)
//// SELECT * FROM users ORDER BY id LIMIT 1;
// 获取一条记录,不指定排序
db.Take(&user)
//// SELECT * FROM users LIMIT 1;
// 获取最后一条记录,按主键排序
db.Last(&user)
//// SELECT * FROM users ORDER BY id DESC LIMIT 1;
// 获取所有的记录
db.Find(&users)
//// SELECT * FROM users;
// 通过主键进行查询 (仅适用于主键是数字类型)
db.First(&user, 10)
//// SELECT * FROM users WHERE id = 10;
2. 使用Where添加查询条件
// 获取第一条匹配的记录
db.Where(
"name = ?"
,
"jinzhu"
).First(&user)
//// SELECT * FROM users WHERE name = 'jinzhu' limit 1;
// 获取所有匹配的记录
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)
// BETWEEN
db.Where(
"created_at BETWEEN ? AND ?"
, lastWeek, today).Find(&users)
3. 结构体相关
// 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;
// 多主键 slice 查询
db.Where([]int64{20, 21, 22}).Find(&users)
//// SELECT * FROM users WHERE id IN (20, 21, 22);
// NOTE 当通过 struct 进行查询的时候,GORM 将会查询这些字段的非零值, 意味着你的字段包含 0, '', false 或者其他 零值 , 将不会出现在查询语句中.
// 解决方案:使用指针或者scanner/valuer
// 使用指针类型
type
User
struct
{
gorm.Model
Name string
Age *int
}
// 使用 scanner/valuer
type
User
struct
{
gorm.Model
Name string
Age sql.NullInt64
}
4. Not条件
db.Not(
"name"
,
"jinzhu"
).First(&user)
//// SELECT * FROM users WHERE name <> "jinzhu" LIMIT 1;
// 不包含
db.Not(
"name"
, []string{
"jinzhu"
,
"jinzhu 2"
}).Find(&users)
//// SELECT * FROM users WHERE name NOT IN ("jinzhu", "jinzhu 2");
//不在主键 slice 中
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;
// 原生 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";
5. 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)
//// SELECT * FROM users WHERE name = 'jinzhu' OR name = 'jinzhu 2';
6. 行内查询,把查询写入一条中
// 通过主键进行查询 (仅适用于主键是数字类型)
db.First(&user, 23)
//// SELECT * FROM users WHERE id = 23 LIMIT 1;
// 非数字类型的主键查询
db.First(&user,
"id = ?"
,
"string_primary_key"
)
//// SELECT * FROM users WHERE id = 'string_primary_key' LIMIT 1;
7. Attr 如果未找到记录,则使用参数初始化 struct
// 未查询到
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:
"non_existing"
}).Attrs(
"age"
, 20).FirstOrInit(&user)
//// SELECT * FROM USERS WHERE name = 'non_existing';
//// user -> User{Name: "non_existing", Age: 20}
// 查询到
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}
8. Assingn 无论是否查询到数据,都将参数赋值给 struct
// 未查询到
db.Where(User{Name:
"non_existing"
}).Assign(User{Age: 20}).FirstOrInit(&user)
//// user -> User{Name: "non_existing", Age: 20}
// 查询到
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}
9. 子查询
使用*grom.expr 进行子查询
db.Where(
"amount > ?"
, DB.Table(
"orders"
).Select(
"AVG(amount)"
).Where(
"state = ?"
,
"paid"
).QueryExpr()).Find(&orders)
// SELECT * FROM "orders" WHERE "orders"."deleted_at" IS NULL AND (amount > (SELECT AVG(amount) FROM "orders" WHERE (state = 'paid')));
查询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;
10. Order
// 当第二个参数设置为 true 时,将会覆盖之前的定义条件。db.Order("age desc, name").Find(&users)
//// SELECT * FROM users ORDER BY age desc, name;
// 多个排序条件
db.Order(
"age desc"
).Order(
"name"
).Find(&users)
//// SELECT * FROM users ORDER BY age desc, name;
// 重新排序
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)
11. Limit 指定查询的最大记录数
12. Offset 指定在开始返回记录之前要跳过的记录数。
13. Count 获取记录数
db.Limit(10).Find(&users1).Limit(-1).Find(&users2)
//// SELECT * FROM users LIMIT 10; (users1)
//// SELECT * FROM users; (users2)
// 用 -1 取消 OFFSET 限制条件
db.Offset(10).Find(&users1).Offset(-1).Find(&users2)
//// SELECT * FROM users OFFSET 10; (users1)
//// SELECT * FROM users; (users2)
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;
14. 熟悉的Group和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)
15. 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)
// 多个关联查询
db.Joins(
"JOIN emails ON emails.user_id = users.id AND emails.email = ?"
,
"jinzhu@example.org"
).Joins(
"JOIN credit_cards ON credit_cards.user_id = users.id"
).Where(
"credit_cards.number = ?"
,
"411111111111"
).Find(&user)
二、 更新操作
1. 更新所有字段 Save
db.First(&user)
user.Name =
"jinzhu 2"
user.Age = 100
db.Save(&user)
//// UPDATE users SET name='jinzhu 2', age=100, birthday='2016-01-01', updated_at = '2013-11-17 21:34:10' WHERE id=111;
// 更新已经修改了的字段,可以使用 Update、Updates
// 如果单个属性被更改了,更新它
db.Model(&user).Update(
"name"
,
"hello"
)
//// UPDATE users SET name='hello', updated_at='2013-11-17 21:34:10' WHERE id=111;
// 使用组合条件更新单个属性
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;
// 使用 `map` 更新多个属性,只会更新那些被更改了的字段
db.Model(&user).Updates(
map
[string]
interface
{}{
"name"
:
"hello"
,
"age"
: 18,
"actived"
: false})
//// UPDATE users SET name='hello', age=18, actived=false, updated_at='2013-11-17 21:34:10' WHERE id=111;
// 使用 `struct` 更新多个属性,只会更新那些被修改了的和非空的字段
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;
// 警告: 当使用结构体更新的时候, GORM 只会更新那些非空的字段
// 例如下面的更新,没有东西会被更新,因为像 "", 0, false 是这些字段类型的空值
db.Model(&user).Updates(User{Name:
""
, Age: 0, Actived: false})
2. 带有表达式的SQL更新
DB.Model(&product).Update(
"price"
, gorm.Expr(
"price * ? + ?"
, 2, 100))
//// UPDATE "products" SET "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 "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;
三、删除
1. 删除一条记录
// 当删除一条记录的时候,你需要确定这条记录的主键有值,GORM 会使用主键来删除这条记录。如果主键字段为空,GORM 会删除模型中所有的记录。
// 删除一条存在的记录
db.Delete(&email)
//// DELETE from emails where id=10;
// 为删除 SQL 语句添加额外选项
db.Set(
"gorm:delete_option"
,
"OPTION (OPTIMIZE FOR UNKNOWN)"
).Delete(&email)
//// DELETE from emails where id=10 OPTION (OPTIMIZE FOR UNKNOWN);
2. 批量删除
db.Where(
"email LIKE ?"
,
"%jinzhu%"
).Delete(Email{})
//// DELETE from emails where email LIKE "%jinzhu%";
db.Delete(Email{},
"email LIKE ?"
,
"%jinzhu%"
)
//// DELETE from emails where email LIKE "%jinzhu%";
3. 软删除
如果模型中有 DeletedAt
字段,它将自动拥有软删除的能力!当执行删除操作时,数据并不会永久的从数据库中删除,而是将 DeletedAt
的值更新为当前时间。
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE id = 111;
// 批量删除
db.Where("age = ?", 20).Delete(&User{})
//// UPDATE users SET deleted_at="2013-10-29 10:23" WHERE age = 20;
// 在查询记录时,软删除记录会被忽略
db.Where("age = 20").Find(&user)
//// SELECT * FROM users WHERE age = 20 AND deleted_at IS NULL;
// 使用 Unscoped 方法查找软删除记录
db.Unscoped().Where("age = 20").Find(&users)
//// SELECT * FROM users WHERE age = 20;
// 使用 Unscoped 方法永久删除记录
db.Unscoped().Delete(&order)
//// DELETE FROM orders WHERE id=10;
三、链式操作
Gorm中支持链式操作,在调用方法之前都不会进行产生查询
创建方法就是那些会产生 SQL 查询并且发送到数据库,通常它就是一些 CRUD 方法, 就像:
Create, First, Find, Take, Save, UpdateXXX, Delete, Scan, Row, Rows...
db, err := gorm.Open(
"postgres"
,
"user=gorm dbname=gorm sslmode=disable"
)
// 创建一个新的关系
tx := db.Where(
"name = ?"
,
"jinzhu"
)
// 新增更多的筛选条件
if
someCondition {
tx = tx.Where(
"age = ?"
, 20)
}
else
{
tx = tx.Where(
"age = ?"
, 30)
}
if
yetAnotherCondition {
tx = tx.Where(
"active = ?"
, 1)
}
// 创建方法
tx.Find(&user)
// 生成
SELECT * FROM users where name =
'jinzhu'
AND age = 30 AND active = 1;
Scopes方法 提取一些通用的逻辑
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)
// 查找所有大于1000的信用卡订单和金额
db.Scopes(AmountGreaterThan1000, PaidWithCod).Find(&orders)
// 查找所有大于1000的 COD 订单和金额
db.Scopes(AmountGreaterThan1000, OrderStatus([]string{
"paid"
,
"shipped"
})).Find(&orders)
// 查找大于1000的所有付费和运单
多个创建方法使用
db.Where(
"name LIKE ?"
,
"jinzhu%"
).Find(&users,
"id IN (?)"
, []int{1, 2, 3}).Count(&count)
// 生成
SELECT * FROM users WHERE name LIKE
'jinzhu%'
AND id IN (1, 2, 3)
SELECT count(*) FROM users WHERE name LIKE
'jinzhu%'
注:所有的链式操作都将会克隆并创建一个新的数据库对象(共享一个连接池),GORM 对于多个 goroutines 的并发使用是安全的。四、错误处理
1. check
if
err := db.Where(
"name = ?"
,
"jinzhu"
).First(&user).Error; err != nil {
// error handling...
}
if
result := db.Where(
"name = ?"
,
"jinzhu"
).First(&user); result.Error != nil {
// error handling...
}
2. 多个错误的处理
// 如果有多个错误产生,`GetErrors` 返回一个 `[]error`的切片
db.First(&user).Limit(10).Find(&users).GetErrors()
fmt.Println(len(errors))
for
_, err :=
range
errors {
fmt.Println(err)
}
3. GORM 提供了一个处理
RecordNotFound
错误的快捷方式,如果发生了多个错误,它将检查每个错误,如果它们中的任何一个是 RecordNotFound
错误//检查是否返回 RecordNotFound 错误
db.Where(
"name = ?"
,
"hello world"
).First(&user).RecordNotFound()
if
db.Model(&user).Related(&credit_card).RecordNotFound() {
// 数据没有找到
}
if
err := db.Where(
"name = ?"
,
"jinzhu"
).First(&user).Error; gorm.IsRecordNotFoundError(err) {
// 数据没有找到
}
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