`in`查询

使用字符串、slice参数类型。当使用slice参数类型时，预处理占位符只需要一个?即可。

// SELECT * FROM user WHERE uid IN(100,10000,90000)
g.Model("user").Where("uid IN(?,?,?)", 100, 10000, 90000).All()
g.Model("user").Where("uid", g.Slice{100, 10000, 90000}).All()

// SELECT * FROM user WHERE gender=1 AND uid IN(100,10000,90000)
g.Model("user").Where("gender=? AND uid IN(?)", 1, g.Slice{100, 10000, 90000}).All()

// SELECT COUNT(*) FROM user WHERE age in(18,50)
g.Model("user").Where("age IN(?,?)", 18, 50).Count()
g.Model("user").Where("age", g.Slice{18, 50}).Count()

使用任意map参数类型。

// SELECT * FROM user WHERE gender=1 AND uid IN(100,10000,90000)
g.Model("user").Where(g.Map{
    "gender" : 1,
    "uid"    : g.Slice{100,10000,90000},
}).All()

使用struct参数类型，注意查询条件的顺序和struct的属性定义顺序有关。

type User struct {
    Id     []int  `orm:"uid"`
    Gender int    `orm:"gender"`
}
// SELECT * FROM `user` WHERE uid IN(100,10000,90000) AND gender=1
g.Model("user").Where(User{
    Gender: 1,
    Id:     []int{100, 10000, 90000},
}).All()

为提高易用性，当传递的slice参数为空或nil时，查询并不会报错，而是转换为一个false条件语句。

// SELECT * FROM `user` WHERE 0=1 
g.Model("user").Where("uid", g.Slice{}).All()
g.Model("user").Where("uid", nil).All()

ORM同时也提供了常用条件方法WhereIn/WhereNotIn/WhereOrIn/WhereOrNotIn方法，用于常用的In查询条件过滤。方法定义如下：

func (m *Model) WhereIn(column string, in interface{}) *Model
func (m *Model) WhereNotIn(column string, in interface{}) *Model
func (m *Model) WhereOrIn(column string, in interface{}) *Model
func (m *Model) WhereOrNotIn(column string, in interface{}) *Model

使用示例：

// SELECT * FROM `user` WHERE `gender`=1 AND `type` IN(1,2,3)
g.Model("user").Where("gender", 1).WhereIn("type", g.Slice{1,2,3}).All()

// SELECT * FROM `user` WHERE `gender`=1 AND `type` NOT IN(1,2,3)
g.Model("user").Where("gender", 1).WhereNotIn("type", g.Slice{1,2,3}).All()

// SELECT * FROM `user` WHERE `gender`=1 OR `type` IN(1,2,3)
g.Model("user").Where("gender", 1).WhereOrIn("type", g.Slice{1,2,3}).All()

// SELECT * FROM `user` WHERE `gender`=1 OR `type` NOT IN(1,2,3)
g.Model("user").Where("gender", 1).WhereOrNotIn("type", g.Slice{1,2,3}).All()

`like` 查询

// SELECT * FROM `user` WHERE name like '%john%'
g.Model("user").Where("name like ?", "%john%").All()

// SELECT * FROM `user` WHERE birthday like '1990-%'
g.Model("user").Where("birthday like ?", "1990-%").All()

从goframe v1.16版本开始，goframe的ORM同时也提供了常用条件方法WhereLike/WhereNotLike/WhereOrLike/WhereOrNotLike方法，用于常用的Like查询条件过滤。方法定义如下：

func (m *Model) WhereLike(column string, like interface{}) *Model
func (m *Model) WhereNotLike(column string, like interface{}) *Model
func (m *Model) WhereOrLike(column string, like interface{}) *Model
func (m *Model) WhereOrNotLike(column string, like interface{}) *Model

使用示例：

// SELECT * FROM `user` WHERE `gender`=1 AND `name` LIKE 'john%'
g.Model("user").Where("gender", 1).WhereLike("name", "john%").All()

// SELECT * FROM `user` WHERE `gender`=1 AND `name` NOT LIKE 'john%'
g.Model("user").Where("gender", 1).WhereNotLike("name", "john%").All()

// SELECT * FROM `user` WHERE `gender`=1 OR `name` LIKE 'john%'
g.Model("user").Where("gender", 1).WhereOrLike("name", "john%").All()

// SELECT * FROM `user` WHERE `gender`=1 OR `name` NOT LIKE 'john%'
g.Model("user").Where("gender", 1).WhereOrNotLike("name", "john%").All()

`min/max/avg/sum`

我们直接将统计方法使用在Fields方法上，例如：

// SELECT MIN(score) FROM `user` WHERE `uid`=1
g.Model("user").Fields("MIN(score)").Where("uid", 1).Value()

// SELECT MAX(score) FROM `user` WHERE `uid`=1
g.Model("user").Fields("MAX(score)").Where("uid", 1).Value()

// SELECT AVG(score) FROM `user` WHERE `uid`=1
g.Model("user").Fields("AVG(score)").Where("uid", 1).Value()

// SELECT SUM(score) FROM `user` WHERE `uid`=1 
g.Model("user").Fields("SUM(score)").Where("uid", 1).Value()

从goframe v1.16版本开始，goframe的ORM同时也提供了常用统计方法Min/Max/Avg/Sum方法，用于常用的字段统计查询。方法定义如下：

func (m *Model) Min(column string) (float64, error)
func (m *Model) Max(column string) (float64, error)
func (m *Model) Avg(column string) (float64, error)
func (m *Model) Sum(column string) (float64, error)

上面的示例使用快捷统计方法改造后：

// SELECT MIN(`score`) FROM `user` WHERE `uid`=1
g.Model("user").Where("uid", 1).Min("score")

// SELECT MAX(`score`) FROM `user` WHERE `uid`=1
g.Model("user").Where("uid", 1).Max("score")

// SELECT AVG(`score`) FROM `user` WHERE `uid`=1
g.Model("user").Where("uid", 1).Avg("score")

// SELECT SUM(`score`) FROM `user` WHERE `uid`=1
g.Model("user").Where("uid", 1).Sum("score")

`count`查询

// SELECT COUNT(1) FROM `user` WHERE `birthday`='1990-10-01'
g.Model("user").Where("birthday", "1990-10-01").Count()

// SELECT COUNT(uid) FROM `user` WHERE `birthday`='1990-10-01'
g.Model("user").Fields("uid").Where("birthday", "1990-10-01").Count()

从goframe v1.16版本开始，goframe的ORM同时也提供了一个按照字段进行Count的常用方法CountColumn。方法定义如下：

func (m *Model) CountColumn(column string) (int, error)

使用示例：

g.Model("user").Where("birthday", "1990-10-01").CountColumn("uid")

`distinct`查询

// SELECT DISTINCT uid,name FROM `user`
g.Model("user").Fields("DISTINCT uid,name").All()

// SELECT COUNT(DISTINCT uid,name) FROM `user`
g.Model("user").Fields("DISTINCT uid,name").Count()

从goframe v1.16版本开始，goframe的ORM同时也提供了一个字段唯一性过滤标记方法Distinct。方法定义如下：

func (m *Model) Distinct() *Model

使用示例：

// SELECT COUNT(DISTINCT `name`) FROM `user`
g.Model("user").Distinct().CountColumn("name")

// SELECT COUNT(DISTINCT uid,name) FROM `user`
g.Model("user").Distinct().CountColumn("uid,name")

// SELECT DISTINCT group,age FROM `user`
g.Model("user").Fields("group, age").Distinct().All()

`between`查询

// SELECT * FROM `user ` WHERE age between 18 and 20
g.Model("user").Where("age between ? and ?", 18, 20).All()

从goframe v1.16版本开始，goframe的ORM同时也提供了常用条件方法WhereBetween/WhereNotBetween/WhereOrBetween/WhereOrNotBetween方法，用于常用的Between查询条件过滤。方法定义如下：

func (m *Model) WhereBetween(column string, min, max interface{}) *Model
func (m *Model) WhereNotBetween(column string, min, max interface{}) *Model
func (m *Model) WhereOrBetween(column string, min, max interface{}) *Model
func (m *Model) WhereOrNotBetween(column string, min, max interface{}) *Model

使用示例：

// SELECT * FROM `user` WHERE `gender`=0 AND `age` BETWEEN 16 AND 20
g.Model("user").Where("gender", 0).WhereBetween("age", 16, 20).All()

// SELECT * FROM `user` WHERE `gender`=0 AND `age` NOT BETWEEN 16 AND 20
g.Model("user").Where("gender", 0).WhereNotBetween("age", 16, 20).All()

// SELECT * FROM `user` WHERE `gender`=0 OR `age` BETWEEN 16 AND 20
g.Model("user").Where("gender", 0).WhereOrBetween("age", 16, 20).All()

// SELECT * FROM `user` WHERE `gender`=0 OR `age` NOT BETWEEN 16 AND 20
g.Model("user").Where("gender", 0).WhereOrNotBetween("age", 16, 20).All()

`null`查询

ORM提供了常用条件方法WhereNull/WhereNotNull/WhereOrNull/WhereOrNotNull方法，用于常用的Null查询条件过滤。方法定义如下：

func (m *Model) WhereNull(columns ...string) *Model
func (m *Model) WhereNotNull(columns ...string) *Model
func (m *Model) WhereOrNull(columns ...string) *Model
func (m *Model) WhereOrNotNull(columns ...string) *Model

使用示例：

// SELECT * FROM `user` WHERE `created_at` > '2021-05-01 00:00:00' AND `inviter` IS NULL
g.Model("user").Where("created_at>?", gtime.New("2021-05-01")).WhereNull("inviter").All()

// SELECT * FROM `user` WHERE `created_at` > '2021-05-01 00:00:00' AND `inviter` IS NOT NULL
g.Model("user").Where("created_at>?", gtime.New("2021-05-01")).WhereNotNull("inviter").All()

// SELECT * FROM `user` WHERE `created_at` > '2021-05-01 00:00:00' OR `inviter` IS NULL
g.Model("user").Where("created_at>?", gtime.New("2021-05-01")).WhereOrNull("inviter").All()

// SELECT * FROM `user` WHERE `created_at` > '2021-05-01 00:00:00' OR `inviter` IS NOT NULL
g.Model("user").Where("created_at>?", gtime.New("2021-05-01")).WhereOrNotNull("inviter").All()

同时，这几个方法的参数支持多个字段输入，例如：

// SELECT * FROM `user` WHERE `created_at` > '2021-05-01 00:00:00' AND `inviter` IS NULL AND `creator` IS NULL
g.Model("user").Where("created_at>?", gtime.New("2021-05-01")).WhereNull("inviter", "creator").All()

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`in`查询

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`min/max/avg/sum`

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`between`查询

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ORM查询-常用操作示例

in查询

like 查询

min/max/avg/sum

count查询

distinct查询

between查询

null查询

`in`查询

`like` 查询

`min/max/avg/sum`

`count`查询

`distinct`查询

`between`查询

`null`查询