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。
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// 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。
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// 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。
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// SELECT * FROM `user` WHERE 0=1
g.Model("user").Where("uid", g.Slice{}).All()
// SELECT * FROM `user` WHERE `uid` IS NULL
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：
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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：
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// 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：
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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：
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// 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：
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// SELECT MIN(score) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Fields("MIN(score)").Where("uid", 1).Value()
// SELECT MAX(score) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Fields("MAX(score)").Where("uid", 1).Value()
// SELECT AVG(score) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Fields("AVG(score)").Where("uid", 1).Value()
// SELECT SUM(score) FROM `user` WHERE `uid`=1 LIMIT 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：
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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：
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// SELECT MIN(`score`) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Where("uid", 1).Min("score")
// SELECT MAX(`score`) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Where("uid", 1).Max("score")
// SELECT AVG(`score`) FROM `user` WHERE `uid`=1 LIMIT 1
g.Model("user").Where("uid", 1).Avg("score")
// SELECT SUM(`score`) FROM `user` WHERE `uid`=1 LIMIT 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：
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func (m *Model) CountColumn(column string) (int, error) |
使用示例：
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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：
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func (m *Model) Distinct() *Model |
使用示例：
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// 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 ``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：
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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：
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// 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：
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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：
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// SELECT * FROM `user` WHERE (`created_at` > 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` > 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` > 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` > 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：
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// SELECT * FROM `user` WHERE (`created_at` > 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() |