MongoDB聚合运算符:$setDifference

MongoDB聚合运算符:$setDifference

文章目录

  • [MongoDB聚合运算符:setDifference](#MongoDB聚合运算符:setDifference)

$setDifference聚合运算符比较两个数组,返回之前第一个数组中存在的元素,相当于返回第二个数组对于第一个数组的补集。

语法

js 复制代码
{ $setDifference: [ <expression1>, <expression2> ] }

参数可以是任何能够解析为数组的表达式。

使用

  • $setDifference 对数组执行集合操作,将数组视为集合。如果数组包含重复元素,$setDifference 会忽略重复元素。 $setDifference 忽略元素的顺序。
  • $setDifference 会过滤掉结果中的重复元素,输出仅包含唯一元素的数组,输出数组中元素的顺序未指定。
  • 如果集合包含嵌套数组元素,则 $setDifference 不会下降到嵌套数组,而只处理顶层数组元素。
举例 结果
{ $setDifference: [ [ "a", "b", "a" ], [ "b", "a" ] ] } [ ]
{ $setDifference: [ [ "a", "b" ], [ [ "a", "b" ] ] ] } [ "a", "b" ]

举例

使用下面的脚本创建flowers集合:

js 复制代码
db.flowers.insertMany( [
   { "_id" : 1, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "rose", "orchid" ] },
   { "_id" : 2, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "orchid", "rose", "orchid" ] },
   { "_id" : 3, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "rose", "orchid", "jasmine" ] },
   { "_id" : 4, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "jasmine", "rose" ] },
   { "_id" : 5, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ ] },
   { "_id" : 6, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ [ "rose" ], [ "orchid" ] ] },
   { "_id" : 7, "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ [ "rose", "orchid" ] ] },
   { "_id" : 8, "flowerFieldA" : [ ], "flowerFieldB" : [ ] },
   { "_id" : 9, "flowerFieldA" : [ ], "flowerFieldB" : [ "rose" ] }
] )

下面的聚合使用 $setDifference 运算符返回在flowerFieldB 数组中找到但在flowerFieldA 数组中未找到的元素的数组:

js 复制代码
db.flowers.aggregate(
   [
     { $project: { flowerFieldA: 1, flowerFieldB: 1, inBOnly: { $setDifference: [ "$flowerFieldB", "$flowerFieldA" ] }, _id: 0 } }
   ]
)

操作返回下面的结果:

json 复制代码
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "rose", "orchid" ], "inBOnly" : [ ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "orchid", "rose", "orchid" ], "inBOnly" : [ ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "rose", "orchid", "jasmine" ], "inBOnly" : [ "jasmine" ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ "jasmine", "rose" ], "inBOnly" : [ "jasmine" ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ ], "inBOnly" : [ ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ [ "rose" ], [ "orchid" ] ], "inBOnly" : [ [ "rose" ], [ "orchid" ] ] }
{ "flowerFieldA" : [ "rose", "orchid" ], "flowerFieldB" : [ [ "rose", "orchid" ] ], "inBOnly" : [ [ "rose", "orchid" ] ] }
{ "flowerFieldA" : [ ], "flowerFieldB" : [ ], "inBOnly" : [ ] }
{ "flowerFieldA" : [ ], "flowerFieldB" : [ "rose" ], "inBOnly" : [ "rose" ] }
相关推荐
iAm_Ike8 小时前
Go 中自定义类型与基础类型间的显式类型转换详解
jvm·数据库·python
iuvtsrt8 小时前
Golang怎么实现方法集与接口的匹配_Golang如何理解值类型和指针类型实现接口的区别【详解】
jvm·数据库·python
tongluowan0079 小时前
MySQL中列数量及长度
数据库·mysql
-liming-9 小时前
单片机设计_串口调试工具
数据库·单片机·mongodb
鹿角片ljp9 小时前
从告警检测到智能研判:SQL 注入研判模型的设计与实践
数据库·sql
小新同学^O^11 小时前
简单学习 --> Spring事务
数据库·学习·spring
前进的李工11 小时前
MySQL慢查询日志优化实战
数据库·mysql·性能优化
KaMeidebaby11 小时前
卡梅德生物技术快报|禽类成纤维细胞 FISH 实验:鸟类性别染色体基因定位技术实现与数据验证
前端·数据库·其他·百度·新浪微博
ECT-OS-JiuHuaShan11 小时前
彻底定理化:从量子纠缠到量子代谢
数据库·人工智能·学习·算法·生活·量子计算