MongoDB聚合运算符:$setUnion

MongoDB聚合运算符:$setUnion

文章目录

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

$setUnion聚合运算符返回两个或多个数组的并集。

语法

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

<expression>为可解析为数组的表达式。

使用

$setUnion对数组执行集合操作,将数组视为集合。如果数组包含重复元素,$setUnion会忽略重复元素,并且$setUnion也会忽略元素的顺序。

如果集合包含嵌套数组元素,$setUnion 不会进入嵌套数组,而对顶层对数组进行评估。

举例 结果
{ $setUnion: [ [ "a", "b", "a" ], [ "b", "a" ] ] } [ "b", "a" ]
{ $setUnion: [ [ "a", "b" ], [ [ "a", "b" ] ] ] } [ [ "a", "b" ], "b", "a" ]

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" ] }
] )

下面的操作使用$setUnion运算符返回在数组flowerFieldA或数组flowerFieldB中出现的元素的数组,就是两个数组的并集:

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

操作返回下面的结果:

json 复制代码
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ "rose", "orchid" ], "allValues": [ "orchid", "rose" ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ "orchid", "rose", "orchid" ], "allValues": [ "orchid", "rose" ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ "rose", "orchid", "jasmine" ], "allValues": [ "orchid", "rose", "jasmine" ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ "jasmine", "rose" ], "allValues": [ "orchid", "rose", "jasmine" ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ ], "allValues": [ "orchid", "rose" ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ [ "rose" ], [ "orchid" ] ], "allValues": [ "orchid", "rose", [ "rose" ], [ "orchid" ] ] }
{ "flowerFieldA": [ "rose", "orchid" ], "flowerFieldB": [ [ "rose", "orchid" ] ], "allValues": [ "orchid", "rose", [ "rose", "orchid" ] ] }
{ "flowerFieldA": [ ], "flowerFieldB": [ ], "allValues": [ ] }
{ "flowerFieldA": [ ], "flowerFieldB": [ "rose" ], "allValues": [ "rose" ] }
相关推荐
IT邦德15 小时前
基于OEL8环境的图形化部署Oracle26ai
数据库·oracle
一心赚狗粮的宇叔15 小时前
mongosDb 安装及Mongosshell常见命令
数据库·mongodb·oracle·nosql·web·全栈
naruto_lnq16 小时前
Python生成器(Generator)与Yield关键字:惰性求值之美
jvm·数据库·python
墨黎芜16 小时前
SQL Server从入门到精通——C#与数据库
数据库·学习·信息可视化
爱学习的阿磊16 小时前
持续集成/持续部署(CI/CD) for Python
jvm·数据库·python
一个响当当的名号16 小时前
lectrue10 排序和聚合算法
数据库
hamawari16 小时前
SQL语法
数据库·sql·oracle
陌上丨16 小时前
Redis内存使用率在95%以上,请问是什么原因?如何解决?
数据库·redis·缓存
m0_5613596716 小时前
使用PyQt5创建现代化的桌面应用程序
jvm·数据库·python