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
木风小助理1 分钟前
MySQL 存储过程与函数:核心辨析与应用指南
服务器·数据库·microsoft
普通网友9 分钟前
更优雅的测试:Pytest框架入门
jvm·数据库·python
云边有个稻草人11 分钟前
电科金仓 KES Oracle 迁移避坑:核心问题排查与解决
数据库·oracle·数据库迁移·金仓数据库
这儿有一堆花19 分钟前
JSON 与 MongoDB:直存对象的便利与隐性代价
数据库·mongodb·json
翔云 OCR API20 分钟前
API让文档信息“活”起来:通用文档识别接口-开发者文字识别API
前端·数据库·人工智能·mysql·ocr
摇滚侠21 分钟前
Redis 零基础到进阶,zset、bitmap、HyperLogLog、GEO、stream、bitfiled,笔记20-27
数据库·redis·笔记
bing.shao28 分钟前
Golang select多路复用踩坑
数据库·golang·php
摇滚侠29 分钟前
索引失效,数据库引擎,索引失效的六种情况
数据库·面试
QT 小鲜肉31 分钟前
【Linux命令大全】001.文件管理(理论篇)
linux·数据库·chrome·笔记