在包含多個文件的 MongoDB 集合中按國家、州和城市彙總
聚合操作對來自多個文件的值進行分組,並且可以在分組資料上執行各種操作以返回單個結果。
若要在 MongoDB 中聚合,請使用 aggregate()。我們建立一個包含文件的集合 −
> db.demo620.insertOne({"Country":"IND","City":"Delhi",state:"Delhi"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e9a8de96c954c74be91e6a1")
}
> db.demo620.insertOne({"Country":"IND","City":"Bangalore",state:"Karnataka"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e9a8e336c954c74be91e6a3")
}
> db.demo620.insertOne({"Country":"IND","City":"Mumbai",state:"Maharashtra"});
{
"acknowledged" : true,
"insertedId" : ObjectId("5e9a8e636c954c74be91e6a4")
}在集合中使用 find() 方法顯示所有文件 −
> db.demo620.find();
這將會產生以下輸出 −
{ "_id" : ObjectId("5e9a8de96c954c74be91e6a1"), "Country" : "IND", "City" : "Delhi", "state" : "Delhi" }
{ "_id" : ObjectId("5e9a8e336c954c74be91e6a3"), "Country" : "IND", "City" : "Bangalore", "state" : "Karnataka" }
{ "_id" : ObjectId("5e9a8e636c954c74be91e6a4"), "Country" : "IND", "City" : "Mumbai", "state" : "Maharashtra" }以下是按國家、州和城市聚合的查詢 −
> db.demo620.aggregate([
... { "$group": {
... "_id": {
... "Country": "$Country",
... "state": "$state"
... },
... "City": {
... "$addToSet": {
... "City": "$City"
... }
... }
... }},
... { "$group": {
... "_id": "$_id.Country",
... "states": {
... "$addToSet": {
... "state": "$_id.state",
... "City": "$City"
... }
... }
... }}
... ]).pretty();這將會產生以下輸出 −
{
"_id" : "IND",
"states" : [
{
"state" : "Delhi",
"City" : [
{
"City" : "Delhi"
}
]
},
{
"state" : "Maharashtra",
"City" : [
{
"City" : "Mumbai"
}
]
},
{
"state" : "Karnataka",
"City" : [
{
"City" : "Bangalore"
}
]
}
]
}
廣告
資料結構
網路
RDBMS
作業系統
Java
iOS
HTML
CSS
Android
Python
C 程式語言
C++
C#
MongoDB
MySQL
Javascript
PHP