關於MongoDB的group分組

原文地址：http://www.cnblogs.com/mxw09/archive/2011/08/31/2161457.html

 

測試條件：Windows+MongoDB 1.8.2

先插入測試數據：

for(var i=1; i<20; i++){

var num=i%6;

db.test.insert({_id:i,name:"user_"+i,age:num});

}

1.普通分組查詢

db.test.group({key:{age:true},initial:{num:0},$reduce:function(doc,prev){

prev.num++

}});

db.runCommand({group:

{

ns:"test",

key:{age:true},

initial:{num:0},

$reduce:function(doc,prev){

prev.num++}

}

});

2.篩選後再分組

db.test.group({key:{age:true},initial:{num:0},$reduce:function(doc,prev){

prev.num++

},

condition:{age:{$gt:2}}

});

db.runCommand({group:

{

ns:"test",

key:{age:true},

initial:{num:0},

$reduce:function(doc,prev){

prev.num++},

condition:{age:{$gt:2}}

}

});

普通的$where查詢：

db.test.find({$where:function(){

return this.age>2;

}

});

group聯合$where查詢

db.test.group({key:{age:true},initial:{num:0},$reduce:function(doc,prev){

prev.num++

},

condition:{$where:function(){

return this.age>2;

}

}

});

3.使用函數返回值分組

//注意，$keyf指定的函數一定要返回一個對象

db.test.group({$keyf:function(doc){return {age:doc.age};},initial:{num:0},$reduce:function(doc,prev){

prev.num++

}

});

db.runCommand({group:

{

ns:"test",

$keyf:function(doc){return {age:doc.age};},

initial:{num:0},

$reduce:function(doc,prev){

prev.num++}

}

});

4.使用終結器

db.test.group({$keyf:function(doc){return {age:doc.age};},initial:{num:0},$reduce:function(doc,prev){

prev.num++

},

finalize: function(doc){ doc.count=doc.num;delete doc.num; }

});

db.runCommand({group:

{

ns:"test",

$keyf:function(doc){return {age:doc.age};},

initial:{num:0},

$reduce:function(doc,prev){

prev.num++},

finalize: function(doc){ doc.count=doc.num;delete doc.num; }

}

});

有關MapReduce

//首先插入測試數據
for(var i=1;i<21;i++)
{
db.test.insert({_id:i,name:'mm'+i});
}

//進行mapreduce
db.runCommand(
{
mapreduce:'test',
map:function(){emit(this.name.substr(0,3),this);},
reduce:function(key,vals){return vals[0];}, //注意：vals是一個Object對象而不是數組
out:'wq'
});

注意：
1.mapreduce是根據map函數裏調用的emit函數的第一個參數來進行分組的
2.僅當根據分組鍵分組後一個鍵匹配多個文檔，纔會將key和文檔集合交由reduce函數處理。例如：
db.runCommand(
{
mapreduce:'test',
map:function(){emit(this.name.substr(0,3),this);},
reduce:function(key,vals){return 'wq';},
out:'wq'
});
執行mapreduce命令後，再查看wq表數據：
db.wq.find()

{ "_id" : "mm1", "value" : "wq" }
{ "_id" : "mm2", "value" : "wq" }
{ "_id" : "mm3", "value" : { "_id" : 3, "name" : "mm3" } }
{ "_id" : "mm4", "value" : { "_id" : 4, "name" : "mm4" } }
{ "_id" : "mm5", "value" : { "_id" : 5, "name" : "mm5" } }
{ "_id" : "mm6", "value" : { "_id" : 6, "name" : "mm6" } }
{ "_id" : "mm7", "value" : { "_id" : 7, "name" : "mm7" } }
{ "_id" : "mm8", "value" : { "_id" : 8, "name" : "mm8" } }
{ "_id" : "mm9", "value" : { "_id" : 9, "name" : "mm9" } }