mongodb mapredReduce 多个条件分组（group by）

from:https://my.oschina.net/chiyong/blog/289138

 

Mongodb 没有传统数据库的group函数，如果分组需要走MapReduce。这种MR与HadoopMR类似。下面看看Mongodb 的分组实现

现在又一张 表它的数据格式如下： 
{ 
 "_id" : ObjectId("53b224e0a1ae72328a57702c"), 
 "title" : "SECJ0118E", 
 "criteria" : "未找到对应的错误码", 
 "actual" : "1", 
 "effect" : "可能引起重大问题", 
 "suggestion" : "请专家提供意见", 
 "severity" : "Normal", 
 "status" : "NotOK", 
 "rtype" : "FormLoginExte", 
 "comment" : "[8/2/12 17:28:21:231 GMT+08:00] 0000001e FormLoginExte E SECJ0118E: Authentication error during authentication for user rpt", 
 "category" : "logs", 
 "time" : "0008-02-12 17:28:21" 
} 
{ 
 "_id" : ObjectId("53b224e0a1ae72328a577052"), 
 "title" : "", 
 "criteria" : "未找到对应的错误码", 
 "actual" : "1", 
 "effect" : "可能引起重大问题", 
 "suggestion" : "请专家提供意见", 
 "severity" : "Normal", 
 "status" : "NotOK", 
 "rtype" : "servlet", 
 "comment" : "[8/2/12 19:04:41:891 CST] 0000000b servlet E com.ibm.ws.webcontainer.servlet.ServletWrapper init Uncaught.init.exception.thrown.by.servlet", 
 "category" : "logs", 
 "time" : "0008-02-12 19:04:41" 
} 
{ 
 "_id" : ObjectId("53b224e0a1ae72328a576fdc"), 
 "title" : "系统资源设置[processes]", 
 "criteria" : "unlimited", 
 "actual" : "unlimited", 
 "effect" : "如果对用户资源做了limits限制，有可能造成应用运行失败或系统性能下降。", 
 "suggestion" : "建议修改/etc/security/limits,编辑root相关参数部分都为-1。", 
 "severity" : "None", 
 "status" : "OK", 
 "rtype" : "系统参数设置检查", 
 "comment" : "", 
 "category" : "params" 
} 
1：单个条件分组 

 (1) 现在我们根据title进行分组 并且统计每个组的数量 

db.runCommand({ mapreduce: "check_result", 
map : function Map() { 
//emit 函数中的key是唯一的，是分组条件 这里把title传递过来。
emit( 
 this.title, 
 {count: 1} 
); 
}, 
reduce : function Reduce(key, values) { 
   total=0;//定义一个变量total , values是一个数组 
for( var i in values){ 
 total +=values[i].count 
} 

return {"count":total}; 
}, 
finalize : function Finalize(key, reduced) { 
return reduced; 
}, 
out : { inline : 1 } 
}); 

结果如下（结果中的_id键就是要分组的title 。value是分组后的值）： 
 { "_id" : "" , "value" : { "count" : 113.0}} 
{ "_id" : "/tmp是否设置了t标志位" , "value" : { "count" : 21.0}} 
{ "_id" : "ASYN0080W" , "value" : { "count" : 120.0}} 
{ "_id" : "AppServer的JVM堆最大值" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的JVM堆最小值" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的JVM标准输出日志切换周期" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的JVM标准输出日志回滚类型" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的JVM标准错误日志切换周期" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的JVM标准错误日志回滚类型" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的WebContainer线程池最大值" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的WebContainer线程池最小值" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的通用JVM参数" , "value" : { "count" : 6.0}} 
{ "_id" : "AppServer的通用JVM参数-SystemGC" , "value" : { "count" : 6.0}} 
{ "_id" : "Audit是否打开" , "value" : { "count" : 21.0}} 
{ "_id" : "CWPKI0041W" , "value" : { "count" : 65.0}} 
{ "_id" : "CWPMC0017W" , "value" : { "count" : 7.0}} 
{ "_id" : "CWSAA0037W" , "value" : { "count" : 13.0}} 
{ "_id" : "Could not invoke an operation on object" , "value" : { "count" : 21.0}} 
{ "_id" : "DCSV0000W" , "value" : { "count" : 4.0}} 
{ "_id" : "DCSV1115W" , "value" : { "count" : 137.0}} 

2：多个条件分组 


(1) 现在我们根据title,status,severity进行分组 并且统计每个组的数量 
db.runCommand({ mapreduce: "check_result", 
map : function Map() { 
//emit 函数中的key是唯一的，是分组条件 
emit( 
{"title":this.title,"status":this.status,"serverity":this.severity} 
, 
 {count: 1} 
); 
}, 
reduce : function Reduce(key, values) { 
   total=0;//定义一个变量total , values是一个数组 
for( var i in values){ 
 total +=values[i].count 
} 

return {"count":total}; 
}, 
finalize : function Finalize(key, reduced) { 
return reduced; 
}, 
out : { inline : 1 } 
}); 


输出结果如下格式化： 

{ "_id" : { "title" : "" , "status" : "NotOK"} , "value" : { "count" : 113.0}} 
{ "_id" : { "title" : "/tmp是否设置了t标志位" , "status" : "NotOK"} , "value" : { "count" : 21.0}} 
{ "_id" : { "title" : "ASYN0080W" , "status" : "NotOK"} , "value" : { "count" : 120.0}} 
{ "_id" : { "title" : "AppServer的JVM堆最大值" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的JVM堆最小值" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的JVM标准输出日志切换周期" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的JVM标准输出日志回滚类型" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的JVM标准错误日志切换周期" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的JVM标准错误日志回滚类型" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的WebContainer线程池最大值" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的WebContainer线程池最小值" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的通用JVM参数" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "AppServer的通用JVM参数-SystemGC" , "status" : "NotOK"} , "value" : { "count" : 6.0}} 
{ "_id" : { "title" : "Audit是否打开" , "status" : "NotOK"} , "value" : { "count" : 21.0}} 
{ "_id" : { "title" : "CWPKI0041W" , "status" : "NotOK"} , "value" : { "count" : 65.0}} 
{ "_id" : { "title" : "CWPMC0017W" , "status" : "NotOK"} , "value" : { "count" : 7.0}} 
{ "_id" : { "title" : "CWSAA0037W" , "status" : "NotOK"} , "value" : { "count" : 13.0}} 
{ "_id" : { "title" : "Could not invoke an operation on object" , "status" : "NotOK"} , "value" : { "count" : 21.0}} 
{ "_id" : { "title" : "DCSV0000W" , "status" : "NotOK"} , "value" : { "count" : 4.0}} 
{ "_id" : { "title" : "DCSV1115W" , "status" : "NotOK"} , "value" : { "count" : 137.0}}