作为MongoDB的新手,我正在尝试进行MapReduce调用。 不幸的是我收到以下错误:
mongos> db.events.mapReduce(m,r,"errors");
Fri Apr 12 11:39:15.637 JavaScript execution failed: map reduce failed:{
"ok" : 0,
"errmsg" : "MR parallel processing failed: { errmsg: \"exception: reduce -> multiple not supported yet\", code: 10075, ok: 0.0 }"
} at src/mongo/shell/collection.js:L970
mongos>
我正在使用Mongo 2.4.0
我的活动集合如下所示:
{ "sid" : "1UADM45MCGRTW ", "time" : ISODate("2013-04-08T11:33:13.229Z"), "class" : "S", "service" : "service1" }
{ "sid" : "1UADM45MCGRTW ", "time" : ISODate("2013-04-08T11:33:13.229Z"), "class" : "I", "service" : "service1" }
{ "sid" : "1UADM45MCGRTW ", "time" : ISODate("2013-04-08T11:33:13.236Z"), "class" : "E", "text" : "error message" }
{ "sid" : "1UADM45MCGRTW ", "time" : ISODate("2013-04-08T11:33:13.239Z"), "class" : "F", "service" : "service1" }
{ "sid" : "1UDO3H7YUOK08 ", "time" : ISODate("2013-04-08T11:33:08.095Z"), "class" : "S", "service" : "service2" }
{ "sid" : "1UDO3H7YUOK08 ", "time" : ISODate("2013-04-08T11:33:08.095Z"), "class" : "I", "service" : "service2" }
{ "sid" : "1UDO3H7YUOK08 ", "time" : ISODate("2013-04-08T11:33:08.173Z"), "class" : "E", "text" : "another error message" }
{ "sid" : "1UDO3H7YUOK08 ", "time" : ISODate("2013-04-08T11:33:08.188Z"), "class" : "F", "service" : "service2" }
{ "sid" : "1UDO3JVXIS2UZ ", "time" : ISODate("2013-04-08T11:28:39.480Z"), "class" : "I", "service" : "service1" }
{ ""sid" : "1UDO3JVXIS2UZ ", "time" : ISODate("2013-04-08T11:28:39.480Z"), "class" : "S", "service" : "service1" }
{ "sid" : "1UDO3JVXIS2UZ ", "time" : ISODate("2013-04-08T11:28:40.853Z"), "class" : "F", "service" : "service1" }
{ "sid" : "1UDO3JVXIS2UZ ", "time" : ISODate("2013-04-08T11:28:40.852Z"), "class" : "I", "service" : "service1" }
我的目的是获取所有“E”条目并将它们与“F”条目的相应“sid”的“服务”字段组合。所以这应该很简单,但我无法理解(因为上述错误)。
我使用的map / reduce函数是:
var m = function() {
if (this.class == "E") {
value = { time: this.time, error: this.text };
emit(this.sid, value);
} else if (this.class == "F") {
value = { service: this.service };
emit(this.sid, value);
}
}
var r = function(key,values) {
return values;
}
db.events.mapReduce(m,r,"errors");
答案 0 :(得分:4)
问题是你想累积每个键的所有错误,这意味着你必须发出一个文档数组,然后你的reduce必须将它们组合成一个数组(因为它将接收一个数组数组) )。
你遇到的另一个问题是你想要将每个唯一cid的不同类组合成一些组合的简化结果,但你的reduce函数甚至都没有尝试这样做。
很难知道每个sid可能获得多少不同的类值,但如果它像你给出的示例数据那样,我猜你想要这样的东西:
var m = function() {
array = [];
if (this.class == "E") {
value = { time: this.time, error: this.text };
array.push(value);
emit(this.sid, {a:array});
} else if (this.class == "F") {
value = { service: this.service };
array.push(value);
emit(this.sid, {a:array});
}
}
var r = function(key,values) {
result = {a:[]};
values.forEach(function (v) {
result.a = v.a.concat(result.a);
});
return result;
}
db.events.mapReduce(m,r,"errors");
在您的示例中,结果集合将如下所示:
> db.errors.find().pretty()
{
"_id" : "1UADM45MCGRTW ",
"value" : {
"a" : [
{
"service" : "service1"
},
{
"time" : ISODate("2013-04-08T11:33:13.236Z"),
"error" : "error message"
}
]
}
}
{
"_id" : "1UDO3H7YUOK08 ",
"value" : {
"a" : [
{
"service" : "service2"
},
{
"time" : ISODate("2013-04-08T11:33:08.173Z"),
"error" : "another error message"
}
]
}
}
{
"_id" : "1UDO3JVXIS2UZ ",
"value" : {
"a" : [
{
"service" : "service1"
}
]
}
}
你可以添加一个finalize函数来将这个数组转换为一个单个文档的结果,但这取决于你想要的结果集合的格式以及每个sid的预期输入。
答案 1 :(得分:0)
根据文件(troubleshoot reduce function) “ reduce函数必须返回一个对象,其类型必须与map函数发出的值的类型相同”
当您发出一个对象时,reduce也应该也会发出一个对象 - 所以将values
包裹在一个对象中你应该很好。