问题
I am trying to use a Map Reduce to count number documents according to one of the field values per date. First, here are the results from a couple of regular find() functions:
db.errors.find({ "cDate" : ISODate("2012-11-20T00:00:00Z") }).count();
returns 579 (ie. there are 579 documents for this date)
db.errors.find( { $and: [ { "cDate" : ISODate("2012-11-20T00:00:00Z") }, {"Type":"General"} ] } ).count()
returns 443 (ie. there are 443 documents for this date where Type="General")
Following is my MapReduce:
db.runCommand({ mapreduce: "errors",
map : function Map() {
emit(
this.cDate,//Holds a date value
{
count: 1,
countGeneral: 1,
Type: this.Type
}
);
},
reduce : function Reduce(key, values) {
var reduced = {count:0,countGeneral:0,Type:''};
values.forEach(function(val) {
reduced.count += val.count;
if (val.Type === 'General')
reduced.countGeneral += val.countGeneral;
});
return reduced;
},
finalize : function Finalize(key, reduced) {
return reduced;
},
query : { "cDate" : { "$gte" : ISODate("2012-11-20T00:00:00Z") } },
out : { inline : 1 }
});
For the date 20-11-20 the map reduce returns:
count: 579
countGeneral: 60 (should be 443 according to the above find query)
Now, I understand that the Reduce is unpredictable in the way it loops so how should I do this? Thanks
回答1:
Your map function is wrong. You could do something like this:
function Map() {
var cG=0;
if (this.Type == 'General') { cG=1; }
emit(
this.cDate,//Holds a date value
{
count: 1,
countGeneral: cG
}
);
}
This emits countGeneral 1 if Type is 'General' and 0 otherwise.
Then you can remove the type check from your emit function entirely, since you're destroying it anyway in your reduce function. Currently your reduce clobbers Type information passed from emit during the reduce phase.
回答2:
I suggest that you lose the rest of your values just because you don't return 'General' in your reduce part.
Reduce runs more than once for all the values emitted in the map
part and returned from the reduce
function.
For example, when the first iteration of reduce have run, you've got output object containing something like:
{count: 15, countGeneral: 3, Type: ''}
And other iterations of reduce collect this object and others like this one and don't see Type:'General'
there and don't increase the countGeneral
anymore.
来源:https://stackoverflow.com/questions/13580755/counting-documents-in-mapreduce-depending-on-condition-mongodb