i have a query regarding the mapReduce framework in mongodb, so i have a result of key value pair from mapReduce function , now i want to run the query on this output of map
Try this,
db.order.mapReduce(function() { emit (this.customer,{count:1,orderDate:this.orderDate.interval_start}) },
function(key,values){
var category; // add this new field
var sum =0 ; var lastOrderDate;
values.forEach(function(value) {
if(value['orderDate']){
lastOrderDate=value['orderDate'];
}
sum+=value['count'];
});
// at this point you are already aware in which category your records lies , just add a new field to mark it
if(sum < 5){ category: userLessThan5};
if(sum >= 5 && sum <=10){ category: user5to10};
if(sum <= 10 && sum >= 15){ category: user10to15};
if(sum <= 15 && sum >=20){ category: user15to20};
....
return {count:sum,lastOrderDate:lastOrderDate,category:category};
},
{ query:{status:"DELIVERED"},out:"order_total"}).find()
db.order_total.aggregate([{ $group: { "_id": "$value.category", "users": { $sum: 1 } } }]);
you will get you desired result
{userLessThan5: 9 }
{user5to10: 2 }
{user10to15: 1 }
{user15to20: 0 }
....
You could try to group the output data after mapreduce to every 5 interval count through aggregate
like below
db.data.aggregate([
{ "$group": {
"_id": {
"$subtract": [
{ "$subtract": [ "$value.count", 0 ] },
{ "$mod": [
{ "$subtract": [ "$value.count", 0 ] },
5
]}
]
},
"count": { "$sum": 1 }
}}
])
Also maybe here is one related question here.
I wrote a query using your data in aggregation as per my knowledge, there may be better way to solve this problem.
var a=db.test.aggregate([{$match:{"value.count":{$lt:5}}},
{ $group: { _id:"$value.count",total:{"$sum":1}}},
{$group:{_id:"less than 5",total:{$sum:"$total"}}}])
var b=db.test.aggregate([{$match:{"value.count":{$lt:10,$gt:5}}},
{ $group: { _id:"$value.count",total:{"$sum":1}}},
{$group:{_id:"between 5 and 10",total:{$sum:"$total"}}}])
var c=db.test.aggregate([{$match:{"value.count":{$lt:15,$gt:10}}},
{ $group: { _id:"$value.count",total:{"$sum":1}}},
{$group:{_id:"between 10 and 15",total:{$sum:"$total"}}}])
insert a, b, c into another collection