MongoDB The total amount of each key in a subdocument

Question

I have several documents with this diagram, each document per product per day:

{
    _id:{},
    app_id:'DHJFK67JDSJjdasj909',
    date:'2014-08-07',
    event_count:32423,
    event_count_per_type: {
        0:322,
        10:4234,
        20:653,
        30:7562
    }
}

I would like to get the sum of each event_type event for a specific date_range.
This is the result I'm looking for, where each type of event was summed across all documents. The keys for event_count_per_type can be any, so I need something that can go through each of them, and not be implicit with their names.

{
    app_id:'DHJFK67JDSJjdasj909',
    event_count:324236456,
    event_count_per_type: {
        0:34234222,
        10:242354,
        20:456476,
        30:56756
    }
}

I am trying to execute a few queries so far, this is the best I have received so far, but the values ​​of the supporting document are not summed up:

db.events.aggregate(
{
    $match: {app_id:'DHJFK67JDSJjdasj909'}
},
{
    $group: {
        _id: {
            app_id:'$app_id',
        },
        event_count: {$sum:'$event_count'},
        event_count_per_type: {$sum:'$event_count_per_type'}
    }
},
{
    $project: {
        _id:0,
        app_id:'$_id.app_id',
        event_count:1,
        event_count_per_type:1
    }
}
)

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Answer 1

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db.events.aggregate([
   { "$group": {
       "_id": "$app_id",
       "event_count": { "$sum": "$event_count" },
       "0": { "$sum": "$event_count_per_type.0" },
       "10": { "$sum": "$event_count_per_type.10" }
       "20": { "$sum": "$event_count_per_type.20" }
       "30": { "$sum": "$event_count_per_type.30" }
   }}
])

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{
    "app_id": "DHJFK67JDSJjdasj909",
    "date: ISODate("2014-08-07T00:00:00.000Z"),
    "event_count": 32423,
    "events": [
        { "type": 0,  "value": 322  },
        { "type": 10, "value": 4234 },
        { "type": 20, "value": 653  },
        { "type": 30, "value": 7562 }
    ]
}

, "" , , . , :

db.events.aggregate([
    { "$unwind": "$events" },
    { "$group": {
        "_id": { 
            "app_id": "$app_id",
            "type": "$events.type"
        },
        "event_count": { "$sum": "$event_count" },
        "value": { "$sum": "$value" }
    }},
    { "$group": {
        "_id": "$_id.app_id",
        "event_count": { "$sum": "$event_count" },
        "events": { "$push": { "type": "$_id.type", "value": "$value" } }
    }}
]) 

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db.events.mapReduce(
    function() {
        emit(
            this.app_id,
            {
                "event_count": this.event_count,
                "event_count_per_type": this.event_count_per_type
            }
        );
    },
    function(key,values) {

        var reduced = { "event_count": 0, "event_count_per_type": {} };

        values.forEach(function(value) {
            for ( var k in value.event_count_per_type ) {
                if ( !redcuced.event_count_per_type.hasOwnProperty(k) )
                    reduced.event_count_per_type[k] = 0;
                reduced.event_count_per_type += value.event_count_per_type;
            }
            reduced.event_count += value.event_count;
        })
    },
    {
        "out": { "inline": 1 }
    }
)

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