mongodb - Counting number of records that where date is in date range? -


i have collection documents below:

{startdate: isodate("2016-01-02t00:00:00z"), enddate: isodate("2016-01-05t00:00:00z")}, {startdate: isodate("2016-01-02t00:00:00z"), enddate: isodate("2016-01-08t00:00:00z")}, {startdate: isodate("2016-01-05t00:00:00z"), enddate: isodate("2016-01-08t00:00:00z")}, {startdate: isodate("2016-01-05t00:00:00z"), enddate: isodate("2016-01-10t00:00:00z")}, {startdate: isodate("2016-01-07t00:00:00z"), enddate: isodate("2016-01-10t00:00:00z")}

i return record every date between minimum startdate , maximum enddate. along each of these records return count of number of records startdate , enddate contain date.

so above example min startdate 1/2/2016 , max enddate 1/10/2016 return dates between 2 along counts. see desired output below:

{date: isodate("2016-01-02t00:00:00z"), count: 2} {date: isodate("2016-01-03t00:00:00z"), count: 2} {date: isodate("2016-01-04t00:00:00z"), count: 2} {date: isodate("2016-01-05t00:00:00z"), count: 4} {date: isodate("2016-01-06t00:00:00z"), count: 3} {date: isodate("2016-01-07t00:00:00z"), count: 4} {date: isodate("2016-01-08t00:00:00z"), count: 4} {date: isodate("2016-01-09t00:00:00z"), count: 2} {date: isodate("2016-01-010t00:00:00z"), count: 2}

please let me know if doesn't make sense , can try explain in more detail.

i able using loop below:

var startdate = isodate("2016-01-02t00:00:00z") var enddate = isodate("2016-02-10t00:00:00z") while(startdate < enddate){   var counts = db.data.find(       {         startdate: {$lte: startdate},         enddate: {$gte: startdate}       }     ).count()   print(startdate, counts)   startdate.setdate(startdate.getdate() + 1) }

but i'm wondering if there way using aggregation framework? come sql background looping data bad idea. same rule apply mongodb? should concerned using looping here , try use aggregation framework or valid solution?

your best bet here mapreduce. because can loop values in between "startdate" , "enddate" within each document , emit each day ( or other required interval ) between values. matter of accumulating per emitted date key data:

db.collection.mapreduce(     function() {         for( var d = this.startdate.valueof(); d <= this.enddate.valueof(); d += 1000 * 60 * 60 * 24 ) {             emit(new date(d), 1)         }     },     function(key,values) {         return array.sum(values);     },     { "out": { "inline": 1 } } )

this produces results this:

{         "results" : [                 {                         "_id" : isodate("2016-01-02t00:00:00z"),                         "value" : 2                 },                 {                         "_id" : isodate("2016-01-03t00:00:00z"),                         "value" : 2                 },                 {                         "_id" : isodate("2016-01-04t00:00:00z"),                         "value" : 2                 },                 {                         "_id" : isodate("2016-01-05t00:00:00z"),                         "value" : 4                 },                 {                         "_id" : isodate("2016-01-06t00:00:00z"),                         "value" : 3                 },                 {                         "_id" : isodate("2016-01-07t00:00:00z"),                         "value" : 4                 },                 {                         "_id" : isodate("2016-01-08t00:00:00z"),                         "value" : 4                 },                 {                         "_id" : isodate("2016-01-09t00:00:00z"),                         "value" : 2                 },                 {                         "_id" : isodate("2016-01-10t00:00:00z"),                         "value" : 2                 }         ],         "timemillis" : 35,         "counts" : {                 "input" : 5,                 "emit" : 25,                 "reduce" : 9,                 "output" : 9         },         "ok" : 1 }

your dates rounded day in sample, if not in real data simple matter of date math applied in order round per interval.


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