MongoDB aggregate include pseudo data -

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i have simple aggregate returns sum of users status between time frame.

user.aggregate([   {     $match: {       "created" : {           $gt: startdate,           $lt: enddate        }      }   },   {     $group: {       "_id": "$status",       "count" : {         $sum: 1       }     }   } ])

what display data every day within date range, if there no data.

so example, result may end this:

[{  '_id' : '01-15-2015',   status_counts: {     'active': 15,     'inactive': 25,     'removed': 2   } }, {  '_id' : '01-16-2015',   status_counts: {     'active': 0,     'inactive': 0,     'removed': 0   } }, {  '_id' : '01-17-2015',   status_counts: {     'active': 25,     'inactive': 5,     'removed': 1   } }]

any ideas how go doing this? summing statuses , grouped day, if no data there, include default data zeroed out?

example data:

[{     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "active",     "created" : isodate("2015-10-11t17:25:46.843z") }, {     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "inactive",     "created" : isodate("2015-10-12t17:25:46.843z") }, {     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "removed",     "created" : isodate("2015-10-12t17:25:46.843z") }, {     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "active",     "created" : isodate("2015-10-14t17:25:46.843z") }, {     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "active",     "created" : isodate("2015-10-14t17:25:46.843z") }, {     "_id" : objectid("55413bc29d41675785bf7ed2"),     "status" : "active",     "created" : isodate("2015-10-17t17:25:46.843z") }]

example result: 

[{     "_id":"10-11-2015",     "status_counts": {         "active":1,         "inactive":0,         "removed":0     } }, {     "_id":"10-12-2015",     "status_counts": {         "active":0,         "inactive":1,         "removed":1     } }, {     "_id":"10-13-2015",     "status_counts": {         "active":0,         "inactive":0,         "removed":0     } }, {     "_id":"10-14-2015",     "status_counts": {         "active":2,         "inactive":0,         "removed":0     } }, {     "_id":"10-15-2015",     "status_counts": {         "active":0,         "inactive":0,         "removed":0     } }, {     "_id":"10-16-2015",     "status_counts": {         "active":0,         "inactive":0,         "removed":0     } }, {     "_id":"10-17-2015",     "status_counts": {         "active":1,         "inactive":0,         "removed":0     } }]

use following pipeline pipeline $project stage creates document new property composed month-day-year using date aggregation operators , string operators $concat, $subtr operators string manipulation. can use new property in preceding $group pipeline step group key , obtain respective status counts using $cond operator evaluate status type , assign value $sum. closing $project pipeline stage reshapes final documents provide needed fields within subdocument:

user.aggregate([     {         "$match": {             "created": { "$gt": startdate, "$lt": enddate }          }     },     {         "$project": {            "_id": 0, "status": 1,            "daypart": {                 "$concat" : [                      {                         "$substr": [ {"$month" : "$created"}, 0, 2 ]                     }, "-",                     {                         "$substr": [ {"$dayofmonth" : "$created"}, 0, 2 ]                     }, "-",                     {                          "$substr": [ {"$year" : "$created"}, 0, 4 ]                     }                 ]             }         }     },     {          "$group": {              "_id": "$daypart",                          "active_count": {                 "$sum": {                     "$cond": [ { "$eq": [ "$status", "active" ] }, 1, 0 ]                 }             },             "inactive_count": {                 "$sum": {                     "$cond": [ { "$eq": [ "$status", "inactive" ] }, 1, 0 ]                 }             },             "removed_count": {                 "$sum": {                     "$cond": [ { "$eq": [ "$status", "removed" ] }, 1, 0 ]                 }             }                     }       },     {         "$project": {                         "status_counts": {                 "active": "$active_count",                 "inactive": "$inactive_count",                 "removed": "$removed_count"             }         }     } ])

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