javascript - What's wrong with this mongoskin aggregation command? -


i have mongodb/mongoskin aggregation request follows:

db.collection(customertable + '_earnedinfluencers').aggregate([     {         $group: {             _id: '$user',             name: '', // filled separately             username: '', // filled separately              picture: '', // filled separately             city: '', // filled separately             kids: { $sum: '$kids' },             revenue: { $sum: '$dayincome' },             kidsrevratio: { $divide: [ { $sum: '$kids' }, { $sum: '$dayincome' } ] }         },           $match: {             richness: { $gte: variable1 },             kids: { $lt: variable2 },             hobbies: { $in: ['hobby1', 'hobby2', 'hobby3', 'hobby4'] },             event: { $in: schoolfestival },             event: { $ne: 0 }         },          $project: {             _id: 0,             user: '$_id',             name: 1,             username: 1,             picture: 1,             city: 1,             kids: 1,             revenue: 1,             kidsrevratio: 1         }     } ], function(err, result) {     // err , result });

the above code gives following error: 

error: {"name":"mongoerror","errmsg":"exception: pipeline stage specification object must contain 1 field.","code":16435,"ok":0}

i'm new mongo , db in general, , can't tell did wrong.

your pipeline arguments unbalanced, each stage separate document need wrap each one. there number of other problems

db.collection(customertable + '_earnedinfluencers').aggregate([      { $match: {             richness: { $gte: variable1 },             kids: { $lt: variable2 },             hobbies: { $in: ['hobby1', 'hobby2', 'hobby3', 'hobby4'] },             event: { $in: schoolfestival },     }},      { $group: {             _id: '$user',             name: { '$first': '$name' },             username: { '$first': '$username' },             picture: { '$first': '$picture' },             city: { '$first': '$city' }             kids: { '$sum': '$kids' },             revenue: { '$sum': '$dayincome' },             kidssum: { '$sum': '$kids' },     }},        { $project: {             _id: 0,             user: '$_id',             name: 1,             username: 1,             picture: 1,             city: 1,             revenue: 1,             kidssum: 1,             kidsrevratio: { $divide: [ '$kidssum', '$revenue' ] }     }} ], function(err, result) {     // err , result });

you had whole pipeline one document in fact requires array of documents shown.

but want $match first in order filter results. if want additional matching after group add in additional match pipeline afterwards.

the $group operation requires fields outside of _id grouping key need have "grouping operator" cannot fields own unless part of _id group on. typically want operator such $first or otherwise omit them completely.

top level grouping operators only, operations $divide not grouping operator. in order to sort of thing when working 1 or more $sum results move later $project using fields calculated values.

also operations project , group, "removes" fields pipeline , preserves include. cannot specify field not there. 1 reason why $match comes first can use index, , ever @ start of pipeline can done.

but each stage fields present mentioned. further optimization "optimizer" start not include fields present in document not mentioned. referenced in first match , group stages combined included rest of pipline stages, , possibly filtered down again.


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