I have mongo query which does the group operation on the documents.

I have almost got the expected results except that I want to refine the results without empty or null values.

Currently my query looks like this:

db.productMetadata.aggregate([{$group:{"_id":{"color":"$productAttribute.colour","gender":"$productAttribute.gender"},"count" : {$sum : 1}}}]);

And the results looks something like this:

{ "_id" : { "color" : "BLUE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : {  }, "count" : 4 }
{ "_id" : { "color" : "NA", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BLACK", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "gender" : "MEN" }, "count" : 2 }
{ "_id" : { "color" : "BEIGE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "MEN" }, "count" : 1 }

I want to remove the rows if any of the group by field values are empty or null in the actual data of DB.

Excepted results should look something like this:

{ "_id" : { "color" : "BLUE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "NA", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BLACK", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "WOMEN" }, "count" : 1 }
{ "_id" : { "color" : "BEIGE", "gender" : "MEN" }, "count" : 1 }
{ "_id" : { "color" : "BROWN", "gender" : "MEN" }, "count" : 1 }

You need an extra $match pipeline step that will filter the incoming documents based on the embedded field "$productAttribute.colour" existing and not null:

db.productMetadata.aggregate([
    { $match: {
        "productAttribute.colour": { 
            $exists: true, 
            $ne: null 
        }
    } },
    { $group: {
        _id: {
           color: "$productAttribute.colour",
           gender: "$productAttribute.gender"
        },
        count: { $sum: 1 }
    } }        
]);