Assuming I have a collection called \"posts\" (in reality it is a more complex collection, posts is too simple) with the following structure:
> db.posts.f
$project to save tag and count into tmp$push or addToSet to store tmp into your data list.Code:
db.test.aggregate(
{$unwind: '$tags'},
{$group:{_id: '$tags', count:{$sum:1}}},
{$project:{tmp:{tag:'$_id', count:'$count'}}},
{$group:{_id:null, total:{$sum:1}, data:{$addToSet:'$tmp'}}}
)
Output:
{
"result" : [
{
"_id" : null,
"total" : 5,
"data" : [
{
"tag" : "SOME",
"count" : 1
},
{
"tag" : "RANDOM",
"count" : 2
},
{
"tag" : "TAGS1",
"count" : 1
},
{
"tag" : "TAGS",
"count" : 1
},
{
"tag" : "SOME1",
"count" : 1
}
]
}
],
"ok" : 1
}
I'm not sure you need the aggregation framework for this other than counting all the tags eg:
db.posts.aggregate(
{ "unwind" : "$tags" },
{ "group" : {
_id: { tag: "$tags" },
count: { $sum: 1 }
} }
);
For paginating through per tag you can just use the normal query syntax - like so:
db.posts.find({tags: "RANDOM"}).skip(10).limit(10)