Vous n'avez pas publié votre structure de document initiale.
Document Structure:
{
"_id" : ObjectId("50b59cd75bed76f46522c471"),
"comment_id" : 61,
"post_id" : 29,
"comments" : [
{
"type" : "accepted",
"like" : 3
},
{
"type" : "rejected",
"like" : 3
},
{
"type" : "spam",
"like" : 3
}
]
}
En supposant la structure de votre document comme ci-dessus, j'ai composé cette requête. Vous devez le manipuler selon vos besoins.
db.posts.aggregate([
{$unwind:"$comments"},
{$match:{"$comments.type":{$ne:"spam"}}},
{$group:{_id:{post_id:"$post_id",comment_id:"$comment_id"},LikeSum:{$sum:"$comments.like"}}},
{$group:{_id:{post_id:"$_id.post_id"},AvgComments:{$avg:"$LikeSum"}}},
{$sort:{AvgComments:-1}},
{$limit:1}
])
La requête ci-dessus est construite comme suit :
1.) Unwind the comments array and form individual documents for each element in the comments array
2.) Select only the non-spam comments
3.) Calculate the sum of likes for each comment of all posts
4.) Calculate the average Comment likes for each post
5.) Sort documents in descending order of Average Comment Likes
6.) Select only the first document.
Le document de sortie ressemblera à
{
"result" : [
{
"_id" : {
"post_id" : xx
},
"AvgComments" : xx.xx // Avg Comment likes for post xx
}
],
"ok" : 1
}
