MongoDB query to count the frequency of every element of the array

MongoDBDatabaseBig Data Analytics

To count, you can also use aggregate() along with $sum. Let us create a collection with documents −

> db.demo184.insertOne({"Names":["Chris","David","Bob"]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e3999fb9e4f06af55199805")
}
> db.demo184.insertOne({"Names":["Chris","Mike"]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e399a0d9e4f06af55199806")
}
> db.demo184.insertOne({"Names":["Chris","Bob","Carol"]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e399a209e4f06af55199807")
}

Display all documents from a collection with the help of find() method −

> db.demo184.find();

This will produce the following output −

{ "_id" : ObjectId("5e3999fb9e4f06af55199805"), "Names" : [ "Chris", "David", "Bob" ] }
{ "_id" : ObjectId("5e399a0d9e4f06af55199806"), "Names" : [ "Chris", "Mike" ] }
{ "_id" : ObjectId("5e399a209e4f06af55199807"), "Names" : [ "Chris", "Bob", "Carol" ] }

Following is the query to count the frequency of every element −

> db.demo184.aggregate([
...   { "$unwind" : "$Names" },
...   { "$group": { "_id": "$Names", "count": { "$sum": 1} } },
...   { "$group": {
...      "_id": null,
...         "counts": {
...            "$push": {
...               "k": "$_id",
...               "v": "$count"
...            }
...         }
...      } },
...      { "$replaceRoot": {
...         "newRoot": { "$arrayToObject": "$counts" }
...   } }
...])

This will produce the following output −

{ "Carol" : 1, "David" : 1, "Chris" : 3, "Bob" : 2, "Mike" : 1 }
raja
Published on 27-Mar-2020 08:05:16
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