Using Aggregation Pipeline to Fetch Records in MongoDB

The MongoDB aggregation pipeline has stages. Each stage transforms the documents as they pass through the pipeline.

Let us first create a collection with documents −

> db.demo218.insertOne({"Name":"Chris","Branch":"CS",Marks:[65,78,36,90]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e3e5f4903d395bdc2134712")
}
> db.demo218.insertOne({"Name":"David","Branch":"ME",Marks:[56,45,42,51]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e3e5f6203d395bdc2134713")
}
> db.demo218.insertOne({"Name":"Chris","Branch":"CS",Marks:[78,65,89]});
{
   "acknowledged" : true,
   "insertedId" : ObjectId("5e3e5f6c03d395bdc2134714")
}

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

> db.demo218.find();

This will produce the following output −

{ "_id" : ObjectId("5e3e5f4903d395bdc2134712"), "Name" : "Chris", "Branch" : "CS", "Marks" : [ 65, 78, 36, 90 ] }
{ "_id" : ObjectId("5e3e5f6203d395bdc2134713"), "Name" : "David", "Branch" : "ME", "Marks" : [ 56, 45, 42, 51 ] }
{ "_id" : ObjectId("5e3e5f6c03d395bdc2134714"), "Name" : "Chris", "Branch" : "CS", "Marks" : [ 78, 65, 89 ] }

Following is the query for aggregation pipeline −

> db.demo218.aggregate([
...   { "$unwind": "$Marks" },
...   { "$match":
...      {
...         "Branch": "CS",
...         "Marks": { "$gt": 88 }
...      }
...   },
...   { "$group":
...      {
...         "_id": "$_id",
...         "Branch": { "$first": "$Branch" },
...         "Marks": { "$first": "$Marks" }
...      }
...   }
...])

This will produce the following output −

{ "_id" : ObjectId("5e3e5f6c03d395bdc2134714"), "Branch" : "CS", "Marks" : 89 }
{ "_id" : ObjectId("5e3e5f4903d395bdc2134712"), "Branch" : "CS", "Marks" : 90 }