Fetch documents from collection in MongoDB

Description

In this page, we are going to discuss how to fetches data from a collection in MongoDB.

Our database name is 'myinfo' and our collection name is 'userdetails'. Here, inserting one more record.

>db.userdetails.insert({"user_id" : "user1","password" :"1a2b3c" ,"date_of_join" : "16/10/2010" ,"education" :"M.C.A." , "profession" : "CONSULTANT","interest" : "MUSIC","community_name" :["MODERN MUSIC", "CLASSICAL MUSIC","WESTERN MUSIC"],"community_moder_id" : ["MR. Alex","MR. Dang","MR Haris"],"community_members" : [700,200,1500],"friends_id" : ["kumar","harry","anand"],"ban_friends_id" :["Amir","Raja","mont"]});

> db.userdetails.insert({"user_id" : "user2","password" :"11aa1a" ,"date_of_join" : "17/10/2009" ,"education" :"M.B.A." , "profession" : "MARKETING","interest" : "MUSIC","community_name" :["MODERN MUSIC", "CLASSICAL MUSIC","WESTERN MUSIC"],"community_moder_id" : ["MR. Roy","MR. Das","MR Doglus"],"community_members" : [500,300,1400],"friends_id" : ["pal","viki","john"],"ban_friends_id" :["jalan","monoj","evan"]});

> db.userdetails.insert({"user_id" : "user3","password" :"b1c1d1" ,"date_of_join" : "16/10/2010" ,"education" :"M.C.A." , "profession" : "IT COR.","interest" : "ART","community_name" :["MODERN ART", "CLASSICAL ART","WESTERN ART"],"community_moder_id" : ["MR. Rifel","MR. Sarma","MR Bhatia"],"community_members" : [5000,2000,1500],"friends_id" : ["philip","anant","alan"],"ban_friends_id" :["Amir","Raja","mont"]});

> db.userdetails.insert({"user_id" : "user4","password" :"abczyx" ,"date_of_join" : "17/8/2009" ,"education" :"M.B.B.S." , "profession" : "DOCTOR","interest" : "SPORTS","community_name" :["ATHELATIC", "GAMES FAN GYES","FAVOURIT GAMES"],"community_moder_id" : ["MR. Paul","MR. Das","MR Doglus"],"community_members" : [2500,2200,3500],"friends_id" : ["vinod","viki","john"],"ban_friends_id" :["jalan","monoj","evan"]});

Fetch all data from the collection

If we want to fetch all documents from the collection the following mongodb command can be used :

>db.userdetails.find();
or
>db.userdetails.find().pretty();

N.B. find() method displays the documents in a non structured format but to display the results in a formatted way, the pretty() method can be used.

The SQL equivalent code is

SELECT * FROM userdetails; 

Output:

{
        "_id" : ObjectId("528cab88e1e41035b889f2bf"),
        "user_id" : "user1",
        "password" : "1a2b3c",
        "date_of_join" : "16/10/2010",
        "education" : "M.C.A.",
        "profession" : "CONSULTANT",
        "interest" : "MUSIC",
        "community_name" : [
                "MODERN MUSIC",
                "CLASSICAL MUSIC",
                "WESTERN MUSIC"
        ],
        "community_moder_id" : [
                "MR. Alex",
                "MR. Dang",
                "MR Haris"
        ],
        "community_members" : [
                700,
                200,
                1500
        ],
        "friends_id" : [
                "kumar",
                "harry",
                "anand"
        ],
        "ban_friends_id" : [
                "Amir",
                "Raja",
                "mont"
        ]
}
{
        "_id" : ObjectId("528cabb5e1e41035b889f2c0"),
        "user_id" : "user2",
        "password" : "11aa1a",
        "date_of_join" : "17/10/2009",
        "education" : "M.B.A.",
        "profession" : "MARKETING",
        "interest" : "MUSIC",
        "community_name" : [
                "MODERN MUSIC",
                "CLASSICAL MUSIC",
                "WESTERN MUSIC"
        ],
        "community_moder_id" : [
                "MR. Roy",
                "MR. Das",
                "MR Doglus"
        ],
        "community_members" : [
                500,
                300,
                1400
        ],
        "friends_id" : [
                "pal",
                "viki",
                "john"
        ],
        "ban_friends_id" : [
                "jalan",
                "monoj",
                "evan"
        ]
}
{
        "_id" : ObjectId("528cabd0e1e41035b889f2c1"),
        "user_id" : "user3",
        "password" : "b1c1d1",
        "date_of_join" : "16/10/2010",
        "education" : "M.C.A.",
        "profession" : "IT COR.",
        "interest" : "ART",
        "community_name" : [
                "MODERN ART",
                "CLASSICAL ART",
                "WESTERN ART"
        ],
        "community_moder_id" : [
                "MR. Rifel",
                "MR. Sarma",
                "MR Bhatia"
        ],
        "community_members" : [
                5000,
                2000,
                1500
        ],
        "friends_id" : [
                "philip",
                "anant",
                "alan"
        ],
        "ban_friends_id" : [
                "Amir",
                "Raja",
                "mont"
        ]
}
{
        "_id" : ObjectId("528cabece1e41035b889f2c2"),
        "user_id" : "user4",
        "password" : "abczyx",
        "date_of_join" : "17/8/2009",
        "education" : "M.B.B.S.",
        "profession" : "DOCTOR",
        "interest" : "SPORTS",
        "community_name" : [
                "ATHELATIC",
                "GAMES FAN GYES",
                "FAVOURIT GAMES"
        ],
        "community_moder_id" : [
                "MR. Paul",
                "MR. Das",
                "MR Doglus"
        ],
        "community_members" : [
                2500,
                2200,
                3500
        ],
        "friends_id" : [
                "vinod",
                "viki",
                "john"
        ],
        "ban_friends_id" : [
                "jalan",
                "monoj",
                "evan"
        ]
}

Document written in command prompt

Fetch documents from collection based on a criteria

If we want to fetch all documents from the collection 'userdetails' which hold the educational qualification "M.C.A.", the following mongodb command can be used

 > db.userdetails.find({"education":"M.C.A."}).pretty();

N.B. find() method displays the documents in a non structured format but to display the results in a formatted way, the pretty() method can be used.

The SQL equivalent code is

SELECT * 
FROM userdetails 
WHERE education="M.C.A."; 

Output:

{
        "_id" : ObjectId("528cab88e1e41035b889f2bf"),
        "user_id" : "user1",
        "password" : "1a2b3c",
        "date_of_join" : "16/10/2010",
        "education" : "M.C.A.",
        "profession" : "CONSULTANT",
        "interest" : "MUSIC",
        "community_name" : [
                "MODERN MUSIC",
                "CLASSICAL MUSIC",
                "WESTERN MUSIC"
        ],
        "community_moder_id" : [
                "MR. Alex",
                "MR. Dang",
                "MR Haris"
        ],
        "community_members" : [
                700,
                200,
                1500
        ],
        "friends_id" : [
                "kumar",
                "harry",
                "anand"
        ],
        "ban_friends_id" : [
                "Amir",
                "Raja",
                "mont"
        ]
}
{
        "_id" : ObjectId("528cabd0e1e41035b889f2c1"),
        "user_id" : "user3",
        "password" : "b1c1d1",
        "date_of_join" : "16/10/2010",
        "education" : "M.C.A.",
        "profession" : "IT COR.",
        "interest" : "ART",
        "community_name" : [
                "MODERN ART",
                "CLASSICAL ART",
                "WESTERN ART"
        ],
        "community_moder_id" : [
                "MR. Rifel",
                "MR. Sarma",
                "MR Bhatia"
        ],
        "community_members" : [
                5000,
                2000,
                1500
        ],
        "friends_id" : [
                "philip",
                "anant",
                "alan"
        ],
        "ban_friends_id" : [
                "Amir",
                "Raja",
                "mont"
        ]
}

Document written in command prompt

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