Using MongoDB with Web API and ASP.NET Core

MongoDB is a NoSQL document-oriented database that allows you to define JSON based documents which are schema independent. The schema can be mapped with Tables in a Relational Database. A schema in MongoDB is called as collection, and a record in this schema is called as document

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In open source modern web applications, the use of a NoSQL database is gaining popularity due to its non-relational behavior. In this demo, we will create a Web API using ASP.NET Core which will perform CRUD Operations on a collection. The following diagram explains the implementation of the application.

The advantage of a Web API is that it can be used as HTTP services and can be subscribed by any client application ranging from Desktop to Mobiles. Using Web API as a medium, these client apps can easily interact with a NoSQL database like MongoDB.

Web API and MongoDB - The Implementation

We need MongoDB for creating collections and storing documents in it. MongoDB can be downloaded from this link. Install the database. Once the installation is over, the system drive will create a MongoDB folder in the following path

C:\Program Files\MongoDB

We also need to create a data folder where the data will be stored. On my machine I have created E:\MongoDbData\data

Open the Command prompt and navigate to the following folder

C:\Program Files\MongoDB\Server\3.2\bin

and run the command as shown in the following image

This will connect to MongoDB on port 27017.

Open another instance of the command prompt and navigate to the bin folder and run the following command

This will connect to the default test database. Run the following command on > (command prompt)

> use EmployeeDB

This will create a database of name EmployeeDB if it does not exist already, else it will be opened for transactions if the database already exists. In this database we can create transaction using the following command

db.createCollection('Products')

The Schema for the Products collection can be defined using following command from the command prompt

db.Products.insert({'ProductId':1,'ProductName':'Desktop All in One','Price':43000,'Category':'Electronics'})

Run the following command

>db.Products.find({})

The following result will be displayed

The schema will add _id property. This property will be an ObjectId which will be generated automatically.

Now since the database and collection is ready, we can create a Web API application. Please visit this link to read about creating Web API using MVC 6.

Creating the MongoDB Application

We will be using Visual Studio 2015 for creating this application. We need to install ASP.NET Core which can be downloaded from this link.

Step 1: Open Visual studio and create a new ASP.NET Web Application as shown in the following image

Name this application as MVC6_WEBAPI_MongoDB. Click on the OK button which will open the following window which shows ASP.NET Templates. Select Web API as shown in the following image

This will create a Web API project.

Step 2: Open the project.json file and in the dependencies section, add the following package dependency:

"mongocsharpdriver": "2.3.0"

Save the project and the Mongo CSharp driver will be installed for the project.

Step 3: In the project add the Models folder, in this add a new class file of name Product.cs. Add the following code in this file

using MongoDB.Bson;

using MongoDB.Bson.Serialization.Attributes;

 

namespace MVC6_WEBAPI_MongoDB.Models

{

    public class Product

    {

        public ObjectId Id { get; set; }

        [BsonElement("ProductId")]

        public int ProductId { get; set; }

        [BsonElement("ProductName")]

        public string ProductName { get; set; }

        [BsonElement("Price")]

        public int Price { get; set; }

        [BsonElement("Category")]

        public string Category { get; set; }

    }

}

The class contains Id property of the type ObjectId. This property is mandatory so that the CLR object can be mapped with Collection in MongoDB. The class contains properties having the BsonElement attribute applied on it. This represent the mapped property with the MongoDB collection.

Step 3: Add the DataAccess.cs class file in the Models folder with the following code in it

using MongoDB.Bson;

using MongoDB.Driver;

using MongoDB.Driver.Builders;

using System.Collections.Generic;

 

namespace MVC6_WEBAPI_MongoDB.Models

{

    public class DataAccess

    {

        MongoClient _client;

        MongoServer _server;

        MongoDatabase _db;

 

        public DataAccess()

        {

            _client = new MongoClient("mongodb://localhost:27017");

            _server = _client.GetServer();

            _db = _server.GetDatabase("EmployeeDB");     

        }

 

        public IEnumerable<Product> GetProducts()

        {

            return _db.GetCollection<Product>("Products").FindAll();

        }

 

 

        public Product GetProduct(ObjectId id)

        {

            var res = Query<Product>.EQ(p=>p.Id,id);

            return _db.GetCollection<Product>("Products").FindOne(res);

        }

 

        public Product Create(Product p)

        {

            _db.GetCollection<Product>("Products").Save(p);

            return p;

        }

 

        public void Update(ObjectId id,Product p)

        {

            p.Id = id;

            var res = Query<Product>.EQ(pd => pd.Id,id);

            var operation = Update<Product>.Replace(p);

            _db.GetCollection<Product>("Products").Update(res,operation);

        }

        public void Remove(ObjectId id)

        {

            var res = Query<Product>.EQ(e => e.Id, id);

            var operation = _db.GetCollection<Product>("Products").Remove(res);

        }

    }

}

The above code uses the following classes:

MongoServer - This represents an instance of the MongoDB Server.

MongoClient - This class is used to read the server instance for performing operations on the database. The constructor of this class is passed with the MongoDB Connection string as shown in the following box

"mongodb://localhost:27017"

MongoDatabase - This represents Mongo Database for performing operations. This class provides following methods

• GetCollection<T>(collection)
• · T is the CLR object to be collection.
• · This returns MongoCollection.
• Methods
• FindAll() - Returns all documents in collection()
• FindOne() - Returns a single document based on Mongo Query object generated based on _id.
• Save() - Save a new document in collection.
• Update() - Update a document.
• Remove() - Remove a document.

The above code uses all these methods for performing CRUD operations.

Step 4: We will register the DataAccess class in the Dependency Injection feature provided by the ASP.NET Core. To do this open the Start.cs file and add the following line in ConfigureServices() method

public void ConfigureServices(IServiceCollection services)

{

    services.AddTransient<DataAccess>();

    services.AddMvc();

}

Step 5: In the Controllers folder, add a new Web API Controller class of name ProductAPIController as shown in the following image

In this class add the following code

using System.Collections.Generic;

using Microsoft.AspNet.Mvc;

 

using MVC6_WEBAPI_MongoDB.Models;

using MongoDB.Bson;

 

namespace MVC6_WEBAPI_MongoDB.Controllers

{

    [Route("api/Product")]

    public class ProductAPIController : Controller

    {

        DataAccess objds;

 

        public ProductAPIController()

        {

            objds = d;

        }

 

        [HttpGet]

        public IEnumerable<Product> Get()

        {

            return objds.GetProducts();

        }

        [HttpGet("{id:length(24)}")]

        public IActionResult Get(string id)

        {

            var product = objds.GetProduct(new ObjectId(id));

            if (product == null)

            {

                return NotFound();

            }

            return new ObjectResult(product);

        }

 

        [HttpPost]

        public IActionResult Post([FromBody]Product p)

        {

            objds.Create(p);

            return new HttpOkObjectResult(p);

        }

        [HttpPut("{id:length(24)}")]

        public IActionResult Put(string id, [FromBody]Product p)

        {

            var recId = new ObjectId(id);

            var product = objds.GetProduct(recId);

            if (product == null)

            {

                return HttpNotFound();

            }

            

            objds.Update(recId, p);

            return new OkResult();

        }

 

        [HttpDelete("{id:length(24)}")]

        public IActionResult Delete(string id)

        {

            var product = objds.GetProduct(new ObjectId(id));

            if (product == null)

            {

                return NotFound();

            }

 

            objds.Remove(product.Id);

            return new OkResult();

        }

    }

}

The above Web API class uses DataAccess class for performing CRUD operations. The Web API class contains GET, POST, PUT and DELETE methods for Http operations.

Step 5: Open the launchSettings.json in the Properties folder and add the following settings in it:

"profiles": {

    "IIS Express": {

      "commandName": "IISExpress",

      "launchBrowser": true,

      "launchUrl": "api/Product",

      "environmentVariables": {

        "Hosting:Environment": "Development"

      }

    }

This provides launchUrl to run the application in IIS Express.

Run the application in browser and the following result will be displayed:

To Test this we will make use of Fiddler tool. Open the fiddler tool and enter the following URL in it

Click on Execute button and the following result will be displayed

To Post the data, enter the following details in Fiddler

Click on Execute button and the data will be posted. Run the following command from the Mongo Command prompt

>db.Products.find({})

The following result will be displayed

Conclusion: Using Mongo C# Driver we can easily connect to the popular MongoDB database and perform CRUD operations. Using ASP.NET WebAPI,  MongoDB data can be easily made available to various client apps for storing and reading data.

Download the source code of this article (Github)