Posted on Aug 14
MongoDB: A Beginner’s Guide
MongoDB is a flexible and scalable powerful database tool which has gained much attention among developers in the database world. It is used instead of the classical relational database management systems for storing large amounts of unordered or partially ordered information. This is a beginners guide and will give an overview of MongoDB, what it can do and how to begin using one of the most popular NoSQL databases currently in use today.
What is MongoDB?
MongoDB is one of the most popular NoSQL DBMS that applies the document-oriented data model. Unlike most of the traditional databases that employ tables with their rows and columns, MongoDB employs documents which are in the BSON format but with JSON resemblance. These documents are presented in sets of collections, and these can be likened to tables of a relational database.
MongoDB was created in 2007 by 10gen which is now MongoDB Inc. and was designed to be the solution to the problems with relational databases. It is to scale horizontally, hence as the data increases, it expands to more servers and requires a lot of memory. Therefore, MongoDB as an open-source database supports multiple programming languages that makes it convenient for developers.
Key Aspects of MongoDB
Document-Oriented Storage: The structure of data in MongoDB is in documents which are like JSON objects. Every document is a set of parameters that are labeled with values and documents are organized in collections. Unlike the case with relational databases, this structure is highly flexible compared to the rigid schema of that database type.
Schema Flexibility: Unlike other traditional databases, MongoDB does not impose the need to define a structure of the data you want to store. It means that you can group related fields in one collection, while other fields will be stored in other collections. This type of flexibility can be very valuable, especially when working with data models that change over time.
Indexing: MongoDB permits various methods of indexing to enhance the performance of queries on the documents. MongoDB allows you to create indexes on any fields in a document and compound indexes, geospatial indexes, and text search indexes.
Aggregation Framework: MongoDB has a rich set of operations for processing data and performing various queries known as aggregation framework. It lets you filter, sort, group and transform data in one way or the other depending on your needs.
Replication and High Availability: MongoDB employs replica sets to enhance availability and data backup. A replica set is a collection of MongoDB instances which contain the similar data set and in case of hardware or network failure, it provides an automatic switch.
Getting Started with MongoDB (Basic Concepts, Installation, and Setup)
Basic Concepts
Database: A physical container to put collections in. Different databases are associated with different files on the file system.
Collection: A set of MongoDB documents. A collection is similar to a table in a relational database or in other database style systems.
Document: An item in a catalog, expressed in BSON. It has fields that are in the form of pairs of keys and values and can contain other documents.
Installation
Download MongoDB: Open the official MongoDB website and click on the link that says download and then select the OS that you are using Windows, MacOS or Linux.
Install MongoDB: When the installation package is downloaded, the information on installation for the particular operating system will be available. This normally involves downloading an installer on Windows, Homebrew for macOs, or the packages’ manager on Linux.
Start MongoDB: Lastly, to communicate with your database start MongoDB server which is known as mongod after installation.
Setup
Access the MongoDB Shell
Accessing the MongoDB Shell can be done using the mongo command, allowing you to start issuing commands to interact with your databases.
Create a Database
To start a new database or work on an existing one, simply use the command use <database_name>.
Create a Collection
Creating a collection in your database can be achieved by using the command db.createCollection('<collection_name>').
Insert Documents
Placing documents into your collection is possible by using the db.<collection_name>.insertOne({<key>: <value>, ...}) command function.
Query Documents
Retrieving documents from your collection based on specific criteria can be done using the db.<collection_name>.find({<query>}) command.
Update Documents
For updating documents in your collection, you can use the db.<collection_name>.updateOne({<query>}, {$set: {<key>: <value>}}) command. This command requires you to point out the document in the collection to be updated based on a specific ID and the changed fields.
Delete Documents
Deleting documents from your collection can be done using the db.<collection_name>.deleteOne({<query>}) command. It is important to use the specific single document removal operation.
Where to Use MongoDB?
- Mobile and Social Infrastructure
- Data Hub
- Previous Pag
- Big Data
- User Data Management
- Content Management and Delivery
Advantages of Using MongoDB
1. Scalability: MongoDB is horizontally scalable, which implies that one can expand the MongoDB database horizontally as and when the number of data and users rise with ease.
2. Flexibility: MongoDB does not have a fixed structure of a database; it gives you the freedom that you can alter the structure of a database during the development process easily.
3. High Performance: MongoDB has many desirable features like Indexing, Sharding, Replication which enable it to offer superior performance to the users in the context of data acquisition and management.
4. Ease of Use: MongoDB is relatively easy to work with because of its query language and capabilities, as well as its flexible data model no matter if you are an experienced programmer or you are new to database management.
In conclusion, MongoDB is a flexible and scalable NoSQL database that empowers developers to handle complex data structures efficiently. In this way, knowing the ideas behind MongoDB and basic operations, you can use the features of MongoDB for creating solid applications. When starting your MongoDB experience, do not shy away from the vast documentation and reach out to the MongoDB community for assistance.
Remote Jobs for MongoDB
Y
IT / Telecommunication Services Company
Senior Backend Engineer (NodeJS)Alexandria, Egypt / Johannesburg, South Africa / Lagos, Nigeria / Nairobi, Kenya / Turkey / Dakar, S
Nov 14
N
Internet Software & Services Company
Full Stack DeveloperWorldwide REMOTEFull Stack Engineer About the Role We are seeking an experienced Full Stack Eng
Nov 14
C
IT / Telecommunication Services Company
Senior Data Architect/ ModelerLagos, Nigeria We Are Setting The PaceWe are a world-class Chat Commerce company, ambitious to
Nov 13
B
IT / Telecommunication Services Company
Senior Data Architectremote TELECOMMUTE Cairo, Al Qāhirah, Egypt As a Senior Data Engineer/Architect, you will play
Nov 08
B
IT / Telecommunication Services Company
Senior Full Stack Developerremote TELECOMMUTE Egypt A dynamic and innovative technology firm is on the lookout for a Senio
Nov 08
Related Resources