How to Install MongoDB on CentOS 8 (Community Edition Tutorial). In this article, we will introduce MongoDB, its features, benefits, and then we will move on to the installation of its Community Edition on CentOS 8.
MongoDB server is an open source NoSQL database that has been gaining popularity in recent years. It is a cross platform document oriented database program. It can be used on different platforms and languages like Perl, Java, C++, Ruby, Python, etc.
MongoDB is an open source NoSQL database management program, which is an alternative to traditional relational databases. It is a tool that you can use to manage, store and retrieve document oriented information.
It is primarily preferred by organizations working with large sets of data. It is because it is capable of supporting various forms of databases.
Rosed in the mid 2000s under the NoSQL banner, it immediately grabbed the attention of the user as big data applications and other processing jobs involving data fit well in this model. Their architecture comprises collections and documents rather than tables and rows.
MongoDB is a document database with the scalability and flexibility that provides the following features:
Every database constitutes collections that, in turn, contain documents. These documents differ in the varying number of fields as well as their size and content.
In MongoDB, the rows do not require schema content beforehand. Here, you can create fields on the fly.
It offers scalability, which means that companies all across the world have clusters with hundred plus nodes run in the database.
It has a more in line document structure that helps developers construct their classes and objects in their respective programming languages.
Its data model allows you to represent hierarchical relationships to store arrays and other more complex structures very effortlessly.
MongoDB offers several benefits that are as follows:
Complete Cloud Based Application Data Platform
MongoDB is a lot more than a database. It is a complete cloud based application that provides MongoDB Atlas, where you can access a collection of services. They are integrated nicely with the database. Among other things, you will also have Performace Advisor, Atlas Search, MongoDB Charts, Multi cloud deployments, etc.
Highly Supportive And Provide Code Native Access
Several databases force you to use heavy wrappers, like ORMs (Object Relational Mappers) to get data into object form to use in a program. Since MongoDB stores and represent data in a document format, you can access it from any language.
Sturdy Querying And Analytics
With MongoDB you can access data with ease. It also rarely requires any joins and transactions. However, it is more than the task in terms of complex querying. With its query API, you can query deep into documents and also perform complex analytics pipelines.
Sharding
Sharding in MongoDB is a method for distributing data across multiple machines.
High Performace
The document model used by MongoDB embeds information inside a single document. This way, you don’t have to rely on expensive join operations from a traditional relational database. By doing so, the queries became much faster and returns all the necessary information in a single call to the database.
Cost Effective
MongoDB provides several flexible approaches. When you use the cloud based MongoDB Altas, it enables you to choose the size of an instance that goes well with your needs. Here, you can also adjust your cluster to automatically scale if required. It helps you to keep your cost at a minimum while still providing the flexibility to handle instant traffic bursts.
Flexible Document Schemas
The document model of MongoDB enables you to model and manipulate any data structure virtually. It supports creating explicit schemas and validating data. Its flexibility is considered an incredible asset for handling real world data and changes in requirements or environments.
User Friendly Design
If you are used to bringing down your site or application to change the structure of the data, MongoDB is the best option. MongoDB does not require any downtime to change schemas. You can start writing new data in it at any time without disrupting its operations.
Effortless Horizontal Scale Out With Sharding
MongoDB is designed to be a distributed database. You can create clusters with real time replications and shard high throughput collections in multiple clusters. This way, you will be able to sustain your performance and scale horizontally.
In this post, we will show you how to install MongoDB on CentOS 8.
By default, the MongoDB package is not included in the CentOS 8 default repo. So you will need to create a repo for MongoDB. You can create it with the following command:
By default, user authentication is not configured in MongoDB. For security reasons, it is essential to enable the authentication and set an admin password for MongoDB.
First, connect to the MongoDB console using the following command:
mongo
Once you are connected to MongoDB shell, you should see the following shell:
MongoDB shell version v4.4.14
connecting to: mongodb://127.0.0.1:27017/?compressors=disabled&gssapiServiceName=mongodb
Implicit session: session { "id" : UUID("f4667c8e-e11a-4575-9ecc-1f252d0515a0") }
MongoDB server version: 4.4.14
Welcome to the MongoDB shell.
For interactive help, type "help".
For more comprehensive documentation, see
https://docs.mongodb.com/
Questions? Try the MongoDB Developer Community Forums
https://community.mongodb.com
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Next, switch the database to admin using the following command:
use admin
Next, create an admin user and set a password with the following command:
How to Install MongoDB on CentOS 8 (Community Edition Tutorial) Conclusion
In this guide, we explained how to install MongoDB Community Edition on CentOS 8. Due to its simplicity and flexibility, robust features and native read/write interface for JavaScript, MongoDB is gaining more and more popularity among web developers. MongoDB has grown largely from the level of being a simple JSON data store to now the most popular NoSQL database solution.
I am a fan of open source technology and have more than 10 years of experience working with Linux and Open Source technologies. I am one of the Linux technical writers for Cloud Infrastructure Services.
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