Replication
Within a MongoDB cluster, data replication entails keeping several copies of the same data on various servers or nodes. Enhancing data availability and dependability is the main objective of data replication. A replica may seamlessly replace a failing server in the cluster to maintain service continuity and data integrity.
- Primary Node (Primary Replica): In a replica set, the primary node serves as the main source for all write operations. It’s the only node that accepts write requests. The main node is where all data modifications begin and are implemented initially.
- Secondary Nodes: Secondary nodes duplicate data from the primary node (also known as secondary replicas). They are useful for dispersing read workloads and load balancing since they are read-only and mostly utilized for read activities.
MongoDB Architecture
MongoDB is a popular NoSQL document-oriented database management system, known for its flexibility, high performance, high availability, and multi-storage engines. The term NoSQL means non-relational. It means that MongoDB isn’t based on a table-like relational database structure. It is used by Adobe, Uber, IBM, and Google. In this article, we will delve into the MongoDB architecture, exploring its key components and how they work together.