Sharding
Sharding is a database scaling technique that involves partitioning data across multiple database instances (shards) based on a key. This approach allows for distributing the workload and data storage across multiple servers, improving scalability and performance. Sharding is commonly used in environments where a single database server is unable to handle the load or storage requirements of the application.
For Example:
An online gaming company shards its user database based on geographic location, with each shard responsible for users in a specific region. This improves scalability by distributing the workload and data storage across multiple servers.
Database Replication in System Design
Database replication is a crucial concept in system design, especially for ensuring data availability, reliability, and scalability. It involves creating and maintaining multiple copies of a database across different servers to enhance performance and fault tolerance. In this article, we will delve into the fundamentals of database replication, its various types, and its importance in system design.
Important Topics for the Database Replication in System Design
- What is Database Replication?
- Why do we need Database Replication?
- Types of Database Replication
- Master-Slave Replication
- Master-Master Replication
- Snapshot Replication
- Transactional Replication
- Merge Replication
- Strategies for Database Replication
- Full Replication
- Partial Replication
- Selective Replication
- Sharding
- Hybrid Replication
- Configurations of Database Replication in System Design
- Synchronous Replication Configuration
- Asynchronous Replication Configuration
- Semi-synchronous Replication Configuration
- What Factors to consider when choosing a Replication Configuration?
- Benefits of Database Replication
- Challenges of Database Replication