Design Microservices Architecture with Patterns and Principles - Database Sharding Pattern

The video tutorial explains the concept of sharding, which involves dividing a database into smaller, unique pieces called shards. This technique is used to improve scalability, performance, and availability in microservice architectures. Sharding allows for horizontal partitioning, balancing workloads, and enhancing data access efficiency. The tutorial also covers the role of partition keys in organizing data and the benefits of sharding, such as increased security and data measurement. Overall, sharding provides a high level of control over data distribution and is beneficial for managing large volumes of data.

What is the primary purpose of sharding in database systems?

• To delete unnecessary data

• To merge multiple databases into one

• To divide the database into smaller, manageable pieces

• To increase the size of the database

How does horizontal partitioning contribute to database scalability?

• By adding new shards as needed

• By reducing the number of shards

• By merging existing shards

• By deleting old data

What role do partition keys play in sharding?

• They determine the size of each shard

• They decide which data goes into each shard

• They merge data from different shards

• They delete outdated data

Which of the following is a benefit of using database sharding?

• Decreased data security

• Increased query performance

• Reduced data availability

• Increased data redundancy

How does sharding improve data security?

• By distributing data across multiple shards

• By encrypting all data

• By merging data into a single shard

• By deleting sensitive data