How does Cassandra manage data replication and fault tolerance?
Cassandra achieves data replication and fault tolerance through its distributed architecture and replication strategy.
Initially, Cassandra is a distributed database system where data is stored across multiple nodes, each capable of independently processing query requests. This distributed architecture can enhance system throughput and scalability.
Secondly, Cassandra improves fault tolerance by replicating data. In a Cassandra cluster, each piece of data is replicated to multiple nodes, typically across multiple data centers to increase data availability and fault tolerance. When a node fails, clients can retrieve data from other nodes to ensure system availability.
Furthermore, Cassandra also offers support for various replication strategies, such as network topology strategy and data center topology strategy. These strategies can be configured according to different needs to flexibly control data replication and fault tolerance behavior.
In summary, Cassandra achieves data replication and fault tolerance through its distributed architecture and flexible replication strategies, ensuring high availability and data consistency in the face of node failures or other abnormal situations.