Availability, Consistency, and Partitioning in Redis
Here’s a brief overview of how Redis handles availability, consistency, and partitioning:
- Availability: Redis uses a master-slave replication model to ensure high availability. This means that there is a single “master” node that accepts all writes and multiple “slave” nodes that replicate data from the master in real-time. In the event of a failure of the master node, one of the slave nodes can be promoted to become the new master.
- Consistency: Redis provides strong consistency guarantees for single-key operations, meaning that if a value is written to a key, it will be immediately available for reads from any node in the cluster. However, Redis does not provide transactional consistency for multi-key operations, meaning that it is possible for some nodes to see a different view of the data than others.
- Partitioning: Redis supports sharding, which allows the data set to be partitioned across multiple nodes. Redis uses a hash-based partitioning scheme, where each key is assigned to a specific node based on its hash value. Redis also provides a mechanism for redistributing data when nodes are added or removed from the cluster.
Redis and its role in System Design
Redis is an open-source, in-memory data structure store used as a database, cache, and message broker. It is widely used for its fast performance, flexibility, and ease of use.
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