This article only compares RabbitMQ and Redis for queue applications. The specific implementation method depends on the actual needs of the system
RabbitMQ (Recommended learning: Redis Video Tutorial)
RabbitMQ is a type of message middleware that implements AMQP (Advanced Message Queuing Protocol). It originally originated from the financial system and is used for It stores and forwards messages in distributed systems and performs well in terms of ease of use, scalability, and high availability. Message middleware is mainly used for decoupling between components. The sender of the message does not need to know the existence of the message consumer, and vice versa.
Redis
is a Key-Value NoSQL database with active development and maintenance. Although it is a Key-Value database storage system, it itself supports MQ functions. , so it can be used as a lightweight queue service.
Specific differences
Reliable consumption
Redis: There is no corresponding mechanism to ensure the consumption of messages. When consuming When consumer consumption fails, the message body is lost and needs to be processed manually.
RabbitMQ: With message consumption confirmation, even if consumer consumption fails, the message body will be automatically returned to the original queue, and at the same time, it can Full persistence to ensure that the message body is consumed correctly
Reliable release
Reids: not provided, need to be implemented by yourself
RabbitMQ: Has a release confirmation function to ensure that messages are released to the server
High availability
Redis: Adopts master-slave mode, reads Write separation, but there is no very complete official solution for failover
RabbitMQ: The cluster uses disks and memory nodes, and any single point failure will not affect the operation of the entire queue
Persistence
Redis: Persist the entire Redis instance to disk
RabbitMQ: Queues and messages can all be persisted or not
Consumers Load balancing
Redis: Not provided, need to implement it by yourself
RabbitMQ: Balanced distribution of messages based on consumer conditions
Queue monitoring
Redis: Not provided, need to implement it by yourself
RabbitMQ: The background can monitor all information of a queue, (memory, disk, consumer, producer, rate, etc.)
Flow control
Redis: Not provided, need to implement it by yourself
RabbitMQ: In the case of server overload, the producer rate will be limited to ensure service reliability
Enqueue and dequeue performance
For the enqueue and dequeue operations of RabbitMQ and Redis, each is executed 1 million times, and the execution time is recorded every 100,000 times.
The test data is divided into four different sizes of 128Bytes, 512Bytes, 1K and 10K.
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