Shulou(Shulou.com)06/02 Report--

We all know that Redis uses the hash method of key to distribute the data stored in columns, and when Redis is used as a cluster, the corresponding application corresponds to a Redis, which to some extent will cause the tilt of the data, resulting in the loss of data.

From the point of view of the previous deployment of Kafka clusters, one topic (theme) of kafka can have multiple partition (replicas) and is evenly distributed on the Kafka cluster, so that there will be no data tilt like redis. Kafka also has the redundancy mechanism of Redis, such as Redis cluster, if a machine goes down, it is likely to cause data loss, while Kafka is evenly distributed on the cluster host, even if a machine is down, it will not affect the use. At the same time, as a subscription message system, Kafka also has the characteristics of high throughput, persistence and distribution at the level of one million per second.

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