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This article will explain in detail what are the differences between redis and map. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

The difference between caching

Caching is divided into local cache and distributed cache.

Take java as an example. Local cache is implemented using built-in map or guava. The main features are lightweight and fast. The life cycle ends with the destruction of jvm. In the case of multiple instances, each instance needs to keep a cache, and the cache is not consistent.

Using a distributed cache such as redis or memcached, in the case of multiple instances, each instance shares a share of the cached data, and the cache is consistent. The disadvantage is the need to maintain the high availability of redis or memcached services, and the overall program architecture is more complex.

Of course, if only a small amount of data is saved as a cache and there is no need for persistence, then Map can be used for caching.

What's the difference between redis and simple map:

1. Redis can use tens of gigabytes of memory to do cache, but not Map. Generally speaking, JVM is large enough to divide into a few gigabytes of data.

2. The cache of Redis can be persisted. Map is an in-memory object, and the data will be gone as soon as the program is restarted.

3. Redis can implement distributed caching, and Map can only exist in the program that created it.

4. Redis can handle millions of concurrency per second and is a professional caching service. Map is just an ordinary object.

5. Redis cache has an expiration mechanism, but Map itself does not have this function.

6. It is much easier for Redis to have rich API,Map.

What are the differences between redis and map to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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