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Where is the redis data cache?

Release: 2019-07-06 15:24:35
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Where is the redis data cache?

1. Where is the redis data cache?

First of all, you must understand that redis is a database, and redis is an in-memory database. All data basically exists in the memory, and will be regularly refreshed to the hard disk in the form of appends or snapshots. Since redis is an in-memory database, Therefore, the speed of reading and writing is very fast, so it is often used for caching data, pages, etc.

Commonly used data types in Redis

The most commonly used data types in Redis mainly include the following:

  • String
  • ## Hash
  • List
  • Set
  • Sorted set
  • pub/sub
  • Transactions

##Redis practical application scenarios

Redis is different from other The database solution is different: it uses memory to provide main storage support and only uses the hard disk for persistent storage; its data model is very unique and uses a single thread. Another big difference is that you can use Redis functionality in a development environment without switching to Redis.

It is certainly advisable to switch to Redis. Many developers have used Redis as their preferred database from the beginning; but if your development environment has been set up and the application is already running on it, then it is obviously not feasible to change the database framework. so easy. In addition, Redis is not suitable for some applications that require large-capacity data sets, because its data sets will not exceed the available memory of the system. So if you have a big data application and the main access pattern is read, then Redis is not the right choice.

However, what I like about Redis is that you can integrate it into your system, which can solve many problems, such as tasks that your existing database feels slow to process. You can optimize these through Redis, or create some new functions for the application. In this article, I would like to discuss how to add Redis to the existing environment and use its primitive commands and other functions to solve some common problems encountered in traditional environments. In none of these examples, Redis is not the database of choice.

For more Redis related knowledge, please visit the

Redis usage tutorial

column!

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