Shulou(Shulou.com)06/01 Report--

Today, I will talk to you about the implementation of database synchronization to Redis, many people may not know much about it. In order to make you understand better, the editor summed up the following content for you. I hope you can get something according to this article.

Most of us tend to use this approach, that is, synchronizing changes in the database to Redis, which is more reliable. Redis is just caching here.

Option 1

To do caching, you should follow the semantic rules of caching:

Read: read cache redis, none, read mysql, and write the value of mysql to redis.

Write: write mysql, after success, update or invalidate the value in the cache redis.

For those with high consistency requirements, read from the database, such as financial, trading and other data. Read the rest from Redis.

The advantage of this scheme is that mysql, conventional relational database to ensure persistence, consistency and so on, is not prone to error.

Option 2

You can also use mysql_udf_redis based on binlog to synchronize the data in the database to Redis.

But it is clear that this increases the overall complexity, and the functions that we could easily do in the system code now rely on third-party tools, and the entire boundaries of the system have expanded, becoming more unstable and difficult to manage.

After reading the above, do you have any further understanding of the implementation of database synchronization to Redis? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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