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This article is about why redis is suitable for caching. Xiao Bian thinks it is quite practical, so share it for everyone to make a reference. Let's follow the editor and have a look.

Redis is an in-memory cache database;

The data model is: key-value, the format used by non-relational databases to store data;

Database cache:

sql statement key value, query result resultSet is value, when the same query statement access (select * from t_product), as long as the query has been, call cache directly returned resultSet, saving the database read disk data time.

Persistence Layer Cache:

Reduced database connection time; reduced encapsulation of resultSet into objects.

Buffers at the business and control layers:

Reduce the hierarchy of calls.

Describe the logic of caching at the business layer:

Search for product information

Determine whether the current query has data in the cache

If there is data, return directly, the current request ends;

if there is no data, query that persistence lay database data, obtain the data storage and cache a copy for subsequent access;

Thank you for reading! The reason why redis is suitable for caching is shared here. I hope the above content can be of some help to everyone, so that everyone can learn more knowledge. If you think the article is good, you can share it so that more people can see it!

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