How to use cache to ensure data reliability in Golang?

As Internet applications become more and more popular, the reliability of data becomes more and more important. In Golang, the use of caching technology can effectively ensure the reliability of data. This article will introduce how to use cache to ensure data reliability in Golang.

1. Why do you need caching?

In actual applications, data often needs to be read and written frequently. If you access a database or other storage media every time, it will bring a lot of performance overhead to the system. The use of cache can greatly improve access performance, reduce the pressure on data storage, and improve system throughput.

At the same time, caching can also increase the reliability of the system. In some cases, unpredictable situations such as server downtime and network abnormalities may occur. If the data is only stored in a database or other storage media, it will not be accessible once a problem occurs, causing the application system to fail to work properly. The use of cache can make the system have strong pressure resistance, fault tolerance, and high availability.

2. Cache implementation in Golang

The cache libraries widely used in Golang include the following:

1. redigo

redigo is the client library for redis in Golang. You can store data into the redis cache by using redigo. redigo has the following advantages:

(1) supports connection pooling;

(2) is easy to use and API-friendly;

(3) can be integrated into Golang projects .

For specific usage methods, please refer to redigo official website (https://github.com/gomodule/redigo).

2. cache2go

cache2go is a simple and easy-to-use memory cache library in Golang that supports expiration time and automatic deletion. cache2go has the following advantages:

(1) Easy to use, API-friendly;

(2) Supports concurrent use;

(3) Supports automatic cache deletion function.

For specific usage methods, please refer to the cache2go official website (https://github.com/muesli/cache2go).

3. How to use cache to ensure data reliability

1. Use cache to optimize the database

When issuing business requests, we often go first Query whether the corresponding data exists in the cache. If it exists, return the cached data directly. Otherwise, query in the database. When there is no cached data in the database, the query results are stored in the cache and read directly from the cache when accessing the data in the future. In this case, caching can reduce the pressure on the database and improve the performance of the application system.

When using cache to optimize the database, you need to pay attention to the following points:

(1) The cache needs to set a corresponding expiration time to ensure that the cached data will not always exist and become stale. ;

(2) The cache needs to set up a corresponding elimination strategy to ensure the validity of the data in the cache;

(3) The cache needs to set up a corresponding exception handling mechanism to deal with exceptions. Case.

2. Use cache to improve system reliability

When accessing cache, we can use a mechanism similar to CAS (Compare and Swap) to achieve data reliability Assure. The CAS mechanism is a common concurrency control method that can solve the problem of data competition. We can store the version number of the data in the cache, and compare the version numbers every time we access the cache. If they are consistent, read the data directly from the cache. Otherwise, we need to re-read the data, update the cache version number, and save the data. Store in cache.

When using cache to improve system reliability, you need to pay attention to the following points:

(1) The cached version number needs to be set to ensure that each version number is unique;

(2) The cached version number needs to be able to support concurrent read and write operations to ensure the reliability of data access;

(3) The cached version number needs to set up a corresponding exception handling mechanism. to prevent abnormal situations.

4. Summary

This article introduces how to use cache to ensure data reliability in Golang. In practice, we need to select a suitable cache implementation solution based on specific business scenarios and data access conditions, and pay attention to the details and precautions during the specific implementation process. Through reasonable use of cache, the performance, reliability and maintainability of application systems can be greatly improved.

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