


How to implement a universal Redis addition, deletion, modification and query script
1. Think about what duplicate codes there are?
If it is just for simple addition, deletion, modification, and query, then you only need to tell me which class needs to be serialized and deserialized, and tell me what the prefix of the key is, right? As for the expiration time, we can ignore it this time. If we need to add the expiration time, it is not a difficult thing. Then we think about it for a while and use generics in Java to get the following basic class:
2. Basic service class
public class BasicDataRedisService<t> { /** * Redis key prefix String * Redis中的key前缀 */ private String prefixString; private Class<t> targetClass; @Autowired private StringRedisTemplate redisTemplate; public BasicDataRedisService(String prefixString, Class targetClass) { this.prefixString = prefixString; this.targetClass = targetClass; } // -------------------------以下为内部使用--------------------------------- protected String generateKey(String id) { return prefixString + "id:" + id; } protected T getByKey(String key) { T result = ValueRedisUtil.getRedisObject(redisTemplate, key, targetClass); return result; } protected boolean setByKey(String key, Object object) { return ValueRedisUtil.setRedisObject(redisTemplate, key, object); } protected boolean deleteByKey(String key) { return ValueRedisUtil.delRedis(redisTemplate, key); } // -------------------------以下对外提供--------------------------------- /** * 根据id获取 * * @param id * @return */ public T getById(String id) { String key = generateKey(id); return getByKey(key); } /** * 根据id刷新 * * @param data * @param id * @return */ public boolean setByModel(Object data, String id) { String key = generateKey(id); return setByKey(key, data); } /** * 根据id删除 * * @param id * @return */ public boolean deleteById(String id) { String key = generateKey(id); return deleteByKey(key); } }</t></t>
3. Customize a query service class
Suppose we want to query users, then we only need to write like this:
@Service public class UserRedisServiceImpl extends BasicDataRedisService<user> { private static String PREFIX = "henbao:user:"; public UserRedisServiceImpl() { super(PREFIX, User.class); } }</user>
4. Think about the disadvantages of writing like this
Although writing this way saves the amount of code and can achieve the convenience you want, I always feel that something is wrong, and the operation seems to be a little more exciting. Boy, if you can have such an idea, then congratulations, you have a higher pursuit of code. We have written the class twice now, and written constants to show what the prefix in Redis is. When we use Spring, we usually don't tell the underlying framework these things. We usually use annotations, right? Therefore, Redis Repositories
comes on stage.
5. Each has advantages and disadvantages
Although we are very happy to write this, some developers hope that the content stored in redis is completely consistent with the Model in the db layer, and after modifying the database table structure, it still remains the same. There will be a wave of reverse generation coverage... Then please develop it yourself and submit more powerful code for Spring! At present, it is recommended to use this method if you have a separate redis layer model. Of course, it has all the problems that should be encountered in annotation scanning. Just be patient when dealing with it.
The above is the detailed content of How to implement a universal Redis addition, deletion, modification and query script. For more information, please follow other related articles on the PHP Chinese website!

Redis's functions mainly include cache, session management and other functions: 1) The cache function stores data through memory to improve reading speed, and is suitable for high-frequency access scenarios such as e-commerce websites; 2) The session management function shares session data in a distributed system and automatically cleans it through an expiration time mechanism; 3) Other functions such as publish-subscribe mode, distributed locks and counters, suitable for real-time message push and multi-threaded systems and other scenarios.

Redis's core functions include memory storage and persistence mechanisms. 1) Memory storage provides extremely fast read and write speeds, suitable for high-performance applications. 2) Persistence ensures that data is not lost through RDB and AOF, and the choice is based on application needs.

Redis'sServer-SideOperationsofferFunctionsandTriggersforexecutingcomplexoperationsontheserver.1)FunctionsallowcustomoperationsinLua,JavaScript,orRedis'sscriptinglanguage,enhancingscalabilityandmaintenance.2)Triggersenableautomaticfunctionexecutionone

Redisisbothadatabaseandaserver.1)Asadatabase,itusesin-memorystorageforfastaccess,idealforreal-timeapplicationsandcaching.2)Asaserver,itsupportspub/submessagingandLuascriptingforreal-timecommunicationandserver-sideoperations.

Redis is a NoSQL database that provides high performance and flexibility. 1) Store data through key-value pairs, suitable for processing large-scale data and high concurrency. 2) Memory storage and single-threaded models ensure fast read and write and atomicity. 3) Use RDB and AOF mechanisms to persist data, supporting high availability and scale-out.

Redis is a memory data structure storage system, mainly used as a database, cache and message broker. Its core features include single-threaded model, I/O multiplexing, persistence mechanism, replication and clustering functions. Redis is commonly used in practical applications for caching, session storage, and message queues. It can significantly improve its performance by selecting the right data structure, using pipelines and transactions, and monitoring and tuning.

The main difference between Redis and SQL databases is that Redis is an in-memory database, suitable for high performance and flexibility requirements; SQL database is a relational database, suitable for complex queries and data consistency requirements. Specifically, 1) Redis provides high-speed data access and caching services, supports multiple data types, suitable for caching and real-time data processing; 2) SQL database manages data through a table structure, supports complex queries and transaction processing, and is suitable for scenarios such as e-commerce and financial systems that require data consistency.

Redisactsasbothadatastoreandaservice.1)Asadatastore,itusesin-memorystorageforfastoperations,supportingvariousdatastructureslikekey-valuepairsandsortedsets.2)Asaservice,itprovidesfunctionalitieslikepub/submessagingandLuascriptingforcomplexoperationsan


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

Atom editor mac version download
The most popular open source editor

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 English version
Recommended: Win version, supports code prompts!
