Introduction to redis:
Redis是当前比较热门的NOSQL系统之一,它是一个开源的使用ANSI c语言编写的key-value存储系统 (区别于MySQL的二维表格的形式存储。)。和Memcache类似,但很大程度补偿了Memcache的不 足。和Memcache一样,Redis数据都是缓存在计算机内存中,不同的是,Memcache只能将数据缓存到 内存中,无法自动定期写入硬盘,这就表示,一断电或重启,内存清空,数据丢失。所以Memcache的 应用场景适用于缓存无需持久化的数据。而Redis不同的是它会周期性的把更新的数据写入磁盘或者把修 改操作写入追加的记录文件,实现数据的持久化。 Redis的特点: 1,Redis读取的速度是110000次/s,写的速度是81000次/s; 2,原子 。Redis的所有操作都是原子性的,同时Redis还支持对几个操作全并后的原子性执行。 3,支持多种数据结构:string(字符串);list(列表);hash(哈希),set(集合);zset(有序集合) 4,持久化,集群部署 5,支持过期时间,支持事务,消息订阅
Introduce dependencies:
<!-- redis --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <!-- spring2.X集成redis所需common-pool2--> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.6.0</version> </dependency>
Write application.properties file
#redi配置 spring.redis.host=ip地址 spring.redis.port=端口号 spring.redis.database=0 spring.redis.password=密码 spring.redis.lettuce.pool.max-active=20 spring.redis.lettuce.pool.max-wait=1 #最大阻塞等待时间(负数表示没有限制) spring.redis.lettuce.pool.max-idle=5 spring.redis.lettuce.pool.min-idle=0 # 关闭超时时间 spring.redis.lettuce.shutdown-timeout=100
Write configuration class :
@EnableCaching @Configuration public class RedisConfig extends CachingConfigurerSupport { @Bean public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory factory) { RedisTemplate<String, Object> template = new RedisTemplate<>(); RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); template.setConnectionFactory(factory); //key序列化方式 template.setKeySerializer(redisSerializer); //value序列化 template.setValueSerializer(jackson2JsonRedisSerializer); //value hashmap序列化 template.setHashValueSerializer(jackson2JsonRedisSerializer); return template; } @Bean public CacheManager cacheManager(RedisConnectionFactory factory) { RedisSerializer<String> redisSerializer = new StringRedisSerializer(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); //解决查询缓存转换异常的问题 ObjectMapper om = new ObjectMapper(); om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); jackson2JsonRedisSerializer.setObjectMapper(om); // 配置序列化(解决乱码的问题),过期时间600秒 RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig() .entryTtl(Duration.ofSeconds(600)) .serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redi sSerializer)) .serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(ja ckson2JsonRedisSerializer)) .disableCachingNullValues(); RedisCacheManager cacheManager = RedisCacheManager.builder(factory) .cacheDefaults(config) .build(); return cacheManager; } }
Springboot’s redis annotation introduction
(1) Cache @Cacheable
Cache the return result according to the method. The next time you request it, if the cache exists, then Directly read the cache data and return; if the cache does not exist, execute the method and store the returned result in the cache. Generally used in query methods.
View the source code, the attribute value is as follows:
(2) Cache @CachePut
is marked with this annotation The method will be called every time it is executed, and the results will be saved to the specified cache. Instead of querying the database again, reading the data directly from the response's cache is another approach. Generally used to add new methods.
View the source code, the attribute values are as follows
(3) Cache @CacheEvict
Use this annotation flag Method will clear the specified cache. Generally used to view the source code on the update or delete method, the attribute value is as follows
不能连接redis: (1)关闭liunx防火墙 (2)找到redis配置文件: 修改 protected-mode yes 改为 protected-mode no 注释掉: bind 127.0.0.1
Test
@Cacheable(value = "banner", key = "'selectIndexList'") @Override public List<CrmBanner> selectIndexList() { List<CrmBanner> list = baseMapper.selectList(new QueryWrapper<CrmBanner>().orderByDesc("sort")); return list; } @CacheEvict(value = "banner", allEntries=true) @Override public void removeBannerById(String id) { baseMapper.deleteById(id); }
In redis:
Basic functions:
Query usage: @Cacheable annotation
Modify delete: Use @CacheEvict annotation
Add : Use @CachePut annotation
The above is the detailed content of What are the annotations for springboot integrated redis?. For more information, please follow other related articles on the PHP Chinese website!

Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.


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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version
Useful JavaScript development tools

Atom editor mac version download
The most popular open source editor

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

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