https://github.com/WellJay/spring-data-redis-tools
🔒spring data redis 封装工具类包含分布式锁(distributedLock)、分布式唯一键(distributedId)
https://github.com/WellJay/spring-data-redis-tools
distributed-id distributed-lock redis redis-tool spring-data-redis
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🔒spring data redis 封装工具类包含分布式锁(distributedLock)、分布式唯一键(distributedId)
- Host: GitHub
- URL: https://github.com/WellJay/spring-data-redis-tools
- Owner: WellJay
- License: mit
- Created: 2015-07-30T06:57:11.000Z (almost 11 years ago)
- Default Branch: master
- Last Pushed: 2020-08-26T08:18:04.000Z (almost 6 years ago)
- Last Synced: 2023-03-03T05:18:05.549Z (over 3 years ago)
- Topics: distributed-id, distributed-lock, redis, redis-tool, spring-data-redis
- Language: Java
- Homepage:
- Size: 125 KB
- Stars: 49
- Watchers: 7
- Forks: 23
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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- awesome-java - Spring Data Redis Tools
README
# spring-data-redis-tools
- RedisTemplate封装工具类 `redisTools`
- 可视化分布式ID生成器 `distributedId` (eg:JD202501010001)
- 可靠分布式锁工具类 `distributedLock`（lua脚本实现原子性解决断电问题、valueId避免错误释放问题）
- [Redis技术总结思维导图](#user-content-redis技术总结)
***
## Maven
```xml
org.springframework.boot
spring-boot-starter-data-redis
```
## RedisConfiguration
```java
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.CacheManager;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import redis.clients.jedis.JedisPoolConfig;
/**
* @author wellJay
*/
@Configuration
@EnableCaching
public class RedisConfiguration {
//过期时间一天
private static final int DEFAULT_EXPIRE_TIME = 3600 * 24;
//从配置文件读取redis参数
@Autowired
private CloudConfigProperties cloudConfigProperties;
/**
* jedisPoolConfig config
*/
@Bean
public JedisPoolConfig jedisPoolConfig() {
JedisPoolConfig jedisPoolConfig = new JedisPoolConfig();
jedisPoolConfig.setMaxIdle(cloudConfigProperties.getRedis().getMaxIdle());
jedisPoolConfig.setMinIdle(cloudConfigProperties.getRedis().getMinIdle());
jedisPoolConfig.setTestOnBorrow(cloudConfigProperties.getRedis().getTestOnBorrow());
jedisPoolConfig.setTestOnReturn(cloudConfigProperties.getRedis().getTestOnReturn());
return jedisPoolConfig;
}
/**
* JedisConnectionFactory
*/
@Bean
public JedisConnectionFactory jedisConnectionFactory(JedisPoolConfig jedisPoolConfig) {
JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory();
jedisConnectionFactory.setHostName(cloudConfigProperties.getRedis().getHost());
jedisConnectionFactory.setPort(cloudConfigProperties.getRedis().getPort());
jedisConnectionFactory.setPassword(cloudConfigProperties.getRedis().getPassword());
jedisConnectionFactory.setTimeout(cloudConfigProperties.getRedis().getTimeout());
jedisConnectionFactory.setUsePool(true);
jedisConnectionFactory.setPoolConfig(jedisPoolConfig);
return jedisConnectionFactory;
}
/**
* RedisTemplate
* 从执行时间上来看，JdkSerializationRedisSerializer是最高效的（毕竟是JDK原生的），但是是序列化的结果字符串是最长的。
* JSON由于其数据格式的紧凑性，序列化的长度是最小的，时间比前者要多一些。
* 所以个人的选择是倾向使用JacksonJsonRedisSerializer作为POJO的序列器。
*/
@Bean
public RedisTemplate redisTemplate(JedisConnectionFactory jedisConnectionFactory) {
RedisTemplate, ?> redisTemplate = new RedisTemplate();
redisTemplate.setConnectionFactory(jedisConnectionFactory);
redisTemplate.setDefaultSerializer(new StringRedisSerializer());
//设置普通value序列化方式
redisTemplate.setValueSerializer(new StringRedisSerializer());
redisTemplate.setHashValueSerializer(new JdkSerializationRedisSerializer());
return redisTemplate;
}
@Bean
public CacheManager cacheManager(RedisTemplate redisTemplate) {
RedisCacheManager redisCacheManager = new RedisCacheManager(redisTemplate);
redisCacheManager.setDefaultExpiration(DEFAULT_EXPIRE_TIME);
return redisCacheManager;
}
}
```
## How To Use
1、注入util方式，适用于复杂的业务处理
```java
@Autowired
private RedisCacheUtil redisCacheUtil;
```
2、Spring注解方式适用于简单的数据缓存
```java
@Cacheable(value = Constants.RedisKey.XXX_KEY)
```
## Redis技术总结
