redis单机springboot连接使用

    技术2022-07-11  115

    这里是集群其他配置

    集群环境https://blog.csdn.net/wasd986523/article/details/107002163

    集群代码https://blog.csdn.net/wasd986523/article/details/107062807

    单记安装:https://blog.csdn.net/wasd986523/article/details/85331813

    redis配置aof:https://blog.csdn.net/wasd986523/article/details/105244683

    配置

    <!-- springboot整合 redis --> <!-- Spring Boot Redis依赖 --> <!-- 注意:1.5版本的依赖和2.0的依赖不一样,注意看哦 1.5我记得名字里面应该没有“data”, 2.0必须是“spring-boot-starter-data-redis” 这个才行 --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> <!-- 1.5的版本默认采用的连接池技术是jedis 2.0以上版本默认连接池是lettuce, 在这里采用jedis,所以需要排除lettuce的jar --> <exclusions> <exclusion> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> </exclusion> <exclusion> <groupId>io.lettuce</groupId> <artifactId>lettuce-core</artifactId> </exclusion> </exclusions> </dependency> <!-- 添加jedis客户端 --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> </dependency> <!--spring2.0集成redis所需common-pool2 --> <!-- 必须加上,jedis依赖此 --> <!-- spring boot 2.0 的操作手册有标注 大家可以去看看 地址是:https://docs.spring.io/spring-boot/docs/2.0.3.RELEASE/reference/htmlsingle/ --> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-pool2</artifactId> <version>2.5.0</version> </dependency>

    单机代码配置

    package com.jzlife.nurse.config; import com.fasterxml.jackson.annotation.JsonAutoDetect; import com.fasterxml.jackson.annotation.PropertyAccessor; import com.fasterxml.jackson.databind.ObjectMapper; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Value; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.cache.Cache; import org.springframework.cache.CacheManager; import org.springframework.cache.annotation.CachingConfigurerSupport; import org.springframework.cache.annotation.EnableCaching; import org.springframework.cache.interceptor.CacheErrorHandler; import org.springframework.cache.interceptor.KeyGenerator; 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.Jackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; import redis.clients.jedis.JedisPool; import redis.clients.jedis.JedisPoolConfig; @Configuration // 必须加,使配置生效 @EnableCaching public class RedisConfiguration extends CachingConfigurerSupport { /** * Logger */ private static final Logger lg = LoggerFactory.getLogger(RedisConfiguration.class); @Autowired private JedisConnectionFactory jedisConnectionFactory; @Bean @Override public KeyGenerator keyGenerator() { // 设置自动key的生成规则,配置spring boot的注解,进行方法级别的缓存 // 使用:进行分割,可以很多显示出层级关系 // 这里其实就是new了一个KeyGenerator对象,只是这是lambda表达式的写法,我感觉很好用,大家感兴趣可以去了解下 return (target, method, params) -> { StringBuilder sb = new StringBuilder(); sb.append(target.getClass().getName()); sb.append(":"); sb.append(method.getName()); for (Object obj : params) { sb.append(":" + String.valueOf(obj)); } String rsToUse = String.valueOf(sb); lg.info("自动生成Redis Key -> [{}]", rsToUse); return rsToUse; }; } @Bean @Override public CacheManager cacheManager() { // 初始化缓存管理器,在这里我们可以缓存的整体过期时间什么的,我这里默认没有配置 lg.info("初始化 -> [{}]", "CacheManager RedisCacheManager Start"); RedisCacheManager.RedisCacheManagerBuilder builder = RedisCacheManager .RedisCacheManagerBuilder .fromConnectionFactory(jedisConnectionFactory); return builder.build(); } @Bean public RedisTemplate<String, Object> redisTemplate(JedisConnectionFactory jedisConnectionFactory ) { //设置序列化 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); // 配置redisTemplate RedisTemplate<String, Object> redisTemplate = new RedisTemplate<String, Object>(); redisTemplate.setConnectionFactory(jedisConnectionFactory); RedisSerializer stringSerializer = new StringRedisSerializer(); redisTemplate.setKeySerializer(stringSerializer); // key序列化 redisTemplate.setValueSerializer(jackson2JsonRedisSerializer); // value序列化 redisTemplate.setHashKeySerializer(stringSerializer); // Hash key序列化 redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer); // Hash value序列化 redisTemplate.afterPropertiesSet(); return redisTemplate; } @Override @Bean public CacheErrorHandler errorHandler() { // 异常处理,当Redis发生异常时,打印日志,但是程序正常走 lg.info("初始化 -> [{}]", "Redis CacheErrorHandler"); CacheErrorHandler cacheErrorHandler = new CacheErrorHandler() { @Override public void handleCacheGetError(RuntimeException e, Cache cache, Object key) { lg.error("Redis occur handleCacheGetError:key -> [{}]", key, e); } @Override public void handleCachePutError(RuntimeException e, Cache cache, Object key, Object value) { lg.error("Redis occur handleCachePutError:key -> [{}];value -> [{}]", key, value, e); } @Override public void handleCacheEvictError(RuntimeException e, Cache cache, Object key) { lg.error("Redis occur handleCacheEvictError:key -> [{}]", key, e); } @Override public void handleCacheClearError(RuntimeException e, Cache cache) { lg.error("Redis occur handleCacheClearError:", e); } }; return cacheErrorHandler; } /** * 此内部类就是把yml的配置数据,进行读取,创建JedisConnectionFactory和JedisPool,以供外部类初始化缓存管理器使用 * 不了解的同学可以去看@ConfigurationProperties和@Value的作用 * */ @ConfigurationProperties class DataJedisProperties{ @Value("${spring.redis.host}") private String host; @Value("${spring.redis.password}") private String password; @Value("${spring.redis.port}") private int port; @Value("${spring.redis.timeout}") private int timeout; @Value("${spring.redis.jedis.pool.max-idle}") private int maxIdle; @Value("${spring.redis.jedis.pool.max-wait}") private long maxWaitMillis; @Value("${spring.redis.database}") private int database; @Bean JedisConnectionFactory jedisConnectionFactory() { lg.info("Create JedisConnectionFactory successful"); JedisConnectionFactory factory = new JedisConnectionFactory(); factory.setHostName(host); factory.setPort(port); factory.setTimeout(timeout); factory.setPassword(password); factory.setDatabase(database); return factory; } @Bean public JedisPool redisPoolFactory() { lg.info("JedisPool init successful,host -> [{}];port -> [{}]", host, port); JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); jedisPoolConfig.setMaxIdle(maxIdle); jedisPoolConfig.setMaxWaitMillis(maxWaitMillis); JedisPool jedisPool = new JedisPool(jedisPoolConfig, host, port, timeout, password); return jedisPool; } } /** * //* @Cacheable : Spring在每次执行前都会检查Cache中是否存在相同key的缓存元素,如果存在就不再执行该方法,而是直接从缓存中获取结果进行返回,否则才会执行并将返回结果存入指定的缓存中。 //* @CacheEvict : 清除缓存。 //* @CachePut : @CachePut也可以声明一个方法支持缓存功能。使用@CachePut标注的方法在执行前不会去检查缓存中是否存在之前执行过的结果,而是每次都会执行该方法,并将执行结果以键值对的形式存入指定的缓存中。 @Autowired private UserDao userDao; @CacheEvict(value = CACHE_NAME_B, key = CACHE_KEY) @Override public int insert(User user) { return userDao.insert(user); } @CacheEvict(value = CACHE_NAME_B, key = "'user_' + #id") //这是清除缓存 @Override public int deleteByPrimaryKey(String id) { Result result = new Result(); return userDao.deleteByPrimaryKey(id); } @CacheEvict(value = CACHE_NAME_B, key = "'user_'+ #user.id") @Override public User updateByPrimaryKey(User user) { userDao.updateByPrimaryKey(user); return user; } @Cacheable(value = CACHE_NAME_B, key = "'user_'+ #id") @Override public User selectByPrimaryKey(String id) { return userDao.selectByPrimaryKey(id); } @Override public List<User> selectAllUser() { return userDao.selectAllUser(); } @Cacheable(value = CACHE_NAME_B, key = "#userId+'_'+#userName") @Override public Result selectUserByAcount(Integer userId, String userName) { Result result = new Result(); try { List<User> list = userDao.selectUserByAcount(userId, userName); if (list.size() == 0 || list.isEmpty()) { result.setRetCode(Result.RECODE_ERROR); result.setErrMsg("查找数据不存在"); return result; } result.setData(list); } catch (Exception e) { result.setRetCode(Result.RECODE_ERROR); result.setErrMsg("方法执行出错"); logger.error("方法执行出错", e); throw new RuntimeException(e); } return result; } */ }

     

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