标签：pass 存在 private zab mis 忽略 cep yacc 类型
Spring对Redis的支持是使用Spring Data Redis来实现的，一般使用Jedis或者lettuce（默认），Java客户端在 org.springframework.boot.autoconfigure.data.redis（Spring Boot 2.x） 中redis的自动配置 AutoConfigureDataRedis
RedisAutoConfiguration提供了RedisTemplate与StringRedisTemplate（只针对键值都是字符型的数据）模板，其中注解 @ConditionalOnMissingBean 是关键，表明该Bean如果在Spring中已经存在，则忽略，如果没有存在则在此处注册由Spring管理，也就是说我们可以“重写”该bean，实现自己的RedisTemplate与StringRedisTemplate，事实上，是要需要重写的，理由如下：
@Bean @ConditionalOnMissingBean( name = {"redisTemplate"} ) public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { RedisTemplate<Object, Object> template = new RedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; } @Bean @ConditionalOnMissingBean public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) throws UnknownHostException { StringRedisTemplate template = new StringRedisTemplate(); template.setConnectionFactory(redisConnectionFactory); return template; }
1）需要spring-boot-starter-cache依赖，管理缓存
<!-- Spring Boot Cache --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-cache</artifactId> </dependency>
2）需要spring-boot-starter-data-redis依赖（注：spring boot 2.x改为在data下），支持redis：主要以为Jedis客户端为主，排除默认的lettuce作为客户端的依赖
<!-- Redis Cache --> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> <!-- 排除lettuce包，使用jedis代替--> <exclusions> <exclusion> <groupId>io.lettuce</groupId> <artifactId>lettuce-core</artifactId> </exclusion> </exclusions> </dependency>
3）需要jedis-client依赖（注：Redis Client 3版本以上会报错与spring-boot-starter-data-redis冲突，最好使用2.9.x），使用jedis作为客户端
<!-- Redis Client 3版本以上会报错与spring-boot-starter-data-redis冲突 --> <dependency> <groupId>redis.clients</groupId> <artifactId>jedis</artifactId> <version>2.9.0</version> </dependency>
创建RedisConfig配置类，增加@Configuration注解，同时开启缓存管理支持（添加注解@EnableCaching），继承CachingConfigurerSupport重写key生成策略
@Configuration @EnableCaching public class RedisConfig extends CachingConfigurerSupport { /** * 生成key的策略:根据类名+方法名+所有参数的值生成唯一的一个key * @return */ @Bean @Override public KeyGenerator keyGenerator() { return (Object target, Method method, Object... params) -> { StringBuilder sb = new StringBuilder(); sb.append(target.getClass().getName()); sb.append(method.getName()); for (Object obj : params) { sb.append(obj.toString()); } return sb.toString(); }; } }
之后使用的application.yml配置文件，其中这里已经选择jedis作为客户端。
# redis 配置
redis:
port: 6379
# Redis服务器连接密码（默认为空）
password:
host: xxx.xxx.xxx.xxx
database: 0
jedis:
pool:
#连接池最大连接数（使用负值表示没有限制）
max-active: 300
# 连接池中的最小空闲连接
max-idle: 100
# 连接池最大阻塞等待时间（使用负值表示没有限制）
max-wait: 10000
# 连接超时时间（毫秒）
timeout: 5000
同时读取配置属性，注入JedisPoolConfig
/** * redis配置属性读取 */ @Value("${spring.redis.host}") private String host; @Value("${spring.redis.port}") private int port; @Value("${spring.redis.database}") private int database; @Value("${spring.redis.jedis.pool.max-idle}") private int maxIdle; @Value("${spring.redis.jedis.pool.max-wait}") private long maxWaitMillis; @Value("${spring.redis.jedis.pool.max-active}") private int maxActive; /** * JedisPoolConfig配置 * @return */ @Bean public JedisPoolConfig jedisPoolConfig() { log.info("初始化JedisPoolConfig"); JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); jedisPoolConfig.setMaxTotal(maxActive); jedisPoolConfig.setMaxWaitMillis(maxWaitMillis); jedisPoolConfig.setMaxIdle(maxIdle); return jedisPoolConfig; }
针对RedisTemplate或StringRedisTemplate进行序列化，同时重写注册Bean
RedisTemplate默认使用JdkSerializationRedisSerializer，StringRedisTmeplate默认使用的是StringRedisSerializer。但都是不符合实际要求的
/** * 重新实现RedisTemplate：解决序列化问题 * @param redisConnectionFactory * @return */ @Bean @SuppressWarnings({"rawtype", "unchecked"}) public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){ RedisTemplate<String, Object> template = new RedisTemplate(); template.setConnectionFactory(redisConnectionFactory); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); // 设置任何字段可见 om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); // 设置不是final的属性可以转换 om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); log.info("objectMapper: {}", om); jackson2JsonRedisSerializer.setObjectMapper(om); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson序列化方式 template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson序列化方式 template.setHashValueSerializer(jackson2JsonRedisSerializer); template.afterPropertiesSet(); template.setEnableTransactionSupport(true); return template; } /** * 重新实现StringRedisTmeplate：键值都是String的的数据 * @param redisConnectionFactory * @return */ @Bean public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) { StringRedisTemplate template = new StringRedisTemplate(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); template.setConnectionFactory(redisConnectionFactory); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson序列化方式 template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson序列化方式 template.setHashValueSerializer(jackson2JsonRedisSerializer); return template; }
注意Spring Boot 1.x与Spring Boot 2.x的区别，已在代码中注释表明，Spring Boot 1.x使用的是JedisConnectionFactory 。而Spring Boot 2.x使用的是RedisStandaloneConfiguration ，之后传入JedisConnectionFactory返回Bean
/** * 注入RedisConnectionFactory * @return */ @Bean public RedisConnectionFactory redisConnectionFactory(JedisPoolConfig jedisPoolConfig) { log.info("初始化JedisConnectionFactory"); /* 在Spring Boot 1.x中已经过时，采用RedisStandaloneConfiguration配置 JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory(jedisPoolConfig); jedisConnectionFactory.setHostName(host); jedisConnectionFactory.setDatabase(database);*/ // JedisConnectionFactory配置hsot、database、password等参数 RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration(); redisStandaloneConfiguration.setHostName(host); redisStandaloneConfiguration.setPort(port); redisStandaloneConfiguration.setDatabase(database); // JedisConnectionFactory配置jedisPoolConfig JedisClientConfiguration.JedisPoolingClientConfigurationBuilder jedisPoolConfigBuilder = (JedisClientConfiguration.JedisPoolingClientConfigurationBuilder)JedisClientConfiguration.builder(); jedisPoolConfigBuilder.poolConfig(jedisPoolConfig); return new JedisConnectionFactory(redisStandaloneConfiguration); }
/** * * @author jian * @date 2019/4/14 * @description * 1) RedisTemplate（或StringRedisTemplate）虽然已经自动配置，但是不灵活（第一没有序列化，第二泛型为<Object, Object>不是我们想要的类型） * 所以自己实现RedisTemplate或StringRedisTemplate） * 2) 采用RedisCacheManager作为缓存管理器 * */ @Configuration @EnableCaching public class RedisConfig extends CachingConfigurerSupport { private static final Logger log = LoggerFactory.getLogger(RedisConfig.class); /** * redis配置属性读取 */ @Value("${spring.redis.host}") private String host; @Value("${spring.redis.port}") private int port; @Value("${spring.redis.database}") private int database; @Value("${spring.redis.jedis.pool.max-idle}") private int maxIdle; @Value("${spring.redis.jedis.pool.max-wait}") private long maxWaitMillis; @Value("${spring.redis.jedis.pool.max-active}") private int maxActive; /** * JedisPoolConfig配置 * @return */ @Bean public JedisPoolConfig jedisPoolConfig() { log.info("初始化JedisPoolConfig"); JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); jedisPoolConfig.setMaxTotal(maxActive); jedisPoolConfig.setMaxWaitMillis(maxWaitMillis); jedisPoolConfig.setMaxIdle(maxIdle); return jedisPoolConfig; } /** * 注入RedisConnectionFactory * @return */ @Bean public RedisConnectionFactory redisConnectionFactory(JedisPoolConfig jedisPoolConfig) { log.info("初始化JedisConnectionFactory"); /* 在Spring Boot 1.x中已经过时，采用RedisStandaloneConfiguration配置 JedisConnectionFactory jedisConnectionFactory = new JedisConnectionFactory(jedisPoolConfig); jedisConnectionFactory.setHostName(host); jedisConnectionFactory.setDatabase(database);*/ // JedisConnectionFactory配置hsot、database、password等参数 RedisStandaloneConfiguration redisStandaloneConfiguration = new RedisStandaloneConfiguration(); redisStandaloneConfiguration.setHostName(host); redisStandaloneConfiguration.setPort(port); redisStandaloneConfiguration.setDatabase(database); // JedisConnectionFactory配置jedisPoolConfig JedisClientConfiguration.JedisPoolingClientConfigurationBuilder jedisPoolConfigBuilder = (JedisClientConfiguration.JedisPoolingClientConfigurationBuilder)JedisClientConfiguration.builder(); jedisPoolConfigBuilder.poolConfig(jedisPoolConfig); return new JedisConnectionFactory(redisStandaloneConfiguration); } /** * 采用RedisCacheManager作为缓存管理器 * @param connectionFactory */ @Bean public CacheManager cacheManager(RedisConnectionFactory connectionFactory) { RedisCacheManager redisCacheManager = RedisCacheManager.create(connectionFactory); return redisCacheManager; } /** * 生成key的策略:根据类名+方法名+所有参数的值生成唯一的一个key * @return */ @Bean @Override public KeyGenerator keyGenerator() { return (Object target, Method method, Object... params) -> { StringBuilder sb = new StringBuilder(); sb.append(target.getClass().getName()); sb.append(method.getName()); for (Object obj : params) { sb.append(obj.toString()); } return sb.toString(); }; } /** * 重新实现RedisTemplate：解决序列化问题 * @param redisConnectionFactory * @return */ @Bean @SuppressWarnings({"rawtype", "unchecked"}) public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){ RedisTemplate<String, Object> template = new RedisTemplate(); template.setConnectionFactory(redisConnectionFactory); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); ObjectMapper om = new ObjectMapper(); // 设置任何字段可见 om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY); // 设置不是final的属性可以转换 om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL); log.info("objectMapper: {}", om); jackson2JsonRedisSerializer.setObjectMapper(om); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson序列化方式 template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson序列化方式 template.setHashValueSerializer(jackson2JsonRedisSerializer); template.afterPropertiesSet(); template.setEnableTransactionSupport(true); return template; } /** * 重新实现StringRedisTmeplate：键值都是String的的数据 * @param redisConnectionFactory * @return */ @Bean public StringRedisTemplate stringRedisTemplate(RedisConnectionFactory redisConnectionFactory) { StringRedisTemplate template = new StringRedisTemplate(); Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class); template.setConnectionFactory(redisConnectionFactory); StringRedisSerializer stringRedisSerializer = new StringRedisSerializer(); // key采用String的序列化方式 template.setKeySerializer(stringRedisSerializer); // hash的key采用String的序列化方式 template.setHashKeySerializer(stringRedisSerializer); // value序列化方式采用jackson序列化方式 template.setValueSerializer(jackson2JsonRedisSerializer); // hash的value序列化方式采用jackson序列化方式 template.setHashValueSerializer(jackson2JsonRedisSerializer); return template; } }
虽然RedisTemplate与StringRedisTemplate模板有提供的主要数据访问方法：
但是相关比较抽象，实现起来比较复杂，有必要进一步封装，比如使用redisTmeplate中的简单value的get操作：
Object result = null; ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); result = operations.get(key);
但是封装之后，相对客户端用户来说比较明了
/** * 读取缓存 * * @param key * @return */ public Object get(final String key) { Object result = null; ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); result = operations.get(key); return result; }
@Component public class RedisUtils { @Autowired private RedisTemplate redisTemplate; /** * 批量删除对应的value * * @param keys */ public void remove(final String... keys) { for (String key : keys) { remove(key); } } /** * 批量删除key * * @param pattern */ public void removePattern(final String pattern) { Set<Serializable> keys = redisTemplate.keys(pattern); if (keys.size() > 0) { redisTemplate.delete(keys); } } /** * 删除对应的value * * @param key */ public void remove(final String key) { if (exists(key)) { redisTemplate.delete(key); } } /** * 判断缓存中是否有对应的value * * @param key * @return */ public boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 读取缓存 * * @param key * @return */ public Object get(final String key) { Object result = null; ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); result = operations.get(key); return result; } /** * 写入缓存 * * @param key * @param value * @return */ public boolean set(final String key, Object value) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); operations.set(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 写入缓存 * * @param key * @param value * @return */ public boolean set(final String key, Object value, Long expireTime) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate.opsForValue(); operations.set(key, value); redisTemplate.expire(key, expireTime, TimeUnit.SECONDS); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } }
需要注意的是一定要实现序列化，并且有序列化版本ID
public class Person implements Serializable { private final long serialVersionUID = 1L; private String id; private String name; private int age; private String gender; public String getId() { return id; } public void setId(String id) { this.id = id; } public String getName() { return name; } public void setName(String name) { this.name = name; } public int getAge() { return age; } public void setAge(int age) { this.age = age; } public String getGender() { return gender; } public void setGender(String gender) { this.gender = gender; } @Override public String toString() { return "Person{" + "id=‘" + id + ‘\‘‘ + ", name=‘" + name + ‘\‘‘ + ", age=" + age + ", gender=‘" + gender + ‘\‘‘ + ‘}‘; } }
Redis工具类Spring已经做了管理（增加@Compent注解），使用很简单，只需要注入RedisUtils即可
@RunWith(SpringRunner.class) @SpringBootTest public class RedisTest { @Autowired private RedisUtils redisUtils; @Test public void test(){ Person person = new Person(); person.setAge(23); person.setId("001"); person.setName("Zhangsan"); redisUtils.set("person-001", person); System.out.println(redisUtils.get("person-001")); } }
在IDE控制台中：
在登录客户端后查看value值
标签：pass 存在 private zab mis 忽略 cep yacc 类型
原文地址：https://www.cnblogs.com/jian0110/p/10833056.html
