SpringDataRedis快速入门
RedisTemplate的两种序列化实践方案:
方案一:
1.自定义RedisTemplate
2.修改RedisTemplate的序列化器为GenericJackson2]sonRedisserializen
SpringDataRedis的使用步骤
1.引入spring-boot-starter-data-redis依赖
2.在application.yml配置Redis信息
3.注入RedisTemplate
1、引入依赖
<!--redis依赖-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!--common-pool-->
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-pool2</artifactId>
</dependency>
<!--Jackson依赖-->
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
2、配置文件
spring:
redis:
host: 192.168.150.101
port: 6379
password: 123321
lettuce:
pool:
max-active: 8
max-idle: 8
min-idle: 0
max-wait: 100ms
3、注入RedisTemplate
@Autowired
private RedisTemplate<String,Object> redisTemplate;
4、Redis 配置文件自定义序列化
@Configuration
public class RedisConfig {
@Bean
public RedisTemplate<String, Object> redisTemplate(RedisConnectionFactory connectionFactory){
// 创建RedisTemplate对象
RedisTemplate<String, Object> template = new RedisTemplate<>();
// 设置连接工厂
template.setConnectionFactory(connectionFactory);
// 创建JSON序列化工具
GenericJackson2JsonRedisSerializer jsonRedisSerializer = new GenericJackson2JsonRedisSerializer();
// 设置Key的序列化
template.setKeySerializer(RedisSerializer.string());
template.setHashKeySerializer(RedisSerializer.string());
// 设置Value的序列化
template.setValueSerializer(jsonRedisSerializer);
template.setHashValueSerializer(jsonRedisSerializer);
// 返回
return template;
}
}
方案二:
1.使用StringRedisTemplate
2.写入Redis时,手动把对象序列化为JSON
3.读取Redis时,手动把读取到的JSON反序列化为对象
!!!!!!!!!!!!!!多了手动序列化和手动反序列化两步骤
Spring默认提供了一个StringRedisTemplate类,它的key和value的序列化方式默认就是String方式。省去了我们自定义RedisTemplate的过程:
@Autowired private StringRedisTemplate stringRedisTemplate;
//JSON T具
private static final ObjectMapper mapper = new ObjectMapper();
@Test void testStringTemplate()throws JsonProcessingException
//准备对象
User user = new User("裴珠泫",18);
//手动序列化
String json = mapper.writeValueAsString(user);
//写入一条数据到redis stringRedisTemplate.opsForValue().set("user:200",json);
//读取数据
String val = stringRedisTemplate.opsForValue().get("user:200");
//反序列化
User user1 = mapper.readValue(val,User.class);System.out.println("user1 ="+ user1);