【linux系统之redis6】redisTemplate的使用方法

新版本的application.yml配置文件

spring:data:redis:host: 192.168.1.102port: 6379lettuce:pool:max-active: 8min-idle: 1max-idle: 0max-wait: 100

redisTemplate使用方法

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<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>org.apache.commons</groupId><artifactId>commons-pool2</artifactId></dependency>
</dependencies>

package com.gaofeng;import lombok.extern.slf4j.Slf4j;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.RedisTemplate;@Slf4j
@SpringBootTest
class Springboot07RedisTemplateApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid testString() {// 写入一条数据redisTemplate.opsForValue().set("name","胡歌");Object name = redisTemplate.opsForValue().get("name");log.info("name is {}",name);}}

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中文字符的处理
依赖添加

 <dependency><groupId>com.fasterxml.jackson.core</groupId><artifactId>jackson-databind</artifactId></dependency>

redisTemplate配置类

package com.gaofeng.redis.config;import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;/*** @author gaofeng* @date 2025-01-08 - 20:42*/
@Configuration
public class RedisConfig {@Beanpublic RedisTemplate<String,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory){// 创建redisTemplate对象RedisTemplate<String, Object> template = new RedisTemplate<>();// 设置连接工厂template.setConnectionFactory(redisConnectionFactory);// 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.setHashKeySerializer(jsonRedisSerializer);// 返回return template;}
}

package com.gaofeng.redis.pojo;import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;/*** @author gaofeng* @date 2025-01-08 - 20:56*/
@Data
@NoArgsConstructor
@AllArgsConstructor
public class User {private String name;private Integer age;
}

测试类

package com.gaofeng;import com.gaofeng.redis.pojo.User;
import lombok.extern.slf4j.Slf4j;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.data.redis.core.RedisTemplate;@Slf4j
@SpringBootTest
class Springboot07RedisTemplateApplicationTests {@Autowiredprivate RedisTemplate<String,Object> redisTemplate;@Testvoid testString() {// 写入一条数据redisTemplate.opsForValue().set("name","胡歌");Object name = redisTemplate.opsForValue().get("name");log.info("name is {}",name);}@Testvoid testSaveUser(){redisTemplate.opsForValue().set("user:1",new User("gaofeng",30));User user = (User) redisTemplate.opsForValue().get("user:1");log.info("user is {} ",user);}}

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这样，显示就正常了
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手动序列化

@Autowired
private StringRedisTemplate stringRedisTemplate;@Test
void testString(){stringRedisTemplate.opsForValue().set("name","胡歌111");String name = stringRedisTemplate.opsForValue().get("name");System.out.println("name = " + name);}

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@Test
void testSaveUser() throws JsonProcessingException {User user = new User("胡歌222", 40);String json = mapper.writeValueAsString(user);stringRedisTemplate.opsForValue().set("user:200",json);String jsonUser = stringRedisTemplate.opsForValue().get("user:200");//User user1 = mapper.readValue(jsonUser, User.class);System.out.println("user1 = " + user1);}

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这样我们就去掉了自动序列化多余的@class字段

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hash数据

@Test
void testHash(){stringRedisTemplate.opsForHash().put("user:400","name","gaofeng");stringRedisTemplate.opsForHash().put("user:400","age","30");Map<Object, Object> entries = stringRedisTemplate.opsForHash().entries("user:400");System.out.println(entries);
}