当前Spring Boot的版本为2.7.6，在使用RedisTemplate之前我们需要在pom.xml中引入下述依赖：

<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-data-redis</artifactId><version>3.1.4</version>
</dependency>

同时在application.yml文件中添加下述配置：

springredis:host: 127.0.0.1port: 6379

一、opsForHash 

RedisTemplate.opsForHash()是RedisTemplate类提供的用于操作Hash类型的方法，它可以用于对Redis中的Hash数据结构进行各种操作，如设置字段值、获取字段值、删除字段值等。

1.1 设置哈希字段的值

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){redisTemplate.opsForHash().put("fruit:list", "1", "苹果");}
}

在上述代码能正常运行的情况下，我们在终端中执行 redis-cli 命令进入到redis的控制台中，然后执行 keys * 命令查看所有的key，结果发现存储在redis中的key不是设置的string值，前面还多出了许多类似 \xac\xed\x00\x05t\x00 这种字符串，如下图所示：

这是因为Spring-Data-Redis的RedisTemplate<K, V>模板类在操作redis时默认使用JdkSerializationRedisSerializer来进行序列化，因此我们要更改其序列化方式：

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.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;@Configuration
public class RedisTemplateConfig {@Beanpublic RedisTemplate<Object,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {RedisTemplate<Object,Object> redisTemplate = new RedisTemplate<>();redisTemplate.setConnectionFactory(redisConnectionFactory);RedisSerializer stringRedisSerializer = new StringRedisSerializer();redisTemplate.setKeySerializer(stringRedisSerializer);redisTemplate.setValueSerializer(stringRedisSerializer);redisTemplate.setHashKeySerializer(stringRedisSerializer);redisTemplate.setHashValueSerializer(stringRedisSerializer);return redisTemplate;}
}

需要说明的是这种配置只是针对所有的数据都是String类型，如果是其它类型，则根据需求修改一下序列化方式。 

使用flushdb命令清除完所有的数据以后，再次执行上述测试案例，接着我们再次去查看所有的key，这个看到数据已经正常：

接着使用 hget fruit:list 1 命令去查询刚刚存储的数据，这时又发现对应字段的值中文显示乱码：

\xe8\x8b\xb9\xe6\x9e\x9c

这个时候需要我们在进入redis控制台前，添加 --raw 参数：

redis-cli --raw

1.2 设置多个哈希字段的值

设置多个哈希字段的值一种很简单的粗暴的方法是多次执行opsForHash().put()方法，另外一种更优雅的方式如下：

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;import java.util.HashMap;
import java.util.Map;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Map<String,String> map = new HashMap<>();map.put("1","苹果");map.put("2","橘子");map.put("3","香蕉");redisTemplate.opsForHash().putAll("fruit:list",map);}
}

1.3 获取哈希字段的值

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){String value = (String) redisTemplate.opsForHash().get("fruit:list","1");System.out.println(value);}
}

1.4 获取多个哈希字段的值

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;import java.util.Arrays;
import java.util.List;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){List<String> values = redisTemplate.opsForHash().multiGet("fruit:list", Arrays.asList("1", "2","3"));System.out.println(values);}
}

1.5 判断哈希中是否存在指定的字段

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Boolean hasKey = redisTemplate.opsForHash().hasKey("fruit:list", "1");System.out.println(hasKey);}
}

1.6 获取哈希的所有字段

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;import java.util.Set;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Set<String> keys = redisTemplate.opsForHash().keys("fruit:list");System.out.println(keys);}
}

1.7 获取哈希的所有字段的值

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;import java.util.List;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){List<String> values = redisTemplate.opsForHash().values("fruit:list");System.out.println(values);}
}

1.8 获取哈希的所有字段和对应的值

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;import java.util.Map;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Map<String, String> entries = redisTemplate.opsForHash().entries("fruit:list");System.out.println(entries);}
}

1.9 删除指定的字段 

返回值返回的是删除成功的字段的数量，如果字段不存在的话，则返回的是0。 

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Long deletedFields = redisTemplate.opsForHash().delete("fruit:list", "4");System.out.println(deletedFields);}
}

1.10 如果哈希的字段存在则不会添加，不存在则添加 

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Boolean success =  redisTemplate.opsForHash().putIfAbsent("fruit:list","4","西瓜");System.out.println(success);}
}

1.11 将指定字段的值增加指定步长

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;@SpringBootTest
public class DemoApplicationTests {@Autowiredprivate RedisTemplate redisTemplate;@Testvoid test(){Long incrementedValue = redisTemplate.opsForHash().increment("salary:list", "1", 5);System.out.println(incrementedValue);}
}

如果字段不存在，则将该字段的值设置为指定步长，并且返回该字段当前的值；如果字段存在，则在该字段原有值的基础上增加指定步长，返回该字段当前的最新值。 该方法只适用于字段值为int类型的数据，因此关于哈希数据结构的value值的序列化方式要有所改变：

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.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;@Configuration
public class RedisTemplateConfig {@Beanpublic RedisTemplate<Object,Object> redisTemplate(RedisConnectionFactory redisConnectionFactory) {RedisTemplate<Object,Object> redisTemplate = new RedisTemplate<>();redisTemplate.setConnectionFactory(redisConnectionFactory);RedisSerializer stringRedisSerializer = new StringRedisSerializer();redisTemplate.setKeySerializer(stringRedisSerializer);redisTemplate.setValueSerializer(stringRedisSerializer);redisTemplate.setHashKeySerializer(stringRedisSerializer);Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);redisTemplate.setHashValueSerializer(jackson2JsonRedisSerializer);return redisTemplate;}
}

StringRedisTemplate的好处就是在RedisTemplate基础上封装了一层，指定了所有数据的序列化方式都是采用StringRedisSerializer（即字符串），使用语法上面完全一致。 

public class StringRedisTemplate extends RedisTemplate<String, String> {public StringRedisTemplate() {this.setKeySerializer(RedisSerializer.string());this.setValueSerializer(RedisSerializer.string());this.setHashKeySerializer(RedisSerializer.string());this.setHashValueSerializer(RedisSerializer.string());}
}