redis.clients.jedis.exceptions.JedisDataException: ERR hash value is not an integer

業務場景

https://blog.csdn.net/qq_31071543/article/details/84752778

推測拋出異常的原因
第一次訪問接口時通過void setEntryInHash(String key,String field,String vlaue)方法在redis中存放用戶訪問當前接口的次數爲1，此時不會拋出異常，通過redis命令查看存放的數據爲
field爲： “��” value爲："��。第二次訪問接口時通過void incrementValue(String key,String field,int increment)方法改變用戶訪問接口的次數，此時就會拋出異常。由此可以看出拋出異常的原因可能是因爲第一次存放的數據已經發生亂碼，第二次通過傳入一個int去改變內存中用戶訪問的接口次數就會發生亂碼。

分析拋出異常的原因
在項目中採用 Spring Data Redis操作數據庫緩存，通過RedisTemplate模版來操作redis數據庫。RedisTemplate的bean配置爲：

@Bean
	RedisTemplate<String, Object> template(RedisConnectionFactory connectionFactory) {
		RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
		template.setConnectionFactory(connectionFactory);
		// 定義value的序列化方式
		Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
		ObjectMapper om = new ObjectMapper();
		om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
		om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
		jackson2JsonRedisSerializer.setObjectMapper(om);
		template.setValueSerializer(jackson2JsonRedisSerializer);
		template.setKeySerializer(new StringRedisSerializer(Charset.forName("UTF-8")));
		template.afterPropertiesSet();
		return template;
	}

發現沒有配置hashkey,hashValue的序列化方式，因此當我們採用RedisTemplate操作hash數據結構，就會採用默認的序列化方式JdkSerializationRedisSerializer(這種序列化方式主要用來操作對象，操作字符串就會發生亂碼的情況)。

解決方案
方案一：
在使用註解@Bean返回RedisTemplate的時候，同時配置hashKey與hashValue的序列化方式。

@Bean
	RedisTemplate<String, Object> template(RedisConnectionFactory connectionFactory) {
		RedisTemplate<String, Object> template = new RedisTemplate<String, Object>();
		template.setConnectionFactory(connectionFactory);
		// 定義value的序列化方式
		Jackson2JsonRedisSerializer<Object> jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
		ObjectMapper om = new ObjectMapper();
		om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
		om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
		jackson2JsonRedisSerializer.setObjectMapper(om);
		template.setValueSerializer(jackson2JsonRedisSerializer);
		template.setKeySerializer(new StringRedisSerializer(Charset.forName("UTF-8")));
		//save hash use StringRedisSerializer as serial method
		template.setHashKeySerializer(new StringRedisSerializer(Charset.forName("UTF-8")));
		template.setHashValueSerializer(new StringRedisSerializer(Charset.forName("UTF-8")));
		template.afterPropertiesSet();
		return template;
	}

方案二：
採用Spring Data Redis的StringRedisTemplate這個模版來操作數據。

@Slf4j
@Service("redisHashService")
public class RedisHashServiceImpl implements RedisHashService {
	
	
	@Autowired
	StringRedisTemplate redisTemplate;
	
	@Resource(name="redisTemplate")
	HashOperations<String, Object, Object>  opsForHash;

	@Override
	public Object getValueByKeyAndField(String key, String field) {
		return opsForHash.get(key, field);
	}

	@Override
	public boolean hasKey(String key) {
		return redisTemplate.hasKey(key);
	}

	@Override
	public void setExpire(String key, long during, TimeUnit timeUnit) {
		redisTemplate.expire(key, during, timeUnit);
	}

	@Override
	public boolean hasKeyAndField(String key, String field) {
		return opsForHash.hasKey(key, field);
	}

	@Override
	public void setEntryInHash(String key, String field, String value) {
		 opsForHash.put(key, field, value);
	}

	@Override
	public void incrementValue(String key, String field,long incredment) {
		opsForHash.increment(key, field, incredment);
	}

}