JSONObject序列化时间异常

最新推荐文章于 2024-08-18 16:24:49 发布

原创最新推荐文章于 2024-08-18 16:24:49 发布 · 706 阅读

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#json #java #开发语言

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文章描述了一个在处理JSONObject序列化时遇到的问题，即时间字段被转换为毫秒数而不是保持日期格式。问题源于直接使用JSONObject导致Date类型数据转换。解决方案是创建一个专门的类BalanceForecastDataVo来封装时间字段，并实现Serializable接口，从而确保序列化和反序列化时不丢失日期信息。此外，文章还提到了一个定时任务TimingTask使用StringRedisTemplate进行缓存操作。

JSONObject序列化时间异常

场景：Redis数据缓存
数据格式：Map集合

{
  "min": {
    "windPowerSupply": 381.2,
    "storagePowerSupply": 20,
    "wge2": 385.8,
    "opticalPowerSupply": 0,
    "peakShavingCapacity": 2104.1,
    "thermalPowerSupply": 2564.1,
    "powerSupplyCapacity": 3778.1,
    "loadForecast": 3182.2,
    "powerSupplyMargin": 595.9,
    "allocationReserve": 148,
    "hydraulicPowerSupply": 575,
    "forecastDate": "2023-02-09 10:10:10",
    "peakRegulationMargin": 1078.1
  },
  "max": {
   ...
  },
  "details": [
    ...
  ]
}

问题：JSONObject转换后(时间字段变成了毫秒数)

{
  "min": {
    "windPowerSupply": 381.2,
    "storagePowerSupply": 20,
    "wge2": 385.8,
    "opticalPowerSupply": 0,
    "peakShavingCapacity": 2104.1,
    "thermalPowerSupply": 2564.1,
    "powerSupplyCapacity": 3778.1,
    "loadForecast": 3182.2,
    "powerSupplyMargin": 595.9,
    "allocationReserve": 148,
    "hydraulicPowerSupply": 575,
    "forecastDate": 1675850400000,
    "peakRegulationMargin": 1078.1
  },
  "max": {
    ...
  },
  "details": [
    ...
  ]
}

问题分析
- Redis格式化的原因(确实存在，但这里不是Redis的问题)
  
  Redis会格式化会将时间字段转换成毫秒数进行存储，转出时，接收对象可被序列化成功，不会影响数据结构
- 序列化导致的，时间字段存放在Map集合中，JSONObject直接将时间字段转换成了毫秒数(主要)
  - 转入时，Date类型数据会被转换成毫秒数
  - 转出时，元数据不会被转换成Date类型数据
解决方案
- 用单独的类对时间字段进行封装，并将类进行序列化，json转换前后不会受到影响

序列化类：BalanceForecastDataVo.class

@Data
public class BalanceForecastDataVo implements Serializable {
    private List<PmBalancedForecastDetailVo> chart;
    private List<PmBalancedForecastDetailVo> details;
    private PmBalancedForecastDetailVo max;
    private PmBalancedForecastDetailVo min;
}

定时任务：TimingTask.class

@Component
@Slf4j
@RequiredArgsConstructor(onConstructor = @__(@Autowired))
public class TimingTask {
    private final IPmBalancedForecastService iPmBalancedForecastService;
    private final StringRedisTemplate stringRedisTemplate;
	private void makeCachePhyc() {
        BalanceForecastDataVo totalNew = iPmBalancedForecastService.getTotalNew();
        stringRedisTemplate.opsForValue()
            .set(PowerGenerationGroup.PHYC_ZL, JSONObject.toJSONString(totalNew), 60, TimeUnit.SECONDS);
    }
}

目标方法：getTotalNew

public BalanceForecastDataVo getTotalNew() { 
	BalanceForecastDataVo balanceForecastDataVo = new BalanceForecastDataVo();
    String redisData = stringRedisTemplate.opsForValue().get(PowerGenerationGroup.PHYC_ZL);
    if(NullCheckUtils.isNotNull(redisData)) {
        balanceForecastDataVo = JSONArray.parseObject(redisData, BalanceForecastDataVo.class);
        return balanceForecastDataVo;
    }
}