Mysql 为什么此查询（将预测返回到时间范围）在月份更改时返回空结果集？

我不太喜欢数据库，这个从表中提取一些记录的查询有以下问题。我正在使用MySql

我有一个名为MeteoForecast的主表，其中包含以下meteo forecast：

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (17, 1, NULL, NULL, '2017/11/27 06:00:00.000', '2017/11/27 12:00:00.000', 27, 33, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (18, 1, NULL, NULL, '2017/11/27 12:00:00.000', '2017/11/27 18:00:00.000', 35, 29, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (19, 1, NULL, NULL, '2017/11/28 06:00:00.000', '2017/11/28 12:00:00.000', 26, 31, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (20, 1, NULL, NULL, '2017/11/28 12:00:00.000', '2017/11/28 18:00:00.000', 33, 27, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (21, 1, NULL, NULL, '2017/10/13 12:00:00.000', '2017/10/13 18:00:00.000', 18, 22, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (22, 1, NULL, NULL, '2017/11/29 06:00:00.000', '2017/11/29 12:00:00.000', 30, 34, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (23, 1, NULL, NULL, '2017/11/29 12:00:00.000', '2017/11/29 18:00:00.000', 34, 31, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (24, 1, NULL, NULL, '2017/11/30 06:00:00.000', '2017/11/30 12:00:00.000', 29, 32, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (25, 1, NULL, NULL, '2017/11/30 12:00:00.000', '2017/11/30 18:00:00.000', 33, 31, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (26, 1, NULL, NULL, '2017/12/01 06:00:00.000', '2017/12/01 12:00:00.000', 27, 31, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (27, 1, NULL, NULL, '2017/12/01 12:00:00.000', '2017/12/01 18:00:00.000', 34, 29, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (28, 1, NULL, NULL, '2017/12/02 06:00:00.000', '2017/12/02 12:00:00.000', 28, 34, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (29, 1, NULL, NULL, '2017/12/02 12:00:00.000', '2017/12/02 18:00:00.000', 34, 31, 'Light_Rain.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (30, 1, NULL, NULL, '2017/12/03 06:00:00.000', '2017/12/03 12:00:00.000', 26, 29, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (31, 1, NULL, NULL, '2017/12/03 12:00:00.000', '2017/12/03 18:00:00.000', 29, 33, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (32, 1, NULL, NULL, '2017/12/04 06:00:00.000', '2017/12/04 12:00:00.000', 25, 29, 'Mostly_Cloudy_Icon.png');

INSERT INTO MeteoForecast (id, localization_id, seasonal_forecast_id, meteo_warning_id, start_date, end_date, min_temp, max_temp, icon_link) VALUES (33, 1, NULL, NULL, '2017/12/04 12:00:00.000', '2017/12/04 18:00:00.000', 30, 33, 'Light_Rain.png');

如您所见，这些记录以11月有值的开始日期字段开始，以12月有值的开始日期字段结束

现在我有了这个查询，它提取了与从今天开始的未来7天的预测相关的记录：

SELECT
          DATE_FORMAT(MF.start_date, GET_FORMAT(DATETIME,'ISO')) AS start_date                           ,
          MF.id                                                  AS meteo_forecast_id                    ,
          MF.min_temp                                            AS min_temp                             ,
          MF.max_temp                                            AS max_temp                             ,
          MF.icon_link                                           AS icon_link                            ,
          MFD.id                                                 AS meteo_forecast_description_id        ,
          MFD.meteo_forecast_description_name                    AS meteo_forecast_description_name      ,
          MFD.description                                        AS meteo_forecast_description           ,
          MFD.audio_link                                         AS meteo_forecast_description_audio_link,
          MA.id                                                  AS meteo_advice_id                      ,
          MA.description                                         AS meteo_advice_description             ,
          CR.id                                                  AS crop_id                              ,
          CR.crop_name                                           AS crop_name                            ,
          MA.planting_date                                       AS planting_date                        ,
          MA.harvesting_date                                     AS harvesting_date                      ,
          MA.water_needs                                         AS water_needs                          ,
          MA.audiolink                                           AS meteo_advice_audiolink
FROM
          MeteoForecast as MF
          LEFT JOIN
                    MeteoForecast_MeteoForecastDescription as MF_MFD
                    ON
                              MF.id = MF_MFD.meteo_forecast_id
          LEFT JOIN
                    MeteoForecastDescription as MFD
                    ON
                              MF_MFD.meteo_forecast_description_id = MFD.id
          LEFT JOIN
                    Languages AS LNG
                    ON
                              MFD.language_id = LNG.id
                              AND LNG.id      = 1
          LEFT JOIN
                    MeteoAdvice AS MA
                    ON
                              MF.id = MA.meteo_forecast_id
          LEFT JOIN
                    Crop AS CR
                    ON
                              MA.crop_id = CR.id
WHERE
          MF.localization_id = 1
          AND MF.start_date >= CURDATE()
          AND MF.end_date   <= CURDATE()+7
ORDER BY
          MF.start_date

它会返回这样的结果：2017年11月27日，但如果我尝试以这种方式更改它（添加天数）：

该值不再是一个标准日期，但它是这样的：20171131

因此，当它现在尝试计算此表达式时，可能有问题：

AND MF.end_date   <= CURDATE()+4

---

和MF.end_date由我自己解决，用此代码更改第二个WHERE子句：

AND MF.end_date   <=  ADDDATE(CURDATE(), 7)

和MF.end\u日期由于需要滚动代码，我建议阅读。
CURDATE() AS cur_date,

CURDATE() + 4 AS cur_date,

AND MF.end_date   <= CURDATE()+4

AND MF.end_date   <=  ADDDATE(CURDATE(), 7)