我有以下表结构
| id | int(11) | NO | PRI | NULL | auto_increment
| unique_id | int(11) | NO | MUL | NULL |
| date_time | int(11) | NO | MUL | NULL |
| float_value_1 | float | NO | | 0 |
| float_value_2 | float | YES | | NULL |
此表中存储的数据表示间隔为5分钟的时间序列数据。
我试图通过将unique_id和date_time分组为15分钟间隔值，1小时间隔值和1天间隔值来计算MySQL查询来聚合浮点值。
我尝试了以下内容将给定unique_id的值聚合为1小时的间隔，但似乎我的聚合/分组概念不正确
select sum(float_value_1), sum(float_value_2), date_time*12 from location_data where unique_id = 1616 group by HOUR(date_time), day(date_time), month(date_time) , year(date_time) ;
我想弄清楚如何为每个间隔（15分钟，1小时和1天）正确编写查询
提前致谢！
[编辑] 数据看起来像这样
+----------+-------------+------------+---------------------+---------------------+---------------------+------------+
| id | unique_id | date_time | float_value_1 | created_at | updated_at | float_value_2 |
+----------+-------------+------------+---------------------+---------------------+---------------------+------------+
| 27759971 | 1569 | 1410593400 | 37.7907 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | NULL |
| 27759972 | 1569 | 1410593700 | 38.9535 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 13.9535 |
| 27759973 | 1569 | 1410594000 | 54.0698 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 181.395 |
| 27759974 | 1569 | 1410594300 | 104.651 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 606.977 |
| 27759975 | 1569 | 1410594600 | 98.2558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -76.7442 |
| 27759976 | 1569 | 1410594900 | 61.6279 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -439.535 |
| 27759977 | 1569 | 1410595200 | 83.7209 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 265.116 |
| 27759978 | 1569 | 1410595500 | 110.465 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 320.93 |
| 27759979 | 1569 | 1410595800 | 135.465 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 300 |
| 27759980 | 1569 | 1410596100 | 193.023 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 690.698 |
| 27759981 | 1569 | 1410596400 | 206.977 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 167.442 |
| 27759982 | 1569 | 1410596700 | 251.163 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 530.233 |
| 27759983 | 1569 | 1410597000 | 338.372 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1046.51 |
| 27759984 | 1569 | 1410597300 | 504.07 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1988.37 |
| 27759985 | 1569 | 1410597600 | 503.488 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -6.97674 |
| 27759986 | 1569 | 1410597900 | 333.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -2037.21 |
| 27759987 | 1569 | 1410598200 | 284.884 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -586.047 |
| 27759988 | 1569 | 1410598500 | 227.326 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -690.698 |
| 27759989 | 1569 | 1410598800 | 218.605 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -104.651 |
| 27759990 | 1569 | 1410599100 | 232.558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 167.442 |
| 27759991 | 1569 | 1410599400 | 293.605 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 732.558 |
| 27759992 | 1569 | 1410599700 | 305.233 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 139.535 |
| 27759993 | 1569 | 1410600000 | 303.488 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -20.9302 |
| 27759994 | 1569 | 1410600300 | 258.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -537.209 |
| 27759995 | 1569 | 1410600600 | 237.209 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -258.14 |
| 27759996 | 1569 | 1410600900 | 368.023 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1569.77 |
| 27759997 | 1569 | 1410601200 | 459.884 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1102.33 |
| 27759998 | 1569 | 1410601500 | 598.837 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1667.44 |
| 27759999 | 1569 | 1410601800 | 691.86 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1116.28 |
| 27760000 | 1569 | 1410602100 | 555.814 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1632.56 |
| 27760001 | 1569 | 1410602400 | 482.558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -879.07 |
| 27760002 | 1569 | 1410602700 | 469.186 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -160.465 |
| 27760003 | 1569 | 1410603000 | 450.581 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -223.256 |
| 27760004 | 1569 | 1410603300 | 374.419 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -913.953 |
| 27760005 | 1569 | 1410603600 | 338.372 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -432.558 |
| 27760006 | 1569 | 1410603900 | 352.907 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 174.419 |
| 27760007 | 1569 | 1410604200 | 359.884 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 83.7209 |
| 27760008 | 1569 | 1410604500 | 398.256 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 460.465 |
| 27760009 | 1569 | 1410604800 | 442.442 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 530.233 |
| 27760010 | 1569 | 1410605100 | 418.605 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -286.047 |
| 27760011 | 1569 | 1410605400 | 368.605 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -600 |
| 27760012 | 1569 | 1410605700 | 370.349 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 20.9302 |
| 27760013 | 1569 | 1410606000 | 468.605 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1179.07 |
| 27760014 | 1569 | 1410606300 | 628.488 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1918.6 |
| 27760015 | 1569 | 1410606600 | 508.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1437.21 |
| 27760016 | 1569 | 1410606900 | 397.093 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1339.53 |
| 27760017 | 1569 | 1410607200 | 481.977 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1018.6 |
| 27760018 | 1569 | 1410607500 | 451.163 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -369.767 |
| 27760019 | 1569 | 1410607800 | 454.651 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 41.8605 |
| 27760020 | 1569 | 1410608100 | 595.349 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1688.37 |
| 27760021 | 1569 | 1410608400 | 744.767 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1793.02 |
| 27760022 | 1569 | 1410608700 | 660.465 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1011.63 |
| 27760023 | 1569 | 1410609000 | 454.651 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -2469.77 |
| 27760024 | 1569 | 1410609300 | 387.791 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -802.326 |
| 27760025 | 1569 | 1410609600 | 349.419 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -460.465 |
| 27760026 | 1569 | 1410609900 | 466.279 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1402.33 |
| 27760027 | 1569 | 1410610200 | 478.488 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 146.512 |
| 27760028 | 1569 | 1410610500 | 412.209 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -795.349 |
| 27760029 | 1569 | 1410610800 | 350.581 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -739.535 |
| 27760030 | 1569 | 1410611100 | 322.674 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -334.884 |
| 27760031 | 1569 | 1410611400 | 426.744 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1248.84 |
| 27760032 | 1569 | 1410611700 | 487.791 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 732.558 |
| 27760033 | 1569 | 1410612000 | 472.093 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -188.372 |
| 27760034 | 1569 | 1410612300 | 391.279 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -969.767 |
| 27760035 | 1569 | 1410612600 | 352.326 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -467.442 |
| 27760036 | 1569 | 1410612900 | 384.884 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 390.698 |
| 27760037 | 1569 | 1410613200 | 397.674 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 153.488 |
| 27760038 | 1569 | 1410613500 | 345.93 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -620.93 |
| 27760039 | 1569 | 1410613800 | 258.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1046.51 |
| 27760040 | 1569 | 1410614100 | 183.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -900 |
| 27760041 | 1569 | 1410614400 | 170.93 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -153.488 |
| 27760042 | 1569 | 1410614700 | 259.884 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1067.44 |
| 27760043 | 1569 | 1410615000 | 381.395 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1458.14 |
| 27760044 | 1569 | 1410615300 | 266.86 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1374.42 |
| 27760045 | 1569 | 1410615600 | 194.767 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -865.116 |
| 27760046 | 1569 | 1410615900 | 261.047 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 795.349 |
| 27760047 | 1569 | 1410616200 | 291.86 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 369.767 |
| 27760048 | 1569 | 1410616500 | 304.07 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 146.512 |
| 27760049 | 1569 | 1410616800 | 286.628 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -209.302 |
| 27760050 | 1569 | 1410617100 | 279.651 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -83.7209 |
| 27760051 | 1569 | 1410617400 | 283.721 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 48.8372 |
| 27760052 | 1569 | 1410617700 | 414.535 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1569.77 |
| 27760053 | 1569 | 1410618000 | 613.953 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 2393.02 |
| 27760054 | 1569 | 1410618300 | 545.93 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -816.279 |
| 27760055 | 1569 | 1410618600 | 522.093 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -286.047 |
| 27760056 | 1569 | 1410618900 | 417.442 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1255.81 |
| 27760057 | 1569 | 1410619200 | 323.837 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -1123.26 |
| 27760058 | 1569 | 1410619500 | 401.744 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 934.884 |
| 27760059 | 1569 | 1410619800 | 387.791 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -167.442 |
| 27760060 | 1569 | 1410620100 | 376.163 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -139.535 |
| 27760061 | 1569 | 1410620400 | 445.349 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 830.233 |
| 27760062 | 1569 | 1410620700 | 431.395 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -167.442 |
| 27760063 | 1569 | 1410621000 | 434.302 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 34.8837 |
| 27760064 | 1569 | 1410621300 | 547.093 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1353.49 |
| 27760065 | 1569 | 1410621600 | 557.558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 125.581 |
| 27760066 | 1569 | 1410621900 | 484.302 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -879.07 |
| 27760067 | 1569 | 1410622200 | 482.558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -20.9302 |
| 27760068 | 1569 | 1410622500 | 675.581 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 2316.28 |
| 27760069 | 1569 | 1410622800 | 807.558 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | 1583.72 |
| 27760070 | 1569 | 1410623100 | 773.837 | 2015-04-23 11:57:39 | 2015-04-23 11:57:39 | -404.651 |
.. etc
按小时分组的输出数据示例
+----------------+--------------------+----------------------+
| date_time_n_hr | sum_float_value_1 | sum_flaot_value_2 |
+----------------+--------------------+----------------------+
| 1410591600 | 395.3488349914551 | 286.0465211868286 |
| 1410595200 | 3172.6744232177734 | 1988.371980190277 |
| 1410598800 | 4523.837203979492 | 3941.8605613708496 |
| 1410602400 | 4826.162811279297 | -2225.5813941955566 |
| 1410606000 | 6233.7208251953125 | 209.30242156982422 |
| 1410609600 | 4894.7674560546875 | -34.88380432128906 |
| 1410613200 | 3316.8604736328125 | -969.7673645019531 |
| 1410616800 | 4853.488342285156 | 865.1161994934082 |
| 1410620400 | 6665.697814941406 | 544.1861915588379 |
| 1410624000 | 7529.069732666016 | 4102.32551574707 |
| 1410627600 | 3620.930221557617 | -7981.395439147949 |
| 1410631200 | 979.6511611938477 | -481.3953628540039 |
| 1410634800 | 205.23256015777588 | -530.2325592041016 |
| 1410674400 | 8.720930099487305 | -0.45500504970550537 |
| 1410678000 | 1950.0000143051147 | 4723.25577545166 |
| 1410681600 | 9331.976806640625 | 8741.86051940918 |
| 1410685200 | 17227.9072265625 | 7179.069899082184 |
| 1410688800 | 23849.418334960938 | 2183.7211303710938 |
| 1410692400 | 26435.465087890625 | 2762.790672302246 |
| 1410696000 | 27538.953735351562 | 739.5348663330078 |
| 1410699600 | 25251.744140625 | 3920.9302978515625 |
| 1410703200 | 23297.67431640625 | -7758.139587402344 |
| 1410706800 | 16787.20928955078 | -10772.0927734375 |
| 1410710400 | 10172.67431640625 | -3223.255828857422 |
.. etc
答案 0 :(得分：1)
您按年，月，日和小时正确分组。但你展示的是不同的。什么是date_time * 12应该代表什么？首先，你随机抓取一个与小时匹配的date_times。然后你将它乘以12.假设date_time是2015年3月6日上午11:00。当你乘以那个日期时间时，你认为你得到了什么？这根本没有意义。
正确的查询将是例如：
select
date_format(date_time,'%Y%m%d %H'),
sum(float_value_1),
sum(float_value_2)
from location_data
where unique_id = 1616
group by date_format(date_time,'%Y%m%d %H');
如果你想要一小时的时间，它会变得有点复杂，因为小时，分钟和秒是测量值，但是四分之一小时是这样一个量度（小时）的量（四分之一）。因此，我们必须找出date_time所在的四分之一小时：
select
concat(
date_format(date_time,'%Y%m%d %H'),
case
when minute(date_time) between 0 and 14 then 'Q1'
when minute(date_time) between 15 and 29 then 'Q2'
when minute(date_time) between 30 and 44 then 'Q3'
when minute(date_time) between 45 and 59 then 'Q4'
end
) as quarter,
sum(float_value_1),
sum(float_value_2)
from location_data
where unique_id = 1616
group by
concat(
date_format(date_time,'%Y%m%d %H'),
case
when minute(date_time) between 0 and 14 then 'Q1'
when minute(date_time) between 15 and 29 then 'Q2'
when minute(date_time) between 30 and 44 then 'Q3'
when minute(date_time) between 45 and 59 then 'Q4'
end
);
或者使用派生表，以避免重复评估季度：
select
quarter, sum(float_value_1), sum(float_value_2)
from
(
select
location_data.*,
concat(
date_format(date_time,'%Y%m%d %H'),
case
when minute(date_time) between 0 and 14 then 'Q1'
when minute(date_time) between 15 and 29 then 'Q2'
when minute(date_time) between 30 and 44 then 'Q3'
when minute(date_time) between 45 and 59 then 'Q4'
end
) as quarter
from location_data
where unique_id = 1616
) as quarters
group by quarter;