Sql 按小时和；计算效率百分比
SQL新手。我试图想出一个方法，总结一下，一段时间内机器每小时包装多少货物 我有两张桌子：Sql 按小时和；计算效率百分比,sql,sql-server,time,Sql,Sql Server,Time,SQL新手。我试图想出一个方法，总结一下，一段时间内机器每小时包装多少货物 我有两张桌子： 会话表-存储作业开始和结束时间 记录表-存储用户每5或10分钟记录的机器包装的产品数量数据 会话表 SES_ID SES_NOTE SES_START SES_END 1 A000000001 2017-04-21 07:10:20 2017-04-21 15:10:10 2 A000000078 2017-04-21 15:20:33
SES_ID SES_NOTE SES_START SES_END
1 A000000001 2017-04-21 07:10:20 2017-04-21 15:10:10
2 A000000078 2017-04-21 15:20:33 2017-04-21 23:10:25
TIME REC_NOTE SKU TOTAL SES_NOTE
2017-04-21 07:10:20 A000000001 ABC1234567 90 A000000001
2017-04-21 07:15:11 A000000002 ABC1234567 97 A000000001
2017-04-21 07:20:33 A000000003 ABC1234567 80 A000000001
2017-04-21 07:30:06 A000000004 ABC1234567 111 A000000001
2017-04-21 07:40:23 A000000005 ABC1234567 120 A000000001
2017-04-21 07:45:44 A000000006 ABC1234567 89 A000000001
2017-04-21 07:50:18 A000000007 ABC1234567 92 A000000001
2017-04-21 08:00:15 A000000008 ABC1234567 87 A000000001
2017-04-21 08:05:01 A000000009 ABC1234567 95 A000000001
2017-04-21 08:10:22 A000000010 ABC1234567 99 A000000001
2017-04-24 08:20:38 A000000011 ABC1234567 126 A000000001
2017-04-21 08:30:50 A000000012 ABC1234568 118 A000000001
2017-04-21 08:40:27 A000000013 ABC1234567 130 A000000001
2017-04-21 08:45:48 A000000014 ABC1234567 89 A000000001
2017-04-21 08:50:36 A000000015 ABC1234567 99 A000000001
2017-04-21 09:00:58 A000000016 ABC1234567 98 A000000001
2017-04-21 09:05:54 A000000017 ABC1234567 89 A000000001
2017-04-21 09:10:12 A000000018 ABC1234567 95 A000000001
2017-04-21 09:20:29 A000000019 ABC1234567 99 A000000001
2017-04-21 09:25:25 A000000020 ABC1234567 99 A000000001
2017-04-21 09:30:29 A000000021 ABC1234567 100 A000000001
2017-04-21 09:40:45 A000000022 ABC1234567 130 A000000001
2017-04-21 09:50:31 A000000023 ABC1234567 120 A000000001
2017-04-21 10:00:02 A000000024 ABC1234567 110 A000000001
2017-04-21 10:05:05 A000000025 ABC1234567 111 A000000001
2017-04-21 10:10:23 A000000026 ABC1234567 77 A000000001
2017-04-21 10:15:56 A000000027 ABC1234567 69 A000000001
2017-04-21 10:20:01 A000000028 ABC1234567 80 A000000001
2017-04-21 10:25:02 A000000029 ABC1234567 85 A000000001
2017-04-21 10:30:07 A000000030 ABC1234567 89 A000000001
2017-04-21 10:35:09 A000000031 ABC1234567 80 A000000001
2017-04-21 10:40:13 A000000032 ABC1234567 60 A000000001
2017-04-21 10:50:41 A000000033 ABC1234567 120 A000000001
2017-04-21 10:55:48 A000000034 ABC1234567 59 A000000001
2017-04-21 11:00:10 A000000035 ABC1234567 78 A000000001
2017-04-21 11:05:23 A000000036 ABC1234567 82 A000000001
2017-04-21 11:10:11 A000000037 ABC1234567 99 A000000001
2017-04-21 11:20:26 A000000038 ABC1234567 119 A000000001
2017-04-21 11:25:33 A000000039 ABC1234567 75 A000000001
2017-04-21 11:30:56 A000000040 ABC1234567 76 A000000001
2017-04-21 11:35:43 A000000041 ABC1234567 67 A000000001
2017-04-21 11:40:24 A000000042 ABC1234567 84 A000000001
2017-04-21 11:50:12 A000000043 ABC1234567 99 A000000001
2017-04-21 11:55:28 A000000044 ABC1234567 74 A000000001
2017-04-21 12:00:01 A000000045 ABC1234568 80 A000000001
2017-04-21 12:05:04 A000000046 ABC1234568 77 A000000001
2017-04-21 12:10:17 A000000047 ABC1234568 90 A000000001
2017-04-21 12:20:41 A000000048 ABC1234568 89 A000000001
2017-04-21 12:25:11 A000000049 ABC1234568 88 A000000001
2017-04-21 12:30:54 A000000050 ABC1234567 90 A000000001
2017-04-21 12:35:31 A000000051 ABC1234567 79 A000000001
2017-04-21 12:40:21 A000000052 ABC1234567 90 A000000001
2017-04-21 12:50:14 A000000053 ABC1234567 80 A000000001
2017-04-21 12:55:09 A000000054 MB145103632 90 A000000001
2017-04-21 13:00:02 A000000055 ABC1234567 93 A000000001
2017-04-21 13:05:08 A000000056 ABC1234567 90 A000000001
2017-04-21 13:10:50 A000000057 ABC1234567 70 A000000001
2017-04-21 13:20:44 A000000058 ABC1234567 65 A000000001
2017-04-21 13:25:37 A000000059 ABC1234567 90 A000000001
2017-04-21 13:30:12 A000000060 ABC1234567 89 A000000001
2017-04-21 13:35:23 A000000061 ABC1234567 70 A000000001
2017-04-21 13:40:41 A000000062 ABC1234567 78 A000000001
2017-04-21 13:50:13 A000000063 ABC1234567 120 A000000001
2017-04-21 13:55:13 A000000064 ABC1234567 85 A000000001
2017-04-21 14:00:09 A000000065 ABC1234567 77 A000000001
2017-04-21 14:05:00 A000000066 ABC1234567 86 A000000001
2017-04-21 14:10:49 A000000067 ABC1234567 80 A000000001
2017-04-21 14:15:18 A000000068 ABC1234567 91 A000000001
2017-04-21 14:20:13 A000000069 ABC1234568 65 A000000001
2017-04-21 14:25:19 A000000070 ABC1234568 80 A000000001
2017-04-21 14:30:48 A000000071 ABC1234568 80 A000000001
2017-04-21 14:35:37 A000000072 ABC1234568 71 A000000001
2017-04-21 14:40:44 A000000073 ABC1234567 75 A000000001
2017-04-21 14:50:51 A000000074 ABC1234568 77 A000000001
2017-04-21 14:55:27 A000000075 ABC1234568 76 A000000001
2017-04-21 15:00:35 A000000076 ABC1234567 69 A000000001
2017-04-21 15:10:10 A000000077 ABC1234568 79 A000000001
2017-04-21 15:20:33 A000000078 ABC1234567 99 A000000078
2017-04-21 15:25:06 A000000079 ABC1234568 80 A000000078
2017-04-21 15:30:23 A000000080 ABC1234568 82 A000000078
2017-04-21 15:35:44 A000000081 ABC1234567 70 A000000078
2017-04-21 15:40:18 A000000082 ABC1234568 60 A000000078
2017-04-21 15:50:15 A000000083 ABC1234567 99 A000000078
2017-04-21 15:55:01 A000000084 ABC1234567 111 A000000078
2017-04-21 16:00:22 A000000085 ABC1234567 74 A000000078
2017-04-24 16:05:38 A000000086 ABC1234567 81 A000000078
2017-04-21 16:10:50 A000000087 ABC1234567 85 A000000078
2017-04-21 16:20:27 A000000088 ABC1234567 84 A000000078
2017-04-21 16:30:48 A000000089 ABC1234567 136 A000000078
2017-04-21 16:40:36 A000000090 ABC1234567 114 A000000078
2017-04-21 16:45:58 A000000091 ABC1234567 106 A000000078
2017-04-21 16:50:54 A000000092 10304201 83 A000000078
2017-04-21 16:55:12 A000000093 10304201 60 A000000078
2017-04-21 17:00:29 A000000094 10304201 89 A000000078
2017-04-21 17:05:25 A000000095 10304201 99 A000000078
2017-04-21 17:10:29 A000000096 10304201 99 A000000078
2017-04-21 17:20:45 A000000097 10304201 73 A000000078
2017-04-21 17:30:31 A000000098 10304202A 120 A000000078
2017-04-21 17:35:02 A000000099 18312101 125 A000000078
2017-04-21 17:40:05 A000000100 18314402 75 A000000078
2017-04-21 17:45:23 A000000101 18312101 60 A000000078
2017-04-21 17:50:56 A000000102 10304202T 76 A000000078
2017-04-21 17:55:01 A000000103 10304201 64 A000000078
2017-04-21 18:00:02 A000000104 10304201 79 A000000078
2017-04-21 18:05:07 A000000105 10304201 80 A000000078
2017-04-21 18:10:25 A000000106 10304201 75 A000000078
2017-04-21 18:20:29 A000000107 10304201 70 A000000078
2017-04-21 18:25:45 A000000108 10304202T 89 A000000078
2017-04-21 18:30:31 A000000109 ABC1234567 79 A000000078
2017-04-21 18:35:02 A000000110 ABC1234567 89 A000000078
2017-04-21 18:40:05 A000000111 ABC1234567 68 A000000078
2017-04-21 18:50:23 A000000112 ABC1234567 70 A000000078
2017-04-21 18:55:56 A000000113 ABC1234567 130 A000000078
2017-04-21 19:00:01 A000000114 ABC1234567 77 A000000078
2017-04-21 19:05:07 A000000115 ABC1234567 60 A000000078
2017-04-21 19:10:25 A000000116 ABC1234567 111 A000000078
2017-04-21 19:20:29 A000000117 ABC1234567 85 A000000078
2017-04-21 19:25:45 A000000118 ABC1234567 84 A000000078
2017-04-21 19:30:31 A000000119 ABC1234567 73 A000000078
2017-04-21 19:35:02 A000000120 ABC1234567 80 A000000078
2017-04-21 19:40:05 A000000121 ABC1234567 69 A000000078
2017-04-21 19:50:23 A000000122 ABC1234567 70 A000000078
2017-04-21 19:55:56 A000000123 ABC1234567 120 A000000078
2017-04-21 20:00:01 A000000124 ABC1234567 77 A000000078
2017-04-21 20:05:07 A000000125 ABC1234567 83 A000000078
2017-04-21 20:10:25 A000000126 ABC1234567 117 A000000078
2017-04-21 20:20:29 A000000127 ABC1234567 83 A000000078
2017-04-21 20:25:45 A000000128 ABC1234567 79 A000000078
2017-04-21 20:30:31 A000000129 ABC1234567 66 A000000078
2017-04-21 20:35:02 A000000130 ABC1234567 65 A000000078
2017-04-21 20:40:05 A000000131 ABC1234567 80 A000000078
2017-04-21 20:50:23 A000000132 ABC1234567 74 A000000078
2017-04-21 20:55:56 A000000133 ABC1234567 120 A000000078
2017-04-21 21:00:01 A000000134 ABC1234567 87 A000000078
2017-04-21 21:05:07 A000000135 ABC1234567 81 A000000078
2017-04-21 21:10:25 A000000136 ABC1234567 130 A000000078
2017-04-21 21:20:29 A000000137 ABC1234567 78 A000000078
2017-04-21 21:25:45 A000000138 ABC1234567 85 A000000078
2017-04-21 21:30:31 A000000139 ABC1234567 64 A000000078
2017-04-21 21:35:02 A000000140 ABC1234567 76 A000000078
2017-04-21 21:40:05 A000000141 ABC1234567 86 A000000078
2017-04-21 21:50:23 A000000142 ABC1234567 76 A000000078
2017-04-21 21:55:56 A000000143 ABC1234567 135 A000000078
2017-04-21 22:00:01 A000000144 ABC1234567 66 A000000078
2017-04-21 22:05:07 A000000145 ABC1234567 50 A000000078
2017-04-21 22:10:25 A000000146 ABC1234567 126 A000000078
2017-04-21 22:20:29 A000000147 ABC1234567 88 A000000078
2017-04-21 22:25:45 A000000148 ABC1234567 68 A000000078
2017-04-21 22:30:31 A000000149 ABC1234567 79 A000000078
2017-04-21 22:35:02 A000000150 ABC1234567 89 A000000078
2017-04-21 22:40:05 A000000151 ABC1234567 85 A000000078
2017-04-21 22:50:23 A000000152 ABC1234567 77 A000000078
2017-04-21 22:55:56 A000000153 ABC1234567 90 A000000078
2017-04-21 23:00:01 A000000154 ABC1234567 87 A000000078
2017-04-21 23:05:07 A000000155 ABC1234567 74 A000000078
2017-04-21 23:10:25 A000000156 ABC1234567 121 A000000078
Time Total Mach_Speed Efficiency (%)
2017-04-21 07:00 960 880 109.09
感谢任何人在此方面提供帮助。未经测试的SQL Server 2012语法：
SELECT DATETIMEFROMPARTS(YEAR(TIME), MONTH(TIME), DAY(TIME), DATEPART(HOUR, TIME), 0, 0, 0) AS [Hour]
, SUM(TOTAL) AS [Total]
FROM Records
GROUP BY DATETIMEFROMPARTS(YEAR(TIME), MONTH(TIME), DAY(TIME), DATEPART(HOUR, TIME), 0, 0, 0)
我很难看到会话表数据的来源。您的结果看起来只是按日期和时间分组。是否忽略了其他表中不在会话表中明确日期范围内的任何时间？从何处获得切割速度？您的解释与示例数据不同吗？错误说明“'HOUR'不是可识别的内置函数名”。我使用的是MS SQL Express 2014版本12.0.2269.0