時間単位の合計と効率の計算

Question

初心者用SQL。ある時間内に時間単位で機械で何個の商品が詰め込まれているかを要約する方法を考え出しています。

は、私は2つのテーブルがあります： - ストアジョブ&終了時刻

録音テーブルを開始 -

1. セッションテーブルのユーザによって記録された機械によって詰め込まどのように多くの製品上のデータを格納するごとに5分または10分を

セッションテーブル

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 

サンプルr ECORD表：

 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 A00000ABC1234567 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 

サンプル表から、私は決定したい：

1. 時速TOTALの合計。
2. 1時間当たりの包装機械効率。

    Time   Total Mach_Speed Efficiency (%) 
   2017-04-21 07:00 960  880   109.09 
   

   は、誰でも助けることができる感謝：時間は880あるごとに製品をパックすることができ、マシンを想定し、効率が* =（時速TOTALの合計）880分の100

結果はフォーマット以下のようになるだろうこれに。

Answer 1

テストされていないSQL Server 2012の構文：

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)