我需要获取我们的呼叫中心之一中每个座席之间的平均通话时间。这些是我到目前为止的查询：
--This query gets all the agentIDs and their callstarts and callends, and as far as I know, attaches an incrementing row-number to them.
drop table #thuranin
SELECT AgentID, CallStart, CallEnd, row_number() over (order by (select NULL)) AS rowInt
INTO #thuranin
FROM Main.CallRecord
WHERE DialerPoolManagementID is null and incomingcall = 0
ORDER BY AgentID
--This query attempts to get the time between each call
drop table #ploto
SELECT nin.AgentID, (CAST(ISNULL(th.CallStart, 0) - nin.CallEnd AS float)) AS AverageTimeBetween
INTO #ploto
FROM #thuranin nin
LEFT JOIN #thuranin AS th ON th.rowInt = (SELECT MIN(rowInt) FROM #thuranin WHERE rowInt > #thuranin.rowInt AND AgentID=th.AgentID)
--This query should average the times by agent
SELECT agentID, AVG(ABS(AverageTimeBetween)) as avGTimebwn
FROM #ploto
WHERE ABS(AverageTimeBetween) > 20000
GROUP BY AgentID
但是，这失败了（因此为什么我在这里）。它返回的值是-40000，但我不确定为什么。我需要获取每个座席从通话结束到通话开始之间的平均时间。
我知道，从一天结束到第二天开始的通话可能会增加该数字，但是我不确定如何处理。
如果有帮助，这里是#thuranin临时表中的一百行样本：
AgentID CallStart CallEnd rowInt
NULL 2013-05-29 13:48:39.000 2013-05-29 13:57:20.000 139541
191 2013-05-29 13:50:16.000 2013-05-29 13:50:43.000 139581
NULL 2013-05-29 13:52:04.000 2013-05-29 13:52:46.000 139621
115 2013-05-29 13:53:20.000 2013-05-29 13:53:21.000 139661
190 2013-05-29 13:56:27.000 2013-05-29 13:57:59.000 139701
NULL 2013-05-29 13:58:46.000 2013-05-29 13:59:44.000 139741
171 2013-05-03 18:37:07.000 2013-05-03 18:37:14.000 139781
NULL 2013-05-03 18:39:49.000 2013-05-03 18:41:52.000 139821
107 2013-05-03 18:42:32.000 2013-05-03 18:42:38.000 139861
184 2013-05-03 18:45:38.000 2013-05-03 18:46:08.000 139901
NULL 2013-05-03 18:47:07.000 2013-05-03 18:47:57.000 139941
31 2013-06-14 15:22:02.000 2013-06-14 15:22:44.000 139981
31 2013-06-14 15:24:47.000 2013-06-14 15:25:16.000 140021
31 2013-06-14 15:29:10.000 2013-06-14 15:29:11.000 140061
31 2013-06-14 15:33:57.000 2013-06-14 15:34:06.000 140101
31 2013-06-14 15:41:32.000 2013-06-14 15:42:18.000 140141
172 2013-04-24 21:48:47.000 2013-04-24 21:51:45.000 140181
169 2013-04-24 21:50:42.000 2013-04-24 21:50:53.000 140221
65 2013-04-24 21:52:47.000 2013-04-24 21:52:54.000 140261
169 2013-04-24 21:57:49.000 2013-04-24 21:57:57.000 140301
NULL 2013-04-24 22:04:59.000 2013-04-24 22:06:11.000 140341
31 2013-06-20 14:37:45.000 2013-06-20 14:38:29.000 140381
31 2013-06-20 14:40:27.000 2013-06-20 14:41:09.000 140421
31 2013-06-20 14:44:05.000 2013-06-20 14:44:39.000 140461
31 2013-06-20 14:50:53.000 2013-06-20 14:51:17.000 140501
31 2013-06-20 14:58:52.000 2013-06-20 14:59:24.000 140541
31 2013-07-10 19:54:21.000 2013-07-10 19:54:31.000 140581
31 2013-07-10 20:01:24.000 2013-07-10 20:01:51.000 140621
31 2013-07-10 20:06:23.000 2013-07-10 20:07:14.000 140661
31 2013-07-10 20:09:46.000 2013-07-10 20:09:56.000 140701
31 2013-07-10 20:12:10.000 2013-07-10 20:12:49.000 140741
31 2013-07-10 20:14:45.000 2013-07-10 20:14:59.000 140781
175 2013-07-01 22:35:54.000 2013-07-01 22:36:14.000 140821
191 2013-07-01 22:42:29.000 2013-07-01 22:43:43.000 140861
175 2013-07-01 22:49:42.000 2013-07-01 22:49:57.000 140901
107 2013-07-01 22:59:39.000 2013-07-01 23:00:48.000 140941
191 2013-07-01 23:09:52.000 2013-07-01 23:10:52.000 140981
NULL 2013-04-02 15:47:14.000 2013-04-02 15:48:06.000 141021
NULL 2013-04-02 15:48:48.000 2013-04-02 15:49:07.000 141061
NULL 2013-04-02 15:50:03.000 2013-04-02 15:50:53.000 141101
196 2013-04-02 15:52:05.000 2013-04-02 15:52:52.000 141141
NULL 2013-04-02 15:53:03.000 2013-04-02 15:53:06.000 141181
NULL 2013-05-08 16:17:54.000 2013-05-08 16:18:10.000 141221
140 2013-05-08 16:19:53.000 2013-05-08 16:20:05.000 141261
188 2013-05-08 16:21:34.000 2013-05-08 16:38:04.000 141301
NULL 2013-05-08 16:23:22.000 2013-05-08 16:25:02.000 141341
NULL 2013-05-08 16:25:16.000 2013-05-08 16:27:02.000 141381
31 2013-07-01 23:13:21.000 2013-07-01 23:14:24.000 141421
31 2013-07-01 23:24:23.000 2013-07-01 23:25:23.000 141461
31 2013-07-01 23:40:14.000 2013-07-01 23:40:50.000 141501
31 2013-07-01 23:44:35.000 2013-07-01 23:45:18.000 141541
31 2013-07-01 23:51:58.000 2013-07-01 23:54:33.000 141581
31 2013-07-02 13:03:17.000 2013-07-02 13:04:21.000 141621
158 2013-07-02 13:10:14.000 2013-07-02 13:11:09.000 141661
189 2013-07-02 13:13:48.000 2013-07-02 13:13:55.000 141701
202 2013-07-02 13:16:42.000 2013-07-02 13:16:42.000 141741
107 2013-07-02 13:19:31.000 2013-07-02 13:19:48.000 141781
31 2013-07-02 13:22:31.000 2013-07-02 13:24:44.000 141821
NULL 2013-03-21 18:59:22.000 2013-03-21 19:00:20.000 141861
NULL 2013-03-21 19:01:20.000 2013-03-21 19:01:30.000 141901
112 2013-03-21 19:03:29.000 2013-03-21 19:04:02.000 141941
159 2013-03-21 19:05:27.000 2013-03-21 19:06:31.000 141981
169 2013-03-21 19:07:25.000 2013-03-21 19:08:32.000 142021
NULL 2013-03-15 14:03:40.000 2013-03-15 14:04:14.000 142061
NULL 2013-03-15 14:04:41.000 2013-03-15 14:05:01.000 142101
NULL 2013-03-15 14:06:08.000 2013-03-15 14:07:10.000 142141
NULL 2013-03-15 14:07:47.000 2013-03-15 14:08:48.000 142181
65 2013-03-15 14:09:02.000 2013-03-15 14:09:17.000 142221
183 2013-05-21 17:25:14.000 2013-05-21 17:26:29.000 142261
NULL 2013-05-21 17:27:59.000 2013-05-21 17:28:35.000 142301
NULL 2013-05-21 17:31:42.000 2013-05-21 17:32:47.000 142341
166 2013-05-21 17:35:05.000 2013-05-21 17:36:01.000 142381
182 2013-05-21 17:37:38.000 2013-05-21 17:37:48.000 142421
166 2013-05-21 17:39:46.000 2013-05-21 17:40:21.000 142461
166 2013-04-24 22:13:50.000 2013-04-24 22:14:46.000 142501
65 2013-04-24 22:22:18.000 2013-04-24 22:22:21.000 142541
182 2013-04-24 22:25:54.000 2013-04-24 22:26:01.000 142581
116 2013-04-24 22:31:14.000 2013-04-24 22:31:23.000 142621
182 2013-04-24 22:35:55.000 2013-04-24 22:36:10.000 142661
31 2013-06-20 15:12:42.000 2013-06-20 15:13:39.000 142701
31 2013-06-20 15:20:08.000 2013-06-20 15:20:28.000 142741
31 2013-06-20 15:23:29.000 2013-06-20 15:23:45.000 142781
31 2013-06-20 15:26:39.000 2013-06-20 15:27:06.000 142821
31 2013-06-20 15:28:57.000 2013-06-20 15:29:44.000 142861
NULL 2013-04-24 22:37:50.000 2013-04-24 22:38:37.000 142901
NULL 2013-04-24 22:40:07.000 2013-04-24 22:41:41.000 142941
116 2013-04-24 22:45:09.000 2013-04-24 22:45:24.000 142981
187 2013-04-24 22:48:15.000 2013-04-24 22:48:24.000 143021
NULL 2013-04-24 22:54:57.000 2013-04-24 22:55:33.000 143061
NULL 2013-05-01 21:36:20.000 2013-05-01 21:37:44.000 143101
NULL 2013-05-01 21:39:56.000 2013-05-01 21:40:11.000 143141
NULL 2013-05-01 21:43:57.000 2013-05-01 21:46:34.000 143181
NULL 2013-05-01 21:49:29.000 2013-05-01 21:49:43.000 143221
NULL 2013-05-01 21:56:55.000 2013-05-01 21:57:26.000 143261
NULL 2013-05-01 22:03:51.000 2013-05-01 22:04:34.000 143301
85 2013-07-10 20:16:50.000 2013-07-10 20:16:52.000 143341
31 2013-07-10 20:19:46.000 2013-07-10 20:20:00.000 143381
31 2013-07-10 20:24:22.000 2013-07-10 20:25:03.000 143421
31 2013-07-10 20:26:23.000 2013-07-10 20:27:32.000 143461
31 2013-07-10 20:28:03.000 2013-07-10 20:28:51.000 143501
答案 0 :(得分：1)
我真的想了解您的#ploto一代，但事实并非如此。例如，我不了解联接以及您要选择的内容，为什么当它为null（意味着1900/01/01）时为什么要获得0。同样，减去日期时间并强制转换为浮点数是一种很难遵循的以天为单位获取时间的方法。
根据您的描述，这就是我的推断：
WITH ploto
AS (SELECT AgentId,
CallEnd,
LEAD(CallStart) OVER (PARTITION BY agentId ORDER BY CallStart) AS nextCall
FROM #thuranin)
SELECT AgentId,
AVG(DATEDIFF(SECOND, CallEnd, nextCall)) AS average
FROM ploto
WHERE nextCall > CallEnd
AND DATEDIFF(HOUR, callEnd, nextCall) < 6
GROUP BY AgentID;
使用示例数据集输出的时间（以秒为单位）：
AgentId Average
NULL 287
31 326
65 1764
116 826
166 225
169 416
175 808
182 594
191 1569
编辑：一些解释。您没有指定版本，所以我至少假设使用MS SQL2012。有些CallStarts（和CallEnd）与以前的版本（AgentId为NULL）重叠。我从支票上删除了它们。还可以任意假设，如果一个CallEnd与下一个CallStart之间的间隔时间超过6个小时，那么我应该认为员工的工作已经结束并且她\他回家了，那不应该算在内。