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我在 sql 中有一个表，如下所示：

ID          JOB_NAME                START_DATE_TIME         END_DATE_TIME

748425  HOURLY_PLAZA_MISSING    2013-10-30 13:15:01.040 2013-10-30 13:15:14.420
748424  HOURLY_AUTOREPL         2013-10-30 13:05:00.950 2013-10-30 13:05:02.390
748423  HOURLY_LANE             2013-10-30 13:00:01.500 2013-10-30 13:00:10.080
748422  HOURLY_EMAIL            2013-10-30 13:00:01.460 2013-10-30 13:02:00.650
748421  HOURLY_EASYPAY          2013-10-30 13:00:01.410 2013-10-30 13:00:04.820
748420  HOURLY_PROCESS          2013-10-30 13:00:01.290 2013-10-30 13:25:11.450
748419  HOURLY_COPY_SUSPENSE    2013-10-30 13:00:01.240 2013-10-30 13:03:39.660
748418  HOURLY_I95              2013-10-30 13:00:01.230 2013-10-30 13:19:46.170
748414  HOURLY_PLAZA_MISSING    2013-10-30 12:15:01.020 2013-10-30 12:15:04.070
748413  HOURLY_PROCESS          2013-10-30 12:06:30.480 2013-10-30 12:31:41.610
748411  HOURLY_AUTOREPL         2013-10-30 12:05:01.070 2013-10-30 12:05:02.440
748409  HOURLY_I95              2013-10-30 12:00:01.430 2013-10-30 12:45:48.060
748408  HOURLY_EMAIL            2013-10-30 12:00:01.420 2013-10-30 12:02:14.620
748406  HOURLY_EASYPAY          2013-10-30 12:00:01.330 2013-10-30 12:00:04.640

如果您仔细注意到，工作在 2013-10-30 12:06:30.480 和 2013-10-30 13:00:01.290 每小时重复一次

我需要一个 sql 查询，它将显示如下输出：

JOB_NAME                Average_Time of Execution
HOURLY_PROCESS         (END_DATE_TIME-START_DATE_TIME)/Last 10 occurances of HOURLY_PROCESS

有人可以帮我吗？

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1 回答 1

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如果您满足于以秒为单位显示差异，这是一种方法。

select job_name, (sum(diff_ms/1000.0) / count(*)) as avg_seconds
from (select t.*,
             datediff(ms, start_date_time, end_datetime) as diff_ms
             row_number() over (partition by job_name order by start_date_time desc) as seqnum
      from t
     ) t
where seqnum <= 10
group by job_name;
于 2013-10-30T18:01:56.450 回答