根据以下数据，我们如何转换为CPU闲置和使用的百分比，汇总到一天？
例如，我正在寻找聚合状态以显示当天18-JUN-15的CPU利用率为97％空闲且10％忙碌，第19天-JUN-15％为80％空闲且20％忙碌......等等
18-JUN-15 05.00.15.571 AM 98.75 .69 .55 .01
18-JUN-15 06.00.18.183 AM 98.37 1 .63 .01
18-JUN-15 07.00.03.804 AM 97.67 1.56 .76 .01
18-JUN-15 08.00.07.987 AM 97.78 1.46 .75 .01
18-JUN-15 09.00.00.707 AM 97.8 1.44 .75 .01
18-JUN-15 10.00.03.628 AM 97.06 2.09 .84 .01
18-JUN-15 11.00.06.660 AM 97.92 1.36 .71 .01
18-JUN-15 12.00.09.538 PM 97.93 1.34 .72 0
18-JUN-15 01.00.12.455 PM 97.95 1.31 .73 .01
18-JUN-15 02.00.15.177 PM 97.92 1.34 .73 .01
18-JUN-15 03.00.17.829 PM 98.11 1.18 .7 .01
18-JUN-15 04.00.20.657 PM 98.58 .82 .59 .01
18-JUN-15 05.00.23.284 PM 94.32 4.29 1.38 .01
18-JUN-15 06.00.26.366 PM 91.97 6.38 1.64 .01
18-JUN-15 07.00.30.108 PM 98.51 .88 .6 .01
18-JUN-15 08.00.34.282 PM 98.78 .67 .55 .01
18-JUN-15 09.00.02.411 PM 96.39 3.01 .59 .01
18-JUN-15 10.00.05.019 PM 97.91 1.53 .55 .01
18-JUN-15 11.00.07.827 PM 98.64 .79 .56 .01
19-JUN-15 12.00.10.329 AM 98.07 1.27 .65 0
19-JUN-15 01.00.12.954 AM 98.65 .79 .56 0
19-JUN-15 02.00.15.499 AM 96.9 2.23 .86 .01
19-JUN-15 03.00.18.041 AM 98.75 .68 .57 .01
19-JUN-15 04.00.01.618 AM 98.72 .71 .56 .01
19-JUN-15 05.00.05.221 AM 98.73 .7 .56 .01
19-JUN-15 06.00.08.719 AM 98.48 .91 .61 .01
19-JUN-15 07.00.12.035 AM 97.39 1.79 .81 .01
19-JUN-15 08.00.14.827 AM 97.42 1.76 .81 .01
19-JUN-15 09.00.17.804 AM 97.4 1.76 .83 .01
19-JUN-15 10.00.20.560 AM 97.98 1.29 .72 .01
19-JUN-15 11.00.02.756 AM 98.07 1.23 .7 .01
19-JUN-15 12.00.07.015 PM 98.1 1.2 .7 .01
19-JUN-15 01.00.10.953 PM 98.03 1.24 .72 .01
19-JUN-15 02.00.15.406 PM 97.84 1.42 .73 .01
19-JUN-15 03.00.19.628 PM 98.03 1.25 .72 .01
19-JUN-15 04.00.24.111 PM 98.56 .83 .6 .01
19-JUN-15 05.00.28.252 PM 94.54 4.13 1.33 0
19-JUN-15 06.00.32.564 PM 89.79 8.2 2 .01
19-JUN-15 07.00.01.336 PM 98.6 .8 .59 .01
19-JUN-15 08.00.05.105 PM 98.76 .68 .55 .01
19-JUN-15 09.00.07.931 PM 96.08 3.29 .62 .01
19-JUN-15 10.00.10.508 PM 97.87 1.57 .56 .01
答案 0 :(得分：1)
基本汇总与链接问题相同：
select trunc(begin_interval_time) as day,
avg(idle_time) as avg_idle,
100 - avg(idle_time) as avg_busy
from your_table
group by trunc(begin_interval_time)
order by trunc(begin_interval_time);
DAY AVG_IDLE AVG_BUSY
---------- ---------- ----------
2015-06-18 97.4926316 2.50736842
2015-06-19 97.5113043 2.48869565
这使得'忙'与闲置相反;你可以改为添加其他三个值：
avg(user_time + sys_time + iowait_time) as avg_busy
但两者通常不会合计为100，因为值的精度不够高。
假设“上午9点至下午5点”意味着从09：00：00：00到16：59：59.999，您可以过滤9到16之间的小时：
select trunc(begin_interval_time) as day,
avg(idle_time) as avg_idle,
100 - avg(idle_time) as avg_busy
from your_table
where extract(hour from begin_interval_time) between 9 and 16
group by trunc(begin_interval_time)
order by trunc(begin_interval_time);
DAY AVG_IDLE AVG_BUSY
---------- ---------- ----------
2015-06-18 97.90875 2.09125
2015-06-19 98.00125 1.99875
如果您想查看工作时间和非工作时间，您可以起诉案件表达式：
select trunc(begin_interval_time) as day,
avg(case when extract(hour from begin_interval_time)
between 9 and 16 then idle_time end) as avg_idle_work,
100 - avg(case when extract(hour from begin_interval_time)
between 9 and 16 then idle_time end) as avg_busy_work,
avg(case when extract(hour from begin_interval_time)
not between 9 and 16 then idle_time end) as avg_idle_non_work,
100 - avg(case when extract(hour from begin_interval_time)
not between 9 and 16 then idle_time end) as avg_busy_non_work
from your_table
group by trunc(begin_interval_time)
order by trunc(begin_interval_time);
DAY AVG_IDLE_WORK AVG_BUSY_WORK AVG_IDLE_NON_WORK AVG_BUSY_NON_WORK
---------- ------------- ------------- ----------------- -----------------
2015-06-18 97.90875 2.09125 97.19 2.81
2015-06-19 98.00125 1.99875 97.25 2.75
如果这不是您对工作时间的意思，您可以修改extract()来电，将其拆分到您需要的任何地方。
你可能想要在计算过程中略微调整时间，具体取决于时间戳代表的内容;例如截断到小时级别，然后可以减去一个小时。这取决于是否说'19 -JUN-15 12.00.10.329 AM'应该计入18或19。如果你只是看工作时间，那可能无关紧要，你可能也不在乎......
答案 1 :(得分：0)
这将仅在每天上午9点到下午5点之间汇总每天的空闲时间。在24小时时间格式中，16与小于5pm相同。
Select TRUNC(BEGIN_INTERVAL_TIME) as BEGIN_DATE,
AVG(IDLE_TIME) as AVG_IDLE_TIME
From tbl
Where TO_CHAR(BEGIN_INTERVAL_TIME, 'HH24') Between 9 and 16
Group by TRUNC(BEGIN_INTERVAL_TIME)