sadf 输出的第二个字段是什么意思?

sadf 输出的第二个字段是什么意思?

当您使用sadf从数据文件制作报告时sysstat,将显示以下几行:

ncm     3       2015-05-11 03:57:15 UTC all     %%user  0.08
ncm     3       2015-05-11 03:57:15 UTC all     %%nice  0.00
ncm     3       2015-05-11 03:57:15 UTC all     %%system        0.08
ncm     3       2015-05-11 03:57:15 UTC all     %%iowait        0.00
ncm     3       2015-05-11 03:57:15 UTC all     %%steal 0.00
ncm     3       2015-05-11 03:57:15 UTC all     %%idle  99.84

这个输出的第二个字段是什么意思?

答案1

第二列(3)显示测量间隔很快。

% sar -u -o datafile 3 2
Linux 3.19.0-16-generic (mysecret)  11.05.2015  _x86_64_    (2 CPU)

12:01:20        CPU     %user     %nice   %system   %iowait    %steal     %idle
12:01:23        all      0,68      0,00      0,34      1,01      0,00     97,97
12:01:26        all      4,57      0,00      2,20      0,00      0,00     93,23
Average:        all      2,62      0,00      1,27      0,51      0,00     95,60

输出结果如下sadf

% sadf datafile         
mysecret    3   2015-05-11 10:01:23 UTC all %%user  0,68
mysecret    3   2015-05-11 10:01:23 UTC all %%nice  0,00
mysecret    3   2015-05-11 10:01:23 UTC all %%system    0,34
mysecret    3   2015-05-11 10:01:23 UTC all %%iowait    1,01
mysecret    3   2015-05-11 10:01:23 UTC all %%steal 0,00
mysecret    3   2015-05-11 10:01:23 UTC all %%idle  97,97
mysecret    3   2015-05-11 10:01:26 UTC all %%user  4,57
mysecret    3   2015-05-11 10:01:26 UTC all %%nice  0,00
mysecret    3   2015-05-11 10:01:26 UTC all %%system    2,20
mysecret    3   2015-05-11 10:01:26 UTC all %%iowait    0,00
mysecret    3   2015-05-11 10:01:26 UTC all %%steal 0,00
mysecret    3   2015-05-11 10:01:26 UTC all %%idle  93,23

man sar

sar -o datafile interval count

    All data are captured in binary form and saved to a file (datafile).
    The data can then be selectively displayed with the sar command using the -f option. Set the interval and count parameters to select count records at interval  second  intervals.
    If  the  count  parameter is not set, all the records saved in the file will be selected.
    Collection of data in this manner is useful to characterize system usage over a period of time and determine peak usage hours.

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