Collectl：适用于Linux的高级多合一性能监控工具

2024-05-02 17:09:03 121

Linux方法管理员的主要项目是确保系统处于良好状态。Collectl用于收集描述当前过程受欢迎程度的性能信息。与大多数其他监视工具不同，集合不再是有限数量的过程指标中的关注焦点。相反，它可以收集有关许多不同类型的系统资源的信息，例如cpu，磁盘，内存，网络，套接字，tcp，inode，infiniband，lustre，内存，nfs，进程，二次曲面，平板和buddyinfo。本文介绍有关如何安装collectl的信息。

特征

它作为守护程序或两者同时运行。

它以多种格式显示输出。

它具有监视几乎所有子系统的能力。

它扮演着许多其他实用程序的角色，例如ps，top，iotop，vmstat。

它具有记录和回放捕获的数据的能力。

以各种文件格式导出数据。（这在您要使用外部工具分析数据时非常有用）。

它可以作为服务运行以监视远程计算机或整个服务器群集。

在终端中显示数据，写入文件或套接字。

在Linux中安装Collectl

要在Linux上安装collectl，它需要perl。使用以下命令安装perl–

$ sudo apt-get install perl

要安装collectl，请使用以下命令–

$ sudo apt-get install collectl

样本输出应如下所示–

Building dependency tree
Reading state information... Done
The following additional packages will be installed:
   aglfn apache2 apache2-bin apache2-data apache2-utils colplot gnuplot
   gnuplot-tex gnuplot5-data gnuplot5-qt libapr1 libaprutil1
   libaprutil1-dbd-sqlite3 libaprutil1-ldap libgetopt-simple-perl liblua5.1-0
   libwxbase3.0-0v5 libwxgtk3.0-0v5 perl-tk
Suggested packages:
   apache2-doc apache2-suexec-pristine | apache2-suexec-custom feedgnuplot
   gnuplot-doc libgnuplot-iostream-dev python-gnuplot gnuplot5-doc
The following NEW packages will be installed:
   aglfn apache2 apache2-bin apache2-data apache2-utils collectl colplot
   gnuplot gnuplot-tex gnuplot5-data gnuplot5-qt libapr1 libaprutil1
   libaprutil1-dbd-sqlite3 libaprutil1-ldap libgetopt-simple-perl liblua5.1-0
   libwxbase3.0-0v5 libwxgtk3.0-0v5 perl-tk
0 upgraded, 20 newly installed, 0 to remove and 20 not upgraded.
Need to get 10.5 MB of archives.
After this operation, 41.4 MB of additional disk space will be used.
Do you want to continue? [Y/n] y
Get:1 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 libapr1 amd64 1.5.2-3 [86.0 kB]
Get:2 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 libaprutil1 amd64 1.5.4-1build1 [77.1 kB]
Get:3 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 libaprutil1-dbd-sqlite3 amd64 1.5.4-1build1 [10.6 kB]
Get:4 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 libaprutil1-ldap amd64 1.5.4-1build1 [8,720 B]
Get:5 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 liblua5.1-0 amd64 5.1.5-8ubuntu1 [102 kB]
Get:6 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 apache2-bin amd64 2.4.18-2ubuntu3 [918 kB]
Get:7 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 apache2-utils amd64 2.4.18-2ubuntu3 [81.1 kB]
Get:8 http://in.archive.ubuntu.com/ubuntu xenial/main amd64 apache2-data all 2.4.18-2ubuntu3 [162 kB]
................................................................................................

要运行Collectl，请使用以下命令–

$ collectl

样本输出应如下所示–

waiting for 1 second sample...
#
#cpu    sys    inter    ctxsw    KBRead    Reads    KBWrit    Writes    KBIn    PktIn    KBOut    PktOut
  3       1    576       952       0       0         1428       175       0       0       0          0
  1       1    372       998       0       0          0          0        0       2       0          0
  2       1    477       896       0       0          0          0        0       1       0          0
  2       1    437       1103      0       0          0          0        0       0       0          0
  1       1    426       1045      0       0         160        14        0       4       0          0      
  2       1    392       962       0       0          0          0        0       6       0          0
  2       1    358       920       0       0          0          0        0       2       0          0
  2       1    421       1067      0       0          0          0       0       4        0          3
  2       1    413       892       0       0          0          0       0       0        0          0
  2       1    511       1771       0      0          0          0       0       0        0          0
  6       2    759       3749       0       0         52         4       0       0        0          0
  5       1    621       3251       0       0          0          0      0       0        0          0
  6       2    771       4380       0       0          0          0      0       0        0          0
  12      4    1080       8043       0      0          0          0       0      0        0          0
  15      4    1215       8517       0      0          176       14       0      5        2          6  
  5       1    545       2512       0       0         212         20       1     1        0          1
  5       1    502       2433       0       0          0          0       1      10       0          0
  2       1    389       1173       0       0          0          0       0       4       0          0
  20      3    1024       6732      0       0          0          0       0       1       0          0
  27      5    1301       8061      0       0          0          0       0       0       0          0
  2       1    749       3351       0       0        33932       53       0       2       0          1
  8       2    791       4740       0       0          7788       31      0       0       0          0
#
#cpu sys inter ctxsw KBRead Reads KBWrit Writes KBIn PktIn KBOut PktOut
10 3 856 5916 0 0 0 0 0 2 0 1
26 4 1176 6580 0 0 0 0 0 0 0 0
4 1 654 2984 0 0 0 0 0 0 0 0
3 1 451 1714 0 0 136 14 0 0 0 0
7 3 569 3232 0 0 0 0 0 0 0 0
4 2 726 1872 0 0 64 3 0 1 0 1
8 2 674 2750 0 0 0 0 0 6 0 0
7 2 610 3043 0 0 0 0 1 8 7 8
13 2 704 4142 0 0 0 0 2 6 0 3
10 2 831 3708 0 0 0 0 4 17 5 20
8 1 671 4091 0 0 0 0 0 4 0 0
5 1 614 3133 0 0 76 2 0 1 0 0
8 1 588 3025 0 0 0 0 0 1 0 0
8 1 676 3929 0 0 172 35 0 0 0 0
6 2 613 3100 0 0 48 2 0 1 0 0
3 1 757 3726 0 0 248 33 0 1 0 0
8 2 768 4200 0 0 156 3 0 0 0 0
2 1 449 1765 0 0 0 0 1 3 0 0
2 1 590 2032 0 0 0 0 0 0 0 0
2 1 583 1872 0 0 0 0 0 0 0 0
2 0 505 1445 0 0 0 0 2 9 0 0
3 1 609 2071 0 0 68 2 0 2 0 0
#
#cpu sys inter ctxsw KBRead Reads KBWrit Writes KBIn PktIn KBOut PktOut
4 1 659 2958 0 0 0 0 1 7 2 4
2 1 618 2653 0 0 32 5 1 3 0 1
10 2 815 3966 0 0 0 0 1 6 0 0
4 1 480 1817 0 0 0 0 0 6 0 1
6 1 552 2502 0 0 264 5 1 8 0 0
6 2 612 3497 0 0 0 0 2 12 0 0
6 1 543 2670 0 0 0 0 1 2 0 0
5 1 519 2311 0 0 0 0 0 1 0 0
6 2 515 2463 0 0 0 0 1 7 0 0
7 2 616 3141 0 0 216 23 1 11 0 0
7 1 630 3578 0 0 0 0 1 15 0 0
8 2 641 3617 0 0 4 1 1 9 0 0
6 1 539 2369 0 0 0 0 1 8 0 0
9 1 680 3740 0 0 124 13 0 4 0 0
9 1 655 3997 0 0 0 0 1 7 0 0
4 1 595 1856 0 0 0 0 2 17 2 4
10 3 886 6428 0 0 20 5 0 4 0 0
10 2 1006 5959 0 0 0 0 0 6 0 0
3 2 746 1798 0 0 0 0 2 25 0 2
2 1 676 2194 0 0 32 2 1 7 0 0
4 1 713 2295 0 0 0 0 0 1 0 0
3 1 778 2313 0 0 4 1 0 3 0 0
#
#cpu sys inter ctxsw KBRead Reads KBWrit Writes KBIn PktIn KBOut PktOut
2 1 523 1520 0 0 0 0 0 3 0 0
3 2 747 2625 0 0 0 0 0 5 0 0
3 1 688 2005 0 0 36 2 0 0 0 0
2 1 590 1180 0 0 168 21 0 1 0 0
1 1 464 1043 0 0 156 27 0 0 0 0
3 1 486 1202 0 0 188 3 0 0 0 0
3 1 674 2351 0 0 0 0 1 10 0 1
5 2 964 3355 0 0 0 0 1 6 0 0
.....................................................................................

从上面的输出中可以看到，使用命令输出中存在的系统指标值非常容易，因为它显示在一行上。您还可以通过将命令与以下内容结合使用，以显示除平板以外的所有子系统的统计信息

例如，按照以下命令显示所有选项–

$ sudo collectl --all

样本输出应如下所示–

waiting for 1 second sample...
#
#cpu sys inter ctxsw Cpu0 Cpu1 Free Buff Cach Inac Slab Map Fragments KBRead Reads KBWrit Writes KBIn PktIn KBOut PktOut IP Tcp Udp Icmp Tcp Udp Raw Frag Handle Inodes Reads Writes Meta Comm
16 3 817 1542 430 390 1G 175M 1G 683M 193M 1G nsslkjjebbk 0 0 24 3 1 1 0 1 0 0 0 0 623 0 0 0 8160 240829 0 0 0 0
11 1 745 1324 316 426 1G 175M 1G 683M 193M 1G nsslkjjebbk 0 0 0 0 0 3 0 2 0 0 0 0 622 0 0 0 8160 240828 0 0 0 0
15 2 793 1683 371 424 1G 175M 1G 683M 193M 1G ssslkjjebbk 0 0 0 0 1 1 0 1 0 0 0 0 622 0 0 0 8160 240829 0 0 0 0
16 2 872 1875 427 446 1G 175M 1G 683M 193M 1G ssslkjjebbk 0 0 24 3 1 1 0 1 0 0 0 0 622 0 0 0 8160 240828 0 0 0 0
24 2 842 1383 473 368 1G 175M 1G 683M 193M 1G ssslkjjebbk 0 0 168 6 1 1 0 1 0 0 0 0 622 0 0 0 8160 240828 0 0 0 0
27 3 844 1099 478 365 1G 175M 1G 683M 193M 1G nsslkjjebbk 0 0 0 0 1 6 1 9 0 0 0 0 622 0 0 0 8160 240828 0 0 0 0
26 5 823 1238 396 428 1G 175M 1G 683M 193M 1G ssslkjjebbk 0 0 0 0 2 11 3 9 0 0 0 0 622 0 0 0 8160 240828 0 0 0 0
15 1 753 1276 361 391 1G 175M 1G 683M 193M 1G ssslkjjebbk 0 0 40 3 1 2 0 3 0 0 0 0 623 0 0 0 8160 240829 0 0 0 0

如果要收集有关内存的数据，请使用以下命令-

$ sudo collectl -sm

样本输出应如下所示–

waiting for 1 second sample...
#
#Free Buff Cach Inac    Slab    Map
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M     3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
   1G 174M 2G    825M    170M    3G
...................................

要获取有关tcp的数据，请使用以下命令-

$ sudo collectl -st

样本输出应如下所示–

#
# IP Tcp Udp Icmp
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
   0  0    0    0
............................

使collectl成为顶级实用程序非常容易，只需在终端中运行以下命令，

$ sudo collectl --top

样本输出应如下所示–

# TOP PROCESSES sorted by time (counters are /sec) 11:42:40
# PID User PR PPID THRD S VSZ RSS CP SysT UsrT Pct AccuTime RKB WKB MajF MinF Command
# TOP PROCESSES sorted by time (counters are /sec) 11:42:44 9 24:47.28 0 0 0 37 compiz
# TOP PROCESSES sorted by time (counters are /sec) 11:43:10Pct AccuTime RKB WKB MajF MinF Commandn/perl
# TOP PROCESSES sorted by time (counters are /sec) 11:43:11Pct AccuTime RKB WKB MajF MinF Commandogle/chrome/chrome
# PID User PR PPID THRD S VSZ RSS CP SysT UsrT Pct AccuTime RKB WKB MajF MinF Commandn/perl
30526 root 20 30525 0 R 74M 27M 1 0.01 0.08 9 00:03.41 0 0 0 0 /usr/bin/perl
13185 netdata 39 21351 0 S 20M 4M 0 0.01 0.03 4 02:56.04 0 8 0 3982 /bin/bash
871 root 20 787 1 S 369M 52M 0 0.01 0.01 2 26:54.20 0 0 0 2 /usr/lib/xorg/Xorg
1438 linux 20 1230 7 S 1G 225M 1 0.00 0.01 1 24:47.99 0 0 0 0 compiz
13055 netdata 39 21351 0 S 16M 3M 3 0.00 0.01 1 01:18.21 0 0 0 0 /usr/libexec/netdata/plugins.d/apps.plugin
17289 linux 20 1823 9 S 977M 236M 2 0.00 0.01 1 01:10.33 0 0 0 2 /opt/google/chrome/chrome
21577 netdata 39 21351 0 S 19M 3M 2 0.01 0.00 1 00:01.54 0 0 0 142 /bin/bash
29665 root 20 2 0 S 0 0 2 0.01 0.00 1 00:00.08 0 0 0 0 kworker/2:1
1 root 20 0 0 S 181M 5M 2 0.00 0.00 0 00:02.43 0 0 0 0 /sbin/init
2 root 20 0 0 S 0 0 0 0.00 0.00 0 00:00.04 0 0 0 0 kthreadd
3 root 20 2 0 S 0 0 0 0.00 0.00 0 00:05.39 0 0 0 0 ksoftirqd/0
5 root 0 2 0 S 0 0 0 0.00 0.00 0 00:00.00 0 0 0 0 kworker/0:0H
7 root 20 2 0 S 0 0 0 0.00 0.00 0 01:11.84 0 0 0 0 rcu_sched
8 root 20 2 0 S 0 0 0 0.00 0.00 0 00:00.00 0 0 0 0 rcu_bh
9 root RT 2 0 S 0 0 0 0.00 0.00 0 00:01.40 0 0 0 0 migration/0
10 root RT 2 0 S 0 0 0 0.00 0.00 0 00:00.18 0 0 0 0 watchdog/0
11 root RT 2 0 S 0 0 1 0.00 0.00 0 00:00.15 0 0 0 0 watchdog/1
12 root RT 2 0 S 0 0 1 0.00 0.00 0 00:01.59 0 0 0 0 migration/1
13 root 20 2 0 S 0 0 1 0.00 0.00 0 00:01.57 0 0 0 0 ksoftirqd/1
15 root 0 2 0 S 0 0 1 0.00 0.00 0 00:00.00 0 0 0 0 kworker/1:0H
16 root RT 2 0 S 0 0 2 0.00 0.00 0 00:00.15 0 0 0 0 watchdog/2
17 root RT 2 0 S 0 0 2 0.00 0.00 0 00:02.60 0 0 0 0 migration/2

要将collectl实用程序用作ps工具，请在终端中运行以下命令-

$ sudo collectl -c1 -sZ -i:1

样本输出应如下所示–

waiting for 1 second sample...

### RECORD 1 >>> linux <<< (1461824164.001) (Thu Apr 28 11:46:04 2016) ###

# PROCESS SUMMARY (counters are /sec)
# PID    User    PR PPID THRD S VSZ RSS CP SysT UsrT Pct AccuTime RKB WKB MajF MinF Command
   1    root    20    0    0  S 181M 5M 0  0.00 0.00 0 00:02.43    0    0    0    0 /sbin/init
   2    root    20    0    0  S    0 0  3  0.00 0.00 0 00:00.04    0    0    0    0 kthreadd
   3    root    20    2    0  S    0 0  0  0.00 0.00 0 00:05.40    0    0    0    0 ksoftirqd/0
   5    root    0     2    0  S    0 0  0  0.00 0.00 0 00:00.00    0    0    0    0 kworker/0:0H
   7    root    20    2    0  S    0 0  0  0.00 0.00 0 01:12.13    0    0    0    0 rcu_sched
   8    root    20    2    0  S    0 0  0  0.00 0.00 0 00:00.00    0    0    0    0 rcu_bh
   9    root    RT    2    0  S    0 0  0  0.00 0.00 0 00:01.41    0    0    0    0 migration/0
   10   root    RT    2    0  S    0 0  0  0.00 0.00 0 00:00.18    0    0    0    0 watchdog/0
   11   root    RT    2    0  S    0 0  1  0.00 0.00 0 00:00.15    0    0    0    0 watchdog/1
   12   root    RT    2    0  S    0 0  1  0.00 0.00 0 00:01.60    0    0    0    0 migration/1
   13   root    20    2    0  S    0 0  1  0.00 0.00 0 00:01.57    0    0    0    0 ksoftirqd/1
   15   root    0     2    0  S    0 0  1  0.00 0.00 0 00:00.00    0    0    0     0 kworker/1:0H
   16   root    RT    2    0  S    0 0  2  0.00 0.00 0 00:00.15    0    0    0    0 watchdog/2
   17   root    RT    2    0  S    0 0  2 0.00 0.00 0 00:02.61    0    0    0     0 migration/2
   18   root    20    2    0  S    0 0  2 0.00 0.00 0 00:01.38    0    0    0     0 ksoftirqd/2
   20   root    0     2    0  S    0 0  2 0.00 0.00 0 00:00.00    0    0    0      0 kworker/2:0H
   21   root    RT    2    0  S    0 0  3 0.00 0.00 0 00:00.14    0    0    0    0 watchdog/3
   22   root    RT    2    0  S    0 0  3 0.00 0.00 0 00:02.30    0    0    0    0 migration/3
   23   root    20    2    0  S    0 0  3 0.00 0.00 0 00:01.08    0    0    0    0 ksoftirqd/3
   25   root    0     2    0  S    0 0  3 0.00 0.00 0 00:00.00    0    0    0    0 kworker/3:0H
   26   root    20    2    0  S    0 0  0 0.00 0.00 0 00:00.00    0    0    0    0 kdevtmpfs
   27   root    0     2    0  S    0 0  2 0.00 0.00 0 00:00.00    0    0    0    0 netns
   28   root    0     2    0  S    0 0  2 0.00 0.00 0 00:00.00    0    0    0    0 perf
   29   root    20    2    0  S    0 0  0 0.00 0.00 0 00:00.03    0    0    0    0 khungtaskd
............................................................................................

要获取有关Collectl的更多信息，请使用以下命令–

$ man collectl

恭喜你！现在，您知道“如何在Linux上安装Collectl和用法”。在下一篇Linux文章中，我们将学习有关这些命令类型的更多信息。继续阅读！

Collectl：适用于Linux的高级多合一性能监控工具

特征

在Linux中安装Collectl

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