pcp-collectl is a system-level performance monitoring utility that
records or displays specific operating system data for one or more
sets of subsystems. Any of the subsystems (such as CPU, Disks,
Memory or Sockets) can be included or excluded from data collection.
Data can either be displayed immediately to a terminal, or stored in
files for retrospective analysis.
pcp-collectl is a python(1) script providing much of the
functionality available from the collectl(1) Linux utility (which
happens to be written in perl(1)).
It makes use of the Performance Co-Pilot (PCP) toolkit to simplify
its implementation, as well as provide more of the collectl
functionality on platforms other than Linux.
pcp-collectl has two primary modes of operation:
1. Record Mode (-f or --filename option) which reads data from a live
system and writes output to a file or displays it on a terminal.
2. Playback Mode (-p or -a option) which reads data from one or more
PCP archive files and displays output on a terminal. Note that
these files are not raw collectl format data, rather they are
archives created by the pmlogger(1) utility (possibly indirectly,
through use of the -f option to pcp-collectl).
In this mode data is taken from a live system and either displayed on
the terminal or written to a PCP archive.
Display metrics from host instead of displaying metrics from
the local host.
-c, --count samples
The number of samples to record.
-f, --filename filename
This is the name of a PCP archive to write the output to.
-i, --interval interval
This is the sampling interval in seconds. The default is 1
-R, --runtime duration
Specify the duration of data collection where the duration is
a number followed by one of wdhms, indicating how many weeks,
days, hours, minutes or seconds the collection is to be taken
In this mode, data is read from one or more PCP data files that were
generated with the recording option, or indirectly via the pmlogger
-f, --filename filename
If specified, this is the name of a PCP archive to write the
output to (rather than the terminal).
-p, --playback filename
Read data from the specified PCP archive folio files(s) -
refer to pmafm(1) for archive folio details.
-a, --archive filename
Read data from the specified PCP raw archive files(s). The
argument is a comma-separated list of names, each of which may
be the base name of an archive or the name of a directory
containing one or more archives.
The following options are supported in both record and playback
Display standard help message.
-s, --subsys subsystem
This field controls which subsystem data is to be collected or
played back for. The rules for displaying results vary
depending on the type of data to be displayed. If you write
data for CPUs and DISKs to a raw file and play it back with
-sc, you will only see CPU data. If you play it back with
-scm you will still only see CPU data since memory data was
not collected. To see the current set of default subsystems,
which are a subset of this full list, use -h.
The default is "cdn", which stands for CPU, Disk and Network
c - CPU
d - Disk
f - NFS V3 Data
j - Interrupts
m - Memory
n - Networks
This is the set of detail data from which in most cases the
corresponding summary data is derived. So, if one has 3 disks
and chooses -sd, one will only see a single total taken across
all 3 disks. If one chooses -sD, individual disk totals will
be reported but no totals.
C - CPU
D - Disk
F - NFS Data
J - Interrupts
M - Memory node data, which is also known as NUMA data
N - Networks
Display output in verbose mode. This often displays more data
than in the default mode. When displaying detail data,
verbose mode is forced. Furthermore, if summary data for a
single subsystem is to be displayed in verbose mode, the
headers are only repeated occasionally whereas if multiple
subsystems are involved each needs their own header.
This page is part of the PCP (Performance Co-Pilot) project.
Information about the project can be found at ⟨http://www.pcp.io/⟩.
If you have a bug report for this manual page, send it to
email@example.com. This page was obtained from the project's upstream
Git repository ⟨git://git.pcp.io/pcp⟩ on 2017-03-13. If you discover
any rendering problems in this HTML version of the page, or you
believe there is a better or more up-to-date source for the page, or
you have corrections or improvements to the information in this
COLOPHON (which is not part of the original manual page), send a mail
Performance Co-Pilot PCP PCP-COLLECTL(1)