generic-poky/scripts/pybootchartgui
Patrick Ohly b8a4eb5265 pybootchartgui: support reading reduced /proc logs
Pre-processing /proc data during the build considerably reduces the
amount of data written to disk: 176KB instead of 4.7MB for a 20
minuted build. Parsing also becomes faster.

buildstats.bbclass only writes the reduced logs now, but support for
the full /proc files is kept around as reference.

(From OE-Core rev: b5e47df9af1ebbb477074587fdeae17eb2f55582)

Signed-off-by: Patrick Ohly <patrick.ohly@intel.com>
Signed-off-by: Ross Burton <ross.burton@intel.com>
Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org>
2016-12-07 10:38:00 +00:00
..
pybootchartgui pybootchartgui: support reading reduced /proc logs 2016-12-07 10:38:00 +00:00
AUTHORS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
COPYING pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
MAINTAINERS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
NEWS pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
README.pybootchart pybootchartgui: Import pybootchartgui 0.14.5 2013-11-18 12:44:06 +00:00
pybootchartgui.py scripts: use '/usr/bin/env' in shebangs with python 2014-11-12 15:38:29 +00:00

README.pybootchart

			    PYBOOTCHARTGUI
			   ----------------

pybootchartgui is a tool (now included as part of bootchart2) for
visualization and analysis of the GNU/Linux boot process. It renders
the output of the boot-logger tool bootchart (see
http://www.bootchart.org/) to either the screen or files of various
formats. Bootchart collects information about the processes, their
dependencies, and resource consumption during boot of a GNU/Linux
system. The pybootchartgui tools visualizes the process tree and
overall resource utilization.

pybootchartgui is a port of the visualization part of bootchart from
Java to Python and Cairo.

Adapted from the bootchart-documentation:

  The CPU and disk statistics are used to render stacked area and line
  charts. The process information is used to create a Gantt chart
  showing process dependency, states and CPU usage.

  A typical boot sequence consists of several hundred processes. Since
  it is difficult to visualize such amount of data in a comprehensible
  way, tree pruning is utilized. Idle background processes and
  short-lived processes are removed. Similar processes running in
  parallel are also merged together.

  Finally, the performance and dependency charts are rendered as a
  single image to either the screen or in PNG, PDF or SVG format.


To get help for pybootchartgui, run

$ pybootchartgui --help

This code was originally hosted at:
	http://code.google.com/p/pybootchartgui/