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45f1e9d953
Add two new, separate charts showing the avg10 and delta total pressure over time for the CPU and IO resources. The height of the avg10 data in each chart represents the percentage of time "some" task was delayed over the specific resource during the last 10 seconds of the build. The height of the delta total data in each chart represents the total time "some" task was delayed since the last sample was collected. If the reduced_proc_pressure data is not present in the buildstats log, then the new charts are not shown at all rather than being present but unpopulated. Note that the delta total graphs may appear "spikey", oscillating from high values to low. This behaviour is fixed in a subsequent commit. (From OE-Core rev: fb9ff46dc3059cb3f4c8df8e4654184c3eab1571) Signed-off-by: Aryaman Gupta <aryaman.gupta@windriver.com> Signed-off-by: Randy MacLeod <randy.macleod@windriver.com> Signed-off-by: Luca Ceresoli <luca.ceresoli@bootlin.com> Signed-off-by: Alexandre Belloni <alexandre.belloni@bootlin.com> Signed-off-by: Richard Purdie <richard.purdie@linuxfoundation.org> |
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| pybootchartgui | ||
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| pybootchartgui.py | ||
| 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/