tools/perf/scripts/python/bin/task-analyzer-report

#!/bin/bash
# description: analyze timings of tasks
perf script -s "$PERF_EXEC_PATH"/scripts/python/task-analyzer.py -- "$@"
perf script: Introduce task analyzer python script Introduce a new 'perf script' to analyze task scheduling behavior. During the task analysis, some data is always needed - which goes beyond the simple time of switching on and off a task (process/thread). This concerns for example the runtime of a process or the frequency with which the process was called. This script serves to simplify this recurring analyze process. It immediately provides the user with helpful task characteristic information about the tasks runtimes. Usage: Recorded can be in two ways: $ perf script record tasks-analyzer -- sleep 10 $ perf record -e sched:sched_switch -a -- sleep 10 The script can parse all perf.data files, most important: sched:sched_switch events are mandatory, other events will be ignored. Most simple report use case is to just call the script without arguments: $ perf script report tasks-analyzer Switched-In Switched-Out CPU PID TID Comm Runtime Time Out-In 15576.658891407 15576.659156086 4 2412 2428 gdbus 265 1949 15576.659111320 15576.659455410 0 2412 2412 gnome-shell 344 2267 15576.659491326 15576.659506173 2 74 74 kworker/2:1 15 13145 15576.659506173 15576.659825748 2 2858 2858 gnome-terminal- 320 63263 15576.659871270 15576.659902872 6 20932 20932 kworker/u16:0 32 2314582 15576.659909951 15576.659945501 3 27264 27264 sh 36 -1 15576.659853285 15576.659971052 7 27265 27265 perf 118 5050741 [...] What is not shown here are the ASCII color sequences. For example, if the task consists of only one thread, the TID is grayed out. Runtime is the time the task was running on the CPU, Time Out-In is the time between the process being scheduled out and scheduled back in. So the last time span between two executions. If -1 is printed, then the task simply ran the first time in the measurements - a Out-In delta could not be calculated. In addition to the chronological representation, there is a summary on task level. This output can be additionally switched on via the --summary option and provides information such as max, min & average runtime per process. The maximum runtime is often important for debugging. The call looks like this: $ perf script report tasks-analyzer --summary Summary Task Information Runtime Information PID TID Comm Runs Accumulated Mean Median Min Max Max At 14 14 ksoftirqd/0 13 334 26 15 9 127 15571.621211956 15 15 rcu_preempt 133 1778 13 13 2 33 15572.581176024 16 16 migration/0 3 49 16 13 12 24 15571.608915425 20 20 migration/1 3 34 11 13 8 13 15571.639101555 25 25 migration/2 3 32 11 12 9 12 15575.639239896 [...] Besides these two options, there are a number of other options that change the output and behavior. This can be queried via --help. Options worth mentioning include: - filter-tasks - filter out unneeded tasks, --filter-task 1337,/sbin/init - highlight-tasks - more pleasant focusing, --highlight-tasks 1:red,mutt:yellow - extended-times - show combinations of elapsed times between schedule in/schedule out - summary-extended - summary with additional information, like maximum delta time statistics - rename-comms-by-tids - handy for inexpressive processnames like python, --rename 1337:my-python-app - ms - show timestamps in milliseconds, nanoseconds is also possible (--ns) - time-limit - limit the analyzer to a time range, --time-limit 15576.0:15576.1 Script is tested and prime time ready for python2 & python3: - make PYTHON=python3 prefix=/usr/local install - make PYTHON=python2 prefix=/usr/local install Signed-off-by: Hagen Paul Pfeifer <hagen@jauu.net> Cc: Andi Kleen <ak@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Jiri Olsa <jolsa@kernel.org> Cc: Namhyung Kim <namhyung@kernel.org> Link: https://lore.kernel.org/r/20221206154406.41941-2-petar.gligor@gmail.com Signed-off-by: Petar Gligoric <petar.gligoric@rohde-schwarz.com> Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com> 2022-12-06 10:44:04 -05:00			`#!/bin/bash`
			`# description: analyze timings of tasks`
			`perf script -s "$PERF_EXEC_PATH"/scripts/python/task-analyzer.py -- "$@"`