Manual: perf-data

PERF-DATA(1)					 perf Manual					PERF-DATA(1)

NAME
       perf-data - Data file related processing

SYNOPSIS
       perf data []  []",

DESCRIPTION
       Data file related processing.

COMMANDS
       convert
	   Converts perf data file into another format. It’s possible to set data-convert debug variable to
	   get debug messages from conversion, like: perf --debug data-convert data convert ...

OPTIONS FOR CONVERT
       --to-ctf
	   Triggers the CTF conversion, specify the path of CTF data directory.

       --to-json
	   Triggers JSON conversion. Specify the JSON filename to output.

       --tod
	   Convert time to wall clock time.

       -i
	   Specify input perf data file path.

       -f, --force
	   Don’t complain, do it.

       --time
	   Only convert samples within given time window: ,. Times have the format
	   seconds.nanoseconds. If start is not given (i.e. time string is ,x.y) then analysis starts at the
	   beginning of the file. If stop time is not given (i.e. time string is x.y,) then analysis goes to
	   end of file. Multiple ranges can be separated by spaces, which requires the argument to be quoted
	   e.g. --time "1234.567,1234.789 1235,"

	       Also support time percent with multiple time ranges. Time string is
	       'a%/n,b%/m,...' or 'a%-b%,c%-%d,...'.

	       For example:
	       Select the second 10% time slice:

	       perf data convert --to-json out.json --time 10%/2

	       Select from 0% to 10% time slice:

	       perf data convert --to-json out.json --time 0%-10%

	       Select the first and second 10% time slices:

	       perf data convert --to-json out.json --time 10%/1,10%/2

	       Select from 0% to 10% and 30% to 40% slices:

	       perf data convert --to-json out.json --time 0%-10%,30%-40%

       -v, --verbose
	   Be more verbose (show counter open errors, etc).

       --all
	   Convert all events, including non-sample events (comm, fork, ...), to output. Default is off,
	   only convert samples.

SEE ALSO
       perf(1) [1] Common Trace Format - http://www.efficios.com/ctf

perf						 09/04/2026					PERF-DATA(1)