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Message-Id: <1445784728-21732-1-git-send-email-jolsa@kernel.org>
Date:	Sun, 25 Oct 2015 15:51:16 +0100
From:	Jiri Olsa <jolsa@...nel.org>
To:	Arnaldo Carvalho de Melo <acme@...nel.org>
Cc:	Andi Kleen <andi@...stfloor.org>,
	Ulrich Drepper <drepper@...il.com>,
	Will Deacon <will.deacon@....com>,
	Stephane Eranian <eranian@...gle.com>,
	Don Zickus <dzickus@...hat.com>,
	lkml <linux-kernel@...r.kernel.org>,
	David Ahern <dsahern@...il.com>,
	Ingo Molnar <mingo@...nel.org>,
	Namhyung Kim <namhyung@...nel.org>,
	Peter Zijlstra <a.p.zijlstra@...llo.nl>,
	"Liang, Kan" <kan.liang@...el.com>
Subject: [PATCHv5 00/52] perf stat: Add scripting support

hi,
sending another version of stat scripting.

v5 changes:
  - several patches from v4 already taken
  - using u16 for cpu number in cpu_map_event
  - renamed PERF_RECORD_HEADER_ATTR_UPDATE to PERF_RECORD_EVENT_UPDATE
  - moved low hanging fuits patches to the start of the patchset
  - patchset tested by Kan Liang, thanks!

v4 changes:
  - added attr update event for event's cpumask
  - forbig aggregation on task workloads
  - some minor reorders and changelog fixes

v3 changes:
  - added attr update event to handle unit,scale,name for event
    it fixed the uncore_imc_1/cas_count_read/ record/report
  - perf report -D now displays stat related events
  - some minor and changelog fixes

v2 changes:
  - rebased to latest Arnaldo's perf/core
  - patches 1 to 11 already merged in
  - added --per-core/--per-socket/-A options for perf stat report
    command to allow custom aggregation in stat report, please
    check new examples below
  - couple changelogs changes

The initial attempt defined its own formula lang and allowed
triggering user's script on the end of the stat command:
  http://marc.info/?l=linux-kernel&m=136742146322273&w=2

This patchset abandons the idea of new formula language
and rather adds support to:
  - store stat data into perf.data file
  - add python support to process stat events

Basically it allows to store stat data into perf.data and
post process it with python scripts in a similar way we
do for sampling data.

The stat data are stored in new stat, stat-round, stat-config user events.
  stat        - stored for each read syscall of the counter
  stat round  - stored for each interval or end of the command invocation
  stat config - stores all the config information needed to process data
                so report tool could restore the same output as record

The python script can now define 'stat__<eventname>_<modifier>' functions
to get stat events data and 'stat__interval' to get stat-round data.

See CPI script example in scripts/python/stat-cpi.py.

Also available in:
  git://git.kernel.org/pub/scm/linux/kernel/git/jolsa/perf.git
  perf/stat_script

thanks,
jirka

Examples:

- To record data for command stat workload:

  $ perf stat record kill
  ...

   Performance counter stats for 'kill':

            0.372007      task-clock (msec)         #    0.613 CPUs utilized          
                   3      context-switches          #    0.008 M/sec                  
                   0      cpu-migrations            #    0.000 K/sec                  
                  62      page-faults               #    0.167 M/sec                  
           1,129,973      cycles                    #    3.038 GHz                    
     <not supported>      stalled-cycles-frontend  
     <not supported>      stalled-cycles-backend   
             813,313      instructions              #    0.72  insns per cycle        
             166,161      branches                  #  446.661 M/sec                  
               8,747      branch-misses             #    5.26% of all branches        

         0.000607287 seconds time elapsed

- To report perf stat data:

  $ perf stat report

   Performance counter stats for '/home/jolsa/bin/perf stat record kill':

            0.372007      task-clock (msec)         #      inf CPUs utilized          
                   3      context-switches          #    0.008 M/sec                  
                   0      cpu-migrations            #    0.000 K/sec                  
                  62      page-faults               #    0.167 M/sec                  
           1,129,973      cycles                    #    3.038 GHz                    
     <not supported>      stalled-cycles-frontend  
     <not supported>      stalled-cycles-backend   
             813,313      instructions              #    0.72  insns per cycle        
             166,161      branches                  #  446.661 M/sec                  
               8,747      branch-misses             #    5.26% of all branches        

         0.000000000 seconds time elapsed

- To store system-wide period stat data:

  $ perf stat -e cycles:u,instructions:u -a -I 1000 record
  #           time             counts unit events
       1.000265471        462,311,482      cycles:u                   (100.00%)
       1.000265471        590,037,440      instructions:u           
       2.000483453        722,532,336      cycles:u                   (100.00%)
       2.000483453        848,678,197      instructions:u           
       3.000759876         75,990,880      cycles:u                   (100.00%)
       3.000759876         86,187,813      instructions:u           
  ^C     3.213960893         85,329,533      cycles:u                   (100.00%)
       3.213960893        135,954,296      instructions:u           

- To report perf stat data:

  $ perf stat report
  #           time             counts unit events
       1.000265471        462,311,482      cycles:u                   (100.00%)
       1.000265471        590,037,440      instructions:u           
       2.000483453        722,532,336      cycles:u                   (100.00%)
       2.000483453        848,678,197      instructions:u           
       3.000759876         75,990,880      cycles:u                   (100.00%)
       3.000759876         86,187,813      instructions:u           
       3.213960893         85,329,533      cycles:u                   (100.00%)
       3.213960893        135,954,296      instructions:u           

- To run stat-cpi.py script over perf.data:

  $ perf script -s scripts/python/stat-cpi.py 
         1.000265: cpu -1, thread -1 -> cpi 0.783529 (462311482/590037440)
         2.000483: cpu -1, thread -1 -> cpi 0.851362 (722532336/848678197)
         3.000760: cpu -1, thread -1 -> cpi 0.881689 (75990880/86187813)
         3.213961: cpu -1, thread -1 -> cpi 0.627634 (85329533/135954296)

- To pipe data from stat to stat-cpi script:

  $ perf stat -e cycles:u,instructions:u -A -C 0 -I 1000 record | perf script -s scripts/python/stat-cpi.py 
         1.000192: cpu 0, thread -1 -> cpi 0.739535 (23921908/32347236)
         2.000376: cpu 0, thread -1 -> cpi 1.663482 (2519340/1514498)
         3.000621: cpu 0, thread -1 -> cpi 1.396308 (16162767/11575362)
         4.000700: cpu 0, thread -1 -> cpi 1.092246 (20077258/18381624)
         5.000867: cpu 0, thread -1 -> cpi 0.473816 (45157586/95306156)
         6.001034: cpu 0, thread -1 -> cpi 0.532792 (43701668/82023818)
         7.001195: cpu 0, thread -1 -> cpi 1.122059 (29890042/26638561)

- Raw script stat data output:

  $ perf stat -e cycles:u,instructions:u -A -C 0 -I 1000 record | perf --no-pager script
  CPU   THREAD             VAL             ENA             RUN            TIME EVENT
    0       -1        12302059      1000811347      1000810712      1000198821 cycles:u
    0       -1         2565362      1000823218      1000823218      1000198821 instructions:u
    0       -1        14453353      1000812704      1000812704      2000382283 cycles:u
    0       -1         4600932      1000799342      1000799342      2000382283 instructions:u
    0       -1        15245106      1000774425      1000774425      3000538255 cycles:u
    0       -1         2624324      1000769310      1000769310      3000538255 instructions:u

- To display different aggregation in report:

  $ perf stat -e cycles -a -I 1000 record sleep 3 
  #           time             counts unit events
       1.000223609        703,427,617      cycles                   
       2.000443651        609,975,307      cycles                   
       3.000569616        668,479,597      cycles                   
       3.000735323          1,155,816      cycles                 

  $ perf stat report
  #           time             counts unit events
       1.000223609        703,427,617      cycles                   
       2.000443651        609,975,307      cycles                   
       3.000569616        668,479,597      cycles                   
       3.000735323          1,155,816      cycles                   

  $ perf stat report --per-core
  #           time core         cpus             counts unit events
       1.000223609 S0-C0           2        327,612,412      cycles                   
       1.000223609 S0-C1           2        375,815,205      cycles                   
       2.000443651 S0-C0           2        287,462,177      cycles                   
       2.000443651 S0-C1           2        322,513,130      cycles                   
       3.000569616 S0-C0           2        271,571,908      cycles                   
       3.000569616 S0-C1           2        396,907,689      cycles                   
       3.000735323 S0-C0           2            694,977      cycles                   
       3.000735323 S0-C1           2            460,839      cycles                   

  $ perf stat report --per-socket
  #           time socket cpus             counts unit events
       1.000223609 S0        4        703,427,617      cycles                   
       2.000443651 S0        4        609,975,307      cycles                   
       3.000569616 S0        4        668,479,597      cycles                   
       3.000735323 S0        4          1,155,816      cycles                   

  $ perf stat report -A
  #           time CPU                counts unit events
       1.000223609 CPU0           205,431,505      cycles                   
       1.000223609 CPU1           122,180,907      cycles                   
       1.000223609 CPU2           176,649,682      cycles                   
       1.000223609 CPU3           199,165,523      cycles                   
       2.000443651 CPU0           148,447,922      cycles                   
       2.000443651 CPU1           139,014,255      cycles                   
       2.000443651 CPU2           204,436,559      cycles                   
       2.000443651 CPU3           118,076,571      cycles                   
       3.000569616 CPU0           149,788,954      cycles                   
       3.000569616 CPU1           121,782,954      cycles                   
       3.000569616 CPU2           247,277,700      cycles                   
       3.000569616 CPU3           149,629,989      cycles                   
       3.000735323 CPU0               269,675      cycles                   
       3.000735323 CPU1               425,302      cycles                   
       3.000735323 CPU2               364,169      cycles                   
       3.000735323 CPU3                96,670      cycles                   


Cc: Andi Kleen <andi@...stfloor.org>
Cc: Ulrich Drepper <drepper@...il.com>
Cc: Will Deacon <will.deacon@....com>
Cc: Stephane Eranian <eranian@...gle.com>
Cc: Don Zickus <dzickus@...hat.com>
Tested-by: Kan Liang <kan.liang@...el.com>
---
Jiri Olsa (52):
      perf cpu_map: Add cpu_map__empty_new function
      perf stat: Cache aggregated map entries in extra cpumap
      perf tools: Add thread_map event
      perf tools: Add thread_map event sythesize function
      perf tools: Add thread_map__new_event function
      perf tools: Add perf_event__fprintf_thread_map function
      perf tools: Add cpu_map event
      perf tools: Add cpu_map event synthesize function
      perf tools: Add cpu_map__new_event function
      perf tools: Add perf_event__fprintf_cpu_map function
      perf tools: Add stat config event
      perf tools: Add stat config event synthesize function
      perf tools: Add stat config event read function
      perf tools: Add stat event
      perf tools: Add stat event synthesize function
      perf tools: Add stat event read function
      perf tools: Add stat round event
      perf tools: Add stat round event synthesize function
      perf tools: Add stat events fprintf functions
      perf tools: Add event_update event
      perf tools: Add event_update event unit type
      perf tools: Add event_update event scale type
      perf tools: Add event_update event name type
      perf tools: Add event_update event cpus type
      perf tools: Add perf_event__fprintf_event_update function
      perf report: Display newly added events in raw dump
      perf tools: Introduce stat feature
      perf tools: Move id_offset out of struct perf_evsel union
      perf stat record: Add record command
      perf stat record: Initialize record features
      perf stat record: Synthesize stat record data
      perf stat record: Store events IDs in perf data file
      perf stat record: Add pipe support for record command
      perf stat record: Write stat events on record
      perf stat record: Write stat round events on record
      perf stat record: Do not allow record with multiple runs mode
      perf stat record: Synthesize event update events
      perf stat report: Add report command
      perf stat report: Process cpu/threads maps
      perf stat report: Process stat config event
      perf stat report: Add support to initialize aggr_map from file
      perf stat report: Process stat and stat round events
      perf stat report: Process event update events
      perf stat report: Move csv_sep initialization before report command
      perf stat report: Allow to override aggr_mode
      perf script: Process cpu/threads maps
      perf script: Process stat config event
      perf script: Add process_stat/process_stat_interval scripting interface
      perf script: Add stat default handlers
      perf script: Display stat events by default
      perf script: Add python support for stat events
      perf script: Add stat-cpi.py script

 tools/perf/Documentation/perf-stat.txt             |  34 ++
 tools/perf/builtin-record.c                        |   2 +
 tools/perf/builtin-script.c                        | 139 +++++
 tools/perf/builtin-stat.c                          | 643 ++++++++++++++++++++-
 tools/perf/scripts/python/stat-cpi.py              |  74 +++
 tools/perf/tests/Build                             |   3 +
 tools/perf/tests/builtin-test.c                    |  24 +
 tools/perf/tests/cpumap.c                          |  88 +++
 tools/perf/tests/event_update.c                    | 117 ++++
 tools/perf/tests/stat.c                            | 111 ++++
 tools/perf/tests/tests.h                           |   7 +
 tools/perf/tests/thread-map.c                      |  43 ++
 tools/perf/util/cpumap.c                           |  59 ++
 tools/perf/util/cpumap.h                           |   2 +
 tools/perf/util/event.c                            | 308 ++++++++++
 tools/perf/util/event.h                            | 150 ++++-
 tools/perf/util/evlist.c                           |   6 +-
 tools/perf/util/evlist.h                           |   3 +
 tools/perf/util/evsel.h                            |   2 +-
 tools/perf/util/header.c                           | 205 +++++++
 tools/perf/util/header.h                           |  17 +
 .../util/scripting-engines/trace-event-python.c    | 114 +++-
 tools/perf/util/session.c                          | 189 ++++++
 tools/perf/util/stat.c                             |  62 ++
 tools/perf/util/stat.h                             |  10 +
 tools/perf/util/thread_map.c                       |  27 +
 tools/perf/util/thread_map.h                       |   3 +
 tools/perf/util/tool.h                             |   8 +-
 tools/perf/util/trace-event.h                      |   4 +
 29 files changed, 2427 insertions(+), 27 deletions(-)
 create mode 100644 tools/perf/scripts/python/stat-cpi.py
 create mode 100644 tools/perf/tests/cpumap.c
 create mode 100644 tools/perf/tests/event_update.c
 create mode 100644 tools/perf/tests/stat.c
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