linux/tools/perf/util/data.h

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License cleanup: add SPDX GPL-2.0 license identifier to files with no license Many source files in the tree are missing licensing information, which makes it harder for compliance tools to determine the correct license. By default all files without license information are under the default license of the kernel, which is GPL version 2. Update the files which contain no license information with the 'GPL-2.0' SPDX license identifier. The SPDX identifier is a legally binding shorthand, which can be used instead of the full boiler plate text. This patch is based on work done by Thomas Gleixner and Kate Stewart and Philippe Ombredanne. How this work was done: Patches were generated and checked against linux-4.14-rc6 for a subset of the use cases: - file had no licensing information it it. - file was a */uapi/* one with no licensing information in it, - file was a */uapi/* one with existing licensing information, Further patches will be generated in subsequent months to fix up cases where non-standard license headers were used, and references to license had to be inferred by heuristics based on keywords. The analysis to determine which SPDX License Identifier to be applied to a file was done in a spreadsheet of side by side results from of the output of two independent scanners (ScanCode & Windriver) producing SPDX tag:value files created by Philippe Ombredanne. Philippe prepared the base worksheet, and did an initial spot review of a few 1000 files. The 4.13 kernel was the starting point of the analysis with 60,537 files assessed. Kate Stewart did a file by file comparison of the scanner results in the spreadsheet to determine which SPDX license identifier(s) to be applied to the file. She confirmed any determination that was not immediately clear with lawyers working with the Linux Foundation. Criteria used to select files for SPDX license identifier tagging was: - Files considered eligible had to be source code files. - Make and config files were included as candidates if they contained >5 lines of source - File already had some variant of a license header in it (even if <5 lines). All documentation files were explicitly excluded. The following heuristics were used to determine which SPDX license identifiers to apply. - when both scanners couldn't find any license traces, file was considered to have no license information in it, and the top level COPYING file license applied. For non */uapi/* files that summary was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 11139 and resulted in the first patch in this series. If that file was a */uapi/* path one, it was "GPL-2.0 WITH Linux-syscall-note" otherwise it was "GPL-2.0". Results of that was: SPDX license identifier # files ---------------------------------------------------|------- GPL-2.0 WITH Linux-syscall-note 930 and resulted in the second patch in this series. - if a file had some form of licensing information in it, and was one of the */uapi/* ones, it was denoted with the Linux-syscall-note if any GPL family license was found in the file or had no licensing in it (per prior point). Results summary: SPDX license identifier # files ---------------------------------------------------|------ GPL-2.0 WITH Linux-syscall-note 270 GPL-2.0+ WITH Linux-syscall-note 169 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-2-Clause) 21 ((GPL-2.0 WITH Linux-syscall-note) OR BSD-3-Clause) 17 LGPL-2.1+ WITH Linux-syscall-note 15 GPL-1.0+ WITH Linux-syscall-note 14 ((GPL-2.0+ WITH Linux-syscall-note) OR BSD-3-Clause) 5 LGPL-2.0+ WITH Linux-syscall-note 4 LGPL-2.1 WITH Linux-syscall-note 3 ((GPL-2.0 WITH Linux-syscall-note) OR MIT) 3 ((GPL-2.0 WITH Linux-syscall-note) AND MIT) 1 and that resulted in the third patch in this series. - when the two scanners agreed on the detected license(s), that became the concluded license(s). - when there was disagreement between the two scanners (one detected a license but the other didn't, or they both detected different licenses) a manual inspection of the file occurred. - In most cases a manual inspection of the information in the file resulted in a clear resolution of the license that should apply (and which scanner probably needed to revisit its heuristics). - When it was not immediately clear, the license identifier was confirmed with lawyers working with the Linux Foundation. - If there was any question as to the appropriate license identifier, the file was flagged for further research and to be revisited later in time. In total, over 70 hours of logged manual review was done on the spreadsheet to determine the SPDX license identifiers to apply to the source files by Kate, Philippe, Thomas and, in some cases, confirmation by lawyers working with the Linux Foundation. Kate also obtained a third independent scan of the 4.13 code base from FOSSology, and compared selected files where the other two scanners disagreed against that SPDX file, to see if there was new insights. The Windriver scanner is based on an older version of FOSSology in part, so they are related. Thomas did random spot checks in about 500 files from the spreadsheets for the uapi headers and agreed with SPDX license identifier in the files he inspected. For the non-uapi files Thomas did random spot checks in about 15000 files. In initial set of patches against 4.14-rc6, 3 files were found to have copy/paste license identifier errors, and have been fixed to reflect the correct identifier. Additionally Philippe spent 10 hours this week doing a detailed manual inspection and review of the 12,461 patched files from the initial patch version early this week with: - a full scancode scan run, collecting the matched texts, detected license ids and scores - reviewing anything where there was a license detected (about 500+ files) to ensure that the applied SPDX license was correct - reviewing anything where there was no detection but the patch license was not GPL-2.0 WITH Linux-syscall-note to ensure that the applied SPDX license was correct This produced a worksheet with 20 files needing minor correction. This worksheet was then exported into 3 different .csv files for the different types of files to be modified. These .csv files were then reviewed by Greg. Thomas wrote a script to parse the csv files and add the proper SPDX tag to the file, in the format that the file expected. This script was further refined by Greg based on the output to detect more types of files automatically and to distinguish between header and source .c files (which need different comment types.) Finally Greg ran the script using the .csv files to generate the patches. Reviewed-by: Kate Stewart <kstewart@linuxfoundation.org> Reviewed-by: Philippe Ombredanne <pombredanne@nexb.com> Reviewed-by: Thomas Gleixner <tglx@linutronix.de> Signed-off-by: Greg Kroah-Hartman <gregkh@linuxfoundation.org>
2017-11-01 22:07:57 +08:00
/* SPDX-License-Identifier: GPL-2.0 */
#ifndef __PERF_DATA_H
#define __PERF_DATA_H
perf data: Allow to use stdio functions for pipe mode When perf data is in a pipe, it reads each event separately using read(2) syscall. This is a huge performance bottleneck when processing large data like in perf inject. Also perf inject needs to use write(2) syscall for the output. So convert it to use buffer I/O functions in stdio library for pipe data. This makes inject-build-id bench time drops from 20ms to 8ms. $ perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.074 msec (+- 0.013 msec) Average time per event: 0.792 usec (+- 0.001 usec) Average memory usage: 8328 KB (+- 0 KB) Average build-id-all injection took: 5.490 msec (+- 0.008 msec) Average time per event: 0.538 usec (+- 0.001 usec) Average memory usage: 7563 KB (+- 0 KB) This patch enables it just for perf inject when used with pipe (it's a default behavior). Maybe we could do it for perf record and/or report later.. Committer testing: Before: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.605 msec (+- 0.064 msec) Average time per event: 1.334 usec (+- 0.006 usec) Average memory usage: 12220 KB (+- 7 KB) Average build-id-all injection took: 11.458 msec (+- 0.058 msec) Average time per event: 1.123 usec (+- 0.006 usec) Average memory usage: 11546 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.673 msec (+- 0.057 msec) Average time per event: 1.341 usec (+- 0.006 usec) Average memory usage: 12508 KB (+- 8 KB) Average build-id-all injection took: 11.437 msec (+- 0.046 msec) Average time per event: 1.121 usec (+- 0.004 usec) Average memory usage: 11812 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.641 msec (+- 0.069 msec) Average time per event: 1.337 usec (+- 0.007 usec) Average memory usage: 12302 KB (+- 8 KB) Average build-id-all injection took: 10.820 msec (+- 0.106 msec) Average time per event: 1.061 usec (+- 0.010 usec) Average memory usage: 11616 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.379 msec (+- 0.074 msec) Average time per event: 1.312 usec (+- 0.007 usec) Average memory usage: 12334 KB (+- 8 KB) Average build-id-all injection took: 11.288 msec (+- 0.071 msec) Average time per event: 1.107 usec (+- 0.007 usec) Average memory usage: 11657 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.534 msec (+- 0.058 msec) Average time per event: 1.327 usec (+- 0.006 usec) Average memory usage: 12264 KB (+- 8 KB) Average build-id-all injection took: 11.557 msec (+- 0.076 msec) Average time per event: 1.133 usec (+- 0.007 usec) Average memory usage: 11593 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 4,060.05 msec task-clock:u # 1.566 CPUs utilized ( +- 0.65% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 101,888 page-faults:u # 0.025 M/sec ( +- 0.12% ) 3,745,833,163 cycles:u # 0.923 GHz ( +- 0.10% ) (83.22%) 194,346,613 stalled-cycles-frontend:u # 5.19% frontend cycles idle ( +- 0.57% ) (83.30%) 708,495,034 stalled-cycles-backend:u # 18.91% backend cycles idle ( +- 0.48% ) (83.48%) 5,629,328,628 instructions:u # 1.50 insn per cycle # 0.13 stalled cycles per insn ( +- 0.21% ) (83.57%) 1,236,697,927 branches:u # 304.602 M/sec ( +- 0.16% ) (83.44%) 17,564,877 branch-misses:u # 1.42% of all branches ( +- 0.23% ) (82.99%) 2.5934 +- 0.0128 seconds time elapsed ( +- 0.49% ) $ After: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.560 msec (+- 0.125 msec) Average time per event: 0.839 usec (+- 0.012 usec) Average memory usage: 12520 KB (+- 8 KB) Average build-id-all injection took: 5.789 msec (+- 0.054 msec) Average time per event: 0.568 usec (+- 0.005 usec) Average memory usage: 11919 KB (+- 9 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.639 msec (+- 0.111 msec) Average time per event: 0.847 usec (+- 0.011 usec) Average memory usage: 12732 KB (+- 8 KB) Average build-id-all injection took: 5.647 msec (+- 0.069 msec) Average time per event: 0.554 usec (+- 0.007 usec) Average memory usage: 12093 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.551 msec (+- 0.096 msec) Average time per event: 0.838 usec (+- 0.009 usec) Average memory usage: 12739 KB (+- 8 KB) Average build-id-all injection took: 5.617 msec (+- 0.061 msec) Average time per event: 0.551 usec (+- 0.006 usec) Average memory usage: 12105 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.403 msec (+- 0.097 msec) Average time per event: 0.824 usec (+- 0.010 usec) Average memory usage: 12770 KB (+- 8 KB) Average build-id-all injection took: 5.611 msec (+- 0.085 msec) Average time per event: 0.550 usec (+- 0.008 usec) Average memory usage: 12134 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.518 msec (+- 0.102 msec) Average time per event: 0.835 usec (+- 0.010 usec) Average memory usage: 12518 KB (+- 10 KB) Average build-id-all injection took: 5.503 msec (+- 0.073 msec) Average time per event: 0.540 usec (+- 0.007 usec) Average memory usage: 11882 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 2,394.88 msec task-clock:u # 1.577 CPUs utilized ( +- 0.83% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 103,181 page-faults:u # 0.043 M/sec ( +- 0.11% ) 3,548,172,030 cycles:u # 1.482 GHz ( +- 0.30% ) (83.26%) 81,537,700 stalled-cycles-frontend:u # 2.30% frontend cycles idle ( +- 1.54% ) (83.24%) 876,631,544 stalled-cycles-backend:u # 24.71% backend cycles idle ( +- 1.14% ) (83.45%) 5,960,361,707 instructions:u # 1.68 insn per cycle # 0.15 stalled cycles per insn ( +- 0.27% ) (83.26%) 1,269,413,491 branches:u # 530.054 M/sec ( +- 0.10% ) (83.48%) 11,372,453 branch-misses:u # 0.90% of all branches ( +- 0.52% ) (83.31%) 1.51874 +- 0.00642 seconds time elapsed ( +- 0.42% ) $ Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@redhat.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Link: http://lore.kernel.org/lkml/20201030054742.87740-1-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2020-10-30 13:47:42 +08:00
#include <stdio.h>
#include <stdbool.h>
#include <unistd.h>
#include <linux/types.h>
enum perf_data_mode {
PERF_DATA_MODE_WRITE,
PERF_DATA_MODE_READ,
};
enum perf_dir_version {
PERF_DIR_SINGLE_FILE = 0,
PERF_DIR_VERSION = 1,
};
struct perf_data_file {
char *path;
perf data: Allow to use stdio functions for pipe mode When perf data is in a pipe, it reads each event separately using read(2) syscall. This is a huge performance bottleneck when processing large data like in perf inject. Also perf inject needs to use write(2) syscall for the output. So convert it to use buffer I/O functions in stdio library for pipe data. This makes inject-build-id bench time drops from 20ms to 8ms. $ perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.074 msec (+- 0.013 msec) Average time per event: 0.792 usec (+- 0.001 usec) Average memory usage: 8328 KB (+- 0 KB) Average build-id-all injection took: 5.490 msec (+- 0.008 msec) Average time per event: 0.538 usec (+- 0.001 usec) Average memory usage: 7563 KB (+- 0 KB) This patch enables it just for perf inject when used with pipe (it's a default behavior). Maybe we could do it for perf record and/or report later.. Committer testing: Before: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.605 msec (+- 0.064 msec) Average time per event: 1.334 usec (+- 0.006 usec) Average memory usage: 12220 KB (+- 7 KB) Average build-id-all injection took: 11.458 msec (+- 0.058 msec) Average time per event: 1.123 usec (+- 0.006 usec) Average memory usage: 11546 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.673 msec (+- 0.057 msec) Average time per event: 1.341 usec (+- 0.006 usec) Average memory usage: 12508 KB (+- 8 KB) Average build-id-all injection took: 11.437 msec (+- 0.046 msec) Average time per event: 1.121 usec (+- 0.004 usec) Average memory usage: 11812 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.641 msec (+- 0.069 msec) Average time per event: 1.337 usec (+- 0.007 usec) Average memory usage: 12302 KB (+- 8 KB) Average build-id-all injection took: 10.820 msec (+- 0.106 msec) Average time per event: 1.061 usec (+- 0.010 usec) Average memory usage: 11616 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.379 msec (+- 0.074 msec) Average time per event: 1.312 usec (+- 0.007 usec) Average memory usage: 12334 KB (+- 8 KB) Average build-id-all injection took: 11.288 msec (+- 0.071 msec) Average time per event: 1.107 usec (+- 0.007 usec) Average memory usage: 11657 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.534 msec (+- 0.058 msec) Average time per event: 1.327 usec (+- 0.006 usec) Average memory usage: 12264 KB (+- 8 KB) Average build-id-all injection took: 11.557 msec (+- 0.076 msec) Average time per event: 1.133 usec (+- 0.007 usec) Average memory usage: 11593 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 4,060.05 msec task-clock:u # 1.566 CPUs utilized ( +- 0.65% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 101,888 page-faults:u # 0.025 M/sec ( +- 0.12% ) 3,745,833,163 cycles:u # 0.923 GHz ( +- 0.10% ) (83.22%) 194,346,613 stalled-cycles-frontend:u # 5.19% frontend cycles idle ( +- 0.57% ) (83.30%) 708,495,034 stalled-cycles-backend:u # 18.91% backend cycles idle ( +- 0.48% ) (83.48%) 5,629,328,628 instructions:u # 1.50 insn per cycle # 0.13 stalled cycles per insn ( +- 0.21% ) (83.57%) 1,236,697,927 branches:u # 304.602 M/sec ( +- 0.16% ) (83.44%) 17,564,877 branch-misses:u # 1.42% of all branches ( +- 0.23% ) (82.99%) 2.5934 +- 0.0128 seconds time elapsed ( +- 0.49% ) $ After: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.560 msec (+- 0.125 msec) Average time per event: 0.839 usec (+- 0.012 usec) Average memory usage: 12520 KB (+- 8 KB) Average build-id-all injection took: 5.789 msec (+- 0.054 msec) Average time per event: 0.568 usec (+- 0.005 usec) Average memory usage: 11919 KB (+- 9 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.639 msec (+- 0.111 msec) Average time per event: 0.847 usec (+- 0.011 usec) Average memory usage: 12732 KB (+- 8 KB) Average build-id-all injection took: 5.647 msec (+- 0.069 msec) Average time per event: 0.554 usec (+- 0.007 usec) Average memory usage: 12093 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.551 msec (+- 0.096 msec) Average time per event: 0.838 usec (+- 0.009 usec) Average memory usage: 12739 KB (+- 8 KB) Average build-id-all injection took: 5.617 msec (+- 0.061 msec) Average time per event: 0.551 usec (+- 0.006 usec) Average memory usage: 12105 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.403 msec (+- 0.097 msec) Average time per event: 0.824 usec (+- 0.010 usec) Average memory usage: 12770 KB (+- 8 KB) Average build-id-all injection took: 5.611 msec (+- 0.085 msec) Average time per event: 0.550 usec (+- 0.008 usec) Average memory usage: 12134 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.518 msec (+- 0.102 msec) Average time per event: 0.835 usec (+- 0.010 usec) Average memory usage: 12518 KB (+- 10 KB) Average build-id-all injection took: 5.503 msec (+- 0.073 msec) Average time per event: 0.540 usec (+- 0.007 usec) Average memory usage: 11882 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 2,394.88 msec task-clock:u # 1.577 CPUs utilized ( +- 0.83% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 103,181 page-faults:u # 0.043 M/sec ( +- 0.11% ) 3,548,172,030 cycles:u # 1.482 GHz ( +- 0.30% ) (83.26%) 81,537,700 stalled-cycles-frontend:u # 2.30% frontend cycles idle ( +- 1.54% ) (83.24%) 876,631,544 stalled-cycles-backend:u # 24.71% backend cycles idle ( +- 1.14% ) (83.45%) 5,960,361,707 instructions:u # 1.68 insn per cycle # 0.15 stalled cycles per insn ( +- 0.27% ) (83.26%) 1,269,413,491 branches:u # 530.054 M/sec ( +- 0.10% ) (83.48%) 11,372,453 branch-misses:u # 0.90% of all branches ( +- 0.52% ) (83.31%) 1.51874 +- 0.00642 seconds time elapsed ( +- 0.42% ) $ Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@redhat.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Link: http://lore.kernel.org/lkml/20201030054742.87740-1-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2020-10-30 13:47:42 +08:00
union {
int fd;
FILE *fptr;
};
unsigned long size;
};
struct perf_data {
const char *path;
struct perf_data_file file;
bool is_pipe;
bool is_dir;
bool force;
perf data: Allow to use stdio functions for pipe mode When perf data is in a pipe, it reads each event separately using read(2) syscall. This is a huge performance bottleneck when processing large data like in perf inject. Also perf inject needs to use write(2) syscall for the output. So convert it to use buffer I/O functions in stdio library for pipe data. This makes inject-build-id bench time drops from 20ms to 8ms. $ perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.074 msec (+- 0.013 msec) Average time per event: 0.792 usec (+- 0.001 usec) Average memory usage: 8328 KB (+- 0 KB) Average build-id-all injection took: 5.490 msec (+- 0.008 msec) Average time per event: 0.538 usec (+- 0.001 usec) Average memory usage: 7563 KB (+- 0 KB) This patch enables it just for perf inject when used with pipe (it's a default behavior). Maybe we could do it for perf record and/or report later.. Committer testing: Before: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.605 msec (+- 0.064 msec) Average time per event: 1.334 usec (+- 0.006 usec) Average memory usage: 12220 KB (+- 7 KB) Average build-id-all injection took: 11.458 msec (+- 0.058 msec) Average time per event: 1.123 usec (+- 0.006 usec) Average memory usage: 11546 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.673 msec (+- 0.057 msec) Average time per event: 1.341 usec (+- 0.006 usec) Average memory usage: 12508 KB (+- 8 KB) Average build-id-all injection took: 11.437 msec (+- 0.046 msec) Average time per event: 1.121 usec (+- 0.004 usec) Average memory usage: 11812 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.641 msec (+- 0.069 msec) Average time per event: 1.337 usec (+- 0.007 usec) Average memory usage: 12302 KB (+- 8 KB) Average build-id-all injection took: 10.820 msec (+- 0.106 msec) Average time per event: 1.061 usec (+- 0.010 usec) Average memory usage: 11616 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.379 msec (+- 0.074 msec) Average time per event: 1.312 usec (+- 0.007 usec) Average memory usage: 12334 KB (+- 8 KB) Average build-id-all injection took: 11.288 msec (+- 0.071 msec) Average time per event: 1.107 usec (+- 0.007 usec) Average memory usage: 11657 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.534 msec (+- 0.058 msec) Average time per event: 1.327 usec (+- 0.006 usec) Average memory usage: 12264 KB (+- 8 KB) Average build-id-all injection took: 11.557 msec (+- 0.076 msec) Average time per event: 1.133 usec (+- 0.007 usec) Average memory usage: 11593 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 4,060.05 msec task-clock:u # 1.566 CPUs utilized ( +- 0.65% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 101,888 page-faults:u # 0.025 M/sec ( +- 0.12% ) 3,745,833,163 cycles:u # 0.923 GHz ( +- 0.10% ) (83.22%) 194,346,613 stalled-cycles-frontend:u # 5.19% frontend cycles idle ( +- 0.57% ) (83.30%) 708,495,034 stalled-cycles-backend:u # 18.91% backend cycles idle ( +- 0.48% ) (83.48%) 5,629,328,628 instructions:u # 1.50 insn per cycle # 0.13 stalled cycles per insn ( +- 0.21% ) (83.57%) 1,236,697,927 branches:u # 304.602 M/sec ( +- 0.16% ) (83.44%) 17,564,877 branch-misses:u # 1.42% of all branches ( +- 0.23% ) (82.99%) 2.5934 +- 0.0128 seconds time elapsed ( +- 0.49% ) $ After: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.560 msec (+- 0.125 msec) Average time per event: 0.839 usec (+- 0.012 usec) Average memory usage: 12520 KB (+- 8 KB) Average build-id-all injection took: 5.789 msec (+- 0.054 msec) Average time per event: 0.568 usec (+- 0.005 usec) Average memory usage: 11919 KB (+- 9 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.639 msec (+- 0.111 msec) Average time per event: 0.847 usec (+- 0.011 usec) Average memory usage: 12732 KB (+- 8 KB) Average build-id-all injection took: 5.647 msec (+- 0.069 msec) Average time per event: 0.554 usec (+- 0.007 usec) Average memory usage: 12093 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.551 msec (+- 0.096 msec) Average time per event: 0.838 usec (+- 0.009 usec) Average memory usage: 12739 KB (+- 8 KB) Average build-id-all injection took: 5.617 msec (+- 0.061 msec) Average time per event: 0.551 usec (+- 0.006 usec) Average memory usage: 12105 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.403 msec (+- 0.097 msec) Average time per event: 0.824 usec (+- 0.010 usec) Average memory usage: 12770 KB (+- 8 KB) Average build-id-all injection took: 5.611 msec (+- 0.085 msec) Average time per event: 0.550 usec (+- 0.008 usec) Average memory usage: 12134 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.518 msec (+- 0.102 msec) Average time per event: 0.835 usec (+- 0.010 usec) Average memory usage: 12518 KB (+- 10 KB) Average build-id-all injection took: 5.503 msec (+- 0.073 msec) Average time per event: 0.540 usec (+- 0.007 usec) Average memory usage: 11882 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 2,394.88 msec task-clock:u # 1.577 CPUs utilized ( +- 0.83% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 103,181 page-faults:u # 0.043 M/sec ( +- 0.11% ) 3,548,172,030 cycles:u # 1.482 GHz ( +- 0.30% ) (83.26%) 81,537,700 stalled-cycles-frontend:u # 2.30% frontend cycles idle ( +- 1.54% ) (83.24%) 876,631,544 stalled-cycles-backend:u # 24.71% backend cycles idle ( +- 1.14% ) (83.45%) 5,960,361,707 instructions:u # 1.68 insn per cycle # 0.15 stalled cycles per insn ( +- 0.27% ) (83.26%) 1,269,413,491 branches:u # 530.054 M/sec ( +- 0.10% ) (83.48%) 11,372,453 branch-misses:u # 0.90% of all branches ( +- 0.52% ) (83.31%) 1.51874 +- 0.00642 seconds time elapsed ( +- 0.42% ) $ Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@redhat.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Link: http://lore.kernel.org/lkml/20201030054742.87740-1-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2020-10-30 13:47:42 +08:00
bool use_stdio;
bool in_place_update;
enum perf_data_mode mode;
struct {
u64 version;
struct perf_data_file *files;
int nr;
} dir;
};
static inline bool perf_data__is_read(struct perf_data *data)
{
return data->mode == PERF_DATA_MODE_READ;
}
static inline bool perf_data__is_write(struct perf_data *data)
{
return data->mode == PERF_DATA_MODE_WRITE;
}
static inline int perf_data__is_pipe(struct perf_data *data)
{
return data->is_pipe;
}
static inline bool perf_data__is_dir(struct perf_data *data)
{
return data->is_dir;
}
static inline bool perf_data__is_single_file(struct perf_data *data)
{
return data->dir.version == PERF_DIR_SINGLE_FILE;
}
static inline int perf_data__fd(struct perf_data *data)
{
perf data: Allow to use stdio functions for pipe mode When perf data is in a pipe, it reads each event separately using read(2) syscall. This is a huge performance bottleneck when processing large data like in perf inject. Also perf inject needs to use write(2) syscall for the output. So convert it to use buffer I/O functions in stdio library for pipe data. This makes inject-build-id bench time drops from 20ms to 8ms. $ perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.074 msec (+- 0.013 msec) Average time per event: 0.792 usec (+- 0.001 usec) Average memory usage: 8328 KB (+- 0 KB) Average build-id-all injection took: 5.490 msec (+- 0.008 msec) Average time per event: 0.538 usec (+- 0.001 usec) Average memory usage: 7563 KB (+- 0 KB) This patch enables it just for perf inject when used with pipe (it's a default behavior). Maybe we could do it for perf record and/or report later.. Committer testing: Before: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.605 msec (+- 0.064 msec) Average time per event: 1.334 usec (+- 0.006 usec) Average memory usage: 12220 KB (+- 7 KB) Average build-id-all injection took: 11.458 msec (+- 0.058 msec) Average time per event: 1.123 usec (+- 0.006 usec) Average memory usage: 11546 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.673 msec (+- 0.057 msec) Average time per event: 1.341 usec (+- 0.006 usec) Average memory usage: 12508 KB (+- 8 KB) Average build-id-all injection took: 11.437 msec (+- 0.046 msec) Average time per event: 1.121 usec (+- 0.004 usec) Average memory usage: 11812 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.641 msec (+- 0.069 msec) Average time per event: 1.337 usec (+- 0.007 usec) Average memory usage: 12302 KB (+- 8 KB) Average build-id-all injection took: 10.820 msec (+- 0.106 msec) Average time per event: 1.061 usec (+- 0.010 usec) Average memory usage: 11616 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.379 msec (+- 0.074 msec) Average time per event: 1.312 usec (+- 0.007 usec) Average memory usage: 12334 KB (+- 8 KB) Average build-id-all injection took: 11.288 msec (+- 0.071 msec) Average time per event: 1.107 usec (+- 0.007 usec) Average memory usage: 11657 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.534 msec (+- 0.058 msec) Average time per event: 1.327 usec (+- 0.006 usec) Average memory usage: 12264 KB (+- 8 KB) Average build-id-all injection took: 11.557 msec (+- 0.076 msec) Average time per event: 1.133 usec (+- 0.007 usec) Average memory usage: 11593 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 4,060.05 msec task-clock:u # 1.566 CPUs utilized ( +- 0.65% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 101,888 page-faults:u # 0.025 M/sec ( +- 0.12% ) 3,745,833,163 cycles:u # 0.923 GHz ( +- 0.10% ) (83.22%) 194,346,613 stalled-cycles-frontend:u # 5.19% frontend cycles idle ( +- 0.57% ) (83.30%) 708,495,034 stalled-cycles-backend:u # 18.91% backend cycles idle ( +- 0.48% ) (83.48%) 5,629,328,628 instructions:u # 1.50 insn per cycle # 0.13 stalled cycles per insn ( +- 0.21% ) (83.57%) 1,236,697,927 branches:u # 304.602 M/sec ( +- 0.16% ) (83.44%) 17,564,877 branch-misses:u # 1.42% of all branches ( +- 0.23% ) (82.99%) 2.5934 +- 0.0128 seconds time elapsed ( +- 0.49% ) $ After: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.560 msec (+- 0.125 msec) Average time per event: 0.839 usec (+- 0.012 usec) Average memory usage: 12520 KB (+- 8 KB) Average build-id-all injection took: 5.789 msec (+- 0.054 msec) Average time per event: 0.568 usec (+- 0.005 usec) Average memory usage: 11919 KB (+- 9 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.639 msec (+- 0.111 msec) Average time per event: 0.847 usec (+- 0.011 usec) Average memory usage: 12732 KB (+- 8 KB) Average build-id-all injection took: 5.647 msec (+- 0.069 msec) Average time per event: 0.554 usec (+- 0.007 usec) Average memory usage: 12093 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.551 msec (+- 0.096 msec) Average time per event: 0.838 usec (+- 0.009 usec) Average memory usage: 12739 KB (+- 8 KB) Average build-id-all injection took: 5.617 msec (+- 0.061 msec) Average time per event: 0.551 usec (+- 0.006 usec) Average memory usage: 12105 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.403 msec (+- 0.097 msec) Average time per event: 0.824 usec (+- 0.010 usec) Average memory usage: 12770 KB (+- 8 KB) Average build-id-all injection took: 5.611 msec (+- 0.085 msec) Average time per event: 0.550 usec (+- 0.008 usec) Average memory usage: 12134 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.518 msec (+- 0.102 msec) Average time per event: 0.835 usec (+- 0.010 usec) Average memory usage: 12518 KB (+- 10 KB) Average build-id-all injection took: 5.503 msec (+- 0.073 msec) Average time per event: 0.540 usec (+- 0.007 usec) Average memory usage: 11882 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 2,394.88 msec task-clock:u # 1.577 CPUs utilized ( +- 0.83% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 103,181 page-faults:u # 0.043 M/sec ( +- 0.11% ) 3,548,172,030 cycles:u # 1.482 GHz ( +- 0.30% ) (83.26%) 81,537,700 stalled-cycles-frontend:u # 2.30% frontend cycles idle ( +- 1.54% ) (83.24%) 876,631,544 stalled-cycles-backend:u # 24.71% backend cycles idle ( +- 1.14% ) (83.45%) 5,960,361,707 instructions:u # 1.68 insn per cycle # 0.15 stalled cycles per insn ( +- 0.27% ) (83.26%) 1,269,413,491 branches:u # 530.054 M/sec ( +- 0.10% ) (83.48%) 11,372,453 branch-misses:u # 0.90% of all branches ( +- 0.52% ) (83.31%) 1.51874 +- 0.00642 seconds time elapsed ( +- 0.42% ) $ Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@redhat.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Link: http://lore.kernel.org/lkml/20201030054742.87740-1-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2020-10-30 13:47:42 +08:00
if (data->use_stdio)
return fileno(data->file.fptr);
return data->file.fd;
}
int perf_data__open(struct perf_data *data);
void perf_data__close(struct perf_data *data);
perf data: Allow to use stdio functions for pipe mode When perf data is in a pipe, it reads each event separately using read(2) syscall. This is a huge performance bottleneck when processing large data like in perf inject. Also perf inject needs to use write(2) syscall for the output. So convert it to use buffer I/O functions in stdio library for pipe data. This makes inject-build-id bench time drops from 20ms to 8ms. $ perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.074 msec (+- 0.013 msec) Average time per event: 0.792 usec (+- 0.001 usec) Average memory usage: 8328 KB (+- 0 KB) Average build-id-all injection took: 5.490 msec (+- 0.008 msec) Average time per event: 0.538 usec (+- 0.001 usec) Average memory usage: 7563 KB (+- 0 KB) This patch enables it just for perf inject when used with pipe (it's a default behavior). Maybe we could do it for perf record and/or report later.. Committer testing: Before: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.605 msec (+- 0.064 msec) Average time per event: 1.334 usec (+- 0.006 usec) Average memory usage: 12220 KB (+- 7 KB) Average build-id-all injection took: 11.458 msec (+- 0.058 msec) Average time per event: 1.123 usec (+- 0.006 usec) Average memory usage: 11546 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.673 msec (+- 0.057 msec) Average time per event: 1.341 usec (+- 0.006 usec) Average memory usage: 12508 KB (+- 8 KB) Average build-id-all injection took: 11.437 msec (+- 0.046 msec) Average time per event: 1.121 usec (+- 0.004 usec) Average memory usage: 11812 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.641 msec (+- 0.069 msec) Average time per event: 1.337 usec (+- 0.007 usec) Average memory usage: 12302 KB (+- 8 KB) Average build-id-all injection took: 10.820 msec (+- 0.106 msec) Average time per event: 1.061 usec (+- 0.010 usec) Average memory usage: 11616 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.379 msec (+- 0.074 msec) Average time per event: 1.312 usec (+- 0.007 usec) Average memory usage: 12334 KB (+- 8 KB) Average build-id-all injection took: 11.288 msec (+- 0.071 msec) Average time per event: 1.107 usec (+- 0.007 usec) Average memory usage: 11657 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 13.534 msec (+- 0.058 msec) Average time per event: 1.327 usec (+- 0.006 usec) Average memory usage: 12264 KB (+- 8 KB) Average build-id-all injection took: 11.557 msec (+- 0.076 msec) Average time per event: 1.133 usec (+- 0.007 usec) Average memory usage: 11593 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 4,060.05 msec task-clock:u # 1.566 CPUs utilized ( +- 0.65% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 101,888 page-faults:u # 0.025 M/sec ( +- 0.12% ) 3,745,833,163 cycles:u # 0.923 GHz ( +- 0.10% ) (83.22%) 194,346,613 stalled-cycles-frontend:u # 5.19% frontend cycles idle ( +- 0.57% ) (83.30%) 708,495,034 stalled-cycles-backend:u # 18.91% backend cycles idle ( +- 0.48% ) (83.48%) 5,629,328,628 instructions:u # 1.50 insn per cycle # 0.13 stalled cycles per insn ( +- 0.21% ) (83.57%) 1,236,697,927 branches:u # 304.602 M/sec ( +- 0.16% ) (83.44%) 17,564,877 branch-misses:u # 1.42% of all branches ( +- 0.23% ) (82.99%) 2.5934 +- 0.0128 seconds time elapsed ( +- 0.49% ) $ After: $ perf stat -r 5 perf bench internals inject-build-id # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.560 msec (+- 0.125 msec) Average time per event: 0.839 usec (+- 0.012 usec) Average memory usage: 12520 KB (+- 8 KB) Average build-id-all injection took: 5.789 msec (+- 0.054 msec) Average time per event: 0.568 usec (+- 0.005 usec) Average memory usage: 11919 KB (+- 9 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.639 msec (+- 0.111 msec) Average time per event: 0.847 usec (+- 0.011 usec) Average memory usage: 12732 KB (+- 8 KB) Average build-id-all injection took: 5.647 msec (+- 0.069 msec) Average time per event: 0.554 usec (+- 0.007 usec) Average memory usage: 12093 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.551 msec (+- 0.096 msec) Average time per event: 0.838 usec (+- 0.009 usec) Average memory usage: 12739 KB (+- 8 KB) Average build-id-all injection took: 5.617 msec (+- 0.061 msec) Average time per event: 0.551 usec (+- 0.006 usec) Average memory usage: 12105 KB (+- 7 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.403 msec (+- 0.097 msec) Average time per event: 0.824 usec (+- 0.010 usec) Average memory usage: 12770 KB (+- 8 KB) Average build-id-all injection took: 5.611 msec (+- 0.085 msec) Average time per event: 0.550 usec (+- 0.008 usec) Average memory usage: 12134 KB (+- 8 KB) # Running 'internals/inject-build-id' benchmark: Average build-id injection took: 8.518 msec (+- 0.102 msec) Average time per event: 0.835 usec (+- 0.010 usec) Average memory usage: 12518 KB (+- 10 KB) Average build-id-all injection took: 5.503 msec (+- 0.073 msec) Average time per event: 0.540 usec (+- 0.007 usec) Average memory usage: 11882 KB (+- 8 KB) Performance counter stats for 'perf bench internals inject-build-id' (5 runs): 2,394.88 msec task-clock:u # 1.577 CPUs utilized ( +- 0.83% ) 0 context-switches:u # 0.000 K/sec 0 cpu-migrations:u # 0.000 K/sec 103,181 page-faults:u # 0.043 M/sec ( +- 0.11% ) 3,548,172,030 cycles:u # 1.482 GHz ( +- 0.30% ) (83.26%) 81,537,700 stalled-cycles-frontend:u # 2.30% frontend cycles idle ( +- 1.54% ) (83.24%) 876,631,544 stalled-cycles-backend:u # 24.71% backend cycles idle ( +- 1.14% ) (83.45%) 5,960,361,707 instructions:u # 1.68 insn per cycle # 0.15 stalled cycles per insn ( +- 0.27% ) (83.26%) 1,269,413,491 branches:u # 530.054 M/sec ( +- 0.10% ) (83.48%) 11,372,453 branch-misses:u # 0.90% of all branches ( +- 0.52% ) (83.31%) 1.51874 +- 0.00642 seconds time elapsed ( +- 0.42% ) $ Signed-off-by: Namhyung Kim <namhyung@kernel.org> Acked-by: Jiri Olsa <jolsa@redhat.com> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com> Cc: Ian Rogers <irogers@google.com> Cc: Mark Rutland <mark.rutland@arm.com> Cc: Peter Zijlstra <peterz@infradead.org> Cc: Stephane Eranian <eranian@google.com> Link: http://lore.kernel.org/lkml/20201030054742.87740-1-namhyung@kernel.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2020-10-30 13:47:42 +08:00
ssize_t perf_data__read(struct perf_data *data, void *buf, size_t size);
ssize_t perf_data__write(struct perf_data *data,
void *buf, size_t size);
ssize_t perf_data_file__write(struct perf_data_file *file,
void *buf, size_t size);
/*
* If at_exit is set, only rename current perf.data to
* perf.data.<postfix>, continue write on original data.
* Set at_exit when flushing the last output.
*
* Return value is fd of new output.
*/
int perf_data__switch(struct perf_data *data,
const char *postfix,
size_t pos, bool at_exit, char **new_filepath);
int perf_data__create_dir(struct perf_data *data, int nr);
int perf_data__open_dir(struct perf_data *data);
void perf_data__close_dir(struct perf_data *data);
int perf_data__update_dir(struct perf_data *data);
unsigned long perf_data__size(struct perf_data *data);
perf record: Put a copy of kcore into the perf.data directory Add a new 'perf record' option '--kcore' which will put a copy of /proc/kcore, kallsyms and modules into a perf.data directory. Note, that without the --kcore option, output goes to a file as previously. The tools' -o and -i options work with either a file name or directory name. Example: $ sudo perf record --kcore uname $ sudo tree perf.data perf.data ├── kcore_dir │   ├── kallsyms │   ├── kcore │   └── modules └── data $ sudo perf script -v build id event received for vmlinux: 1eaa285996affce2d74d8e66dcea09a80c9941de build id event received for [vdso]: 8bbaf5dc62a9b644b4d4e4539737e104e4a84541 Samples for 'cycles' event do not have CPU attribute set. Skipping 'cpu' field. Using CPUID GenuineIntel-6-8E-A Using perf.data/kcore_dir/kcore for kernel data Using perf.data/kcore_dir/kallsyms for symbols perf 19058 506778.423729: 1 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423733: 1 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423734: 7 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423736: 117 cycles: ffffffffa2caa54a native_write_msr+0xa (vmlinux) perf 19058 506778.423738: 2092 cycles: ffffffffa2c9b7b0 native_apic_msr_write+0x0 (vmlinux) perf 19058 506778.423740: 37380 cycles: ffffffffa2f121d0 perf_event_addr_filters_exec+0x0 (vmlinux) uname 19058 506778.423751: 582673 cycles: ffffffffa303a407 propagate_protected_usage+0x147 (vmlinux) uname 19058 506778.423892: 2241841 cycles: ffffffffa2cae0c9 unwind_next_frame.part.5+0x79 (vmlinux) uname 19058 506778.424430: 2457397 cycles: ffffffffa3019232 check_memory_region+0x52 (vmlinux) Committer testing: # rm -rf perf.data* # perf record sleep 1 [ perf record: Woken up 1 times to write data ] [ perf record: Captured and wrote 0.024 MB perf.data (7 samples) ] # ls -l perf.data -rw-------. 1 root root 34772 Oct 21 11:08 perf.data # perf record --kcore uname Linux [ perf record: Woken up 1 times to write data ] [ perf record: Captured and wrote 0.024 MB perf.data (7 samples) ] ls[root@quaco ~]# ls -lad perf.data* drwx------. 3 root root 4096 Oct 21 11:08 perf.data -rw-------. 1 root root 34772 Oct 21 11:08 perf.data.old # perf evlist -v cycles: size: 112, { sample_period, sample_freq }: 4000, sample_type: IP|TID|TIME|PERIOD, read_format: ID, disabled: 1, inherit: 1, mmap: 1, comm: 1, freq: 1, enable_on_exec: 1, task: 1, precise_ip: 3, sample_id_all: 1, exclude_guest: 1, mmap2: 1, comm_exec: 1, ksymbol: 1, bpf_event: 1 # perf evlist -v -i perf.data/data cycles: size: 112, { sample_period, sample_freq }: 4000, sample_type: IP|TID|TIME|PERIOD, read_format: ID, disabled: 1, inherit: 1, mmap: 1, comm: 1, freq: 1, enable_on_exec: 1, task: 1, precise_ip: 3, sample_id_all: 1, exclude_guest: 1, mmap2: 1, comm_exec: 1, ksymbol: 1, bpf_event: 1 # Signed-off-by: Adrian Hunter <adrian.hunter@intel.com> Reviewed-by: Jiri Olsa <jolsa@kernel.org> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Link: http://lore.kernel.org/lkml/20191004083121.12182-6-adrian.hunter@intel.com Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2019-10-04 16:31:21 +08:00
int perf_data__make_kcore_dir(struct perf_data *data, char *buf, size_t buf_sz);
bool has_kcore_dir(const char *path);
perf record: Put a copy of kcore into the perf.data directory Add a new 'perf record' option '--kcore' which will put a copy of /proc/kcore, kallsyms and modules into a perf.data directory. Note, that without the --kcore option, output goes to a file as previously. The tools' -o and -i options work with either a file name or directory name. Example: $ sudo perf record --kcore uname $ sudo tree perf.data perf.data ├── kcore_dir │   ├── kallsyms │   ├── kcore │   └── modules └── data $ sudo perf script -v build id event received for vmlinux: 1eaa285996affce2d74d8e66dcea09a80c9941de build id event received for [vdso]: 8bbaf5dc62a9b644b4d4e4539737e104e4a84541 Samples for 'cycles' event do not have CPU attribute set. Skipping 'cpu' field. Using CPUID GenuineIntel-6-8E-A Using perf.data/kcore_dir/kcore for kernel data Using perf.data/kcore_dir/kallsyms for symbols perf 19058 506778.423729: 1 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423733: 1 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423734: 7 cycles: ffffffffa2caa548 native_write_msr+0x8 (vmlinux) perf 19058 506778.423736: 117 cycles: ffffffffa2caa54a native_write_msr+0xa (vmlinux) perf 19058 506778.423738: 2092 cycles: ffffffffa2c9b7b0 native_apic_msr_write+0x0 (vmlinux) perf 19058 506778.423740: 37380 cycles: ffffffffa2f121d0 perf_event_addr_filters_exec+0x0 (vmlinux) uname 19058 506778.423751: 582673 cycles: ffffffffa303a407 propagate_protected_usage+0x147 (vmlinux) uname 19058 506778.423892: 2241841 cycles: ffffffffa2cae0c9 unwind_next_frame.part.5+0x79 (vmlinux) uname 19058 506778.424430: 2457397 cycles: ffffffffa3019232 check_memory_region+0x52 (vmlinux) Committer testing: # rm -rf perf.data* # perf record sleep 1 [ perf record: Woken up 1 times to write data ] [ perf record: Captured and wrote 0.024 MB perf.data (7 samples) ] # ls -l perf.data -rw-------. 1 root root 34772 Oct 21 11:08 perf.data # perf record --kcore uname Linux [ perf record: Woken up 1 times to write data ] [ perf record: Captured and wrote 0.024 MB perf.data (7 samples) ] ls[root@quaco ~]# ls -lad perf.data* drwx------. 3 root root 4096 Oct 21 11:08 perf.data -rw-------. 1 root root 34772 Oct 21 11:08 perf.data.old # perf evlist -v cycles: size: 112, { sample_period, sample_freq }: 4000, sample_type: IP|TID|TIME|PERIOD, read_format: ID, disabled: 1, inherit: 1, mmap: 1, comm: 1, freq: 1, enable_on_exec: 1, task: 1, precise_ip: 3, sample_id_all: 1, exclude_guest: 1, mmap2: 1, comm_exec: 1, ksymbol: 1, bpf_event: 1 # perf evlist -v -i perf.data/data cycles: size: 112, { sample_period, sample_freq }: 4000, sample_type: IP|TID|TIME|PERIOD, read_format: ID, disabled: 1, inherit: 1, mmap: 1, comm: 1, freq: 1, enable_on_exec: 1, task: 1, precise_ip: 3, sample_id_all: 1, exclude_guest: 1, mmap2: 1, comm_exec: 1, ksymbol: 1, bpf_event: 1 # Signed-off-by: Adrian Hunter <adrian.hunter@intel.com> Reviewed-by: Jiri Olsa <jolsa@kernel.org> Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com> Link: http://lore.kernel.org/lkml/20191004083121.12182-6-adrian.hunter@intel.com Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2019-10-04 16:31:21 +08:00
char *perf_data__kallsyms_name(struct perf_data *data);
char *perf_data__guest_kallsyms_name(struct perf_data *data, pid_t machine_pid);
bool is_perf_data(const char *path);
#endif /* __PERF_DATA_H */