[PATCH v2 6/9] mm/damon: Add minimal user-space tools
From: sjpark
Date: Tue Jan 28 2020 - 04:01:00 EST
From: SeongJae Park <sjpark@xxxxxxxxx>
This commit adds a shallow wrapper python script, ``/tools/damon/damo``
that provides more convenient interface. Note that it is only aimed to
be used for minimal reference of the DAMON's raw interfaces and for
debugging of the DAMON itself. Based on the debugfs interface, you can
create another cool and more convenient user space tools.
Signed-off-by: SeongJae Park <sjpark@xxxxxxxxx>
---
MAINTAINERS | 1 +
tools/damon/.gitignore | 1 +
tools/damon/_dist.py | 35 ++++
tools/damon/bin2txt.py | 64 +++++++
tools/damon/damo | 37 ++++
tools/damon/heats.py | 358 ++++++++++++++++++++++++++++++++++++++
tools/damon/nr_regions.py | 88 ++++++++++
tools/damon/record.py | 194 +++++++++++++++++++++
tools/damon/report.py | 45 +++++
tools/damon/wss.py | 94 ++++++++++
10 files changed, 917 insertions(+)
create mode 100644 tools/damon/.gitignore
create mode 100644 tools/damon/_dist.py
create mode 100644 tools/damon/bin2txt.py
create mode 100755 tools/damon/damo
create mode 100644 tools/damon/heats.py
create mode 100644 tools/damon/nr_regions.py
create mode 100644 tools/damon/record.py
create mode 100644 tools/damon/report.py
create mode 100644 tools/damon/wss.py
diff --git a/MAINTAINERS b/MAINTAINERS
index 5a4db07cad33..95729c138d34 100644
--- a/MAINTAINERS
+++ b/MAINTAINERS
@@ -4616,6 +4616,7 @@ M: SeongJae Park <sjpark@xxxxxxxxx>
L: linux-mm@xxxxxxxxx
S: Maintained
F: mm/damon.c
+F: tools/damon/*
DAVICOM FAST ETHERNET (DMFE) NETWORK DRIVER
L: netdev@xxxxxxxxxxxxxxx
diff --git a/tools/damon/.gitignore b/tools/damon/.gitignore
new file mode 100644
index 000000000000..96403d36ff93
--- /dev/null
+++ b/tools/damon/.gitignore
@@ -0,0 +1 @@
+__pycache__/*
diff --git a/tools/damon/_dist.py b/tools/damon/_dist.py
new file mode 100644
index 000000000000..f26409cf9232
--- /dev/null
+++ b/tools/damon/_dist.py
@@ -0,0 +1,35 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+import os
+import struct
+import subprocess
+
+def access_patterns(f):
+ nr_regions = struct.unpack('I', f.read(4))[0]
+
+ patterns = []
+ for r in range(nr_regions):
+ saddr = struct.unpack('L', f.read(8))[0]
+ eaddr = struct.unpack('L', f.read(8))[0]
+ nr_accesses = struct.unpack('I', f.read(4))[0]
+ patterns.append([eaddr - saddr, nr_accesses])
+ return patterns
+
+def plot_dist(data_file, output_file, xlabel):
+ terminal = output_file.split('.')[-1]
+ if not terminal in ['pdf', 'jpeg', 'png', 'svg']:
+ os.remove(data_file)
+ print("Unsupported plot output type.")
+ exit(-1)
+
+ gnuplot_cmd = """
+ set term %s;
+ set output '%s';
+ set key off;
+ set ylabel 'working set size (bytes)';
+ set xlabel '%s';
+ plot '%s' with linespoints;""" % (terminal, output_file, xlabel, data_file)
+ subprocess.call(['gnuplot', '-e', gnuplot_cmd])
+ os.remove(data_file)
+
diff --git a/tools/damon/bin2txt.py b/tools/damon/bin2txt.py
new file mode 100644
index 000000000000..d5ffac60e02c
--- /dev/null
+++ b/tools/damon/bin2txt.py
@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+import argparse
+import os
+import struct
+import sys
+
+def parse_time(bindat):
+ "bindat should be 16 bytes"
+ sec = struct.unpack('l', bindat[0:8])[0]
+ nsec = struct.unpack('l', bindat[8:16])[0]
+ return sec * 1000000000 + nsec;
+
+def pr_region(f):
+ saddr = struct.unpack('L', f.read(8))[0]
+ eaddr = struct.unpack('L', f.read(8))[0]
+ nr_accesses = struct.unpack('I', f.read(4))[0]
+ print("%012x-%012x(%10d):\t%d" %
+ (saddr, eaddr, eaddr - saddr, nr_accesses))
+
+def pr_task_info(f):
+ pid = struct.unpack('L', f.read(8))[0]
+ print("pid: ", pid)
+ nr_regions = struct.unpack('I', f.read(4))[0]
+ print("nr_regions: ", nr_regions)
+ for r in range(nr_regions):
+ pr_region(f)
+
+def set_argparser(parser):
+ parser.add_argument('--input', '-i', type=str, metavar='<file>',
+ default='damon.data', help='input file name')
+
+def main(args=None):
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ file_path = args.input
+
+ if not os.path.isfile(file_path):
+ print('input file (%s) is not exist' % file_path)
+ exit(1)
+
+ with open(file_path, 'rb') as f:
+ start_time = None
+ while True:
+ timebin = f.read(16)
+ if len(timebin) != 16:
+ break
+ time = parse_time(timebin)
+ if not start_time:
+ start_time = time
+ print("start_time: ", start_time)
+ print("rel time: %16d" % (time - start_time))
+ nr_tasks = struct.unpack('I', f.read(4))[0]
+ print("nr_tasks: ", nr_tasks)
+ for t in range(nr_tasks):
+ pr_task_info(f)
+ print("")
+
+if __name__ == '__main__':
+ main()
diff --git a/tools/damon/damo b/tools/damon/damo
new file mode 100755
index 000000000000..58e1099ae5fc
--- /dev/null
+++ b/tools/damon/damo
@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+import argparse
+
+import record
+import report
+
+class SubCmdHelpFormatter(argparse.RawDescriptionHelpFormatter):
+ def _format_action(self, action):
+ parts = super(argparse.RawDescriptionHelpFormatter,
+ self)._format_action(action)
+ # skip sub parsers help
+ if action.nargs == argparse.PARSER:
+ parts = '\n'.join(parts.split('\n')[1:])
+ return parts
+
+parser = argparse.ArgumentParser(formatter_class=SubCmdHelpFormatter)
+
+subparser = parser.add_subparsers(title='command', dest='command',
+ metavar='<command>')
+subparser.required = True
+
+parser_record = subparser.add_parser('record',
+ help='record data accesses of the given target processes')
+record.set_argparser(parser_record)
+
+parser_report = subparser.add_parser('report',
+ help='report the recorded data accesses in the specified form')
+report.set_argparser(parser_report)
+
+args = parser.parse_args()
+
+if args.command == 'record':
+ record.main(args)
+elif args.command == 'report':
+ report.main(args)
diff --git a/tools/damon/heats.py b/tools/damon/heats.py
new file mode 100644
index 000000000000..48e966c5ca02
--- /dev/null
+++ b/tools/damon/heats.py
@@ -0,0 +1,358 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+"""
+Transform binary trace data into human readable text that can be used for
+heatmap drawing, or directly plot the data in a heatmap format.
+
+Format of the text is:
+
+ <time> <space> <heat>
+ ...
+
+"""
+
+import argparse
+import os
+import struct
+import subprocess
+import sys
+import tempfile
+
+class HeatSample:
+ space_idx = None
+ sz_time_space = None
+ heat = None
+
+ def __init__(self, space_idx, sz_time_space, heat):
+ if sz_time_space < 0:
+ raise RuntimeError()
+ self.space_idx = space_idx
+ self.sz_time_space = sz_time_space
+ self.heat = heat
+
+ def total_heat(self):
+ return self.heat * self.sz_time_space
+
+ def merge(self, sample):
+ "sample must have a space idx that same to self"
+ heat_sum = self.total_heat() + sample.total_heat()
+ self.heat = heat_sum / (self.sz_time_space + sample.sz_time_space)
+ self.sz_time_space += sample.sz_time_space
+
+def pr_samples(samples, time_idx, time_unit, region_unit):
+ display_time = time_idx * time_unit
+ for idx, sample in enumerate(samples):
+ display_addr = idx * region_unit
+ if not sample:
+ print("%s\t%s\t%s" % (display_time, display_addr, 0.0))
+ continue
+ print("%s\t%s\t%s" % (display_time, display_addr, sample.total_heat() /
+ time_unit / region_unit))
+
+def to_idx(value, min_, unit):
+ return (value - min_) // unit
+
+def read_task_heats(f, pid, aunit, amin, amax):
+ pid_ = struct.unpack('L', f.read(8))[0]
+ nr_regions = struct.unpack('I', f.read(4))[0]
+ if pid_ != pid:
+ f.read(20 * nr_regions)
+ return None
+ samples = []
+ for i in range(nr_regions):
+ saddr = struct.unpack('L', f.read(8))[0]
+ eaddr = struct.unpack('L', f.read(8))[0]
+ eaddr = min(eaddr, amax - 1)
+ heat = struct.unpack('I', f.read(4))[0]
+
+ if eaddr <= amin:
+ continue
+ if saddr >= amax:
+ continue
+ saddr = max(amin, saddr)
+ eaddr = min(amax, eaddr)
+
+ sidx = to_idx(saddr, amin, aunit)
+ eidx = to_idx(eaddr - 1, amin, aunit)
+ for idx in range(sidx, eidx + 1):
+ sa = max(amin + idx * aunit, saddr)
+ ea = min(amin + (idx + 1) * aunit, eaddr)
+ sample = HeatSample(idx, (ea - sa), heat)
+ samples.append(sample)
+ return samples
+
+def parse_time(bindat):
+ sec = struct.unpack('l', bindat[0:8])[0]
+ nsec = struct.unpack('l', bindat[8:16])[0]
+ return sec * 1000000000 + nsec
+
+def apply_samples(target_samples, samples, start_time, end_time, aunit, amin):
+ for s in samples:
+ sample = HeatSample(s.space_idx,
+ s.sz_time_space * (end_time - start_time), s.heat)
+ idx = sample.space_idx
+ if not target_samples[idx]:
+ target_samples[idx] = sample
+ else:
+ target_samples[idx].merge(sample)
+
+def __pr_heats(f, pid, tunit, tmin, tmax, aunit, amin, amax):
+ heat_samples = [None] * ((amax - amin) // aunit)
+
+ start_time = 0
+ end_time = 0
+ last_flushed = -1
+ while True:
+ start_time = end_time
+ timebin = f.read(16)
+ if (len(timebin)) != 16:
+ break
+ end_time = parse_time(timebin)
+ nr_tasks = struct.unpack('I', f.read(4))[0]
+ samples_set = {}
+ for t in range(nr_tasks):
+ samples = read_task_heats(f, pid, aunit, amin, amax)
+ if samples:
+ samples_set[pid] = samples
+ if not pid in samples_set:
+ continue
+ if start_time >= tmax:
+ continue
+ if end_time <= tmin:
+ continue
+ start_time = max(start_time, tmin)
+ end_time = min(end_time, tmax)
+
+ sidx = to_idx(start_time, tmin, tunit)
+ eidx = to_idx(end_time - 1, tmin, tunit)
+ for idx in range(sidx, eidx + 1):
+ if idx != last_flushed:
+ pr_samples(heat_samples, idx, tunit, aunit)
+ heat_samples = [None] * ((amax - amin) // aunit)
+ last_flushed = idx
+ st = max(start_time, tmin + idx * tunit)
+ et = min(end_time, tmin + (idx + 1) * tunit)
+ apply_samples(heat_samples, samples_set[pid], st, et, aunit, amin)
+
+def pr_heats(args):
+ binfile = args.input
+ pid = args.pid
+ tres = args.tres
+ tmin = args.tmin
+ ares = args.ares
+ amin = args.amin
+
+ tunit = (args.tmax - tmin) // tres
+ aunit = (args.amax - amin) // ares
+
+ # Compensate the values so that those fit with the resolution
+ tmax = tmin + tunit * tres
+ amax = amin + aunit * ares
+
+ with open(binfile, 'rb') as f:
+ __pr_heats(f, pid, tunit, tmin, tmax, aunit, amin, amax)
+
+class GuideInfo:
+ pid = None
+ start_time = None
+ end_time = None
+ lowest_addr = None
+ highest_addr = None
+ gaps = None
+
+ def __init__(self, pid, start_time):
+ self.pid = pid
+ self.start_time = start_time
+ self.gaps = []
+
+ def regions(self):
+ regions = []
+ region = [self.lowest_addr]
+ for gap in self.gaps:
+ for idx, point in enumerate(gap):
+ if idx == 0:
+ region.append(point)
+ regions.append(region)
+ else:
+ region = [point]
+ region.append(self.highest_addr)
+ regions.append(region)
+ return regions
+
+ def total_space(self):
+ ret = 0
+ for r in self.regions():
+ ret += r[1] - r[0]
+ return ret
+
+ def __str__(self):
+ lines = ['pid:%d' % self.pid]
+ lines.append('time: %d-%d (%d)' % (self.start_time, self.end_time,
+ self.end_time - self.start_time))
+ for idx, region in enumerate(self.regions()):
+ lines.append('region\t%2d: %020d-%020d (%d)' %
+ (idx, region[0], region[1], region[1] - region[0]))
+ return '\n'.join(lines)
+
+def is_overlap(region1, region2):
+ if region1[1] < region2[0]:
+ return False
+ if region2[1] < region1[0]:
+ return False
+ return True
+
+def overlap_region_of(region1, region2):
+ return [max(region1[0], region2[0]), min(region1[1], region2[1])]
+
+def overlapping_regions(regions1, regions2):
+ overlap_regions = []
+ for r1 in regions1:
+ for r2 in regions2:
+ if is_overlap(r1, r2):
+ r1 = overlap_region_of(r1, r2)
+ if r1:
+ overlap_regions.append(r1)
+ return overlap_regions
+
+def get_guide_info(binfile):
+ "Read file, return the set of guide information objects of the data"
+ guides = {}
+ with open(binfile, 'rb') as f:
+ while True:
+ timebin = f.read(16)
+ if len(timebin) != 16:
+ break
+ monitor_time = parse_time(timebin)
+ nr_tasks = struct.unpack('I', f.read(4))[0]
+ for t in range(nr_tasks):
+ pid = struct.unpack('L', f.read(8))[0]
+ nr_regions = struct.unpack('I', f.read(4))[0]
+ if not pid in guides:
+ guides[pid] = GuideInfo(pid, monitor_time)
+ guide = guides[pid]
+ guide.end_time = monitor_time
+
+ last_addr = None
+ gaps = []
+ for r in range(nr_regions):
+ saddr = struct.unpack('L', f.read(8))[0]
+ eaddr = struct.unpack('L', f.read(8))[0]
+ f.read(4)
+
+ if not guide.lowest_addr or saddr < guide.lowest_addr:
+ guide.lowest_addr = saddr
+ if not guide.highest_addr or eaddr > guide.highest_addr:
+ guide.highest_addr = eaddr
+
+ if not last_addr:
+ last_addr = eaddr
+ continue
+ if last_addr != saddr:
+ gaps.append([last_addr, saddr])
+ last_addr = eaddr
+
+ if not guide.gaps:
+ guide.gaps = gaps
+ else:
+ guide.gaps = overlapping_regions(guide.gaps, gaps)
+ return sorted(list(guides.values()), key=lambda x: x.total_space(),
+ reverse=True)
+
+def pr_guide(binfile):
+ for guide in get_guide_info(binfile):
+ print(guide)
+
+def region_sort_key(region):
+ return region[1] - region[0]
+
+def set_missed_args(args):
+ if args.pid and args.tmin and args.tmax and args.amin and args.amax:
+ return
+ guides = get_guide_info(args.input)
+ guide = guides[0]
+ if not args.pid:
+ args.pid = guide.pid
+ for g in guides:
+ if g.pid == args.pid:
+ guide = g
+ break
+
+ if not args.tmin:
+ args.tmin = guide.start_time
+ if not args.tmax:
+ args.tmax = guide.end_time
+
+ if not args.amin or not args.amax:
+ region = sorted(guide.regions(), key=lambda x: x[1] - x[0],
+ reverse=True)[0]
+ args.amin = region[0]
+ args.amax = region[1]
+
+def plot_heatmap(data_file, output_file):
+ terminal = output_file.split('.')[-1]
+ if not terminal in ['pdf', 'jpeg', 'png', 'svg']:
+ os.remove(data_file)
+ print("Unsupported plot output type.")
+ exit(-1)
+
+ gnuplot_cmd = """
+ set term %s;
+ set output '%s';
+ set key off;
+ set xrange [0:];
+ set yrange [0:];
+ set xlabel 'Time (ns)';
+ set ylabel 'Virtual Address (bytes)';
+ plot '%s' using 1:2:3 with image;""" % (terminal, output_file, data_file)
+ subprocess.call(['gnuplot', '-e', gnuplot_cmd])
+ os.remove(data_file)
+
+def set_argparser(parser):
+ parser.add_argument('--input', '-i', type=str, metavar='<file>',
+ default='damon.data', help='input file name')
+ parser.add_argument('--pid', metavar='<pid>', type=int,
+ help='pid of target task')
+ parser.add_argument('--tres', metavar='<resolution>', type=int,
+ default=500, help='time resolution of the output')
+ parser.add_argument('--tmin', metavar='<time>', type=lambda x: int(x,0),
+ help='minimal time of the output')
+ parser.add_argument('--tmax', metavar='<time>', type=lambda x: int(x,0),
+ help='maximum time of the output')
+ parser.add_argument('--ares', metavar='<resolution>', type=int, default=500,
+ help='space address resolution of the output')
+ parser.add_argument('--amin', metavar='<address>', type=lambda x: int(x,0),
+ help='minimal space address of the output')
+ parser.add_argument('--amax', metavar='<address>', type=lambda x: int(x,0),
+ help='maximum space address of the output')
+ parser.add_argument('--guide', action='store_true',
+ help='print a guidance for the min/max/resolution settings')
+ parser.add_argument('--heatmap', metavar='<file>', type=str,
+ help='heatmap image file to create')
+
+def main(args=None):
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ if args.guide:
+ pr_guide(args.input)
+ else:
+ set_missed_args(args)
+ orig_stdout = sys.stdout
+ if args.heatmap:
+ tmp_path = tempfile.mkstemp()[1]
+ tmp_file = open(tmp_path, 'w')
+ sys.stdout = tmp_file
+
+ pr_heats(args)
+
+ if args.heatmap:
+ sys.stdout = orig_stdout
+ tmp_file.flush()
+ tmp_file.close()
+ plot_heatmap(tmp_path, args.heatmap)
+
+if __name__ == '__main__':
+ main()
diff --git a/tools/damon/nr_regions.py b/tools/damon/nr_regions.py
new file mode 100644
index 000000000000..4eb7e824f7b6
--- /dev/null
+++ b/tools/damon/nr_regions.py
@@ -0,0 +1,88 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+"Print out distribution of the number of regions in the given record"
+
+import argparse
+import struct
+import sys
+import tempfile
+
+import _dist
+
+def set_argparser(parser):
+ parser.add_argument('--input', '-i', type=str, metavar='<file>',
+ default='damon.data', help='input file name')
+ parser.add_argument('--range', '-r', type=int, nargs=3,
+ metavar=('<start>', '<stop>', '<step>'),
+ help='range of percentiles to print')
+ parser.add_argument('--sortby', '-s', choices=['time', 'size'],
+ help='the metric to be used for sorting the number of regions')
+ parser.add_argument('--plot', '-p', type=str, metavar='<file>',
+ help='plot the distribution to an image file')
+
+def main(args=None):
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ percentiles = [0, 25, 50, 75, 100]
+
+ file_path = args.input
+ if args.range:
+ percentiles = range(args.range[0], args.range[1], args.range[2])
+ nr_regions_sort = True
+ if args.sortby == 'time':
+ nr_regions_sort = False
+
+ pid_pattern_map = {}
+ with open(file_path, 'rb') as f:
+ start_time = None
+ while True:
+ timebin = f.read(16)
+ if len(timebin) != 16:
+ break
+ nr_tasks = struct.unpack('I', f.read(4))[0]
+ for t in range(nr_tasks):
+ pid = struct.unpack('L', f.read(8))[0]
+ if not pid in pid_pattern_map:
+ pid_pattern_map[pid] = []
+ pid_pattern_map[pid].append(_dist.access_patterns(f))
+
+ orig_stdout = sys.stdout
+ if args.plot:
+ tmp_path = tempfile.mkstemp()[1]
+ tmp_file = open(tmp_path, 'w')
+ sys.stdout = tmp_file
+
+ print('# <percentile> <# regions>')
+ for pid in pid_pattern_map.keys():
+ # Skip firs 20 regions as those would not adaptively adjusted
+ snapshots = pid_pattern_map[pid][20:]
+ nr_regions_dist = []
+ for snapshot in snapshots:
+ nr_regions_dist.append(len(snapshot))
+ if nr_regions_sort:
+ nr_regions_dist.sort(reverse=False)
+
+ print('# pid\t%s' % pid)
+ print('# avr:\t%d' % (sum(nr_regions_dist) / len(nr_regions_dist)))
+ for percentile in percentiles:
+ thres_idx = int(percentile / 100.0 * len(nr_regions_dist))
+ if thres_idx == len(nr_regions_dist):
+ thres_idx -= 1
+ threshold = nr_regions_dist[thres_idx]
+ print('%d\t%d' % (percentile, nr_regions_dist[thres_idx]))
+
+ if args.plot:
+ sys.stdout = orig_stdout
+ tmp_file.flush()
+ tmp_file.close()
+ xlabel = 'runtime (percent)'
+ if nr_regions_sort:
+ xlabel = 'percentile'
+ _dist.plot_dist(tmp_path, args.plot, xlabel)
+
+if __name__ == '__main__':
+ main()
diff --git a/tools/damon/record.py b/tools/damon/record.py
new file mode 100644
index 000000000000..fe417ae9a284
--- /dev/null
+++ b/tools/damon/record.py
@@ -0,0 +1,194 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+"""
+Record data access patterns of the target process.
+"""
+
+import argparse
+import copy
+import os
+import signal
+import subprocess
+import time
+
+debugfs_attrs = None
+debugfs_pids = None
+debugfs_monitor_on = None
+
+def set_target_pid(pid):
+ return subprocess.call('echo %s > %s' % (pid, debugfs_pids), shell=True,
+ executable='/bin/bash')
+
+def turn_damon(on_off):
+ return subprocess.call("echo %s > %s" % (on_off, debugfs_monitor_on),
+ shell=True, executable="/bin/bash")
+
+def is_damon_running():
+ with open(debugfs_monitor_on, 'r') as f:
+ return f.read().strip() == 'on'
+
+def do_record(target, is_target_cmd, attrs, old_attrs):
+ if os.path.isfile(attrs.rfile_path):
+ os.rename(attrs.rfile_path, attrs.rfile_path + '.old')
+
+ if attrs.apply():
+ print('attributes (%s) failed to be applied' % attrs)
+ cleanup_exit(old_attrs, -1)
+ print('# damon attrs: %s' % attrs)
+ if is_target_cmd:
+ p = subprocess.Popen(target, shell=True, executable='/bin/bash')
+ target = p.pid
+ if set_target_pid(target):
+ print('pid setting (%s) failed' % target)
+ cleanup_exit(old_attrs, -2)
+ if turn_damon('on'):
+ print('could not turn on damon' % target)
+ cleanup_exit(old_attrs, -3)
+ if is_target_cmd:
+ p.wait()
+ while True:
+ # damon will turn it off by itself if the target tasks are terminated.
+ if not is_damon_running():
+ break
+ time.sleep(1)
+
+ cleanup_exit(old_attrs, 0)
+
+class Attrs:
+ sample_interval = None
+ aggr_interval = None
+ regions_update_interval = None
+ min_nr_regions = None
+ max_nr_regions = None
+ rfile_path = None
+
+ def __init__(self, s, a, r, n, x, f):
+ self.sample_interval = s
+ self.aggr_interval = a
+ self.regions_update_interval = r
+ self.min_nr_regions = n
+ self.max_nr_regions = x
+ self.rfile_path = f
+
+ def __str__(self):
+ return "%s %s %s %s %s %s" % (self.sample_interval, self.aggr_interval,
+ self.regions_update_interval, self.min_nr_regions,
+ self.max_nr_regions, self.rfile_path)
+
+ def apply(self):
+ return subprocess.call('echo %s > %s' % (self, debugfs_attrs),
+ shell=True, executable='/bin/bash')
+
+def current_attrs():
+ with open(debugfs_attrs, 'r') as f:
+ attrs = f.read().split()
+ atnrs = [int(x) for x in attrs[0:5]]
+ attrs = atnrs + [attrs[5]]
+ return Attrs(*attrs)
+
+def cmd_args_to_attrs(args):
+ "Generate attributes based on current attributes and command arguments"
+ a = current_attrs()
+ if args.sample:
+ a.sample_interval = args.sample
+ if args.aggr:
+ a.aggr_interval = args.aggr
+ if args.updr:
+ a.regions_update_interval = args.updr
+ if args.minr:
+ a.min_nr_regions = args.minr
+ if args.maxr:
+ a.max_nr_regions = args.maxr
+ if args.out:
+ if not os.path.isabs(args.out):
+ args.out = os.path.join(os.getcwd(), args.out)
+ a.rfile_path = args.out
+ return a
+
+def cleanup_exit(orig_attrs, exit_code):
+ if is_damon_running():
+ if turn_damon('off'):
+ print('failed to turn damon off!')
+ if orig_attrs:
+ if orig_attrs.apply():
+ print('original attributes (%s) restoration failed!' % orig_attrs)
+ exit(exit_code)
+
+def sighandler(signum, frame):
+ print('\nsignal %s received' % signum)
+ cleanup_exit(orig_attrs, signum)
+
+def chk_update_debugfs(debugfs):
+ global debugfs_attrs
+ global debugfs_pids
+ global debugfs_monitor_on
+
+ debugfs_damon = os.path.join(debugfs, 'damon')
+ debugfs_attrs = os.path.join(debugfs_damon, 'attrs')
+ debugfs_pids = os.path.join(debugfs_damon, 'pids')
+ debugfs_monitor_on = os.path.join(debugfs_damon, 'monitor_on')
+
+ if not os.path.isdir(debugfs_damon):
+ print("damon debugfs dir (%s) not found", debugfs_damon)
+ exit(1)
+
+ for f in [debugfs_attrs, debugfs_pids, debugfs_monitor_on]:
+ if not os.path.isfile(f):
+ print("damon debugfs file (%s) not found" % f)
+ exit(1)
+
+def chk_permission():
+ if os.geteuid() != 0:
+ print("Run as root")
+ exit(1)
+
+def set_argparser(parser):
+ parser.add_argument('target', type=str, metavar='<target>',
+ help='the target command or the pid to record')
+ parser.add_argument('-s', '--sample', metavar='<interval>', type=int,
+ help='sampling interval')
+ parser.add_argument('-a', '--aggr', metavar='<interval>', type=int,
+ help='aggregate interval')
+ parser.add_argument('-u', '--updr', metavar='<interval>', type=int,
+ help='regions update interval')
+ parser.add_argument('-n', '--minr', metavar='<# regions>', type=int,
+ help='minimal number of regions')
+ parser.add_argument('-m', '--maxr', metavar='<# regions>', type=int,
+ help='maximum number of regions')
+ parser.add_argument('-o', '--out', metavar='<file path>', type=str,
+ default='damon.data', help='output file path')
+ parser.add_argument('-d', '--debugfs', metavar='<debugfs>', type=str,
+ default='/sys/kernel/debug', help='debugfs mounted path')
+
+def main(args=None):
+ global orig_attrs
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ chk_permission()
+ chk_update_debugfs(args.debugfs)
+
+ signal.signal(signal.SIGINT, sighandler)
+ signal.signal(signal.SIGTERM, sighandler)
+ orig_attrs = current_attrs()
+
+ new_attrs = cmd_args_to_attrs(args)
+ target = args.target
+
+ target_fields = target.split()
+ if not subprocess.call('which %s > /dev/null' % target_fields[0],
+ shell=True, executable='/bin/bash'):
+ do_record(target, True, new_attrs, orig_attrs)
+ else:
+ try:
+ pid = int(target)
+ except:
+ print('target \'%s\' is neither a command, nor a pid' % target)
+ exit(1)
+ do_record(target, False, new_attrs, orig_attrs)
+
+if __name__ == '__main__':
+ main()
diff --git a/tools/damon/report.py b/tools/damon/report.py
new file mode 100644
index 000000000000..c661c7b2f1af
--- /dev/null
+++ b/tools/damon/report.py
@@ -0,0 +1,45 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+import argparse
+
+import bin2txt
+import heats
+import nr_regions
+import wss
+
+def set_argparser(parser):
+ subparsers = parser.add_subparsers(title='report type', dest='report_type',
+ metavar='<report type>', help='the type of the report to generate')
+ subparsers.required = True
+
+ parser_raw = subparsers.add_parser('raw', help='human readable raw data')
+ bin2txt.set_argparser(parser_raw)
+
+ parser_heats = subparsers.add_parser('heats', help='heats of regions')
+ heats.set_argparser(parser_heats)
+
+ parser_wss = subparsers.add_parser('wss', help='working set size')
+ wss.set_argparser(parser_wss)
+
+ parser_nr_regions = subparsers.add_parser('nr_regions',
+ help='number of regions')
+ nr_regions.set_argparser(parser_nr_regions)
+
+def main(args=None):
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ if args.report_type == 'raw':
+ bin2txt.main(args)
+ elif args.report_type == 'heats':
+ heats.main(args)
+ elif args.report_type == 'wss':
+ wss.main(args)
+ elif args.report_type == 'nr_regions':
+ nr_regions.main(args)
+
+if __name__ == '__main__':
+ main()
diff --git a/tools/damon/wss.py b/tools/damon/wss.py
new file mode 100644
index 000000000000..fd5a0320070d
--- /dev/null
+++ b/tools/damon/wss.py
@@ -0,0 +1,94 @@
+#!/usr/bin/env python3
+# SPDX-License-Identifier: GPL-2.0
+
+"Print out the distribution of the working set sizes of the given trace"
+
+import argparse
+import struct
+import sys
+import tempfile
+
+import _dist
+
+def set_argparser(parser):
+ parser.add_argument('--input', '-i', type=str, metavar='<file>',
+ default='damon.data', help='input file name')
+ parser.add_argument('--range', '-r', type=int, nargs=3,
+ metavar=('<start>', '<stop>', '<step>'),
+ help='range of wss percentiles to print')
+ parser.add_argument('--sortby', '-s', choices=['time', 'size'],
+ help='the metric to be used for the sort of the working set sizes')
+ parser.add_argument('--plot', '-p', type=str, metavar='<file>',
+ help='plot the distribution to an image file')
+
+def main(args=None):
+ if not args:
+ parser = argparse.ArgumentParser()
+ set_argparser(parser)
+ args = parser.parse_args()
+
+ percentiles = [0, 25, 50, 75, 100]
+
+ file_path = args.input
+ if args.range:
+ percentiles = range(args.range[0], args.range[1], args.range[2])
+ wss_sort = True
+ if args.sortby == 'time':
+ wss_sort = False
+
+ pid_pattern_map = {}
+ with open(file_path, 'rb') as f:
+ start_time = None
+ while True:
+ timebin = f.read(16)
+ if len(timebin) != 16:
+ break
+ nr_tasks = struct.unpack('I', f.read(4))[0]
+ for t in range(nr_tasks):
+ pid = struct.unpack('L', f.read(8))[0]
+ if not pid in pid_pattern_map:
+ pid_pattern_map[pid] = []
+ pid_pattern_map[pid].append(_dist.access_patterns(f))
+
+ orig_stdout = sys.stdout
+ if args.plot:
+ tmp_path = tempfile.mkstemp()[1]
+ tmp_file = open(tmp_path, 'w')
+ sys.stdout = tmp_file
+
+ print('# <percentile> <wss>')
+ for pid in pid_pattern_map.keys():
+ # Skip first 20 snapshots as regions may not adjusted yet.
+ snapshots = pid_pattern_map[pid][20:]
+ wss_dist = []
+ for snapshot in snapshots:
+ wss = 0
+ for p in snapshot:
+ # Ignore regions not accessed
+ if p[1] <= 0:
+ continue
+ wss += p[0]
+ wss_dist.append(wss)
+ if wss_sort:
+ wss_dist.sort(reverse=False)
+
+ print('# pid\t%s' % pid)
+ print('# avr:\t%d' % (sum(wss_dist) / len(wss_dist)))
+ for percentile in percentiles:
+ thres_idx = int(percentile / 100.0 * len(wss_dist))
+ if thres_idx == len(wss_dist):
+ thres_idx -= 1
+ threshold = wss_dist[thres_idx]
+ print('%d\t%d' % (percentile, wss_dist[thres_idx]))
+
+ if args.plot:
+ sys.stdout = orig_stdout
+ tmp_file.flush()
+ tmp_file.close()
+ xlabel = 'runtime (percent)'
+ if wss_sort:
+ xlabel = 'percentile'
+ _dist.plot_dist(tmp_path, args.plot, xlabel)
+
+if __name__ == '__main__':
+ main()
--
2.17.1