blob: 6c61c22551eacd7fbb8226da2f6deba68c57cc9c [file] [log] [blame]
#!/usr/bin/python
#
# vfsreadlat.py VFS read latency distribution.
# For Linux, uses BCC, eBPF. See .c file.
#
# Written as a basic example of a function latency distribution histogram.
#
# USAGE: vfsreadlat.py [interval [count]]
#
# The default interval is 5 seconds. A Ctrl-C will print the partially
# gathered histogram then exit.
#
# Copyright (c) 2015 Brendan Gregg.
# Licensed under the Apache License, Version 2.0 (the "License")
#
# 15-Aug-2015 Brendan Gregg Created this.
from bpf import BPF
from ctypes import c_ushort, c_int, c_ulonglong
from time import sleep
from sys import argv
def usage():
print("USAGE: %s [interval [count]]" % argv[0])
exit()
# arguments
interval = 5
count = -1
if len(argv) > 1:
try:
interval = int(argv[1])
if interval == 0:
raise
if len(argv) > 2:
count = int(argv[2])
except: # also catches -h, --help
usage()
# load BPF program
b = BPF(src_file = "vfsreadlat.c")
b.attach_kprobe(event="vfs_read", fn_name="do_entry")
b.attach_kretprobe(event="vfs_read", fn_name="do_return")
dist_max = 64
# header
print("Tracing... Hit Ctrl-C to end.")
# functions
stars_max = 38
def stars(val, val_max, width):
i = 0
text = ""
while (1):
if (i > (width * val / val_max) - 1) or (i > width - 1):
break
text += "*"
i += 1
if val > val_max:
text = text[:-1] + "+"
return text
def print_log2_hist(dist, val_type):
idx_max = -1
val_max = 0
for i in range(1, dist_max + 1):
try:
val = dist[c_int(i)].value
if (val > 0):
idx_max = i
if (val > val_max):
val_max = val
except:
break
if idx_max > 0:
print(" %-15s : count distribution" % val_type);
for i in range(1, idx_max + 1):
low = (1 << i) >> 1
high = (1 << i) - 1
if (low == high):
low -= 1
try:
val = dist[c_int(i)].value
print("%8d -> %-8d : %-8d |%-*s|" % (low, high, val,
stars_max, stars(val, val_max, stars_max)))
except:
break
# output
loop = 0
do_exit = 0
while (1):
if count > 0:
loop += 1
if loop > count:
exit()
try:
sleep(interval)
except KeyboardInterrupt:
pass; do_exit = 1
print
print_log2_hist(b["dist"], "usecs")
b["dist"].clear()
if do_exit:
exit()