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#!/usr/bin/env python
# @lint-avoid-python-3-compatibility-imports
#
# vfsstat Count some VFS calls.
# For Linux, uses BCC, eBPF. See .c file.
#
# Written as a basic example of counting multiple events as a stat tool.
#
# USAGE: vfsstat [interval [count]]
#
# Copyright (c) 2015 Brendan Gregg.
# Licensed under the Apache License, Version 2.0 (the "License")
#
# 14-Aug-2015 Brendan Gregg Created this.
from __future__ import print_function
from bcc import BPF
from ctypes import c_int
from time import sleep, strftime
from sys import argv
def usage():
print("USAGE: %s [interval [count]]" % argv[0])
exit()
# arguments
interval = 1
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(text="""
#include <uapi/linux/ptrace.h>
enum stat_types {
S_READ = 1,
S_WRITE,
S_FSYNC,
S_OPEN,
S_CREATE,
S_MAXSTAT
};
BPF_ARRAY(stats, u64, S_MAXSTAT);
static void stats_increment(int key) {
u64 *leaf = stats.lookup(&key);
if (leaf) (*leaf)++;
}
void do_read(struct pt_regs *ctx) { stats_increment(S_READ); }
void do_write(struct pt_regs *ctx) { stats_increment(S_WRITE); }
void do_fsync(struct pt_regs *ctx) { stats_increment(S_FSYNC); }
void do_open(struct pt_regs *ctx) { stats_increment(S_OPEN); }
void do_create(struct pt_regs *ctx) { stats_increment(S_CREATE); }
""")
b.attach_kprobe(event="vfs_read", fn_name="do_read")
b.attach_kprobe(event="vfs_write", fn_name="do_write")
b.attach_kprobe(event="vfs_fsync", fn_name="do_fsync")
b.attach_kprobe(event="vfs_open", fn_name="do_open")
b.attach_kprobe(event="vfs_create", fn_name="do_create")
# stat column labels and indexes
stat_types = {
"READ": 1,
"WRITE": 2,
"FSYNC": 3,
"OPEN": 4,
"CREATE": 5
}
# header
print("%-8s " % "TIME", end="")
for stype in stat_types.keys():
print(" %8s" % (stype + "/s"), end="")
idx = stat_types[stype]
print("")
# output
i = 0
while (1):
if count > 0:
i += 1
if i > count:
exit()
try:
sleep(interval)
except KeyboardInterrupt:
pass
exit()
print("%-8s: " % strftime("%H:%M:%S"), end="")
# print each statistic as a column
for stype in stat_types.keys():
idx = stat_types[stype]
try:
val = b["stats"][c_int(idx)].value / interval
print(" %8d" % val, end="")
except:
print(" %8d" % 0, end="")
b["stats"].clear()
print("")