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dailytools's Introduction

说明

平常用到的脚本

flamesvg.sh

性能分析脚本。根据需要生成火焰图或者以文本的方式统计函数 CPU 占比,主要使用的命令是 perf 命令。

  • 火焰图: 着眼于模块,从函数调用的角度分析 cpu 占比
  • 函数占用文本: 着眼于函数本身,聚合之后的整个函数占用 cpu 的百分比

help

[root@localhost smaug]# sh flamesvg.sh 
error param
Usage: ./flamesvg.sh [command]

    record       using 'perf record' to generate perf.data
    svg          after using [record] command, than using [svg] to generate flamegraph perf.svg
    txt          after using [record] command, than using [txt] to generate cpu-percentage of symbol(function) perf_symbol.data
    all_svg      equal to [record] + [svg] command
    all_txt      equal to [record] + [txt] command
 

record

使用 record 命令可以生成 perf.data 文件,抓取 cpu 信息作为原始数据。

使用方式:

sh flamesvg.sh record [record_time]

注意上面的 record_time 值不应该太大, 不然采集到的 perf.data 数据文件会比较大。一般推荐在 10 一下:

sh flamesvg.sh record 10

命令结束之后会生成一个 perf.data 文件,这是 cpu 的原始数据文件;

svg

基于 record 命令生成的 perf.data 进行分析,生成火焰图。

sh flamesvg.sh svg

命令结束后会生成 perf.svg 火焰图文件;

txt

基于 record 命令生成的 perf.data 进行分析,生成以文本方式展示的分析结果,着眼点在于 函数聚合之后的 cpu 占比;

sh flamesvg.sh txt

命令结束后会生成 perf_symbol.data 文件,可以打开查看消耗 cpu 的函数排序;

all_svg

等于 record 和 svg 两个命令;

sh flamesvg.sh all_svg 10

all_txt

等于 record 和 txt 两个命令:

sh flamesvg.sh all_txt

nat_birth_attach.py

生日攻击算法的实现和验证,为 p2p 打洞(对称性)提供理论基础(端口预测)。

p: 0.507297 > rate:0.5 k: 23 success
when total_samples is 365, if request for rate greater than 0.5, then try at least 23 times is ok

p: 0.500722 > rate:0.5 k: 302 success
when total_samples is 65536, if request for rate greater than 0.5, then try at least 302 times is ok

p: 0.701186 > rate:0.7 k: 398 success
when total_samples is 65536, if request for rate greater than 0.7, then try at least 398 times is ok

p: 0.801039 > rate:0.8 k: 460 success
when total_samples is 65536, if request for rate greater than 0.8, then try at least 460 times is ok

p: 0.900755 > rate:0.9 k: 550 success
when total_samples is 65536, if request for rate greater than 0.9, then try at least 550 times is ok

p: 0.990025 > rate:0.99 k: 770 success
when total_samples is 64512, if request for rate greater than 0.99, then try at least 770 times is ok

打开文件直接修改 total_samples 和 rate 值就可以验证在总样本量为 total_samples 的场景下,当需要满足至少两个样本一样的概率大于等于rate值需要的尝试次数 。

iftop_remote_ip.py

调用 iftop 命令从 remote_ip 维度统计发送接收流量,脚本中限定了只统计本地 80 和 443 端口,实际场景下可以修改成其他过滤条件或者去掉。

remote_ip:124.160.217.1 send:1450 Kb/s recv:7 Kb/s
remote_ip:124.160.217.1 send:3160 Kb/s recv:20 Kb/s
remote_ip:124.160.217.1 send:2407 Kb/s recv:26 Kb/s
remote_ip:124.160.217.1 send:2696 Kb/s recv:25 Kb/s
remote_ip:124.160.217.2 send:2729 Kb/s recv:25 Kb/s
remote_ip:124.160.217.3 send:2852 Kb/s recv:26 Kb/s
remote_ip:124.160.217.4 send:2650 Kb/s recv:23 Kb/s
remote_ip:124.160.217.1 send:2539 Kb/s recv:25 Kb/s
remote_ip:124.160.217.3 send:2362 Kb/s recv:24 Kb/s
remote_ip:124.160.217.2 send:2741 Kb/s recv:24 Kb/s
remote_ip:124.160.217.4 send:2667 Kb/s recv:23 Kb/s
remote_ip:124.160.217.2 send:2679 Kb/s recv:21 Kb/s
remote_ip:124.160.217.1 send:2540 Kb/s recv:28 Kb/s

mykill

简单封装了下 kill 命令,本质上是 killall 命令的实现,只不过更加友好一点。

smaug@smaug-VirtualBox:~$ mykill  -h
error param
grep all program name  and kill all
Usage: mykill [program_name] [yes/no]

filscan.py

爬取 https://filscan.io/#/tipset/address-detail?address=f02301 网站的数据

From,Receipt,MessageID,Value,Height,To,Time,Method
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacedwhwgnhzjsgljm5shbiq5ni7je562ho7uus6fjno4gjgzitsek6a,0.0351423918839 FIL,147292,f02301,2020-10-15 09:26:00,ProveCommitSector
f3tckh5m4xq6rttaosbzh2xjk4wbwzzxjft4srbqup64tmywhofhfug55yuvybhtw7mjcxzztwook2xkuzkggq,OK,bafy2bzaceb5vuuafr4kxslnym5bymjujdh5ophpr6mxqlazldhyva75bgpine,0.0 FIL,147289,f02301,2020-10-15 09:24:30,DeclareFaultsRecovered
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacedxubn3patupbnvwiaon7nq6d7psiv2rgeqamm2roxd5kwg7i7gtk,0.0351766999492 FIL,147289,f02301,2020-10-15 09:24:30,ProveCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacebmhkr6h5utipjqtf6bt2bbuer2l7z4ky7onlpma2cr22giyk565a,0.0351584198055 FIL,147289,f02301,2020-10-15 09:24:30,ProveCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzaceasyr2bt3tynwufadzxvhryybly4vfwa4psjw7j6rg66o2l66fedy,0.168976637674 FIL,147288,f02301,2020-10-15 09:24:00,PreCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacedceqm2isw7rsuiroe4sninkql4msibjn4jt2spnyjelcoft7qc7s,0.168990631288 FIL,147287,f02301,2020-10-15 09:23:30,PreCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzaceboueg6uvwhi7nthrtlrs7hc6doiycurhqbywzktmmoera4uqgfis,0.0352552658287 FIL,147286,f02301,2020-10-15 09:23:00,ProveCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacectjyk77l3t5tuoxkotjzo33sobp6mrdtbwousfl7tj5scj2rtp32,0.169004548953 FIL,147286,f02301,2020-10-15 09:23:00,PreCommitSector
f3qhvpg5byv25lcdch2z62ml7jp3rxnpt5ogg5jtokjwv7q6sqwzd2e4qw2sqh5kvh7nitnejhao6bc5xnqdna,OK,bafy2bzacecb7okvcovy42hqxr5jyfw2dlnftom4zan6tvasmer2efvnzoq774,0.0352578666153 FIL,147284,f02301,2020-10-15 09:22:00,ProveCommitSector

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