python脚本
log_format main ‘$remote_addr – $remote_user [$time_iso8601] “$request” ‘
‘$status $body_bytes_sent “$http_referer” ‘
‘”$http_user_agent” “$http_x_forwarded_for” ‘
‘ “$upstream_addr” “$upstream_status” “$request_time"`;
cat website.access.log| awk ‘{print $(NF)}’ | awk -F “\”” ‘{print $2′}>a.txt
paste -d ” ” website.access.log a.txt > b.txt
cat b.txt |awk ‘($NF>1){print $6$7 ” ” $NF}’>c.txt
linux下使用awk,wc,sort,uniq,grep对nginx日志进行分析和统计
b). 字段含义(如下说明)
column1:ip_address
column2:log_time
column3:request
column4:status_code
column5:send_bytes
column6:referer
需求一:统计总记录数,总成功数,各种失败数:404,403,500
cat data.log|awk -F '\t' '{if($4 > 0) print $4}'|wc -l|
awk '{print "Total Items:"$1}'
2. 提取成功、各种失败总数
cat data.log|awk -F '\t' '{if($4>0 && $4==200) print $4}'|wc -l
需求二:各种错误中,哪类URL出现的次数最多,要求剔除重复项,并倒叙给出结果
cat data.log|awk -F '\t' '{if($4>0 && $4==500) print $3}'|awk '{print $2}'|sort|uniq -c|sort -k1 nr
需求三:要统计URL中文件名出现的次数,结果中要包含Code 和 Referer。但是 URL和 Referer中都包含 / 字符,对于过滤有干扰,尝试去解决。
cat data.log|awk '{print $5,$7,$9}'|grep 200|
sed 's#.*/\(.*\)#\1#'|sort -k1|uniq -c
wc -l access.log |awk '{print $1}' 总请求数
awk '{print $1}' access.log|sort |uniq |wc -l 独立IP数
awk -F'[ []' '{print $5}' access.log|sort|uniq -c|sort -rn|head -5 每秒客户端请求数 TOP5
awk '{print $1}' access.log|sort |uniq -c | sort -rn |head -5 访问最频繁IP Top5
awk '{print $7}' access.log|sort |uniq -c | sort -rn |head -5 访问最频繁的URL TOP5
awk '{if ($12 > 10){print $7}}' access.log|sort|uniq -c|sort -rn |head -5
响应大于10秒的URL TOP5
awk '{if ($13 != 200){print $13}}' access.log|sort|uniq -c|sort -rn|head -5
分析请求数大于50000的源IP的行为
awk '{print $1}' access.log|sort |uniq -c |sort -rn|awk '{if ($1 > 50000){print $2}}' > tmp.txt
for i in $(cat tmp.txt)
do
echo $i >> analysis.txt
echo "访问行为统计" >> analysis.txt
grep $i access.log|awk '{print $6}' |sort |uniq -c | sort -rn |head -5 >> analysis.txt
echo "访问接口统计" >> analysis.txt
grep $i access.log|awk '{print $7}' |sort |uniq -c | sort -rn |head -5 >> analysis.txt
echo -e "\n" >> /root/analysis/$Ydate.txt
done
如果源IP来自代理服务器,应将第一条命令过滤地址改为$http_x_forwarded_for地址
awk '{print $NF}' access.log|sort |uniq -c |sort -rn|awk '{if ($1 > 50000){print $2}}' > tmp.txt
5.性能指标
并发连接数
客户端向服务器发起请求,并建立了TCP连接。每秒钟服务器链接的总TCP数量,就是并发连接数
PV(page view) UV(unique visitor) 独立IP
6.故障
1.Nginx Connection 不夠用 的參數調整
2.nginx+php-fpm出现502
3.线上nginx的一次“no live upstreams while connecting to upstream ”分析
4.nginx proxy_pass末端神奇的斜线
5.nginx+tomcat使用apache的FtpClient上传图片时由于多线程问题导致的文件大小为0的问题
案例一 ip - - [23/Mar/2017:00:17:49 +0800] "GET / HTTP/1.1" 302 0 "-" "PycURL/7.19.7" log_format access '$HTTP_X_REAL_IP - $remote_user [$time_local] "$request"' '$status $body_bytes_sent "$http_referer" ' '"$http_user_agent" $HTTP_X_Forwarded_For'; 192.168.21.1 - - [27/Jan/2014:11:28:53 +0800] "GET /2.php HTTP/1.1" 200 133 "-" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1707.0 Safari/537.36" "-"192.168.21.128 200 127.0.0.1:9000 0.119 0.119 #log_format main '$remote_addr - $remote_user [$time_local] "$request" ' # '$status $body_bytes_sent "$http_referer" ' # '"$http_user_agent" "$http_x_forwarded_for"'; $http_host:用户在浏览器中输入的URL(IP或着域名)地址 192.168.21.128 $upstream_status: upstream状态 200 $upstream_addr: 后端upstream地址及端口 127.0.0.1:9000 $request_time: 页面访问总时间 0.119 $upstream_response_time:页面访问中upstream响应时间 0.119 $10 $body_bytes_sent $1 $remote_addr $7 $request $11 $http_referer $9 $status $6 http_user_agent 1、总访问量 2、总带宽 3、独立访客量 4、访问IP统计 5、访问url统计 6、来源统计 7、404统计 8、搜索引擎访问统计(谷歌,百度) 9、搜索引擎来源统计(谷歌,百度) #!/bin/bash log_path=/home/www.centos.bz/log/access.log.1 domain="centos.bz" email="log@centos.bz" maketime=`date +%Y-%m-%d" "%H":"%M` logdate=`date -d "yesterday" +%Y-%m-%d` total_visit=`wc -l ${log_path} | awk '{print $1}'` total_bandwidth=`awk -v total=0 '{total+=$10}END{print total/1024/1024}' ${log_path}` total_unique=`awk '{ip[$1]++}END{print asort(ip)}' ${log_path}` ip_pv=`awk '{ip[$1]++}END{for (k in ip){print ip[k],k}}' ${log_path} | sort -rn | head -20` url_num=`awk '{url[$7]++}END{for (k in url){print url[k],k}}' ${log_path} | sort -rn | head -20` referer=`awk -v domain=$domain '$11 !~ /http:\/\/[^/]*'"$domain"'/{url[$11]++}END{for (k in url){print url[k],k}}' ${log_path} | sort -rn | head -20` notfound=`awk '$9 == 404 {url[$7]++}END{for (k in url){print url[k],k}}' ${log_path} | sort -rn | head -20` spider=`awk -F'"' '$6 ~ /Baiduspider/ {spider["baiduspider"]++} $6 ~ /Googlebot/ {spider["googlebot"]++}END{for (k in spider){print k,spider[k]}}' ${log_path}` search=`awk -F'"' '$4 ~ /http:\/\/www\.baidu\.com/ {search["baidu_search"]++} $4 ~ /http:\/\/www\.google\.com/ {search["google_search"]++}END{for (k in search){print k,search[k]}}' ${log_path}` #echo -e "概况\n报告生成时间:${maketime}\n总访问量:${total_visit}\n总带宽:${total_bandwidth}M\n独 立访客:${total_unique}\n\n访问IP统计\n${ip_pv}\n\n访问url统计\n${url_num}\n\n来源页面统计 \n${referer}\n\n404统计\n${notfound}\n\n蜘蛛统计\n${spider}\n\n搜索引擎来源统计 \n${search}" | mail -s "$domain $logdate log statistics" ${email}
案例二 # tar zxvf pymongo-1.11.tar.gz # cd pymongo-1.11 # python setup.py install python连接mongodb样例 $ cat conn_mongodb.py #!/usr/bin/python import pymongo import random conn = pymongo.Connection("127.0.0.1",27017) db = conn.tage #连接库 db.authenticate("tage","123") #用户认证 db.user.drop() #删除集合user db.user.save({'id':1,'name':'kaka','sex':'male'}) #插入一个数据 for id in range(2,10): name = random.choice(['steve','koby','owen','tody','rony']) sex = random.choice(['male','female']) db.user.insert({'id':id,'name':name,'sex':sex}) #通过循环插入一组数据 content = db.user.find() #打印所有数据 for i in content: print i 编写python脚本 #encoding=utf8 import re zuidaima_nginx_log_path="/usr/local/nginx/logs/www.zuidaima.com.access.log" pattern = re.compile(r'^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}') def stat_ip_views(log_path): ret={} f = open(log_path, "r") for line in f: match = pattern.match(line) if match: ip=match.group(0) if ip in ret: views=ret[ip] else: views=0 views=views+1 ret[ip]=views return ret def run(): ip_views=stat_ip_views(zuidaima_nginx_log_path) max_ip_view={} for ip in ip_views: views=ip_views[ip] if len(max_ip_view)==0: max_ip_view[ip]=views else: _ip=max_ip_view.keys()[0] _views=max_ip_view[_ip] if views>_views: max_ip_view[ip]=views max_ip_view.pop(_ip) print "ip:", ip, ",views:", views #总共有多少ip print "total:", len(ip_views) #最大访问的ip print "max_ip_view:", max_ip_view run()
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