python nginx log parser

number of requests for one minute is 0 o'clock, return 0defpush_falcon (Self,data,url): "" " Data push to Openfalcon "" "Host=self.hostname () Current_time=int (Time.time ()) payload= [{"endpoint": host, "metric": "nginx_request_percent", "timestamp": current_time, "step": NBSP;60, "value": data, "CounterType": "GAUGE", "tags": "nginx_request_percent=10ms",}]json_data= Json.dumps (payload) printjson_datares=requests.post ("Http://127.0.0.1:1988/v1/push", Data=json_data) defmain ():#

Below for everyone to share an example of Python+pandas analysis Nginx log, with a good reference value, I hope to be helpful to everyone. Come and see it together. Demand By analyzing the Nginx access log, we get the maximum response time, minimum, average and number of ac

One of the requirements of the project is to parse the Nginx log file. The simple arrangement is as follows: Log Rule description First of all to clarify their own nginx log format, where the default Nginx

Python analyzes apache and nginx log files and outputs the visitor ip list, This example describes how to analyze apache and nginx log files in python and output the visitor ip list. Share it with you for your reference. The deta

#!/usr/bin/envpthon#_*_coding=utf-8_*_#python version (Nginx log cut script) importosimportdatetime# Access.log path accesslogs_path= "/usr/local/nginx/logs/" #昨天的日期lastDate =datetime.date.today () -datetime.timedelta (Days=1) #备份路径bak_path = "%s%s/%s/" % (Accesslogs_path, Lastdate.strftime ('%Y '), Lastdate.strftime (

Professional statistics website, such as Baidu Statistics, Google ANALYTICS,CNZZ and other statistical background to provide the webmaster commonly used statistical indicators, such as UV,PV, online time, IP, etc., in addition, because of network reasons, I found that Google Analytics will be more than Baidu statistics more than hundreds of of the IP, so want to write their own feet to understand the actual number of visits, but the access log based o

This article describes a Python implementation method for analyzing Apache and nginx log files and the list of guest IPs. Share to everyone for your reference. Specific as follows: This uses Python to parse Apache and nginx log

The log logs are formatted as follows113.221.56.131-[05/feb/2015:18:31:19 +0800] "ab.baidu.com get/media/game/a_.jpg http/1.1" 169334. ybgj01.com/"" mozilla/4.0 (compatible;MSIE 6.0;Windows NT 5.1;SV1; Qqwubi 133) "" 113.120.80.216, 113.21.213.35-[05/feb/2015:18:33:22 +0800] "Ab.baidu.net get/media/game/a_.jpg http/1.1"169334" http://a155622.ybgj7.net/"" mozilla/5.0 (Linux;UAndroid 4.1.2;ZH-CN; gt-p3100 build/jzo54k) applewebkit/533.1 (khtml, like Gec

This article describes the Python implementation of the analysis of Apache and Nginx log files and the way to the IP list of visitors. Share to everyone for your reference. Specifically as follows: Here use Python to parse Apache and nginx

Preface: Python statistics Apache, nginx access log IP access number and sort (show Top 20). In fact, with Awk+sort and other commands can be implemented, with the awk array can also be implemented, here is just a python try.Apache Script:IPS = {}with open ("/root/mail_access_log-20180629") as Fh:for line in Fh:ip = Li

Because previously did not do the Nginx log segmentation, sometimes want to read the log always found that there are more than 10 g or even hundreds of g of log files, so you want to use Python to write an nginx

Found that there is a large number of IP to our API collection, so write this script to get which IP only access to a single interface, but not access to other interfaces, generally such behavior, is abnormal.The log format of the front-end load Nginx is analyzed as follows: 114.249.4.96--[15/jan/2016:23:59:47 +0800] "post/api2/realtimetrack/http/1.1" 200 48 "-" "-" "-"222.128.172.215--[15/jan/2016:23:59:4

Label:execstripstatusimaref cursorllbcharsetble #!/usr/bin/env python# coding:utf-8# auther:liangkai# date:2018/6/26 11:26# License: (C) Copyright 2013-2017, Node Supply Chain Manager Corporation limited.# describe:import pymysqlimport reimport datetime# DB variablesdbhost = "192.168.189.18 5 "Dbport = 3306dbuser = ' root ' Dbpassword = ' 123456 ' charset = ' UTF8 ' # connection database conn_db = Pymysql.connect (host=dbhost,port=dbpo Rt,user=dbuser,

previous article)Python parsing nginx log ip (source)Use intest;show tables; CREATE TABLE ' loginfo ' (' IP ' text default null, ' URL ' longtext default null, ' status ' varchar ($) default NULL, ' Cou Nt_num ' varchar ($) DEFAULT NULL);The results seen in the database after the script execution are as follows:Mysql>select*fromloginfowherecount_num>3limit5 ;+--

Tags: creating databases utf-8requestdbusmys file execution sys.argvcreate #!/usr/bin/env python # coding:utf-8 # auther:liangkai # date:2018/6/26 11:26 # License: (C) Copyright 2013-2018, Node Su pply Chain Manager Corporation Limited. # describe:import Pymysql import re import datetime import sys import time # DB variables dbhost = "192.168.189.185" Dbpo RT = 3306 Dbuser = ' root ' Dbpassword = ' ******** ' charset = ' utf8 ' log_file = sys.argv[1]

dictionary def Extract (line): pattern = ' ' (? POutput Result:{' request ': {' method ': ' GET ', ' protocol ': ' http/1.1 ', ' url ': '/o2o/media.html?menu=3 '}, ' remote_addr ': ' 183.60.212.153 ', ' datetime ': Datetime.datetime (2, 0, Max, Max, Max, Tzinfo=datetime.timezone (Datetime.timedelta), ' size ' ': 16691, ' status ': $, ' user_agent ': ' mozilla/5.0 (compatible; Easouspider; +http://www.easou.com/search/spider.html) '}　　ThreeRequest and DateTime processing functions are shortened

,SUBTR,CHK,SALT,RPTTIME,CIP))ExceptContinueFor k in Keyvalue.keys ():if (kTry#print "INSERT into values_detail_%s_%s (UUID, Rpttime, Ritem, RVALUE) VALUES ('%s ', '%s ', '%s ', '%s ')"% (Tr,subtr,uuid, RPTTIME,K,KEYVALUE[K])Cursor.execute ("INSERT into value_detail_%s_%s (UUID, Rpttime, Ritem, RVALUE) VALUES ('%s ', '%s ', '%s ', '%s ')"% (TR,SUBTR, UUID,RPTTIME,K,KEYVALUE[K]))ExceptContinueThis processing efficiency is not high, can beif (rpttime_elements[1]== ' Jan '):Month= ' 01 'Elif (rpttim

Tags: nginx access python statistics trafficThe boss has a request, said to see a URL daily visits, but the system in the development of the time did not do such a count, so I think, because the previous load using Nginx do, have access logs, try to analyze the results from the access log, the final effect is realized,

Use Hive's regular parser RegexSerDe to analyze Nginx logs Use Hive's regular parser RegexSerDe to analyze Nginx logs 1. Environment: Hadoop-2.6.0 apache-hive-1.2.0-bin 2. Use Hive to analyze nginx logs. The website access logs are as follows: Cat/home/hadoop/hivetestd

Use Hive's regular parser RegexSerDe to analyze nginx logs 1. Environment: Hadoop-2.6.0 apache-hive-1.2.0-bin 2. Use Hive to analyze nginx logs. The website access logs are as follows: Cat/home/hadoop/hivetestdata/nginx.txt 192.168.1.128--[09/Jan/2015: 12: 38: 08 + 0800] "GET/avatar/helloworld.png HTTP/1.1" 200 1521 "http://write.blog.csdn.net/postlist" "Mozilla