apache-logs-to-mysql download

Apache Log Parser and Data Normalization Application

Python handles File Processing & MySQL handles Data Processing

ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema to automate importing Access & Error files and normalizing data into database designed for reports & data analysis.

Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0.

4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution.

Database system designed to accommodate unlimited domains. Step-by-step guide for easy installation.

Web interface with Drill Down Capability and apache/echarts Log Visualization integration in development.

MySQL apache_logs schema currently has 49 Tables, 853 Columns, 168 Indexes, 66 Views, 7 Stored Procedures and 43 Functions to process Apache Access log in 4 formats & Apache Error log in 2 formats. Database normalization at work!

Features

Creates MySQL schema - apache_logs
Includes 2 Python modules
Imports Apache Access Logs - common, combined and vhost_combined
Imports Apache Error Logs
Complete Apache Log Data Normalization
MySQL does all Data Manipulation & Processing
Python handles polling of log file folders
Python executes MySQL Database LOAD DATA statements
Python executes Stored Procedures & Functions and SQL Statements
Requires installation of 4 Python modules - requirements.txt included

Project Samples

MySQL View - apache_logs.access_ua_browser_list - data from LogFormat: combined & extended

MySQL View - apache_logs.access_requri_list - data from LogFormat: combined & extended

MySQL View - apache_logs.error_apachemessage_list

Stored Procedures & Functions in apache_logs Schema

Project Activity

See All Activity >

License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Intended Audience

Developers, Information Technology, Management, System Administrators

User Interface

Command-line, Console/Terminal

Programming Language

Python

Database Environment

Python Database API, SQL-based

Related Categories

Python Log Analysis Software, Python Log Management Tool, Python Log Parsers

Registered

2024-11-19

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