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# Apache Log Parser and Data Normalization Application
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### Python handles File Processing & MySQL handles Data Processing
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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.
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ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema ***apache_logs*** to automate importing Access & Error files and normalizing data into database designed for reports & data analysis.
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Runs on Windows, Linux and MacOS & tested with MySQL versions 8.0.39, 8.4.3, 9.0.0 & 9.1.0.
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4 LogFormats & 2 ErrorLogFormats can be loaded and 5 MySQL Stored Procedures can be processed in a single Python `ProcessLogs function` execution.
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[MySQL2ApacheECharts](https://github.com/willthefarmer/mysql-to-apache-echarts) consists of Express.js web application frameworks with Drill Down Capability & Apache ECharts framework
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for rapid construction of Data Visualization for reports & data analysis from MySQL Schema ***apache_logs*** created by this application.
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Database Schema ***apache_logs*** designed to accommodate unlimited servers & domains. Step-by-step guide for easy installation :point_down:
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Database Schema designed to accommodate unlimited servers & domains. Step-by-step guide for easy installation :point_down:
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The accompanying visualization tool for the MySQL Schema ***apache_logs*** is [MySQL2ApacheECharts](https://github.com/willthefarmer/mysql-to-apache-echarts) created is a separate repository.
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The Web interface consists of Express.js web application frameworks with Drill Down Capability & Apache ECharts framework for Data Visualization of charts and reports.
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## Entity Relationship Diagram of apache_logs schema tables
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![Entity Relationship Diagram](./assets/entity_relationship_diagram.png)
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Diagram created with open-source database diagrams editor [chartdb/chartdb](https://github.com/chartdb/chartdb)

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