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Repository created to generate awareness of apache-logs-to-mysql & mysql-to-apache-echarts repositories in Search Engines

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Current purpose of this repository is to promote newly named apache-logs-to-mysql repository and in development mysql-to-apache-echarts repository on search engines by implementing Search Engine Optimization (SEO).

The 4 month old ApacheLogs2MySQL repository had barely been found in GitHub search regardless of Topics added to Repository.

No search engines outside of GitHub had yet to list the ApacheLogs2MySQL repository.

After researching the subject my deduction for poor search results is one or both of the following:

  • Repository name - Renamed from ApacheLogs2MySQL to apache-logs-to-mysql on 1/9/2025.

or

  • SQL - A large majority of repository codebase is SQL language.

GitHub does not recognize SQL as a language and requires adding code to .gitattributes for SQL to appear on repository.

*.sql linguist-detectable=true
*.sql linguist-language=sql

Apache Log Parser and Data Normalization Application

ApacheLogs2MySQL consists of two Python Modules & one MySQL Schema that parse and import Access & Error log files and normalizes data into database designed for reports & data analysis.

This application automates consolidation of log files from multiple Servers and unlimited Domains with audit trail & error logging.

Python handles File Processing & MySQL handles Data Processing

Apache Log Management and Visualization Application

MySQL2ApacheECharts is a Web interface that consists of Express.js web application frameworks with Drill Down Capability & Apache ECharts frameworks for Log Data Visualization in charts, reports & data analysis interfaces of MySQL Schema apache_logs created by ApacheLogs2MySQL.

Express handles Data Querying & ECharts handles Data Visualization of MySQL Schema

Hopefully repository rename and creating this repository, website and images 👇 improves apache-logs-to-mysql repository visibility and mysql-to-apache-echarts repository awareness.

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Repository created to generate awareness of apache-logs-to-mysql & mysql-to-apache-echarts repositories in Search Engines

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