Hello there,
I can develop a Python-based web application tailored to validate data integrity between SQL databases and Elasticsearch indices using Logstash pipeline configurations. Leveraging Flask or Django for a user-friendly interface, the application will allow users to upload Logstash .conf files, input connection details, and dynamically visualize SQL and Elasticsearch data comparisons, with clear highlights of mismatches.
Key Features:
Logstash Configuration Parsing: Extract SQL queries and Elasticsearch mappings from .conf files.
Dynamic Validation: Query both SQL and Elasticsearch to cross-check and highlight discrepancies.
Intuitive Web Interface: Upload files, view data fields, and easily identify mismatches.
Error Handling: Robust management of invalid configurations or connection issues.
Fully Dockerized Environment: A seamless setup using Docker Compose, including containers for SQL, Elasticsearch, Logstash, and the application.
Additionally, I will provide detailed documentation to guide you through setup, usage, and testing with your sample .conf file or other configurations.
Let me know if you have any specific preferences for the database type or Elasticsearch version to ensure compatibility.