Database Migration Automation: SQL Server to PostgreSQL

This repository contains a robust Database Migration Automation system built using C# and .NET. The project is designed to migrate over 1 million records from SQL Server to PostgreSQL with unparalleled efficiency, leveraging Docker containers, multi-threading, and automation tools like Hangfire.

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Key Features

1. Multi-threaded Automation

• Simultaneous fetching and pushing of records.
• Completes migration of over 1 million records within a minute.
• Ensures high efficiency and rapid execution.

2. Zero Downtime During Migration

• The migration process is designed to handle record requests simultaneously.
• Ensures uninterrupted access to records even during migration.

3. Hangfire Dashboard Integration

• Real-time monitoring of the migration pipeline.
• Provides detailed insights into task statuses and logs.

4. Backup and Rollback Automation with AWS EC2

• Automatic periodic backups using a multi-threaded approach.
• Triggers backups after every significant database update.
• Facilitates rollback to previous versions for enhanced reliability.

5. Advanced PostgreSQL Features

• Cross-platform compatibility (Windows, macOS, Linux).
• Extensibility with custom types and plugins.
• Superior performance for complex queries and large datasets.

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System Architecture

Components

1. Dockerized Environments

   • SQL Server: Containerized instance hosting the source database.
   • PostgreSQL: Containerized instance as the target database.

2. Migration Pipeline

   • Written in C# and .NET.
   • Implements automation for data migration.

3. Monitoring

   • Hangfire dashboard for tracking migration and backup processes.

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Advantages of PostgreSQL over SQL Server

Feature	PostgreSQL	SQL Server
Developer	Open-source, community-maintained	Microsoft Corporation
License	Free and open-source	Proprietary
Platform	Cross-platform	Windows/Linux
Advanced Features	JSON, arrays, full-text search	Business application-oriented
Performance	Optimized for complex queries	High-throughput transactions
Extensibility	Highly extensible	Less extensible
Popularity	Preferred by developers/startups	Corporate environments

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How It Works

Step 1: Setup Docker Containers

1. Pull the required Docker images for SQL Server and PostgreSQL.
2. Configure the containers with sample databases.

Step 2: Configure the Migration Pipeline

• Update the connection strings for SQL Server and PostgreSQL in the pipeline.
• Specify additional settings such as backup intervals and rollback policies.

Step 3: Execute the Migration

• Launch the migration via Hangfire.
• Monitor progress through the dashboard.

Step 4: Automatic Backups

• Use AWS EC2 for storing incremental backups.
• Automatically trigger backups after significant updates.

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Installation Guide

1. Clone the repository:

   git clone https://github.com/yourusername/database-migration-automation.git

2. Build and run Docker containers:

   docker-compose up -d

3. Configure the connection settings in appsettings.json.

4. Run the migration pipeline:

   dotnet run

5. Access the Hangfire dashboard at http://localhost:5000/hangfire.

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Monitoring and Logging

• Hangfire Dashboard: Provides a visual representation of all tasks.
• Logs: Captures detailed execution logs for debugging and auditing purposes.

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Contributing

Contributions are welcome! If you'd like to contribute:

1. Fork the repository.
2. Create a feature branch.
3. Submit a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Contact

For any queries, feel free to reach out:

• Email: pvbcod@gmail.com
• GitHub: PVBGEEK

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Thank you for exploring the Database Migration Automation project!