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A Powerful Database Migration Tool To Transfer Data.

Project description

🚀 Py-Auto-Migrate

The Universal Database Migration Tool
Seamlessly transfer data between any database.

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Why Py-Auto-Migrate?

Migrating data between different database systems is often a tedious and error-prone task. Py-Auto-Migrate is here to change that. It's a powerful, flexible, and easy-to-use Python tool that automates the entire process.

  • Universal Connector: Supports a vast range of databases, from SQL to NoSQL.
  • Zero Configuration: Point to your source and target, and let the tool handle schema detection, data type mapping, and destination creation.
  • Blazing Fast: Optimized for performance, even with large datasets.
  • Safe & Reliable: Built-in checks ensure data integrity throughout the migration.

Installation

Get started in seconds with pip.

pip install py-auto-migrate

Prefer a Standalone Shell?

Don't have Python? No problem! Download the dedicated PAM-Shell for your OS from the Releases page. It's a ready-to-run executable with the same powerful features.


Quick Start

Using Py-Auto-Migrate is as simple as running one command.

Basic Command Structure

py-auto-migrate migrate --source <SOURCE_URI> --target <TARGET_URI>
Argument Description
--source Required. Connection URI for the source database.
--target Required. Connection URI for the target database.
--table Optional. Migrate a specific table. If omitted, all data is migrated.
--ai-ask Optional. Natural language query for AI-powered.
--ai-model Optional. OpenAI model (default: gpt-3.5-turbo).

Real-World Examples

1. Migrate an entire database from MongoDB to MySQL:

py-auto-migrate migrate \
  --source "mongodb://user:pass@localhost:27017/source_db" \
  --target "mysql://user:pass@localhost:3306/target_db"

2. Migrate a single PostgreSQL table to a new MongoDB collection:

py-auto-migrate migrate \
  --source "postgresql://user:pass@localhost:5432/mydb" \
  --target "mongodb://user:pass@localhost:27017/mydb" \ --table users

The Magic: If the target database or table doesn't exist, Py-Auto-Migrate automatically creates it for you! It intelligently maps source data types to the appropriate target schema.

3. Query using AI (Target must be a relational database):

export OPENAI_API_KEY="your-api-key"

Before using AI, make sure the OPENAI_API_KEY has been exported.

py-auto-migrate migrate \
  --source "oracle://user:password@host:port/service_name" \
  --target "mssql://user:password@host:port/database" \ 
  --ai-ask "Please select and insert only names that start with 'S', then sort them." /
  --ai-model "gpt-3.5-turbo"

Dashboard

For an even easier and more visual migration experience, Py-Auto-Migrate includes a dedicated web dashboard.

Usage:

py-auto-migrate dashboard

Default Dashboard URL:

http://localhost:8123

or :

py-auto-migrate dashboard --host "localhost" --port 8000

Features:

  • Visual Interface – No need to memorize commands or URIs
  • Connection Builder – Easily build source/target URIs with form inputs
  • Table Selection – Choose specific tables or migrate all with checkboxes
  • Real-time Logs – Watch migration progress and errors live
  • AI Query UI – Use natural language queries with a simple text box
  • Job Management – Run, monitor, and manage multiple migration jobs
  • One-Click Migrate – Start migrations with a single button click

Supported Databases

We support a wide and growing range of databases.

Category Databases
Relational MySQL PostgreSQL Oracle SQL Server MariaDB SQLite
NoSQL MongoDB Redis DynamoDB Elasticsearch
Analysis ClickHouse

Have a feature request? Open an issue and let us know!

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