MySQL Data Ingestion and Dump Script

Overview

This script automates the process of loading data from a CSV file into a MySQL database and dumping the database into an SQL file for backup or migration. It uses Pandas for data manipulation and SQLAlchemy to interface with MySQL.

Features

• Connects to a MySQL database.
• Automatically creates a database if it doesn't exist.
• Loads data from a CSV file into a specified table in the database.
• Exports the entire database to an SQL file with the necessary CREATE DATABASE and USE statements for easy restoration.

Requirements

• Python 3.x
• pandas
• mysql-connector-python
• SQLAlchemy

Installation

1. Install the required Python libraries using pip:

   pip install pandas sqlalchemy mysql-connector-python

2. Make sure MySQL is installed and accessible from your machine.

Usage

1. Edit the script and replace the placeholders (your_username, your_password, your_host, your_port, your_database, etc.) with your actual MySQL credentials and file paths.
2. Run the script to load data from a CSV file into your MySQL database:

   python your_script_name.py
   

3. The script will also create an SQL dump file, which can be used to restore the database later.

Output

1. The data from the CSV file will be written to a MySQL table.
2. The database will be dumped into an SQL file with the necessary CREATE DATABASE and USEstatements.

Example

CREATE DATABASE IF NOT EXISTS my_database;
USE my_database;