README_EN.md

🗃️ Batch Insertion in PostgreSQL with Multiprocessing

This project implements a batch insertion solution in PostgreSQL using Python with multiprocessing.Pool and ThreadPoolExecutor, providing support for parallel threads and processes. Ideal for handling large volumes of data, the project distributes the workload across multiple threads or processes, reducing insertion time and improving performance.

🚀 Overview

Handling large volumes of data can be challenging when insertions are performed sequentially. This project uses the concurrent.futures.ThreadPoolExecutor and multiprocessing.Pool modules to implement parallel or pseudo-parallel batch insertions in PostgreSQL.

🔧 Features

• 📑 PostgreSQL Connection: Simple and flexible configuration of connection parameters.
• ⚙️ Parallel Execution: Support for both processes and threads via multiprocessing.Pool and ThreadPoolExecutor.
• 📦 Batch Insertions: Divides data into batches to minimize the number of transactions and optimize performance.