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🚀 QueryOptimizer - Efficient Data Management for Everyone

📋 Table of Contents

• Overview
• Architecture
• Key Features
• Performance Metrics
• API Endpoints
• Setup & Installation
• Postman Collection
• Project Structure

Overview

QueryOptimizer is a Spring Boot application that addresses the challenge of efficiently managing and querying large datasets. With the capability to process over 1 billion records, it demonstrates effective techniques for memory management and optimizing performance.

Database Schema

The application employs a straightforward schema with a single table named value that includes:

• id (Long, PRIMARY KEY): This unique identifier allows for easy record access.

🏗️ Architecture

The application operates using a layered architecture. At the core, it utilizes the Spring Boot framework to ensure smooth deployment and management. The architecture consists of three main layers:

1. Presentation Layer: Handles user requests and displays results.
2. Service Layer: Contains the business logic, processing user inputs, and interacting with the data layer.
3. Data Layer: Manages the database interactions using JPA.

🔑 Key Features

• Batch Processing: Efficiently processes large amounts of data in chunks, improving performance and reducing memory load.
• Multi-Threading: Optimizes processing by using multiple threads, allowing faster query responses.
• Pagination: Handles large datasets with ease by retrieving data in manageable portions.
• Memory Management: Engages effective strategies to maintain low memory usage while processing large records.

📊 Performance Metrics

QueryOptimizer can efficiently handle processing of:

• 1 billion records in under a few minutes.
• Memory consumption of around 256 MB for processing large datasets.
• Query response time under 2 seconds for paginated results.

📡 API Endpoints

This application exposes several API endpoints for interacting with the dataset. Below are a few of the key endpoints:

• GET /api/values: Retrieves paginated records from the database.
• POST /api/values: Adds a new record to the dataset.
• DELETE /api/values/{id}: Removes a record by its unique ID.

📥 Setup & Installation

To get started with QueryOptimizer, follow these steps:

1. Visit the Releases Page: Click here to access the releases page.
2. Download the Latest Version: Choose the latest release version for your operating system and download the file.
3. Run the Application: Once downloaded, run the application by following these steps:
   • If you downloaded a .jar file, open a command line and run java -jar QueryOptimizer.jar.
   • If you are using another format, follow the specified instructions in the release notes.

After setup, the application will start, allowing you to use it for efficient data querying.

📑 Postman Collection

To help you get started with testing the API quickly, a Postman collection is included. This collection contains all the available API endpoints with sample requests and responses.

You can import this collection directly into Postman and start testing right away.

🗂️ Project Structure

The structure of the QueryOptimizer project is organized as follows:

QueryOptimizer
│
├── src
│   ├── main
│   │   ├── java
│   │   │   └── com
│   │   │       └── optimizer
│   │   │           ├── controller
│   │   │           ├── service
│   │   │           └── repository
│   │   └── resources
│   │       └── application.properties
│   └── test
│       └── java
├── pom.xml
└── README.md

This layout offers a clear separation of components, making it easy for you to navigate and understand the application.

For further details, feel free to explore other sections provided in this README. Enjoy using QueryOptimizer for your data management needs!