comphead commented on issue #14389: URL: https://github.com/apache/datafusion/issues/14389#issuecomment-2627842907
# Query Engine     ## 🚀 Introduction Query Engine is a powerful and efficient engine for querying structured and unstructured data. It provides a fast and flexible way to analyze data across multiple sources. ## ✨ Features - 🔍 **Fast Query Execution** – Optimized for speed and efficiency. - 📡 **Multi-Source Support** – Works with databases, APIs, and file storage. - ⚡ **Flexible Query Language** – SQL-like syntax with additional capabilities. - 🚀 **Scalable** – Works on small and large datasets seamlessly. ## 📌 Use Cases ✔ **Data Analytics** – Run complex queries on large datasets. ✔ **ETL Pipelines** – Extract, transform, and load data efficiently. ✔ **Log Analysis** – Parse logs for insights in real time. ## 🏗️ Quickstart Guide Install Query Engine via pip: ```sh pip install query-engine ``` Run the help command to get started: ```sh query-engine --help ``` ## 💡 Example Queries SQL Query: ```sql SELECT name, age FROM users WHERE age > 25 ORDER BY age DESC; ``` Python Usage: ```python from query_engine import QueryEngine engine = QueryEngine(data_source="database_url") results = engine.run("SELECT * FROM logs WHERE error = 'critical'") ``` ## 🔧 Installation & Setup For a local setup, clone the repository and install dependencies: ```sh git clone https://github.com/your-repo/query-engine.git cd query-engine pip install -r requirements.txt ``` ## 🤝 Contributing We welcome contributions! To get started: - Open issues for bugs and features. - Follow the contribution guide (`CONTRIBUTING.md`). - Use the `dev` branch for feature work. ## 🛣️ Roadmap - [ ] Support for NoSQL databases - [ ] Web UI for query visualization - [ ] Performance benchmarking tools ## 📢 Community & Support - Join our **Discord/Slack** community. - Report issues via GitHub Issues. - Follow updates on Twitter/GitHub Discussions. ## 📜 License This project is licensed under the MIT License - see the `LICENSE` file for details. ## 🙌 Acknowledgments Special thanks to all contributors and the open-source community for making this project possible. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
