Please also note that Flask, by default, is a single-threaded web framework. While it is suitable for development and small-scale applications, it may not handle concurrent requests efficiently in a production environment. In production, one can utilise Gunicorn (Green Unicorn) which is a WSGI ( Web Server Gateway Interface) that is commonly used to serve Flask applications in production. It provides multiple worker processes, each capable of handling a single request at a time. This makes Gunicorn suitable for handling multiple simultaneous requests and improves the concurrency and performance of your Flask application.
HTH Mich Talebzadeh, Dad | Technologist | Solutions Architect | Engineer London United Kingdom view my Linkedin profile <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> https://en.everybodywiki.com/Mich_Talebzadeh *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On Mon, 8 Jan 2024 at 19:30, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > Thought it might be useful to share my idea with fellow forum members. During > the breaks, I worked on the *seamless integration of Spark Structured > Streaming with Flask REST API for real-time data ingestion and analytics*. > The use case revolves around a scenario where data is generated through > REST API requests in real time. The Flask REST AP > <https://en.wikipedia.org/wiki/Flask_(web_framework)>I efficiently > captures and processes this data, saving it to a Spark Structured Streaming > DataFrame. Subsequently, the processed data could be channelled into any > sink of your choice including Kafka pipeline, showing a robust end-to-end > solution for dynamic and responsive data streaming. I will delve into the > architecture, implementation, and benefits of this combination, enabling > one to build an agile and efficient real-time data application. I will put > the code in GitHub for everyone's benefit. Hopefully your comments will > help me to improve it. > > Cheers > > Mich Talebzadeh, > Dad | Technologist | Solutions Architect | Engineer > London > United Kingdom > > > view my Linkedin profile > <https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/> > > > https://en.everybodywiki.com/Mich_Talebzadeh > > > > *Disclaimer:* Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > > >
