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Asked: 2026-06-17T18:21:43+00:00

I have inherited a rather large code base that utilizes tornado to compute and

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I have inherited a rather large code base that utilizes tornado to compute and serve big and complex data-types (imagine a 1 MB XML file). Currently there are 8 instances of tornado running to compute and serve this data.

That was a wrong design-decision from the start and I am facing many many timeouts from applications that access the servers.

I’d like to change as few lines of code as possible in the legacy code base because I do not want to break anything that has already been tested in the field. What can I do to transform this system into a threaded one that can execute more xml-computation in parallel?

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1 Answer

  1. Editorial Team

    transform this system into a threaded one that can execute more xml-computation in parallel

    If there are enough Tornado instances to saturate the computational resources, moving to a threaded model will probably not gain much performance. Getting rid of blocking code however helps with connection timeouts.

    Another option is getting rid of all asynchronous code and using tornado.wsgi.WSGIApplication. That way, you can run the application on a threaded WSGI server. Features that are not available in WSGI mode are listed here.

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