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README.md
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README.md
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Twister is a fast and light-weight micro-framework.
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Actually, a more precise definition of this code release would be;
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Twister is a set of fast and light-weight components around which a framework can be written
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> Twister is a set of fast and light-weight components around which a framework can be written
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At the heart of the framework, sits a very flexible, simple and elegant Inversion-of-Control (IoC) Container.
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In fact, there are NO global variables, NO define's, NO pipeline, NO Kernel and NO App; just the Container.
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So everytime you specify `{id}`, `{date}`, `{uuid}` etc. in the routes, the pre-configured patterns are used,
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or you can specify custom patterns with `{id:[0-9]+}` or `{id:uuid}` where `uuid`=>`[A-F0-9-]+` etc.
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Two design choices make the router fast:
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1) Everything is configured/loaded from a `config` array (which is usually cached by APC/Xcode/PHP7)
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2) The router splits the request uri by '/', doing an `isset` array lookup for the first path segment
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3) The router only takes further action after the first segment (eg. /admin/, /login etc.) is resolved
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* Everything is configured/loaded from a `config` array (which is usually cached by APC/Xcode/PHP7)
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* The router splits the request uri by '/', doing an `isset` array lookup for the first path segment
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* The router only takes further action after the first segment (eg. /admin/, /login etc.) is resolved
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Although Twister is a fully functional and useable framework (based on my personal framework),
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it's more a proof-of-concept for me to demonstrate my capabilities and design decisions.
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Benchmarks:
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## Benchmarks:
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All tests were done with a skeleton `hello world` application on the same PC.
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Laravel and Symfony were NOT configured to establish a database connection, while Twister WAS!
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With a database connection, Symfony dropped to 9-12 requests per second, and Laravel 12-16 rps,
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Twister was running about 50x-100x faster than Symfony and Laravel
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```
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ab -t 30 http://laravel/
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Complete requests: 198
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memory_get_usage(true): 2,097,152
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memory_get_peak_usage(): 1,049,528
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memory_get_peak_usage(true): 2,097,152
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```
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