October 2024
Intermediate to advanced
268 pages
6h 56m
Spanish
Content preview from Escalando Python con Ray
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Capítulo 3. Funciones remotas
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A menudo necesitas alguna forma de computación distribuida o paralela cuando construyes aplicaciones modernas a escala. La introducción de muchos desarrolladores de Python a la computación paralela es a través del módulo de multiprocesamiento. El multiprocesamiento está limitado en su capacidad para manejar los requisitos de las aplicaciones modernas. Estos requisitos incluyen los siguientes:
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Ejecutar el mismo código en varios núcleos o máquinas
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Utilizar utillaje para gestionar averías de máquinas y procesos
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Manejar eficientemente parámetros grandes
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Pasar fácilmente información entre procesos
A diferencia del multiprocesamiento, las funciones remotas de Ray satisfacen estos requisitos. Es importante señalar que remoto no se refiere necesariamente a un ordenador distinto, a pesar de su nombre; la función podría estar ejecutándose en la misma máquina. Lo que sí proporciona Ray es la asignación de las llamadas a la función al proceso adecuado en tu nombre. Ray se encarga de distribuir las llamadas a esa función en lugar de ejecutarlas en el mismo proceso. Cuando llamas a funciones remotas, en realidad estás ejecutando de forma asíncrona en varios núcleos o máquinas diferentes, sin tener que preocuparte de cómo o dónde.
Nota
Asíncronamente es una forma elegante de decir que se ejecutan varias cosas al mismo tiempo sin esperarse ...
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