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Instant Parallel processing with Gearman.
Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. This is a quick tutorial allowing you to quickly increase the efficiency of your system by intelligently reducing its workload where possible and lea...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2013.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a Instant Parallel processing with Gearman. |
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| 520 | |a Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. This is a quick tutorial allowing you to quickly increase the efficiency of your system by intelligently reducing its workload where possible and learn techniques for designing your solutions to take advantage of Gearman's architecture. The technology covered in this book is usable by almost any modern programming language and any type of application, be it web, desktop, or mobile applications. This book targets developers who are interested in ad. | ||
| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewer; www.packtpub.com; packtlib.packtpub.com; Table of Contents; Instant Parallel Processing with Gearman; So, what is Gearman?; Distinguishing features of Gearman; Overview of components; The conversation between the actors; Usecase -- image processing; Quick Start -- building your first components; Step 1 -- running a server; Step 2 -- downloading a client library; Your first client; Writing the client; Step 3 -- our first worker; Step 4 -- varying priorities; Step 5 -- background tasks; And that's it. | |
| 505 | 8 | |a Top 5 features you need to know aboutJob handling; Completed versus successful; Unique identifiers and coalescing; The client; The worker; Making it work; Scaling your system; Running multiple managers; Writing a client that supports multiple managers; Submitting jobs to multiple managers; Handling a manager being terminated; Processing jobs from multiple managers; MapReduce; The shared library; A simple program; The client; The worker; Parallelizing the pipeline; Scaling this solution; Processing a large data file; Providing job updates; Data updates; Status updates. | |
| 505 | 8 | |a Building a processing pipelineUsing multiple languages; Persistence engines; Why is this important?; Persistent versus non-persistent; How safe is safe?; People and places you should get to know; Client libraries; Community. | |
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
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| 650 | 0 | |a Parallel processing (Electronic computers) | |
| 650 | 0 | |a Perl (Computer program language) | |
| 650 | 0 | |a High performance computing. | |
| 650 | 6 | |a Superinformatique. | |
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