September 2015
Intermediate to advanced
148 pages
3h 20m
English
Content preview from Apache Spark Graph ProcessingBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 6. Iterative Graph-Parallel Processing with Pregel
Graphs are a very useful abstraction for solving many practical computing problems. For example, we can search through nearly five billion web pages today, thanks to the PageRank graph algorithm. Apart from the web search, there are other applications, such as social media, for which iterative graph processing is needed. In this chapter, we will learn how to use Pregel, a computational model, which is suitable for this task. Pregel was initially proposed by Google and has also been adopted by Spark as a generic programming interface for iterative graph computations. In this chapter, you will understand the Pregel model of computation. In addition, our learning goal is to clarify both ...
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