June 2016
Intermediate to advanced
280 pages
9h 41m
English
Content preview from Spark GraphX in ActionBecome 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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Part 3. Over the arc
Part 3 covers the missing pieces and documentation. In chapter 8, you’ll see algorithms you might expect to be part of the GraphX API but that aren’t as of Spark 1.6. From reading standard RDF format graph data to merging graphs, the algorithms in chapter 8 plug some of those holes.
Chapter 8 also covers how to use IndexedRDD, which is like the HashMap of RDDs. We go through an example showing how it can speed up performance.
Finally, you’ll see an example of identifying likely missing data from Wikipedia using ideas from graph isomorphisms—finding pieces of graphs that are similar to each other.
Chapter 9 is all about putting GraphX into production and doing debugging and performance tuning. It steps you through tools ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.