December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome 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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Creating broadcast variables and accumulators
This recipe shows how to use accumulators and broadcast variables. Accumulators are used to aggregate values from worker nodes back to the driver program. One of the most common uses of accumulators is to count events that occur during job execution for debugging purposes. The other type of shared variable is the broadcast variable, which allows the program to efficiently send a large, read-only value to all the worker nodes for use in one or more Spark operations. Such variables are used in cases where the application needs to send a large, read-only lookup table to all the nodes.
Getting ready
To step through this recipe, you will need a running Spark cluster either in pseudo distributed mode or in ...
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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.