September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Summary
RDDs are a fundamental unit of data in Spark and Spark programming revolves around creating and performing operations on RDDs such as transformations and actions. Apache Spark programs can be interactively executed in a shell or by submitting applications. Parallelism is defined by the number of partitions in an RDD. The number of partitions is decided by the number of blocks in the HDFS file, or type of resource manager and configuration properties used for non-HDFS files.
Caching RDDs in memory is useful for performing multiple actions on the same RDD as it provides higher performance. When an RDD is cached with the MEMORY_ONLY option, partitions that do not fit in memory will be re-computed as and when needed. If re-compute is expensive, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.