February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome 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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Summary
RDDs are the backbone of Spark; these schema-less data structures are the most fundamental data structures that we will deal with within Spark.
In this chapter, we presented ways to create RDDs from text files, by means of the .parallelize(...) method as well as by reading data from text files. Also, some ways of processing unstructured data were shown.
Transformations in Spark are lazy - they are only applied when an action is called. In this chapter, we discussed and presented the most commonly used transformations and actions; the PySpark documentation contains many more http://spark.apache.org/docs/latest/api/python/pyspark.html#pyspark.RDD.
One major distinction between Scala and Python RDDs is speed: Python RDDs can be much slower than ...
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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.
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.