March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Working with the Spark Key/Value API
In this chapter, we'll be working with the Spark key/value API. We will start by looking at the available transformations on key/value pairs. We will then learn how to use the aggregateByKey method instead of the groupBy() method. Later, we'll be looking at actions on key/value pairs and looking at the available partitioners on key/value data. At the end of this chapter, we'll be implementing an advanced partitioner that will be able to partition our data by range.
In this chapter, we will be covering the following topics:
- Available actions on key/value pairs
- Using aggregateByKey instead of groupBy()
- Actions on key/value pairs
- Available partitioners on key/value data
- Implementing a custom partitioner ...
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