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Hands-On Big Data Analytics with PySpark

You're reading from   Hands-On Big Data Analytics with PySpark Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781838644130
Length 182 pages
Edition 1st Edition
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Authors (3):
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James Cross James Cross
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James Cross
Bartłomiej Potaczek Bartłomiej Potaczek
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Bartłomiej Potaczek
Rudy Lai Rudy Lai
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Rudy Lai
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Table of Contents (15) Chapters Close

Preface 1. Installing Pyspark and Setting up Your Development Environment FREE CHAPTER 2. Getting Your Big Data into the Spark Environment Using RDDs 3. Big Data Cleaning and Wrangling with Spark Notebooks 4. Aggregating and Summarizing Data into Useful Reports 5. Powerful Exploratory Data Analysis with MLlib 6. Putting Structure on Your Big Data with SparkSQL 7. Transformations and Actions 8. Immutable Design 9. Avoiding Shuffle and Reducing Operational Expenses 10. Saving Data in the Correct Format 11. Working with the Spark Key/Value API 12. Testing Apache Spark Jobs 13. Leveraging the Spark GraphX API 14. Other Books You May Enjoy

Immutability in the highly concurrent environment

We saw how immutability affects the creation and design of programs, so now we will understand how it is useful.

In this section, we will cover the following topics:

  • The cons of mutable collections
  • Creating two threads that simultaneously modify a mutable collection
  • Reasoning about a concurrent program

Let's first understand the cause of mutable collections. To do this, we will be creating two threads that simultaneously modify the mutable collection. We will be using this code for our test. First, we will create a ListBuffer that is a mutable list. Then, we can add and delete links without creating another list for any modification. We can then create an Executors service with two threads. We need two threads to start simultaneously to modify the state. Later, we will use a CountDownLatch construct from Java.util.concurrent...

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