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Learning Apache Spark 2

You're reading from  Learning Apache Spark 2

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Pages 356 pages
Edition 1st Edition
Languages

Table of Contents (18) Chapters

Learning Apache Spark 2
Credits
About the Author
About the Reviewers
www.packtpub.com
Customer Feedback
Preface
1. Architecture and Installation 2. Transformations and Actions with Spark RDDs 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction 1. Theres More with Spark

Actions


As discussed previously, Actions are what makes Spark perform the actual computation from the graph that the framework has been building in the background while you were busy performing transformations on it. While there is a long list of actions offered by Spark, we'll list the most common actions offered by Spark and take you through some of the most common ones:

reduce(func)

takeOrdered(n, [ordering])

collect()

saveAsTextFile(path)

count()

saveAsSequenceFile(path)*

first()

saveAsObjectFile(path) *

take(n)

foreach(func)

takeSample(withReplacement,num, [seed])

Tip

The methods saveAsSequenceFile() and saveAsObjectFil() are only available in Java and Scala.

We have already seen reduce(), collect(), and count() in the previous examples, so we'll be quickly going through their semantics, but will not provide examples for the sake of brevity.

Reduce(func)

As the name implies, reduce performs aggregation on the input dataset, which is often the result of a...

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