Book Image

Building Big Data Pipelines with Apache Beam

By : Jan Lukavský
Book Image

Building Big Data Pipelines with Apache Beam

By: Jan Lukavský

Overview of this book

Apache Beam is an open source unified programming model for implementing and executing data processing pipelines, including Extract, Transform, and Load (ETL), batch, and stream processing. This book will help you to confidently build data processing pipelines with Apache Beam. You’ll start with an overview of Apache Beam and understand how to use it to implement basic pipelines. You’ll also learn how to test and run the pipelines efficiently. As you progress, you’ll explore how to structure your code for reusability and also use various Domain Specific Languages (DSLs). Later chapters will show you how to use schemas and query your data using (streaming) SQL. Finally, you’ll understand advanced Apache Beam concepts, such as implementing your own I/O connectors. By the end of this book, you’ll have gained a deep understanding of the Apache Beam model and be able to apply it to solve problems.
Table of Contents (13 chapters)
1
Section 1 Apache Beam: Essentials
5
Section 2 Apache Beam: Toward Improving Usability
9
Section 3 Apache Beam: Advanced Concepts

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "For this reason, Beam defined a RestrictionTracker object."

A block of code is set as follows:

ClassLoader loader = FirstPipeline.class.getClassLoader();String file = loader.getResource("lorem.txt").getFile();List<String> lines = Files.readAllLines(Paths.get(file), StandardCharsets.UTF_8); 

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

@Override
public PCollection<String> expand(PBegin input) {
  return input
    .apply(Impulse.create())
    .apply(MapElements.into(TypeDescriptors.strings())
        .via(e -> directoryPath))
    .apply(new DirectoryWatch())
    .apply(Reshuffle.viaRandomKey())
    .apply(new FileRead());
}

Any command-line input or output is written as follows:

$ ./mvnw clean install

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: "A typical example of a runner would be Apache Flink, Apache Spark, or Google Cloud Dataflow."

Tips or Important notes

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