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

Explaining PTransform expansion

A PTransform is a short name for parallel transform – an Apache Beam primitive for transforming PInput into POutput. PInput is a labeling interface that marks objects as suitable as input to PTransform, while POutput marks objects as suitable as outputs. We already know these objects quite well – a typical one that's used for both input and output is PCollection. But there are others as well – most notably PCollectionTuple and PCollectionList. There are also two special objects – PBegin and PDone. As we already know, an Apache Beam program – a pipeline – is a DAG whose edges represent PCollections and whose nodes represent PTransforms. PTransforms in the DAG that take PBegin as input are roots, while PTransforms that produce PDone are the leaves of the DAG.

This can be seen in the following diagram:

Figure 4.1 – DAG of PTransforms and PCollections

A PTransform is a recursive...