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

Introducing the primitive PTransform object – stateful ParDo

This section will focus on a theoretical description of the stateful ParDo transform, which is the most complex transform that a typical user of Beam needs to understand. We will divide this section into two subsections. First, we will describe its theoretical properties and the differences from the stateless version of ParDo. Then, we will see how this theoretical knowledge applies to API changes.

Describing the theoretical properties of the stateful ParDo object

As we have seen, the main difference between a stateful ParDo object and a stateless ParDo object is – as the name suggests – the presence of user state or timers. This alone brings one important requirement: every meaningful access to a state must be keyed. That is to say, the PCollection object we apply to a stateful ParDo object must be of the KV<K, V> type. We must assign a key to every element of a PCollection object (or use...