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

Task 13 – Writing a reusable PTransform – StreamingInnerJoin

Our goal in this task is to create a reusable PTransform that will do the fully stream-oriented join. For simplicity, we will constrain ourselves to the inner join as the implementation of the full outer join would become a little lengthy. We will mention the differences at the end of this section, though.

Problem definition

Implement a PTransform that will be applied to a PCollectionTuple with exactly two TupleTags (leftHandTag and rightHandTag) and will produce a streaming join operation on top of them. The transform needs to take functions to extract join keys and both sides' primary keys. The output will contain the (inner) joined values and any retractions.

Problem decomposition discussion

We described the theoretical properties of a streaming join in the previous section, so we will focus on describing the semantics in practical examples. We will then use these examples to test our solution...