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

Summary

In this chapter, we walked through how runners execute pipelines in both classic mode and using the portability layer. We have seen that classic runners are suitable only for cases where a particular underlying technology – for instance, Apache Flink – has an API in the same language as the pipeline SDK. The most practical cases for this include using the Java SDK for both the runner and the pipeline.

In cases where the language of the runner and the pipeline SDK differ, we have to use portability (Fn API), which brings some overhead. We have seen how pipeline fusion is used to reduce this overhead as much as possible. We have also discussed situations where we want to prevent fusion and how to do this by inserting a shuffle boundary.

Next, we discussed the responsibilities of a runner with regard to state management. We saw how the runner ensures fault tolerance and correctness upon failures. We outlined two basic types of fault-tolerant states: local state...