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

Understanding default triggers, on time, and closing behavior

As we have seen, when specifying a PTransform window, which is necessary for all grouping operations, we may optionally specify a triggering. We explored this concept in the theoretical part of Chapter 1, Introduction to Data Processing with Apache Beam. Here, we will focus specifically on understanding how Beam interprets triggers and when the output is triggered.

The simplest trigger we can specify is the AfterWatermark.pastEndOfWindow() trigger, which simply means trigger the output once the window has completed. That is, once the watermark passes the end timestamp of each particular window. We have already seen that each window has such an end timestamp, including the global window, which has a timestamp set in the very distant future.

A question we might ask is, which trigger will be used if we create a PTransform window without specifying a trigger? The answer is DefaultTrigger. How should this trigger be defined...