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 9 – Separating droppable data from the rest of the data processing

Under normal circumstances, data flowing in a pipeline does not change its status regarding being late, droppable, or on time. However, the exceptions to this are as follows:

  • Data could change its status if we change our WindowFn object and re-window our stream, thereby producing different points in time that define the window GC time.
  • Data could change its status if we apply logic with a more sensitive definition of droppable data – this specifically applies to @RequiresTimeSortedInput, where droppable data becomes every data element that is – at any point in time – more behind the watermark than the defined allowed lateness.

We can rephrase these conditions so that as long as we do not change the window function and do not apply logic with specific requirements, the droppable status of an element should not change between transforms. We will use this property to...