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You're reading from  Building Big Data Pipelines with Apache Beam

Product typeBook
Published inJan 2022
Reading LevelBeginner
PublisherPackt
ISBN-139781800564930
Edition1st Edition
Languages
Python
Tools
Apache Beam
Concepts
Data Processing
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Author (1)
Jan Lukavský
Jan Lukavský
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Jan Lukavský

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.
Read more about Jan Lukavský

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Task 17 – Implementing MaxWordLength in the Python SDK

We will use the well-known examples, which have mostly been implemented using the Java SDK, from Chapter 2, Implementing, Testing, and Deploying Basic Pipelines, and Chapter 3, Implementing Pipelines Using Stateful Processing. We will also build on our knowledge from Chapter 4, Structuring Code for Reusability, regarding using user-defined PTransforms for better reusability and testing.

Our first complete task will be the task we implemented as Task 2 in Chapter 2, Implementing, Testing, and Deploying Basic Pipelines, but as always, for clarity, we will restate the problem here.

Problem definition

Given an input data stream of lines of text, calculate the longest word found in this stream. Start with an empty word; once a longer word is seen, output the newly found candidate.

Problem decomposition discussion

From a logical perspective, this problem is the same as in the case of Task 2. So, let's focus...

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Building Big Data Pipelines with Apache Beam
Published in: Jan 2022Publisher: PacktISBN-13: 9781800564930
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Jan Lukavský

Jan Lukavský is a freelance big data architect and engineer who is also a committer of Apache Beam. He is a certified Apache Hadoop professional. He is working on open source big data systems combining batch and streaming data pipelines in a unified model, enabling the rise of real-time, data-driven applications.
Read more about Jan Lukavský

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