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Apache Kafka 1.0 Cookbook

You're reading from Apache Kafka 1.0 Cookbook Over 100 practical recipes on using distributed enterprise messaging to handle real-time data

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781787286849

Length 250 pages

Edition 1st Edition

Languages

Java

Tools

Kafka

Concepts

Data Analysis

Authors (2):

Raúl Estrada

Alexey Zinoviev

View More author details

Table of Contents (11) Chapters

Preface

1. Configuring Kafka FREE CHAPTER

2. Kafka Clusters

3. Message Validation

4. Message Enrichment

5. The Confluent Platform

6. Kafka Streams

7. Managing Kafka

8. Operating Kafka

9. Monitoring and Security

10. Third-Party Tool Integration

Writing to Kafka from Apache Beam

This recipe shows how to write to Kafka with Apache Beam.

Getting ready

To install Apache Beam, follow the instructions at: https://beam.apache.org/get-started/quickstart-py/.

How to do it...

The following code shows how to write a Beam pipeline to write to Kafka. The example illustrates various options for configuring the Beam sink:

 
  PCollection<KV<Long, String>> kvColl = ...; 
  kvColl.apply(KafkaIO.write() 
       .withBootstrapServers("broker_1:9092, broker_2:9092") 
       .withTopic("destination...

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Authors (2)

Zinoviev

Zinoviev

See other products by Zinoviev

Estrada

Estrada

Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves all topics related to computer science. With more than 15 years of experience in high-availability and enterprise software, he has been designing and implementing architectures since 2003. His specialization is in systems integration, and he mainly participates in projects related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc., but he also enjoys web, mobile, and game programming. Raúl is a supporter of free software and enjoys experimenting with new technologies, frameworks, languages, and methods. Raúl is the author of other Packt Publishing titles, such as Fast Data Processing Systems with SMACK and Apache Kafka Cookbook.

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