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Apache Kafka Quick Start Guide

You're reading from   Apache Kafka Quick Start Guide Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788997829
Length 186 pages
Edition 1st Edition
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Author (1):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
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Table of Contents (10) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Message Validation 3. Message Enrichment 4. Serialization 5. Schema Registry 6. Kafka Streams 7. KSQL 8. Kafka Connect 9. Other Books You May Enjoy

Scaling out with Kafka Streams

To scale out the architecture as promised, we must follow these steps:

  1. Run a console consumer for the uptimes topic, shown as follows:
$ ./bin/kafka-console-consumer --bootstrap-server localhost:9092 
--topic uptimes --property print.key=true
  1. Run the application jar from the command line, shown in the following code:
$ java -cp ./build/libs/kioto-0.1.0.jar 
kioto.plain.PlainStreamsProcessor

This is when we verify that our application really scales out.

  1. From a new command-line window, we execute the same command, shown as follows:
$ java -cp ./build/libs/kioto-0.1.0.jar 
kioto.plain.PlainStreamsProcessor

The output should be something like the following:

2017/07/05 15:03:18.045 INFO ... Setting newly assigned 
partitions [healthchecks-2, healthchecks -3]

If we remember the theory of Chapter 1, Configuring Kafka, when we created our topic, we specified...

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