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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

Summary

In this chapter, we showed, instead of sending data in JSON format, how to use AVRO as the serialization format. The main benefit of AVRO (over JSON, for example) is that the data must conform to the schema. Another advantage of AVRO over JSON is that the messages are more compact when sent in binary format, although JSON is human readable.

The schemas are stored in the Schema Registry, so that all users can consult the schema version history, even when the code of the producers and consumers for those messages is no longer available.

Apache Avro also guarantees backward and forward compatibility of all messages in this format. Forward compatibility is achieved following some basic rules, such as when adding a new field, declaring its value as optional.

Apache Kafka encourages the use of Apache Avro and the Schema Registry for the storage of all data and schemas in Kafka...

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