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Kafka
The Definitive Guide
REAL-TIME DATA AND STREAM PROCESSING AT SCALE
Neha Narkhede,
Gwen Shapira & Todd Palino
Real-Time Data and Stream Processing at Scale
Kafka: The Definitive Guide
Neha Narkhede, Gwen Shapira, and Todd Palino
Beijing
Boston Farnham Sebastopol
Tokyo
Kafka: The Definitive Guide
by Neha Narkhede, Gwen Shapira, and Todd Palino
Copyright © 2017 Neha Narkhede, Gwen Shapira, Todd Palino. All rights reserved.
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July 2017:
First Edition
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Revision History for the First Edition
2017-07-07: First Release
2017-10-13: Second Release
2018-03-30: Third Release
2019-08-09: Fourth Release
See
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thereof complies with such licenses and/or rights.
978-1-491-93616-0
[LSI]
Table of Contents
Foreword. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
Preface. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xv
1.
Meet Kafka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Publish/Subscribe Messaging
How It Starts
Individual Queue Systems
Enter Kafka
Messages and Batches
Schemas
Topics and Partitions
Producers and Consumers
Brokers and Clusters
Multiple Clusters
Why Kafka?
Multiple Producers
Multiple Consumers
Disk-Based Retention
Scalable
High Performance
The Data Ecosystem
Use Cases
Kafka’s Origin
LinkedIn’s Problem
The Birth of Kafka
Open Source
The Name
1
2
3
4
4
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5
6
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8
10
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10
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11
11
12
14
14
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16
iii

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