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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
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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

Stream processor analysis

If you have a lot of questions here, it is normal.

The first thought to consider is that in streaming aggregation, and in streaming in general, the Streams are unbounded. It is never clear when we will take the final results, that is, we as programmers have to decide when to consider a partial value of an aggregation as a final result.

Recall that the print of the Stream is an instant photo of the KTable at a certain time. Therefore, the results of a KTable are only valid at the time of the output. It is important to remember that in the future, the values of the KTable may be different. Now, to see results more frequently, change the value of the commit interval to zero, shown as follows:

props.put("commit.interval.ms", 0);

This line says that the results of the KTable will be printed when they are modified, that is, it will print new values...

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