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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

Writing to a topic

So far, we have processed the data and printed the results in real time. To send these results to another topic, we use a CREATE command modality, where it is specified from a SELECT.

Let's start by writing the uptime as a string and writing the data in a comma-delimited format, shown as follows (remember that KSQL supports comma-delimited, JSON, and Avro formats). At the moment, it's enough because we're only writing one value:

ksql> CREATE STREAM uptimes WITH (kafka_topic='uptimes', value_format='delimited') AS SELECT CAST((STRINGTOTIMESTAMP('2017-11-18','yyyy-MM-dd''T''HH:mm:ss.SSSZ')-STRINGTOTIMESTAMP(lastStartedAt,'yyyy-MM-dd'))/86400/1000 AS string) AS uptime FROM healthchecks;

The output is similar to this:

Message
----------------------------
Stream created and running...
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