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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

Processing data with KSQL

In previous chapters, we took the data from the healthchecks topic, calculated the uptimes of the machines, and pushed this data into a topic called uptimes. Now, we are going to do this with KSQL.

At the time of writing, KSQL does not yet have a function to compare two dates, so we have the following two options:

  • Code a user-defined function (UDF) for KSQL in Java
  • Use the existing functions to make our calculation

As creating a new UDF is out of scope for now, let's go for the second option: use the existing functions to make our calculation.

The first step is to parse the startup time using the STRINGTOTIMESTAMP function, shown as follows (remember that we declared the date in string format, because KSQL doesn't yet have a DATE type):

ksql> SELECT event, factory, serialNumber, type, status, lastStartedAt, temperature, ipAddress, STRINGTOTIMESTAMP...
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