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Apache Kafka 1.0 Cookbook

You're reading from   Apache Kafka 1.0 Cookbook Over 100 practical recipes on using distributed enterprise messaging to handle real-time data

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787286849
Length 250 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
Alexey Zinoviev Alexey Zinoviev
Author Profile Icon Alexey Zinoviev
Alexey Zinoviev
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Toc

Table of Contents (11) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Kafka Clusters 3. Message Validation 4. Message Enrichment 5. The Confluent Platform 6. Kafka Streams 7. Managing Kafka 8. Operating Kafka 9. Monitoring and Security 10. Third-Party Tool Integration

Moving data from Kafka to Elastic with Logstash


Logstash is a tool from Elastic (http://www.elastic.co/). Logstash simplifies log extraction from any source with Elasticsearch. It also allows centralizing data processing and normalizing schemas and formats for several data types. This recipe shows how to read with Logstash from Kafka and push the data to Elastic.

Getting ready

Have a Kafka cluster up and running. To install Elasticsearch follow the instructions on this page: https://www.elastic.co/guide/en/elasticsearch/reference/current/_installation.html.

To install Logstash follow the instructions on this page: https://www.elastic.co/guide/en/logstash/current/installing-logstash.html.

How to do it...

To read data from Kafka and write it into Elasticsearch with Logstash:

  1. Write a file named kafkalogstash.conf with this content:
input {
    kafka {
        bootstrap_servers => "localhost:9092"
        topics => ["source-topic"]
    }
}
output {
    elasticsearch {
        host => localhost...
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