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Apache Kafka 1.0 Cookbook

You're reading from  Apache Kafka 1.0 Cookbook

Product type Book
Published in Dec 2017
Publisher Packt
ISBN-13 9781787286849
Pages 250 pages
Edition 1st Edition
Languages
Authors (2):
Alexey Zinoviev Alexey Zinoviev
Profile icon Alexey Zinoviev
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada
View More author details

Table of Contents (18) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Configuring Kafka 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

Pushing data from Kafka to Elastic


As mentioned, Elasticsearch is a distributed, full-text search engine that supports a RESTful web interface and schema-free JSON documents. Elasticsearch was built with distributed searches in mind. There are several ways to push data into Elasticsearch. In this recipe, the plugin that enables data pushing from Kafka to Elasticsearch is analyzed.

Getting ready

For this recipe, a Kafka cluster must be up and running and a confluent platform is needed. To install Elasticsearch follow the instructions on this page: https://www.elastic.co/guide/en/elasticsearch/reference/current/_installation.html.

How to do it...

The Elasticsearch connector is needed. Before starting the connector, the configuration is in

etc/kafka-connect-elasticsearch/quickstart-elasticsearch.properties.

This must be properly set to the Elasticsearch configuration: connection.url points to the correct HTTP address.

To start the Elasticsearch connector, use the following command:

$ ./bin/connect...
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