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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
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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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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 between Kafka nodes with Flume


Apache Flume is a reliable, highly available, distributed service for collecting, aggregating, and moving large amounts of data logs into data storage solutions. The data storage destination might be HDFS, Kafka, Hive, or any of the various sinks that Flume supports.

Apache Flume can also be used to transfer data between Kafka nodes. The following recipe shows how to do that.

Getting ready

For this recipe, it is necessary to have two different Kafka brokers up and running, one to publish data (source-topic) and the other (target-topic) to receive data.

The installation of Apache Flume is also required. Follow the instructions on this page: https://flume.apache.org/download.html.

How to do it...

  1. In the conf folder, create a Flume configuration file called flume.conf with this content:
flume1.sources = kafka-source-1 
flume1.channels = mem-channel-1 
flume1.sinks = kafka-sink-1 
 
flume1.sources.kafka-source-1.type=org.apache.flume.source.kafka.KafkaSource...
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