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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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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

Monitoring consumer statistics


As well as producer metrics, there are also consumer metrics.

Getting ready

For this recipe, we just need a Kafka broker up and running and JConsole installed.

How to do it...

  1. Start a console consumer for test_topic with the JMX parameters enabled:
$ JMX_PORT=10103 bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --from-beginning --topic test_topic
  1. Run JConsole using the following command:
$ jconsole 127.0.0.1:10103
  1. In the following screenshot, see the MBeans tab with the Kafka consumer metrics:

Figure 9.4: MBeans tab showing the Kafka consumer metrics

How it works...

Switch to the MBeans tab in JConsole; there are several consumer metrics. They are as follows:

  • kafka.consumer:type=ConsumerFetcherManager,name=MaxLag,clientId=test-consumer-group: This tells us by how many messages the consumer is lagging behind the producer.
  • kafka.consumer:type=ConsumerFetcherManager,name=MinFetchRate,clientId=test-consumer-group: This gives the minimum rate at which the consumer...
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