Book Image

Apache Kafka 1.0 Cookbook

By : Alexey Zinoviev, Raúl Estrada
Book Image

Apache Kafka 1.0 Cookbook

By: Alexey Zinoviev, Raúl Estrada

Overview of this book

Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have.
Table of Contents (18 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Dedication
Preface

Using state change log merger


The StateChangeLogMerger tool merges the state change logs from different brokers for easy posterior analysis. It is a tool for merging the log files from several brokers to rebuild a unified history of what happened.

Getting ready

For this recipe, Kafka must be installed, ZooKeeper running, brokers running, and some topics created on it. The topics should have produced some messages. It is better if there are several days' worth of broker information.

How to do it...

From the Kafka installation directory, run this command:

$ bin/kafka-run-class.sh kafka.tools.StateChangeLogMerger --log-regex /tmp/state-change.log* --partitions 0,1,2 --topic source-topic

How it works...

The StateChangeLogMerger command takes the following parameters:

  • --end-time <String: end>: This specifies the latest timestamp of state change entries to be merged in java.text.SimpleDateFormat
  • --logs <String: file1, file2, ...>: This is used to specify a comma-separated list of state change...