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

Inserting data from Kafka to SolrCloud


Solr is a highly-available, fault-tolerant environment for distributing indexed content and query requests across multiple servers. It is not possible to insert data into Solr directly; a tool like Flume is needed.

Getting ready

For this recipe a Kafka cluster must be up and running.

To install Solr follow the instructions on this page: https://lucene.apache.org/solr/guide/6_6/installing-solr.html.

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. Create a Flume configuration file called flume.conf with this content:
flume1.sources = kafka-source-1 
flume1.channels = mem-channel-1 
flume1.sinks = solr-sink-1 
 
flume1.sources.kafka-source-1.type=org.apache.flume.source.kafka.KafkaSource 
flume1.sources.kafka-source-1.zookeeperConnect = localhost:2181 
flume1.sources.kafka-source-1.topic = source-topic 
flume1.sources.kafka-source-1.batchSize = 100 
flume1.sources...