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Apache Kafka : set up Apache Kafka clusters and develop custom message producers and consumers using practical, hands-on examples /
Chapter 7: Kafka Integrations; Kafka integration with Storm; Introduction to Storm; Integrating Storm; Kafka integration with Hadoop; Introduction to Hadoop; Integrating Hadoop; Hadoop producer; Hadoop consumer; Summary; Chapter 8: Kafka Tools; Kafka administration tools; Kafka topic tools; Kafka re...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2013.
|
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 1 | 0 | |a Apache Kafka : |b set up Apache Kafka clusters and develop custom message producers and consumers using practical, hands-on examples / |c Nishant Garg. |
| 260 | |a Birmingham : |b Packt Publishing, |c 2013. | ||
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| 505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Kafka; Need for Kafka; Few Kafka usages; Summary; Chapter 2: Installing Kafka; Installing Kafka; Downloading Kafka; Installing the prerequisites; Installing Java 1.6 or later; Building Kafka; Summary; Chapter 3: Setting up the Kafka Cluster; Single node -- single broker cluster; Starting the ZooKeeper server; Starting the Kafka broker; Creating a Kafka topic; Starting a producer for sending messages; Starting a consumer for consuming messages. | |
| 505 | 8 | |a Single node -- multiple broker clusterStarting ZooKeeper; Starting the Kafka brokers; Creating a Kafka topic; Starting a producer for sending messages; Starting a consumer for consuming messages; Multiple node -- multiple broker cluster; Kafka broker property list; Summary; Chapter 4: Kafka Design; Kafka design fundamentals; Message compression in Kafka; Cluster mirroring in Kafka; Replication in Kafka; Summary; Chapter 5: Writing Producers; The Java producer API; Simple Java producer; Importing classes; Defining properties; Building the message and sending it. | |
| 505 | 8 | |a Creating a simple Java producer with message partitioningImporting classes; Defining properties; Implementing the Partitioner class; Building the message and sending it; The Kafka producer property list; Summary; Chapter 6: Writing Consumers; Java consumer API; High-level consumer API; Simple consumer API; Simple high-level Java consumer; Importing classes; Defining properties; Reading messages from a topic and printing them; Multithreaded consumer for multipartition topics; Importing classes; Defining properties; Reading the message from threads and printing it; Kafka consumer property list. | |
| 520 | |a Chapter 7: Kafka Integrations; Kafka integration with Storm; Introduction to Storm; Integrating Storm; Kafka integration with Hadoop; Introduction to Hadoop; Integrating Hadoop; Hadoop producer; Hadoop consumer; Summary; Chapter 8: Kafka Tools; Kafka administration tools; Kafka topic tools; Kafka replication tools; Integration with other tools; Kafka performance testing; Summary; Index. | ||
| 520 | |a The book will follow a step-by-step tutorial approach which will show the readers how to use Apache Kafka for messaging from scratch. Apache Kafka is for readers with software development experience, but no prior exposure to Apache Kafka or similar technologies is assumed. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber based systems and now want to explore Apache Kafka as a futuristic scalable solution. | ||
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