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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Garg, Nishant
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2013.
Colección:Community experience distilled.
Temas:
Telecommunication > Message processing.
Information storage and retrieval systems.
Application software > Programming.
Télécommunications > Traitement de messages.
Systèmes d'information.
Logiciels d'application > Programmation.
information retrieval services.
information storage.
COMPUTERS > Data Transmission Systems > General.
TECHNOLOGY & ENGINEERING > Telecommunications.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.
  • 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.
  • 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.

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