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Learning YARN

You're reading from   Learning YARN Moving beyond MapReduce - learn resource management and big data processing using YARN

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781784393960
Length 278 pages
Edition 1st Edition
Tools
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Toc

Table of Contents (14) Chapters Close

Preface 1. Starting with YARN Basics FREE CHAPTER 2. Setting up a Hadoop-YARN Cluster 3. Administering a Hadoop-YARN Cluster 4. Executing Applications Using YARN 5. Understanding YARN Life Cycle Management 6. Migrating from MRv1 to MRv2 7. Writing Your Own YARN Applications 8. Dive Deep into YARN Components 9. Exploring YARN REST Services 10. Scheduling YARN Applications 11. Enabling Security in YARN 12. Real-time Data Analytics Using YARN Index

The YARN Timeline server


It keeps the information for current and historic applications executed on the YARN cluster. It performs the following two important tasks:

  • Generic information about the completed applications. It provides the following information for an application:

    • Queue name

    • User information

    • Application attempts

    • Containers that ran for every application attempt

    • Containers

  • Per framework information of running and completed applications:

    • Application or framework-specific information, such as the number of map reduce tasks for a MapReduce application.

    • The user published information from client or application master.

To configure and start the YARN Timeline server, you can refer to Chapter 3, Administering a Hadoop-YARN Cluster.

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