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YARN essentials : a comprehensive, hands-on guide to install, administer, and configure settings in YARN /

If you have a working knowledge of Hadoop 1.x but want to start afresh with YARN, this book is ideal for you. You will be able to install and administer a YARN cluster and also discover the configuration settings to fine-tune your cluster both in terms of performance and scalability. This book will...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Fasale, Amol (Autor), Kumar, Nirmal (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Fasale, Amol,  |e author. 
245 1 0 |a YARN essentials :  |b a comprehensive, hands-on guide to install, administer, and configure settings in YARN /  |c Amol Fasale, Nirmal Kumar. 
246 3 0 |a Comprehensive, hands-on guide to install, administer, and configure settings in YARN 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
490 1 |a Community experience distilled 
588 |a Description based on online resource; title from cover page (Safari, viewed March 26, 2015). 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Need for YARN; The redesign idea; Limitations of the classical MapReduce or Hadoop 1.x; YARN as the modern operating system of Hadoop; What are the design goals for YARN; Summary; Chapter 2: YARN Architecture; Core components of YARN architecture; ResourceManager; ApplicationMaster (AM); NodeManager (NM); YARN scheduler policies; The FIFO (First In First Out) scheduler; The fair scheduler; The capacity scheduler; Recent developments in YARN architecture; Summary 
505 8 |a Chapter 3: YARN InstallationSingle-node installation; Prerequisites; Platform; Software; Starting with the installation; The standalone mode (local mode); The pseudo-distributed mode; The fully-distributed mode; HistoryServer; Slave files; Operating Hadoop and YARN clusters; Starting Hadoop and YARN clusters; Stopping Hadoop and YARN clusters; Web interfaces of the Ecosystem; Summary; Chapter 4: YARN and Hadoop Ecosystems; The Hadoop 2 release; A short introduction to Hadoop 1.x and MRv1; MRv1 versus MRv2; Understanding where YARN fits into Hadoop; Old and new MapReduce APIs 
505 8 |a Backward compatibility of MRv2 APIsBinary compatibility of org.apache.hadoop.mapred APIs; Source compatibility of org.apache.hadoop.mapred APIs; Practical examples of MRv1 and MRv2; Preparing the input file(s); Running the job; Result; Summary; Chapter 5: YARN Administration; Container allocation; Container allocation to the application; Container configurations; YARN scheduling policies; The FIFO (First In First Out) scheduler; The FIFO (First In First Out) scheduler; The capacity scheduler; Capacity scheduler configurations; The fair scheduler; Fair scheduler configurations 
505 8 |a YARN multitenancy application supportYARN administration; Administrative tools; Adding and removing nodes from a YARN cluster; Administrating YARN jobs; MapReduce job configurations; YARN log management; YARN web user interface; Summary; Chapter 6: Developing and Running a Simple YARN Application; Running sample examples on YARN; Running a sample Pi example; Monitoring YARN applications with web GUI; YARN's MapReduce support; The MapReduce ApplicationMaster; Example YARN MapReduce settings; YARN's compatibility with MapReduce applications; Developing YARN applications 
505 8 |a The YARN application workflowWriting the YARN client; Writing the YARN ApplicationMaster; Responsibilities of the ApplicationMaster; Summary; Chapter 7: YARN Frameworks; Apache Samza; Writing a Kafka producer; Writing the hello-samza project; Starting a grid; Storm-YARN; Prerequisites; Hadoop YARN should be installed; Apache ZooKeeper should be installed; Setting up Storm-YARN; Getting the storm.yaml configuration of the launched Storm cluster; Building and running Storm-Starter examples; Apache Spark; Why run on YARN?; Apache Tez; Apache Giraph; HOYA (HBase on YARN); KOYA (Kafka on YARN) 
520 |a If you have a working knowledge of Hadoop 1.x but want to start afresh with YARN, this book is ideal for you. You will be able to install and administer a YARN cluster and also discover the configuration settings to fine-tune your cluster both in terms of performance and scalability. This book will help you develop, deploy, and run multiple applications/frameworks on the same shared YARN cluster. 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a Apache Hadoop. 
630 0 7 |a Apache Hadoop  |2 fast 
650 0 |a Electronic data processing  |x Distributed processing. 
650 0 |a File organization (Computer science) 
650 6 |a Traitement réparti. 
650 6 |a Fichiers (Informatique)  |x Organisation. 
650 7 |a Electronic data processing  |x Distributed processing  |2 fast 
650 7 |a File organization (Computer science)  |2 fast 
700 1 |a Kumar, Nirmal,  |e author. 
776 |z 1-78439-173-5 
776 |z 1-336-02613-8 
830 0 |a Community experience distilled. 
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