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YARN Essentials.
YARN is the next generation generic resource platform used to manage resources in a typical cluster and is designed to support multitenancy in its core architecture. As optimal resource utilization is central to the design of YARN, learning how to fully utilize the available fine-grained resources (...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Packt Publishing,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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
- 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
- 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
- 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
- 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)