Working with YARN (v6) - ADM 204

Working with YARN (v6) - ADM 204

Install YARN services and learn about YARN job execution, logging options, and ways to allocate resources to YARN. Select the right YARN job schedulers and how to control job placement.

About this Course

This course is for cluster administrators who will be managing and running YARN jobs on the cluster.  It covers installing YARN services, and the flow of YARN job execution. You will learn about YARN logging options, and how to change how resources are allocated to YARN. Finally, you will learn about the job schedulers available to YARN, how to select the one that is most appropriate for your cluster, and how to  control job placement and resource allocation.

This is the last of five courses in the MapR Cluster Administration Series.

What's Covered

Course Lessons Lab Activities

13: Install and Configure YARN
Install YARN Services
YARN Job Execution Flow
Configure YARN
Configure YARN Logging

 

Install YARN Services
Change YARN Parameters
Configure YARN Log Aggregation

14: Job Schedulers
Select a Scheduler
Configure the Capacity Scheduler
Configure the Fair Scheduler
Use Label-Based Scheduling

 

Configure the Capacity Scheduler
Set Up Label-Based Scheduling

Prerequisites

  • Best results when this course is taken after completing ADM 200 - 203  in the Data Fabric Cluster Admin series
  • Completion of Intro to Big Data  and Apache Hadoop Essentials  is recommended
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a Linux text editor such as vi
  • Familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd

Curriculum

  • Lesson 13 - Install and Configure YARN
  • Quiz 13
  • Lesson 14 - Job Schedulers
  • Quiz 14
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide
  • Course Sandboxes

About this Course

This course is for cluster administrators who will be managing and running YARN jobs on the cluster.  It covers installing YARN services, and the flow of YARN job execution. You will learn about YARN logging options, and how to change how resources are allocated to YARN. Finally, you will learn about the job schedulers available to YARN, how to select the one that is most appropriate for your cluster, and how to  control job placement and resource allocation.

This is the last of five courses in the MapR Cluster Administration Series.

What's Covered

Course Lessons Lab Activities

13: Install and Configure YARN
Install YARN Services
YARN Job Execution Flow
Configure YARN
Configure YARN Logging

 

Install YARN Services
Change YARN Parameters
Configure YARN Log Aggregation

14: Job Schedulers
Select a Scheduler
Configure the Capacity Scheduler
Configure the Fair Scheduler
Use Label-Based Scheduling

 

Configure the Capacity Scheduler
Set Up Label-Based Scheduling

Prerequisites

  • Best results when this course is taken after completing ADM 200 - 203  in the Data Fabric Cluster Admin series
  • Completion of Intro to Big Data  and Apache Hadoop Essentials  is recommended
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a Linux text editor such as vi
  • Familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd

Curriculum

  • Lesson 13 - Install and Configure YARN
  • Quiz 13
  • Lesson 14 - Job Schedulers
  • Quiz 14
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide
  • Course Sandboxes