Run the YARN service on a cluster
You can use the YARN services API to define a service and run it on the Docker environment that you have configured. The procedure varies depending on whether your cluster is Kerberized or non-Kerberized.
Managing Data Operating System
Also available as:
- Introduction
- Application Development
- Using the YARN REST APIs to Manage Applications
- Collect Application Data with the Timeline Server
- Timeline Service 2.0 Overview
- Timeline Server 1.5 Overview
- Upgrade Timeline Server 1.0 to 1.5
- Configure the Timeline Server
- Enable Generic Data Collection
- Configure Per-framework Data Collection
- Configure the Timeline Server Store
- Configure Timeline Server Security
- Run the Timeline Server
- Access Generic Data from the Command Line
- Publish Per-framework Data in Applications
- Application Management
- Manage Long-running YARN Applications
- Use the YARN CLI to View Logs for Running Applications
- Run Multiple MapReduce Versions Using the YARN Distributed Cache
- Enable Cross-Origin Support on YARN
- Run Docker Containers on YARN
- Quick start for running YARN services API on Docker containers
- Attaching storage to YARN containers by using CSI
- Cluster Management
- Allocating Resources with the Capacity Scheduler
- Capacity Scheduler Overview
- Enable the Capacity Scheduler
- Set up Queues
- Control Access to Queues with ACLs
- Define Queue Mapping Policies
- Manage Cluster Capacity with Queues
- Set Queue Priorities
- Resource Distribution Workflow
- Resource Distribution Workflow Example
- Set User Limits
- Application Reservations
- Set Flexible Scheduling Policies
- Start and Stop Queues
- Set Application Limits
- Enable Preemption
- Enable Priority Scheduling
- Configure ACLs for Application Priorities
- Enable Intra-Queue Preemption
- Monitoring Clusters using YARN Web User Interface
- Fault Tolerance