Quick start for running YARN services API on Docker containers
You can manage dockerized YARN services on your Hadoop cluster using Docker swarm and an overlay network.
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