General

• Overview
• Single Node Setup
• Cluster Setup
• Commands Reference
• FileSystem Shell
• Hadoop Compatibility
• Interface Classification
• FileSystem Specification

Common

• CLI Mini Cluster
• Native Libraries
• Proxy User
• Rack Awareness
• Secure Mode
• Service Level Authorization
• HTTP Authentication
• Credential Provider API
• Hadoop KMS
• Tracing

HDFS

• Architecture
• User Guide
• Commands Reference
• NameNode HA With QJM
• NameNode HA With NFS
• Federation
• ViewFs
• Snapshots
• Edits Viewer
• Image Viewer
• Permissions and HDFS
• Quotas and HDFS
• HFTP
• libhdfs (C API)
• WebHDFS (REST API)
• HttpFS
• Short Circuit Local Reads
• Centralized Cache Management
• NFS Gateway
• Rolling Upgrade
• Extended Attributes
• Transparent Encryption
• Multihoming
• Storage Policies
• Memory Storage Support

MapReduce

• Tutorial
• Commands Reference
• Compatibility with 1.x
• Encrypted Shuffle
• Pluggable Shuffle/Sort
• Distributed Cache Deploy

MapReduce REST APIs

• MR Application Master
• MR History Server

YARN

• Architecture
• Commands Reference
• Capacity Scheduler
• Fair Scheduler
• ResourceManager Restart
• ResourceManager HA
• Node Labels
• Web Application Proxy
• Timeline Server
• Writing YARN Applications
• YARN Application Security
• NodeManager
• Running Applications in Docker Containers
• DockerContainerExecutor
• Using CGroups
• Secure Containers
• Registry
• Reservation System

YARN REST APIs

• Introduction
• Resource Manager
• Node Manager
• Timeline Server

Hadoop Compatible File Systems

• Amazon S3
• Azure Blob Storage
• OpenStack Swift

Auth

• Overview
• Examples
• Configuration
• Building

Tools

• Hadoop Streaming
• Hadoop Archives
• Hadoop Archive Logs
• DistCp
• GridMix
• Rumen
• Scheduler Load Simulator
• Hadoop Benchmarking

Reference

• Changelog and Release Notes
• API docs
• Metrics

Configuration

• core-default.xml
• hdfs-default.xml
• mapred-default.xml
• yarn-default.xml
• Deprecated Properties

Apache Hadoop 2.8.3

Apache Hadoop 2.8.3 is a minor release in the 2.x.y release line, building upon the previous stable release 2.8.2.

Here is a short overview of the major features and improvements.

• Common

  • Support async call retry and failover which can be used in async DFS implementation with retry effort.
  • Cross Frame Scripting (XFS) prevention for UIs can be provided through a common servlet filter.
  • S3A improvements: add ability to plug in any AWSCredentialsProvider, support read s3a credentials from hadoop credential provider API in addition to XML configuraiton files, support Amazon STS temporary credentials
  • WASB improvements: adding append API support
  • Build enhancements: replace dev-support with wrappers to Yetus, provide a docker based solution to setup a build environment, remove CHANGES.txt and rework the change log and release notes.
  • Add posixGroups support for LDAP groups mapping service.

• HDFS

  • WebHDFS enhancements: integrate CSRF prevention filter in WebHDFS, support OAuth2 in WebHDFS, disallow/allow snapshots via WebHDFS
  • Allow long-running Balancer to login with keytab
  • Add ReverseXML processor which reconstructs an fsimage from an XML file. This will make it easy to create fsimages for testing, and manually edit fsimages when there is corruption
  • Support nested encryption zones
  • DataNode Lifeline Protocol: an alternative protocol for reporting DataNode liveness. This can prevent the NameNode from incorrectly marking DataNodes as stale or dead in highly overloaded clusters where heartbeat processing is suffering delays.
  • Logging HDFS operation’s caller context into audit logs
  • A new Datanode command for evicting writers which is useful when data node decommissioning is blocked by slow writers.

• YARN

  • NodeManager CPU resource monitoring in Windows.
  • NM shutdown more graceful: NM will unregister to RM immediately rather than waiting for timeout to be LOST (if NM work preserving is not enabled).
  • Add ability to fail a specific AM attempt in scenario of AM attempt get stuck.
  • CallerContext support in YARN audit log.
  • ATS versioning support: a new configuration to indicate timeline service version.

• MAPREDUCE

  • Allow node labels get specified in submitting MR jobs
  • Add a new tool to combine aggregated logs into HAR files

Getting Started

The Hadoop documentation includes the information you need to get started using Hadoop. Begin with the Single Node Setup which shows you how to set up a single-node Hadoop installation. Then move on to the Cluster Setup to learn how to set up a multi-node Hadoop installation.