~~ Licensed under the Apache License, Version 2.0 (the "License"); ~~ you may not use this file except in compliance with the License. ~~ You may obtain a copy of the License at ~~ ~~ http://www.apache.org/licenses/LICENSE-2.0 ~~ ~~ Unless required by applicable law or agreed to in writing, software ~~ distributed under the License is distributed on an "AS IS" BASIS, ~~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ~~ See the License for the specific language governing permissions and ~~ limitations under the License. See accompanying LICENSE file. --- Apache Hadoop ${project.version} --- --- ${maven.build.timestamp} Apache Hadoop ${project.version} Apache Hadoop ${project.version} is a minor release in the 2.x.y release line, building upon the previous stable release 2.4.1. Here is a short overview of the major features and improvements. * {Common} * Authentication improvements when using an HTTP proxy server. This is useful when accessing WebHDFS via a proxy server. * A new Hadoop metrics sink that allows writing directly to Graphite. * {{{./hadoop-project-dist/hadoop-common/filesystem/index.html}Specification work}} related to the Hadoop Compatible Filesystem (HCFS) effort. * {HDFS} * Support for POSIX-style filesystem extended attributes. See the {{{./hadoop-project-dist/hadoop-hdfs/ExtendedAttributes.html}user documentation}} for more details. * Using the OfflineImageViewer, clients can now browse an fsimage via the WebHDFS API. * The NFS gateway received a number of supportability improvements and bug fixes. The Hadoop portmapper is no longer required to run the gateway, and the gateway is now able to reject connections from unprivileged ports. * The SecondaryNameNode, JournalNode, and DataNode web UIs have been modernized with HTML5 and Javascript. * {YARN} * YARN's REST APIs now support write/modify operations. Users can submit and kill applications through REST APIs. * The timeline store in YARN, used for storing generic and application-specific information for applications, supports authentication through Kerberos. * The Fair Scheduler supports dynamic hierarchical user queues, user queues are created dynamically at runtime under any specified parent-queue. Getting Started The Hadoop documentation includes the information you need to get started using Hadoop. Begin with the {{{./hadoop-project-dist/hadoop-common/SingleCluster.html}Single Node Setup}} which shows you how to set up a single-node Hadoop installation. Then move on to the {{{./hadoop-project-dist/hadoop-common/ClusterSetup.html}Cluster Setup}} to learn how to set up a multi-node Hadoop installation.