Author: kasha
Date: Tue Jul 29 00:47:57 2014
New Revision: 1614232
URL: http://svn.apache.org/r1614232
Log:
HADOOP-10821. Prepare the release notes for Hadoop 2.5.0. (Andrew Wang and
Karthik Kambatla via kasha)
Modified:
hadoop/common/branches/branch-2/hadoop-project/src/site/apt/index.apt.vm
Modified:
hadoop/common/branches/branch-2/hadoop-project/src/site/apt/index.apt.vm
URL:
http://svn.apache.org/viewvc/hadoop/common/branches/branch-2/hadoop-project/src/site/apt/index.apt.vm?rev=1614232&r1=1614231&r2=1614232&view=diff
==============================================================================
--- hadoop/common/branches/branch-2/hadoop-project/src/site/apt/index.apt.vm
(original)
+++ hadoop/common/branches/branch-2/hadoop-project/src/site/apt/index.apt.vm
Tue Jul 29 00:47:57 2014
@@ -18,48 +18,48 @@
Apache Hadoop ${project.version}
- Apache Hadoop ${project.version} consists of significant
- improvements over the previous stable release (hadoop-1.x).
+ 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 improvments to both HDFS and MapReduce.
+ Here is a short overview of the major features and improvements.
- * {HDFS Federation}
+ * {Common}
- In order to scale the name service horizontally, federation uses multiple
- independent Namenodes/Namespaces. The Namenodes are federated, that is, the
- Namenodes are independent and don't require coordination with each other.
- The datanodes are used as common storage for blocks by all the Namenodes.
- Each datanode registers with all the Namenodes in the cluster. Datanodes
- send periodic heartbeats and block reports and handles commands from the
- Namenodes.
+ * Authentication improvements when using an HTTP proxy server. This is
+ useful when accessing WebHDFS via a proxy server.
- More details are available in the
- {{{./hadoop-project-dist/hadoop-hdfs/Federation.html}HDFS Federation}}
- document.
+ * A new Hadoop metrics sink that allows writing directly to Graphite.
- * {MapReduce NextGen aka YARN aka MRv2}
+ *
{{{./hadoop-project-dist/hadoop-common/filesystem/index.html}Specification
work}}
+ related to the Hadoop Compatible Filesystem (HCFS) effort.
- The new architecture introduced in hadoop-0.23, divides the two major
- functions of the JobTracker: resource management and job life-cycle
management
- into separate components.
+ * {HDFS}
- The new ResourceManager manages the global assignment of compute resources
to
- applications and the per-application ApplicationMaster manages the
- applicationâ scheduling and coordination.
+ * Support for POSIX-style filesystem extended attributes. See the
+ {{{./hadoop-project-dist/hadoop-hdfs/ExtendedAttributes.html}user
documentation}}
+ for more details.
- An application is either a single job in the sense of classic MapReduce jobs
- or a DAG of such jobs.
+ * Using the OfflineImageViewer, clients can now browse an fsimage via
+ the WebHDFS API.
- The ResourceManager and per-machine NodeManager daemon, which manages the
- user processes on that machine, form the computation fabric.
+ * 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 per-application ApplicationMaster is, in effect, a framework specific
- library and is tasked with negotiating resources from the ResourceManager
and
- working with the NodeManager(s) to execute and monitor the tasks.
+ * The SecondaryNameNode, JournalNode, and DataNode web UIs have been
+ modernized with HTML5 and Javascript.
- More details are available in the
- {{{./hadoop-yarn/hadoop-yarn-site/YARN.html}YARN}}
- document.
+ * {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
