hadoop/hadoop-yarn-project/hadoop-yarn
2013-07-17 20:19:49 +00:00
..
bin YARN-823. Moved RMAdmin from yarn.client to yarn.client.cli and renamed it to be RMAdminCLI. Contributed by Jian He. 2013-06-16 21:42:59 +00:00
conf HADOOP-8952. Enhancements to support Hadoop on Windows Server and Windows Azure environments. Contributed by Ivan Mitic, Chuan Liu, Ramya Sunil, Bikas Saha, Kanna Karanam, John Gordon, Brandon Li, Chris Nauroth, David Lao, Sumadhur Reddy Bolli, Arpit Agarwal, Ahmed El Baz, Mike Liddell, Jing Zhao, Thejas Nair, Steve Maine, Ganeshan Iyer, Raja Aluri, Giridharan Kesavan, Ramya Bharathi Nimmagadda. 2013-03-06 19:15:18 +00:00
dev-support YARN-530. Defined Service model strictly, implemented AbstractService for robust subclassing and migrated yarn-common services. Contributed by Steve Loughran. 2013-06-13 15:54:38 +00:00
hadoop-yarn-api YARN-912. Move client facing exceptions to yarn-api module. Contributed by Mayank Bansal. 2013-07-17 07:31:33 +00:00
hadoop-yarn-applications YARN-927. Change ContainerRequest to not have more than 1 container count and remove StoreContainerRequest (bikas) 2013-07-17 00:47:46 +00:00
hadoop-yarn-client YARN-927. Change ContainerRequest to not have more than 1 container count and remove StoreContainerRequest (bikas) 2013-07-17 00:47:46 +00:00
hadoop-yarn-common YARN-513. Create common proxy client for communicating with RM (Xuan Gong & Jian He via bikas) 2013-07-16 22:47:40 +00:00
hadoop-yarn-server YARN-922. Change FileSystemRMStateStore to use directories (Jian He via bikas) 2013-07-17 20:19:49 +00:00
hadoop-yarn-site YARN-736. Add a multi-resource fair sharing metric. (sandyr via tucu) 2013-06-24 18:33:45 +00:00
pom.xml HADOOP-9290. Some tests cannot load native library on windows. Contributed by Chris Nauroth. 2013-04-27 14:24:02 +00:00
README YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 2012-08-08 05:22:27 +00:00

YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
------------------------------------------------------------------------------

Requirements
-------------
Java: JDK 1.6
Maven: Maven 3

Setup
-----
Install protobuf 2.4.0a or higher (Download from http://code.google.com/p/protobuf/downloads/list)
 - install the protoc executable (configure, make, make install)
 - install the maven artifact (cd java; mvn install)
Installing protoc requires gcc 4.1.x or higher.
If the make step fails with (Valid until a fix is released for protobuf 2.4.0a)
    ./google/protobuf/descriptor.h:1152: error:
    `google::protobuf::internal::Mutex*google::protobuf::DescriptorPool::mutex_'
    is private
  Replace descriptor.cc with http://protobuf.googlecode.com/svn-history/r380/trunk/src/google/protobuf/descriptor.cc


Quick Maven Tips
----------------
clean workspace: mvn clean
compile and test: mvn install
skip tests: mvn install -DskipTests
skip test execution but compile: mvn install -Dmaven.test.skip.exec=true
clean and test: mvn clean install
run selected test after compile: mvn test -Dtest=TestClassName (combined: mvn clean install -Dtest=TestClassName)
create runnable binaries after install: mvn assembly:assembly -Pnative (combined: mvn clean install assembly:assembly -Pnative)

Eclipse Projects
----------------
http://maven.apache.org/guides/mini/guide-ide-eclipse.html

1. Generate .project and .classpath files in all maven modules
mvn eclipse:eclipse
CAUTION: If the project structure has changed from your previous workspace, clean up all .project and .classpath files recursively. Then run:
mvn eclipse:eclipse

2. Import the projects in eclipse.

3. Set the environment variable M2_REPO to point to your .m2/repository location.

NetBeans Projects
-----------------

NetBeans has builtin support of maven projects. Just "Open Project..."
and everything is setup automatically. Verified with NetBeans 6.9.1.


Custom Hadoop Dependencies
--------------------------

By default Hadoop dependencies are specified in the top-level pom.xml
properties section. One can override them via -Dhadoop-common.version=...
on the command line. ~/.m2/settings.xml can also be used to specify
these properties in different profiles, which is useful for IDEs.

Modules
-------
YARN consists of multiple modules. The modules are listed below as per the directory structure:

hadoop-yarn-api - Yarn's cross platform external interface

hadoop-yarn-common - Utilities which can be used by yarn clients and server

hadoop-yarn-server - Implementation of the hadoop-yarn-api
	hadoop-yarn-server-common - APIs shared between resourcemanager and nodemanager
	hadoop-yarn-server-nodemanager (TaskTracker replacement)
	hadoop-yarn-server-resourcemanager (JobTracker replacement)

Utilities for understanding the code
------------------------------------
Almost all of the yarn components as well as the mapreduce framework use
state-machines for all the data objects. To understand those central pieces of
the code, a visual representation of the state-machines helps much. You can first
convert the state-machines into graphviz(.gv) format by
running:
   mvn compile -Pvisualize
Then you can use the dot program for generating directed graphs and convert the above
.gv files to images. The graphviz package has the needed dot program and related
utilites.For e.g., to generate png files you can run:
   dot -Tpng NodeManager.gv > NodeManager.png