Vinod Kumar Vavilapalli 40062e1aaa Fix NodeManager to verify the application's user-name. %!s(int64=13) %!d(string=hai) anos
..
bin 8912aac81e YARN-9. Rename YARN_HOME to HADOOP_YARN_HOME. Contributed by Vinod K V. %!s(int64=13) %!d(string=hai) anos
conf 8912aac81e YARN-9. Rename YARN_HOME to HADOOP_YARN_HOME. Contributed by Vinod K V. %!s(int64=13) %!d(string=hai) anos
dev-support e1fdf62123 YARN-1. Promote YARN to be a sub-project of Apache Hadoop. %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-api 050fd3a117 MAPREDUCE-4647. We should only unjar jobjar if there is a lib directory in it. (Robert Evans via tgraves) %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-applications 11cf00b08a YARN-78. Changed UnManagedAM application to use YarnClient. Contributed by Bikas Saha. %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-client 87c5d243db YARN-83. Change package of YarnClient to org.apache.hadoop. Contributed by Bikas Saha. %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-common 40062e1aaa Fix NodeManager to verify the application's user-name. %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-server 40062e1aaa Fix NodeManager to verify the application's user-name. %!s(int64=13) %!d(string=hai) anos
hadoop-yarn-site 8912aac81e YARN-9. Rename YARN_HOME to HADOOP_YARN_HOME. Contributed by Vinod K V. %!s(int64=13) %!d(string=hai) anos
README e1fdf62123 YARN-1. Promote YARN to be a sub-project of Apache Hadoop. %!s(int64=13) %!d(string=hai) anos
pom.xml d8e386f01a HADOOP-8755. Print thread dump when tests fail due to timeout. Contributed by Andrey Klochkov. %!s(int64=13) %!d(string=hai) anos

README

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