hadoop/hadoop-yarn-project/hadoop-yarn
2013-05-09 22:15:58 +00:00
..
bin HADOOP-9379. capture the ulimit info after printing the log to the console. Contributed by Arpit Gupta. 2013-03-11 20:31:17 +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-539. Addressed memory leak of LocalResource objects NM when a resource localization fails. Contributed by Omkar Vinit Joshi. 2013-04-11 02:08:11 +00:00
hadoop-yarn-api YARN-630. Changed AMRMProtocol api to throw IOException and YarnRemoteException. Contributed by Xuan Gong. 2013-05-09 05:32:04 +00:00
hadoop-yarn-applications YARN-630. Changed AMRMProtocol api to throw IOException and YarnRemoteException. Contributed by Xuan Gong. 2013-05-09 05:32:04 +00:00
hadoop-yarn-client YARN-630. Changed AMRMProtocol api to throw IOException and YarnRemoteException. Contributed by Xuan Gong. 2013-05-09 05:32:04 +00:00
hadoop-yarn-common YARN-630. Changed AMRMProtocol api to throw IOException and YarnRemoteException. Contributed by Xuan Gong. 2013-05-09 05:32:04 +00:00
hadoop-yarn-server YARN-655. Fair scheduler metrics should subtract allocated memory from available memory. (sandyr via tucu) 2013-05-09 22:15:58 +00:00
hadoop-yarn-site YARN-646. Fix two typos in Fair Scheduler user guide. Contributed by Dapeng Sun. 2013-05-08 17:17:43 +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