Jian He f9da5cdb2b YARN-4170. AM need to be notified with priority in AllocateResponse. Contributed by Sunil G 9 lat temu
..
bin 666cafca8d HADOOP-12249. pull argument parsing into a function (aw) 9 lat temu
conf 43d5caef5e HADOOP-11460. Deprecate shell vars (John Smith via aw) 10 lat temu
dev-support 395205444e YARN-3319. Implement a FairOrderingPolicy. (Craig Welch via wangda) 10 lat temu
hadoop-yarn-api f9da5cdb2b YARN-4170. AM need to be notified with priority in AllocateResponse. Contributed by Sunil G 9 lat temu
hadoop-yarn-applications 2b2bd92146 YARN-3950. Add unique SHELL_ID environment variable to DistributedShell. Contributed by Robert Kanter 9 lat temu
hadoop-yarn-client a0bca2b5ad YARN-261. Ability to fail AM attempts. Contributed by Andrey Klochkov and Rohith Sharma K S 9 lat temu
hadoop-yarn-common f9da5cdb2b YARN-4170. AM need to be notified with priority in AllocateResponse. Contributed by Sunil G 9 lat temu
hadoop-yarn-registry 0eb9b19325 HADOOP-12369. Point hadoop-project/pom.xml java.security.krb5.conf within target folder. 9 lat temu
hadoop-yarn-server f9da5cdb2b YARN-4170. AM need to be notified with priority in AllocateResponse. Contributed by Sunil G 9 lat temu
hadoop-yarn-site ae5308fe1d YARN-3717. Expose app/am/queue's node-label-expression to RM web UI / CLI / REST-API. (Naganarasimha G R via wangda) 9 lat temu
shellprofile.d 01bfe6f05b HADOOP-11653. shellprofiles should require .sh extension (Brahma Reddy Battula via aw) 10 lat temu
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 lat temu
pom.xml 241a72af0d YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 lat temu

README

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

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

Setup
-----
Install protobuf 2.5.0 (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)


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