Wangda Tan c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
..
bin 81a7ad45c9 HADOOP-12366. expose calculated paths (aw) 9 years ago
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 years ago
dev-support c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
hadoop-yarn-api c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
hadoop-yarn-applications 875aec3177 YARN-1509. Make AMRMClient support send increase container request and get increased/decreased containers. (Meng Ding via wangda) 9 years ago
hadoop-yarn-client c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
hadoop-yarn-common c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
hadoop-yarn-registry 7d833a3058 HADOOP-12369. Point hadoop-project/pom.xml java.security.krb5.conf within target folder. 9 years ago
hadoop-yarn-server c4b1386b4e YARN-4225. Add preemption status to yarn queue -status for capacity scheduler. (Eric Payne via wangda) 9 years ago
hadoop-yarn-site 59c892683f YARN-4434. NodeManager Disk Checker parameter documentation is not correct. Contributed by Weiwei Yang. 9 years ago
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 years ago

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