Arun Suresh c725b97df6 YARN-4412. Create ClusterMonitor to compute ordered list of preferred NMs for OPPORTUNITIC containers (asuresh) 9 rokov pred
..
bin 0a74610d1c HADOOP-11393. Revert HADOOP_PREFIX, go back to HADOOP_HOME (aw) 9 rokov pred
conf 43d5caef5e HADOOP-11460. Deprecate shell vars (John Smith via aw) 10 rokov pred
dev-support f4a57d4a53 YARN-4617. LeafQueue#pendingOrderingPolicy should always use fixed ordering policy instead of using same as active applications ordering policy. Contributed by Rohith Sharma K S 9 rokov pred
hadoop-yarn-api c725b97df6 YARN-4412. Create ClusterMonitor to compute ordered list of preferred NMs for OPPORTUNITIC containers (asuresh) 9 rokov pred
hadoop-yarn-applications e6c0742012 YARN-4965. Distributed shell AM failed due to ClientHandlerException thrown by jersey. Contributed by Junping Du 9 rokov pred
hadoop-yarn-client 8ffabfdf4f YARN-4335. Allow ResourceRequests to specify ExecutionType of a request ask (kkaranasos via asuresh) 9 rokov pred
hadoop-yarn-common c725b97df6 YARN-4412. Create ClusterMonitor to compute ordered list of preferred NMs for OPPORTUNITIC containers (asuresh) 9 rokov pred
hadoop-yarn-registry 1ff27f9d12 YARN-4630. Remove useless boxing/unboxing code. Contributed by Kousuke Saruta. 9 rokov pred
hadoop-yarn-server c725b97df6 YARN-4412. Create ClusterMonitor to compute ordered list of preferred NMs for OPPORTUNITIC containers (asuresh) 9 rokov pred
hadoop-yarn-site cab9cbaa0a YARN-4468. Document the general ReservationSystem functionality, and the REST API. (subru and carlo via asuresh) 9 rokov pred
shellprofile.d 01bfe6f05b HADOOP-11653. shellprofiles should require .sh extension (Brahma Reddy Battula via aw) 10 rokov pred
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 rokov pred
pom.xml 241a72af0d YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 rokov pred

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