Jason Lowe 4f6a367166 YARN-1769. CapacityScheduler: Improve reservations. Contributed by Thomas Graves 10 anos atrás
..
bin 10a82e54da YARN-2131. Addendum. Add a way to format the RMStateStore. (Robert Kanter via kasha) 11 anos atrás
conf 914c871296 YARN-1982. Renamed the daemon name to be TimelineServer instead of History Server and deprecated the old usage. Contributed by Zhijie Shen. 11 anos atrás
dev-support 4f6a367166 YARN-1769. CapacityScheduler: Improve reservations. Contributed by Thomas Graves 10 anos atrás
hadoop-yarn-api 5d251d99d6 YARN-2102. Added the concept of a Timeline Domain to handle read/write ACLs on Timeline service event data. Contributed by Zhijie Shen. 11 anos atrás
hadoop-yarn-applications 514bfeafd9 YARN-1779. Fixed AMRMClient to handle AMRMTokens correctly across ResourceManager work-preserving-restart or failover. Contributed by Jian He. 11 anos atrás
hadoop-yarn-client cb08ed1484 YARN-668. Changed NMTokenIdentifier/AMRMTokenIdentifier/ContainerTokenIdentifier to use protobuf object as the payload. Contributed by Junping Du. 11 anos atrás
hadoop-yarn-common cb08ed1484 YARN-668. Changed NMTokenIdentifier/AMRMTokenIdentifier/ContainerTokenIdentifier to use protobuf object as the payload. Contributed by Junping Du. 11 anos atrás
hadoop-yarn-server 4f6a367166 YARN-1769. CapacityScheduler: Improve reservations. Contributed by Thomas Graves 10 anos atrás
hadoop-yarn-site 6f5d555ad0 YARN-2372. There are Chinese Characters in the FairScheduler's document (Fengdong Yu via aw) 11 anos atrás
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 12 anos atrás
pom.xml 9133e3142c Preparing for 2.6.0 development. Updated versions. 11 anos atrás

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