Jian He 519e5a7dd2 YARN-2644. Fixed CapacityScheduler to return up-to-date headroom when AM allocates. Contributed by Craig Welch 10 years ago
..
bin 17d1202c35 YARN-2179. [YARN-1492] Initial cache manager structure and context. (Chris Trezzo via kasha) 10 years ago
conf 0c8aec43f0 YARN-2438. yarn-env.sh cleanup (aw) 10 years ago
dev-support 9c22065109 YARN-1769. CapacityScheduler: Improve reservations. Contributed by Thomas Graves 10 years ago
hadoop-yarn-api c8212bacb1 YARN-1051. Add a system for creating reservations of cluster capacity. 10 years ago
hadoop-yarn-applications 52bbe0f11b YARN-2630. Prevented previous AM container status from being acquired by the current restarted AM. Contributed by Jian He. 10 years ago
hadoop-yarn-client 5e10a13bb4 YARN-2576. Making test patch pass in branch. Contributed by Subru Krishnan and Carlo Curino. 10 years ago
hadoop-yarn-common ea26cc0b4a YARN-2615. Changed ClientToAMTokenIdentifier/RM(Timeline)DelegationTokenIdentifier to use protobuf as payload. Contributed by Junping Du 10 years ago
hadoop-yarn-server 519e5a7dd2 YARN-2644. Fixed CapacityScheduler to return up-to-date headroom when AM allocates. Contributed by Craig Welch 10 years ago
hadoop-yarn-site ba7f31c2ee YARN-1972. Added a secure container-executor for Windows. Contributed by Remus Rusanu. 10 years ago
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml 4c197b5d56 HADOOP-10167. Mark hadoop-common source as UTF-8 in Maven pom files / refactoring. Contributed by Mikhail Antonov. 11 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