Sunil G da0b6a354b YARN-7137. [YARN-3926] Move newly added APIs to unstable in YARN-3926 branch. Contributed by Wangda Tan. 7 лет назад
..
bin 1a1bf6b7d0 HADOOP-13595. Rework hadoop_usage to be broken up by clients/daemons/etc. Contributed by Allen Wittenauer. 7 лет назад
conf 433ee44b58 YARN-6691. Update YARN daemon startup/shutdown scripts to include Router service. (Giovanni Matteo Fumarola via asuresh). 7 лет назад
dev-support bf2b687412 YARN-7136. Additional Performance Improvement for Resource Profile Feature 7 лет назад
hadoop-yarn-api da0b6a354b YARN-7137. [YARN-3926] Move newly added APIs to unstable in YARN-3926 branch. Contributed by Wangda Tan. 7 лет назад
hadoop-yarn-applications e490602e9b YARN-7039. Fix javac and javadoc errors in YARN-3926 branch. (Sunil G via wangda) 7 лет назад
hadoop-yarn-client e490602e9b YARN-7039. Fix javac and javadoc errors in YARN-3926 branch. (Sunil G via wangda) 7 лет назад
hadoop-yarn-common bf2b687412 YARN-7136. Additional Performance Improvement for Resource Profile Feature 7 лет назад
hadoop-yarn-registry 0d419c984f Preparing for 3.1.0 development 7 лет назад
hadoop-yarn-server da0b6a354b YARN-7137. [YARN-3926] Move newly added APIs to unstable in YARN-3926 branch. Contributed by Wangda Tan. 7 лет назад
hadoop-yarn-site 6b88cd1901 YARN-7056. Document Resource Profiles feature. (Sunil G via wangda) 7 лет назад
hadoop-yarn-ui ab8368d2e0 YARN-7104. Improve Nodes Heatmap in new YARN UI with better color coding. Contributed by Da Ding. 7 лет назад
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 лет назад
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 лет назад
pom.xml 0d419c984f Preparing for 3.1.0 development 7 лет назад

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