Tsuyoshi Ozawa cf5c1adf4f YARN-2336. Fair scheduler's REST API returns a missing '[' bracket JSON for deep queue tree. Contributed by Kenji Kikushima and Akira Ajisaka. 10 years ago
..
bin a665b22cfa YARN-3681. yarn cmd says "could not find main class 'queue'" in windows. Contributed by Craig Welch and Varun Saxena 10 years ago
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 years ago
dev-support 9692bcc2c8 YARN-3319. Implement a FairOrderingPolicy. (Craig Welch via wangda) 10 years ago
hadoop-yarn-api b5ba6979b7 YARN-3583. Support of NodeLabel object instead of plain String in YarnClient side. (Sunil G via wangda) 10 years ago
hadoop-yarn-applications adb90c7f52 YARN-2821. Fixed a problem that DistributedShell AM may hang if restarted. Contributed by Varun Vasudev 10 years ago
hadoop-yarn-client 157ecb2241 YARN-3646. Applications are getting stuck some times in case of retry 10 years ago
hadoop-yarn-common 84245ff3b2 YARN-2238. Filtering on UI sticks even if I move away from the page. 10 years ago
hadoop-yarn-registry bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 years ago
hadoop-yarn-server cf5c1adf4f YARN-2336. Fair scheduler's REST API returns a missing '[' bracket JSON for deep queue tree. Contributed by Kenji Kikushima and Akira Ajisaka. 10 years ago
hadoop-yarn-site cf5c1adf4f YARN-2336. Fair scheduler's REST API returns a missing '[' bracket JSON for deep queue tree. Contributed by Kenji Kikushima and Akira Ajisaka. 10 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