Jason Lowe c31e3ba921 YARN-3990. AsyncDispatcher may overloaded with RMAppNodeUpdateEvent when Node is connected/disconnected. Contributed by Bibin A Chundatt 10 年之前
..
bin f7ba3c0045 HADOOP-12116. Fix unrecommended syntax usages in hadoop/hdfs/yarn script for cygwin in branch-2. Contributed by Li Lu. 10 年之前
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 年之前
dev-support 9692bcc2c8 YARN-3319. Implement a FairOrderingPolicy. (Craig Welch via wangda) 10 年之前
hadoop-yarn-api 0e7c88347e YARN-3958. TestYarnConfigurationFields should be moved to hadoop-yarn-api module. Contributed by Varun Saxena. 10 年之前
hadoop-yarn-applications 6f50a6a456 YARN-3950. Add unique SHELL_ID environment variable to DistributedShell. Contributed by Robert Kanter 10 年之前
hadoop-yarn-client 0ba2defb9e YARN-3381. Fix typo InvalidStateTransitonException. Contributed by Brahma Reddy Battula. 10 年之前
hadoop-yarn-common a28e23d049 YARN-3963. AddNodeLabel on duplicate label addition shows success. (Bibin A Chundatt via wangda) 10 年之前
hadoop-yarn-registry bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 年之前
hadoop-yarn-server c31e3ba921 YARN-3990. AsyncDispatcher may overloaded with RMAppNodeUpdateEvent when Node is connected/disconnected. Contributed by Bibin A Chundatt 10 年之前
hadoop-yarn-site e97a14ae6f YARN-3805. Update the documentation of Disk Checker based on YARN-90. Contributed by Masatake Iwasaki. 10 年之前
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 12 年之前
pom.xml bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 年之前

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