Jian He 21b5ec140a Merge r1580154 from trunk. YARN-1776. Fixed DelegationToken renewal to survive RM failover. Contributed by Zhijie Shen 11 年之前
..
bin 593ef7b228 YARN-1429. *nix: Allow a way for users to augment classpath of YARN daemons. (Jarek Jarcec Cecho via kasha) 11 年之前
conf 8b6b88f0fa YARN-1242. Changed yarn scripts to be able to start ApplicationHistoryServer as an individual process. Contributed by Mayank Bansal. 11 年之前
dev-support 0c6db6af6e YARN-1512. Enhanced CapacityScheduler to be able to decouple scheduling from node-heartbeats. Contributed by Arun C Murthy. 11 年之前
hadoop-yarn-api 08a194fb55 YARN-1775. Enhanced ProcfsBasedProcessTree to optionally add the ability to use smaps for obtaining used memory information. Contributed by Rajesh Balamohan. 11 年之前
hadoop-yarn-applications 2f8d99f642 YARN-1855. Made Application-history server to be optional in MiniYARNCluster and thus avoid the failure of TestRMFailover#testRMWebAppRedirect. Contributed by Zhijie Shen. 11 年之前
hadoop-yarn-client b51df9d67d YARN-1863. Fixed test failure in TestRMFailover after YARN-1859. Contributed by Xuan Gong. 11 年之前
hadoop-yarn-common 08a194fb55 YARN-1775. Enhanced ProcfsBasedProcessTree to optionally add the ability to use smaps for obtaining used memory information. Contributed by Rajesh Balamohan. 11 年之前
hadoop-yarn-server 21b5ec140a Merge r1580154 from trunk. YARN-1776. Fixed DelegationToken renewal to survive RM failover. Contributed by Zhijie Shen 11 年之前
hadoop-yarn-site 1bd3b792dd YARN-1570. Fixed formatting of the lines in YarnCommands.apt.vm docs source. Contributed by Akira Ajisaka. 11 年之前
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml 1ccccb8534 Branching for hadoop-2.4 releases, also set version to 2.5.0-SNAPSHOT in branch-2. 11 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