Daniel Templeton 6209e4c913 YARN-6334. TestRMFailover#testAutomaticFailover always passes even when it should fail %!s(int64=8) %!d(string=hai) anos
..
bin 9f4b3eaac0 Revert "HADOOP-12366. expose calculated paths (aw)" %!s(int64=9) %!d(string=hai) anos
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. %!s(int64=10) %!d(string=hai) anos
dev-support 1309accd68 YARN-5864. Capacity Scheduler - Queue Priorities. (wangda) %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-api 19c5b3d622 YARN-6228: EntityGroupFSTimelineStore should allow configurable cache %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-applications 88597991b0 YARN-5257. Fix unreleased resources and null dereferences (yufeigu via rkanter) %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-client 6209e4c913 YARN-6334. TestRMFailover#testAutomaticFailover always passes even when it should fail %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-common 8b31ff6dba YARN-6294. ATS client should better handle Socket closed case. Contributed by Li Lu. %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-registry 9f9ccb2784 YARN-6332. Make RegistrySecurity use short user names for ZK ACLs. Contributed by Billie Rinaldi %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-server d4bba011cc YARN-6284. hasAlreadyRun should be final in ResourceManager.StandByTransitionRunnable %!s(int64=8) %!d(string=hai) anos
hadoop-yarn-site f7177d91d6 YARN-6309. Fair scheduler docs should have the queue and queuePlacementPolicy %!s(int64=8) %!d(string=hai) anos
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) %!s(int64=11) %!d(string=hai) anos
pom.xml 269401dc83 HADOOP-13544. JDiff reports unncessarily show unannotated APIs and cause confusion while our javadocs only show annotated and public APIs. (vinodkv via wangda) %!s(int64=8) %!d(string=hai) anos

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