Thomas White d488a59497 Merge -r 1407657:1407658 from trunk to branch-2. Fixes: HADOOP-8860. Split MapReduce and YARN sections in documentation navigation. 12 年之前
..
bin 8792f157a4 YARN-40. Provided support for missing YARN commands Contributed by Devaraj K and Vinod Kumar Vavilapalli. 13 年之前
conf e49fb14997 YARN-181. Fixed eclipse settings broken by capacity-scheduler.xml move via YARN-140. Contributed by Siddharth Seth. 12 年之前
dev-support 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 13 年之前
hadoop-yarn-api b98a3a3787 merge YARN-134 from trunk. Fixes ClientToAMSecretManager creates keys without checking for validity of the appID. (Contributed by Vinod Kumar Vavilapalli) 13 年之前
hadoop-yarn-applications 243966374b merge YARN-179 from trunk. Fix some unit test failures. (Contributed by Vinod Kumar Vavilapalli) 12 年之前
hadoop-yarn-client 243966374b merge YARN-179 from trunk. Fix some unit test failures. (Contributed by Vinod Kumar Vavilapalli) 12 年之前
hadoop-yarn-common fdf831f4fb svn merge -c 1406269 FIXES: YARN-202. Log Aggregation generates a storm of fsync() for namenode (Kihwal Lee via bobby) 12 年之前
hadoop-yarn-server f7f9924ef8 YARN-206. TestApplicationCleanup.testContainerCleanup occasionally fails. (jlowe via jeagles) 12 年之前
hadoop-yarn-site d488a59497 Merge -r 1407657:1407658 from trunk to branch-2. Fixes: HADOOP-8860. Split MapReduce and YARN sections in documentation navigation. 12 年之前
README 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 13 年之前
pom.xml ac103a4314 HADOOP-8755. Print thread dump when tests fail due to timeout. Contributed by Andrey Klochkov. 13 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 2.4.0a or higher (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)
Installing protoc requires gcc 4.1.x or higher.
If the make step fails with (Valid until a fix is released for protobuf 2.4.0a)
./google/protobuf/descriptor.h:1152: error:
`google::protobuf::internal::Mutex*google::protobuf::DescriptorPool::mutex_'
is private
Replace descriptor.cc with http://protobuf.googlecode.com/svn-history/r380/trunk/src/google/protobuf/descriptor.cc


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