Arun Murthy 69d9fa75bc Merge -c r1381868 from trunk to branch-2 to fix YARN-80. Add support for delaying rack-local containers in CapacityScheduler. Contributed by Arun C. Murthy. 12 年之前
..
bin 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 12 年之前
conf 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 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. 12 年之前
hadoop-yarn-api 445a340593 YARN-75. Modified ResourceManager's RMContainer to handle a valid RELEASE event at RUNNING state. Contributed by Siddharth Seth. 12 年之前
hadoop-yarn-applications e7082c371b YARN-83. Change package of YarnClient to org.apache.hadoop. Contributed by Bikas Saha. 12 年之前
hadoop-yarn-client e7082c371b YARN-83. Change package of YarnClient to org.apache.hadoop. Contributed by Bikas Saha. 12 年之前
hadoop-yarn-common 7301174579 YARN-15. Updated default classpath for YARN applications to reflect split of YARN into a sub-project. Contributed by Arun C Murthy. 12 年之前
hadoop-yarn-server 69d9fa75bc Merge -c r1381868 from trunk to branch-2 to fix YARN-80. Add support for delaying rack-local containers in CapacityScheduler. Contributed by Arun C. Murthy. 12 年之前
hadoop-yarn-site e94632c765 merge -r 1374423:1374424 from trunk. FIXES: YARN-25 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. 12 年之前
pom.xml 00874120d2 merge YARN-29 from trunk. Add a yarn-client module. (Contributed by Vinod Kumar Vavilapalli) 12 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