Alejandro Abdelnur d1893c8f5b MAPREDUCE-3916. various issues with running yarn proxyserver (devaraj via tucu) 13 роки тому
..
bin d05cc8e5cd MAPREDUCE-3989. Cap space usage of default log4j rolling policy. Contributed by Patrick Hunt 13 роки тому
conf 6d551b83de MAPREDUCE-3366. Mapreduce component should use consistent directory structure layout as HDFS/common (Eric Yang via mahadev) 13 роки тому
dev-support b9fd9e1759 MAPREDUCE-3034. Ensure NodeManager reboots itself on direction from ResourceManager. Contributed by Devaraj K & Eric Payne. 13 роки тому
hadoop-yarn-api db3e592df0 REDUCE-3955. Change MR to use ProtobufRpcEngine from hadoop-common instead of ProtoOverHadoopRpcEngine. (Contributed by Jitendra Nath Pandey) 13 роки тому
hadoop-yarn-applications 67a74198b1 Changed version in trunk to 3.0.0-SNAPSHOT. 13 роки тому
hadoop-yarn-common d1893c8f5b MAPREDUCE-3916. various issues with running yarn proxyserver (devaraj via tucu) 13 роки тому
hadoop-yarn-server db3e592df0 REDUCE-3955. Change MR to use ProtobufRpcEngine from hadoop-common instead of ProtoOverHadoopRpcEngine. (Contributed by Jitendra Nath Pandey) 13 роки тому
hadoop-yarn-site 67a74198b1 Changed version in trunk to 3.0.0-SNAPSHOT. 13 роки тому
README 02ce6b3d07 MAPREDUCE-3014. Rename and invert logic of '-cbuild' profile to 'native' and off by default. Contributed by Alejandro Abdelnur. 13 роки тому
pom.xml 67a74198b1 Changed version in trunk to 3.0.0-SNAPSHOT. 13 роки тому

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