hadoop/hadoop-mapreduce-project/hadoop-yarn
Thomas Graves f8f390b83d merge -r 1329693:1329694 from trunk. FIXES: MAPREDUCE-4079
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/branch-2@1329697 13f79535-47bb-0310-9956-ffa450edef68
2012-04-24 13:07:22 +00:00
..
bin svn merge -c 1312003 from trunk. FIXES: MAPREDUCE-4076. Stream job fails with ZipException when use yarn jar command (Devaraj K via bobby) 2012-04-10 21:31:41 +00:00
conf MAPREDUCE-3366. Mapreduce component should use consistent directory structure layout as HDFS/common (Eric Yang via mahadev) - Merging r1215065 from trunk 2011-12-16 09:17:00 +00:00
dev-support Merge -c 1297310 from trunk to branch-0.23 to fix MAPREDUCE-3034. Ensure NodeManager reboots itself on direction from ResourceManager. Contributed by Devaraj K & Eric Payne. 2012-03-06 00:52:58 +00:00
hadoop-yarn-api Merge -r 1325351:1325352 from trunk to branch-2. Fixes: MAPREDUCE-4140 2012-04-12 16:31:15 +00:00
hadoop-yarn-applications svn merge -c 1329282 FIXES: MAPREDUCE-3812. Lower default allocation sizes, fix allocation configurations and document them (Harsh J via bobby) 2012-04-23 15:28:19 +00:00
hadoop-yarn-common merge -r 1329693:1329694 from trunk. FIXES: MAPREDUCE-4079 2012-04-24 13:07:22 +00:00
hadoop-yarn-server svn merge -c 1329282 FIXES: MAPREDUCE-3812. Lower default allocation sizes, fix allocation configurations and document them (Harsh J via bobby) 2012-04-23 15:28:19 +00:00
hadoop-yarn-site svn merge -c 1329282 FIXES: MAPREDUCE-3812. Lower default allocation sizes, fix allocation configurations and document them (Harsh J via bobby) 2012-04-23 15:28:19 +00:00
README
pom.xml Merge -r 1329492:1329493 from trunk to branch. FIXES: MAPREDUCE-4141 2012-04-23 22:33:51 +00:00

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