hadoop/hadoop-mapreduce-project/hadoop-yarn
Thomas Graves eb0311aedc merge -r 1301730:1301731 from trunk to branch-0.23. FIXES: MAPREDUCE-4006
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/branches/branch-0.23@1301734 13f79535-47bb-0310-9956-ffa450edef68
2012-03-16 20:14:45 +00:00
..
bin Merge -r 1298940:1298941 from trunk to branch-0.23. Fixes: MAPREDUCE-3578 2012-03-09 17:38:10 +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 MAPREDUCE-3792. Fix "bin/mapred job -list" to display all jobs instead of only the jobs owned by the user. Contributed by Jason Lowe. 2012-03-03 23:42:39 +00:00
hadoop-yarn-applications Merge -r 1295177:1295178 from trunk to branch. FIXES: MAPREDUCE-3933 2012-02-29 16:21:42 +00:00
hadoop-yarn-common merge -r 1301730:1301731 from trunk to branch-0.23. FIXES: MAPREDUCE-4006 2012-03-16 20:14:45 +00:00
hadoop-yarn-server merge MAPREDUCE-4005 from trunk 2012-03-16 18:48:57 +00:00
hadoop-yarn-site HDFS-1623. Merging change r1296534 from trunk to 0.23 2012-03-11 17:55:58 +00:00
README Merge -r 1180115:1180116 from trunk to branch. FIXES: MAPREDUCE-3014 2011-10-28 21:34:14 +00:00
pom.xml Merge r1293501 through r1293896 from 0.23. 2012-02-26 17:58:14 +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