Arun Murthy c6e7c24bde Merge -c 1241250 from trunk to branch-0.23 to fix MAPREDUCE-3354. Changed scripts so that jobhistory server is started by bin/mapred instead of bin/yarn. Contributed by Jonathan Eagles. 13 gadi atpakaļ
..
bin c6e7c24bde Merge -c 1241250 from trunk to branch-0.23 to fix MAPREDUCE-3354. Changed scripts so that jobhistory server is started by bin/mapred instead of bin/yarn. Contributed by Jonathan Eagles. 13 gadi atpakaļ
conf e0657fb161 MAPREDUCE-3366. Mapreduce component should use consistent directory structure layout as HDFS/common (Eric Yang via mahadev) - Merging r1215065 from trunk 13 gadi atpakaļ
dev-support 4eb850ceb7 MAPREDUCE-3765. FifoScheduler does not respect yarn.scheduler.fifo.minimum-allocation-mb setting (Hitesh Shah via mahadev) - Merging r1240634 from trunk. 13 gadi atpakaļ
hadoop-yarn-api caea6d2e85 Merge -c 1241205 from trunk to branch-0.23 to fix MAPREDUCE-3810. Performance tweaks - reduced logging in AM and defined hascode/equals for ResourceRequest & Priority. 13 gadi atpakaļ
hadoop-yarn-applications e3e457398e Merge -r 1227786:1227787 from trunk to branch. FIXES: HADOOP-7934 13 gadi atpakaļ
hadoop-yarn-common 5a34d78282 svn merge -c 1241225 fixes MAPREDUCE-3804 13 gadi atpakaļ
hadoop-yarn-server 3f78abc546 Merge -c 1240886 from trunk to branch-0.23 to fix MAPREDUCE-3746. Initialize queue metrics upfront and added start/finish time to RM Web-UI. 13 gadi atpakaļ
hadoop-yarn-site c6e7c24bde Merge -c 1241250 from trunk to branch-0.23 to fix MAPREDUCE-3354. Changed scripts so that jobhistory server is started by bin/mapred instead of bin/yarn. Contributed by Jonathan Eagles. 13 gadi atpakaļ
README 2d06ac8a28 Merge -r 1180115:1180116 from trunk to branch. FIXES: MAPREDUCE-3014 13 gadi atpakaļ
pom.xml e3e457398e Merge -r 1227786:1227787 from trunk to branch. FIXES: HADOOP-7934 13 gadi atpakaļ

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