Varun Vasudev 19d894538d YARN-5459. Add support for docker rm. Contributed by Shane Kumpf. 8 gadi atpakaļ
..
bin 9f4b3eaac0 Revert "HADOOP-12366. expose calculated paths (aw)" 9 gadi atpakaļ
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 gadi atpakaļ
dev-support e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 gadi atpakaļ
hadoop-yarn-api f197378f81 YARN-5113. Refactoring and other clean-up for distributed scheduling. (Konstantinos Karanasos via asuresh) 8 gadi atpakaļ
hadoop-yarn-applications 7db796562c Fix OOM issue in DistributedShell. Contributed by Jian He. 9 gadi atpakaļ
hadoop-yarn-client 7e213844a7 YARN-5226. Remove AHS enable check from LogsCLI#fetchAMContainerLogs. Contributed by Xuan Gong. 8 gadi atpakaļ
hadoop-yarn-common f197378f81 YARN-5113. Refactoring and other clean-up for distributed scheduling. (Konstantinos Karanasos via asuresh) 8 gadi atpakaļ
hadoop-yarn-registry ea10e1384f HADOOP-13382. Remove unneeded commons-httpclient dependencies from POM files in Hadoop and sub-projects, while adding it in to the only place it is still needed, hadoop-openstack. Contributed by Matt Foley. 8 gadi atpakaļ
hadoop-yarn-server 19d894538d YARN-5459. Add support for docker rm. Contributed by Shane Kumpf. 8 gadi atpakaļ
hadoop-yarn-site 516aa58c1b YARN-5286. Add RPC port info in RM web service's response when getting app status. (Jun Gong via Varun Saxena). 9 gadi atpakaļ
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 gadi atpakaļ
pom.xml e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 gadi atpakaļ

README

YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
------------------------------------------------------------------------------

Requirements
-------------
Java: JDK 1.6
Maven: Maven 3

Setup
-----
Install protobuf 2.5.0 (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)


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