Vinod Kumar Vavilapalli b42cd54d7a YARN-2493. Added user-APIs for using node-labels. Contributed by Wangda Tan. 10 years ago
..
bin b616c69835 YARN-2179. [YARN-1492] Initial cache manager structure and context. (Chris Trezzo via kasha) 10 years ago
conf 914c871296 YARN-1982. Renamed the daemon name to be TimelineServer instead of History Server and deprecated the old usage. Contributed by Zhijie Shen. 11 years ago
dev-support d218ab58fc YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 years ago
hadoop-yarn-api b42cd54d7a YARN-2493. Added user-APIs for using node-labels. Contributed by Wangda Tan. 10 years ago
hadoop-yarn-applications 4b50e23271 YARN-2630. Prevented previous AM container status from being acquired by the current restarted AM. Contributed by Jian He. 10 years ago
hadoop-yarn-client ae0f16ccc8 YARN-2576. Making test patch pass in branch. Contributed by Subru Krishnan and Carlo Curino. 10 years ago
hadoop-yarn-common b42cd54d7a YARN-2493. Added user-APIs for using node-labels. Contributed by Wangda Tan. 10 years ago
hadoop-yarn-registry d218ab58fc YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 years ago
hadoop-yarn-server 5e6f86e3aa YARN-2649. Fixed TestAMRMRPCNodeUpdates test failure. Contributed by Ming Ma 10 years ago
hadoop-yarn-site d218ab58fc YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 years ago
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml d218ab58fc YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 years ago

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