Vinod Kumar Vavilapalli fe80fd5e88 YARN-2496. Enhanced Capacity Scheduler to have basic support for allocating resources based on node-labels. Contributed by Wangda Tan. 10 yıl önce
..
bin 10a82e54da YARN-2131. Addendum. Add a way to format the RMStateStore. (Robert Kanter via kasha) 11 yıl önce
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 yıl önce
dev-support fe80fd5e88 YARN-2496. Enhanced Capacity Scheduler to have basic support for allocating resources based on node-labels. Contributed by Wangda Tan. 10 yıl önce
hadoop-yarn-api bd45dba807 YARN-2312. Deprecated old ContainerId#getId API and updated MapReduce to use ContainerId#getContainerId instead. Contributed by Tsuyoshi OZAWA 10 yıl önce
hadoop-yarn-applications a4522e90f6 YARN-2629. Made the distributed shell use the domain-based timeline ACLs. Contributed by Zhijie Shen. 10 yıl önce
hadoop-yarn-client bd45dba807 YARN-2312. Deprecated old ContainerId#getId API and updated MapReduce to use ContainerId#getContainerId instead. Contributed by Tsuyoshi OZAWA 10 yıl önce
hadoop-yarn-common bd45dba807 YARN-2312. Deprecated old ContainerId#getId API and updated MapReduce to use ContainerId#getContainerId instead. Contributed by Tsuyoshi OZAWA 10 yıl önce
hadoop-yarn-registry eb5faa161a YARN-2667. Fix the release audit warning caused by hadoop-yarn-registry. Contributed by Yi Liu 10 yıl önce
hadoop-yarn-server fe80fd5e88 YARN-2496. Enhanced Capacity Scheduler to have basic support for allocating resources based on node-labels. Contributed by Wangda Tan. 10 yıl önce
hadoop-yarn-site eb055eadd7 YARN-2656. Made RM web services authentication filter support proxy user. Contributed by Varun Vasudev and Zhijie Shen. 10 yıl önce
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 yıl önce
pom.xml 088ae9c5bf YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 yıl önce

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