Wangda Tan 58d7d1efc6 YARN-3079. Scheduler should also update maximumAllocation when updateNodeResource. (Zhihai Xu via wangda) 10 years ago
..
bin 2c4abe9208 YARN-3015. yarn classpath command should support same options as hadoop classpath. Contributed by Varun Saxena. 10 years ago
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 years ago
dev-support 4931600030 YARN-2637. Fixed max-am-resource-percent calculation in CapacityScheduler when activating applications. Contributed by Craig Welch 10 years ago
hadoop-yarn-api 04ad500fac YARN-3086. Make NodeManager memory configurable in MiniYARNCluster. Contributed by Robert Metzger. 10 years ago
hadoop-yarn-applications 25f2cf8a4e YARN-2800. Remove MemoryNodeLabelsStore and add a way to enable/disable node labels feature. Contributed by Wangda Tan. 10 years ago
hadoop-yarn-client 12522fd9cb YARN-3103. AMRMClientImpl does not update AMRM token properly. Contributed by Jason Lowe 10 years ago
hadoop-yarn-common 12060cb9a6 YARN-3028. Better syntax for replaceLabelsOnNode in RMAdmin CLI. Contributed by Rohith Sharmaks 10 years ago
hadoop-yarn-registry b349cd9d0b YARN-3005. [JDK7] Use switch statement for String instead of if-else statement in RegistrySecurity.java (Contributed by Kengo Seki) 10 years ago
hadoop-yarn-server 58d7d1efc6 YARN-3079. Scheduler should also update maximumAllocation when updateNodeResource. (Zhihai Xu via wangda) 10 years ago
hadoop-yarn-site 401c7d72f5 YARN-3071. Remove invalid char from sample conf in doc of FairScheduler. (Contributed by Masatake Iwasaki) 10 years ago
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml adfb830a2b Preparing to release hadoop-2.6.0: Set version in branch-2 to 2.7.0-SNAPSHOT. 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