Jason Lowe 03ab24aa01 MAPREDUCE-5932. Provide an option to use a dedicated reduce-side shuffle log. Contributed by Gera Shegalov 10 年之前
..
bin 26319ba0db YARN-2472. yarn-daemons.sh should jsut call yarn directly (Masatake Iwasaki via aw) 10 年之前
conf 031f980e7e HADOOP-11081. Document hadoop properties expected to be set by the shell code in *-env.sh (aw) 10 年之前
dev-support 2ac1be7dec YARN-2824. Fixed Capacity Scheduler to not crash when some node-labels are not mapped to queues by making default capacities per label to be zero. Contributed by Wangda Tan. 10 年之前
hadoop-yarn-api a7fba0bc28 YARN-2765. Added leveldb-based implementation for RMStateStore. Contributed by Jason Lowe 10 年之前
hadoop-yarn-applications 51af8d367d YARN-2890. MiniYARNCluster should start the timeline server based on the configuration. Contributed by Mit Desai. 10 年之前
hadoop-yarn-client 51af8d367d YARN-2890. MiniYARNCluster should start the timeline server based on the configuration. Contributed by Mit Desai. 10 年之前
hadoop-yarn-common 03ab24aa01 MAPREDUCE-5932. Provide an option to use a dedicated reduce-side shuffle log. Contributed by Gera Shegalov 10 年之前
hadoop-yarn-registry 1670578018 YARN-2768 Improved Yarn Registry service record structure (stevel) 10 年之前
hadoop-yarn-server 03ab24aa01 MAPREDUCE-5932. Provide an option to use a dedicated reduce-side shuffle log. Contributed by Gera Shegalov 10 年之前
hadoop-yarn-site a128cca305 YARN-2669. FairScheduler: queue names shouldn't allow periods (Wei Yan via Sandy Ryza) 10 年之前
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml 6a326711aa YARN-913 service registry: YARN-2652 add hadoop-yarn-registry package under hadoop-yarn 10 年之前

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