Rohith Sharma K S 9d11d6663e YARN-5608. TestAMRMClient.setup() fails with ArrayOutOfBoundsException. Contributed by Daniel Templeton. 8 年之前
..
bin 8d06bda337 YARN-5431. TimelineReader daemon start should allow to pass its own reader opts (Rohith Sharma K S via Varun Saxena) 8 年之前
conf 8d06bda337 YARN-5431. TimelineReader daemon start should allow to pass its own reader opts (Rohith Sharma K S via Varun Saxena) 8 年之前
dev-support e0d131f055 YARN-4091. Add REST API to retrieve scheduler activity. (Chen Ge and Sunil G via wangda) 8 年之前
hadoop-yarn-api a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
hadoop-yarn-applications a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
hadoop-yarn-client 9d11d6663e YARN-5608. TestAMRMClient.setup() fails with ArrayOutOfBoundsException. Contributed by Daniel Templeton. 8 年之前
hadoop-yarn-common a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
hadoop-yarn-registry a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
hadoop-yarn-server a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
hadoop-yarn-site a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 年之前
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 年之前
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml a990d2ebcd Update version from 3.0.0-alpha1-SNAPSHOT to 3.0.0-alpha1 for release 8 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