Akira Ajisaka 54fe17a607 HADOOP-9427. Use JUnit assumptions to skip platform-specific tests. Contributed by Gergely Novák. 8 سال پیش
..
bin da6adf5151 Revert "YARN-5431. TimelineReader daemon start should allow to pass its own reader opts (Rohith Sharma K S via Varun Saxena)" 8 سال پیش
conf 23c3ff85a9 HADOOP-13209. replace slaves with workers (John Smith via aw) 9 سال پیش
dev-support 1ff6833bba YARN-5243. fix several rebase and other miscellaneous issues before merge. (Sangjin Lee via Varun Saxena) 9 سال پیش
hadoop-yarn-api 2d8d183b19 YARN-5351. ResourceRequest should take ExecutionType into account during comparison. (Konstantinos Karanasos via asuresh) 8 سال پیش
hadoop-yarn-applications da456ffd62 Preparing for 3.0.0-alpha2 development 9 سال پیش
hadoop-yarn-client 2d8d183b19 YARN-5351. ResourceRequest should take ExecutionType into account during comparison. (Konstantinos Karanasos via asuresh) 8 سال پیش
hadoop-yarn-common 54fe17a607 HADOOP-9427. Use JUnit assumptions to skip platform-specific tests. Contributed by Gergely Novák. 8 سال پیش
hadoop-yarn-registry 12aa184479 HADOOP-13382. Remove unneeded commons-httpclient dependencies from POM files in Hadoop and sub-projects, while adding it in to the only place it is still needed, hadoop-openstack. Contributed by Matt Foley. 8 سال پیش
hadoop-yarn-server 54fe17a607 HADOOP-9427. Use JUnit assumptions to skip platform-specific tests. Contributed by Gergely Novák. 8 سال پیش
hadoop-yarn-site da456ffd62 Preparing for 3.0.0-alpha2 development 9 سال پیش
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 سال پیش
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 سال پیش
pom.xml da456ffd62 Preparing for 3.0.0-alpha2 development 9 سال پیش

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