Robert Kanter d07eef8c87 YARN-4115. Reduce loglevel of ContainerManagementProtocolProxy to Debug (adhoot via rkanter) hace 9 años
..
bin f7ba3c0045 HADOOP-12116. Fix unrecommended syntax usages in hadoop/hdfs/yarn script for cygwin in branch-2. Contributed by Li Lu. hace 10 años
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. hace 10 años
dev-support 9692bcc2c8 YARN-3319. Implement a FairOrderingPolicy. (Craig Welch via wangda) hace 10 años
hadoop-yarn-api f23be93dd1 YARN-2884. Added a proxy service in NM to proxy the the communication between AM and RM. Contributed by Kishore Chaliparambil hace 9 años
hadoop-yarn-applications 6f50a6a456 YARN-3950. Add unique SHELL_ID environment variable to DistributedShell. Contributed by Robert Kanter hace 9 años
hadoop-yarn-client d07eef8c87 YARN-4115. Reduce loglevel of ContainerManagementProtocolProxy to Debug (adhoot via rkanter) hace 9 años
hadoop-yarn-common ea64a9b277 YARN-4086. Allow Aggregated Log readers to handle HAR files (rkanter) hace 9 años
hadoop-yarn-registry 7d833a3058 HADOOP-12369. Point hadoop-project/pom.xml java.security.krb5.conf within target folder. hace 9 años
hadoop-yarn-server a4288f1262 YARN-4136. LinuxContainerExecutor loses info when forwarding ResourceHandlerException. Contributed by Bibin A Chundatt. hace 9 años
hadoop-yarn-site 1c53cd2b0d YARN-4121. Fix typos in capacity scheduler documentation. Contributed by Kai Sasaki. hace 9 años
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) hace 11 años
pom.xml bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. hace 10 años

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