Karthik Kambatla db2afa8bae YARN-1559. Race between ServerRMProxy and ClientRMProxy setting RMProxy#INSTANCE. (kasha and vinodkv via kasha) hace 11 años
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bin 9b3b133edf YARN-1400. Merging change r1540938 from trunk to branch-2. hace 11 años
conf 4e4e958213 HADOOP-10040. Merging change r1531977 from trunk to branch-2. hace 11 años
dev-support db2afa8bae YARN-1559. Race between ServerRMProxy and ClientRMProxy setting RMProxy#INSTANCE. (kasha and vinodkv via kasha) hace 11 años
hadoop-yarn-api b99dd5de74 YARN-1523. Use StandbyException instead of RMNotYetReadyException (kasha) hace 11 años
hadoop-yarn-applications 48e255ff5d YARN-1549. Fixed a bug in ResourceManager's ApplicationMasterService that was causing unamanged AMs to not finish correctly. Contributed by haosdent. hace 11 años
hadoop-yarn-client db2afa8bae YARN-1559. Race between ServerRMProxy and ClientRMProxy setting RMProxy#INSTANCE. (kasha and vinodkv via kasha) hace 11 años
hadoop-yarn-common db2afa8bae YARN-1559. Race between ServerRMProxy and ClientRMProxy setting RMProxy#INSTANCE. (kasha and vinodkv via kasha) hace 11 años
hadoop-yarn-server db2afa8bae YARN-1559. Race between ServerRMProxy and ClientRMProxy setting RMProxy#INSTANCE. (kasha and vinodkv via kasha) hace 11 años
hadoop-yarn-site 5aad90b97d YARN-1180. Update capacity scheduler docs to include types on the configs (Chen He via jeagles) hace 11 años
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) hace 12 años
pom.xml 9c2534506f HADOOP-9611 mvn-rpmbuild against google-guice > 3.0 yields missing cglib dependency hace 11 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