Rohith Sharma K S c1afac3a98 YARN-4654. Yarn node label CLI should parse "=" correctly when trying to remove all labels on a node. (Naganarasimha G R via rohithsharmaks) 9 anos atrás
..
bin b76b0ce51e HADOOP-12366. expose calculated paths (aw) 9 anos atrás
conf 43d5caef5e HADOOP-11460. Deprecate shell vars (John Smith via aw) 10 anos atrás
dev-support f4a57d4a53 YARN-4617. LeafQueue#pendingOrderingPolicy should always use fixed ordering policy instead of using same as active applications ordering policy. Contributed by Rohith Sharma K S 9 anos atrás
hadoop-yarn-api 23f937e3b7 YARN-2575. Create separate ACLs for Reservation create/update/delete/list ops (Sean Po via asuresh) 9 anos atrás
hadoop-yarn-applications e9a622606f YARN-4629. Distributed shell breaks under strong security. (Daniel Templeton via stevel) 9 anos atrás
hadoop-yarn-client c1afac3a98 YARN-4654. Yarn node label CLI should parse "=" correctly when trying to remove all labels on a node. (Naganarasimha G R via rohithsharmaks) 9 anos atrás
hadoop-yarn-common 23f937e3b7 YARN-2575. Create separate ACLs for Reservation create/update/delete/list ops (Sean Po via asuresh) 9 anos atrás
hadoop-yarn-registry fa00d3e205 YARN-4655. Log uncaught exceptions/errors in various thread pools in YARN. Contributed by Sidharta Seethana. 9 anos atrás
hadoop-yarn-server 7de70680fe YARN-4690. Skip object allocation in FSAppAttempt#getResourceUsage when possible (Ming Ma via sjlee) 9 anos atrás
hadoop-yarn-site a0c95b5fc4 YARN-4569. Remove incorrect part of maxResources in FairScheduler documentation. (Ray Chiang via kasha) 9 anos atrás
shellprofile.d 01bfe6f05b HADOOP-11653. shellprofiles should require .sh extension (Brahma Reddy Battula via aw) 10 anos atrás
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 anos atrás
pom.xml 241a72af0d YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 anos atrás

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