Wangda Tan adca1a72e4 YARN-7591. NPE in async-scheduling mode of CapacityScheduler. (Tao Yang via wangda) hace 7 años
..
bin e00c7f78c1 HADOOP-14976. Set HADOOP_SHELL_EXECNAME explicitly in scripts. hace 7 años
conf ba7ed7b66a YARN-7384. Remove apiserver cmd and merge service cmd into application cmd. Contributed by Billie Rinaldi hace 7 años
dev-support aab439593b YARN-7330. Add support to show GPU in UI including metrics. Contributed by Wangda Tan. hace 7 años
hadoop-yarn-api d52627a7cb YARN-7254. UI and metrics changes related to absolute resource configuration. (Sunil G via wangda) hace 7 años
hadoop-yarn-applications 40b0045ebe YARN-7610. Extend Distributed Shell to support launching job with opportunistic containers. Contributed by Weiwei Yang. hace 7 años
hadoop-yarn-client a409425986 YARN-7558. yarn logs command fails to get logs for running containers if UI authentication is enabled. Contributed by Xuan Gong. hace 7 años
hadoop-yarn-common daa1cdd062 YARN-7564. Cleanup to fix checkstyle issues of YARN-5881 branch. Contributed by Sunil G. hace 7 años
hadoop-yarn-registry d30d57828f YARN-6669. Implemented Kerberos security for YARN service framework. (Contributed by Jian He) hace 7 años
hadoop-yarn-server adca1a72e4 YARN-7591. NPE in async-scheduling mode of CapacityScheduler. (Tao Yang via wangda) hace 7 años
hadoop-yarn-site 532bbf4602 YARN-7533. Documentation for absolute resource support in Capacity Scheduler. Contributed by Sunil G. hace 7 años
hadoop-yarn-ui 99ccca341f YARN-7092. Render application specific log under application tab in new YARN UI. Contributed by Akhil PB. hace 7 años
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) hace 9 años
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. hace 7 años
pom.xml 40ab068eab YARN-7091. Rename application to service in yarn-native-services. Contributed by Jian He hace 7 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