Junping Du e14ee0d3b5 YARN-5083. YARN CLI for AM logs does not give any error message if entered invalid am value. Contributed by Jian He. 9 years ago
..
bin 1b0cfc84e7 YARN-5116. Failed to execute "yarn application". Contributed by Jun Gong 9 years ago
conf 43d5caef5e HADOOP-11460. Deprecate shell vars (John Smith via aw) 10 years ago
dev-support 03fc6b1bb0 YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 years ago
hadoop-yarn-api c77a1095dc YARN-1942. Deprecate toString/fromString methods from ConverterUtils and move them to records classes like ContainerId/ApplicationId, etc. (wangda) 9 years ago
hadoop-yarn-applications c77a1095dc YARN-1942. Deprecate toString/fromString methods from ConverterUtils and move them to records classes like ContainerId/ApplicationId, etc. (wangda) 9 years ago
hadoop-yarn-client e14ee0d3b5 YARN-5083. YARN CLI for AM logs does not give any error message if entered invalid am value. Contributed by Jian He. 9 years ago
hadoop-yarn-common 5dfc38ff57 YARN-5237. Fix missing log files issue in rolling log aggregation. Contributed by Xuan Gong. 9 years ago
hadoop-yarn-registry 8c8a377cac YARN-5206. RegistrySecurity includes id:pass in exception text if considered invalid. Contributed by Steve Loughran 9 years ago
hadoop-yarn-server 5dfc38ff57 YARN-5237. Fix missing log files issue in rolling log aggregation. Contributed by Xuan Gong. 9 years ago
hadoop-yarn-site 04ded558b0 YARN-5035. FairScheduler: Adjust maxAssign dynamically when assignMultiple is turned on. (kasha) 9 years ago
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 years ago
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml 03fc6b1bb0 YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 years ago

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