Sangjin Lee 2b6784ab95 YARN-3864. Implement support for querying single app and all apps for a flow run (Varun Saxena via sjlee) 9 years ago
..
bin c0c37e5310 YARN-3047. [Data Serving] Set up ATS reader with basic request serving structure and lifecycle (Varun Saxena via sjlee) 9 years ago
conf 43d5caef5e HADOOP-11460. Deprecate shell vars (John Smith via aw) 10 years ago
dev-support acbf140a92 YARN-3045. Implement NM writing container lifecycle events to Timeline Service v2. Contributed by Naganarasimha G R. 9 years ago
hadoop-yarn-api 4552598da6 YARN-4075 [reader REST API] implement support for querying for flows and flow runs (Varun Saxena via vrushali) 9 years ago
hadoop-yarn-applications acbf140a92 YARN-3045. Implement NM writing container lifecycle events to Timeline Service v2. Contributed by Naganarasimha G R. 9 years ago
hadoop-yarn-client 9a60a8948f YARN-3333. Rename TimelineAggregator etc. to TimelineCollector. Contributed by Sangjin Lee 9 years ago
hadoop-yarn-common 25f58b40d3 YARN-4074. [timeline reader] implement support for querying for flows and flow runs (sjlee via vrushali) 9 years ago
hadoop-yarn-registry 0eb9b19325 HADOOP-12369. Point hadoop-project/pom.xml java.security.krb5.conf within target folder. 9 years ago
hadoop-yarn-server 2b6784ab95 YARN-3864. Implement support for querying single app and all apps for a flow run (Varun Saxena via sjlee) 9 years ago
hadoop-yarn-site ad997fab67 YARN-4098. Document ApplicationPriority feature. Contributed by Rohith Sharma K S 9 years ago
shellprofile.d 01bfe6f05b HADOOP-11653. shellprofiles should require .sh extension (Brahma Reddy Battula via aw) 10 years ago
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 years ago
pom.xml 241a72af0d YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 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