hadoop/hadoop-yarn-project/hadoop-yarn
2016-11-02 04:44:33 +05:30
..
bin HADOOP-13341. Deprecate HADOOP_SERVERNAME_OPTS; replace with (command)_(subcommand)_OPTS 2016-09-12 11:10:00 -07:00
conf YARN-5431. TimelineReader daemon start should allow to pass its own reader opts (Rohith Sharma K S via Varun Saxena) 2016-07-28 08:36:09 +05:30
dev-support HADOOP-13544. JDiff reports unncessarily show unannotated APIs and cause confusion while our javadocs only show annotated and public APIs. (vinodkv via wangda) 2016-09-27 11:26:45 -07:00
hadoop-yarn-api YARN-4388. Cleanup mapreduce.job.hdfs-servers from yarn-default.xml (Junping Du via Varun Saxena) 2016-10-28 02:22:25 +05:30
hadoop-yarn-applications YARN-5575. Many classes use bare yarn. properties instead of the defined constants. Contributed by Daniel Templeton. 2016-10-26 15:32:07 +09:00
hadoop-yarn-client YARN-5697. Use CliParser to parse options in RMAdminCLI. Contributed by Tao jie 2016-11-02 04:44:33 +05:30
hadoop-yarn-common YARN-5809. AsyncDispatcher possibly invokes multiple shutdown threads when handling exception (Jian He via Varun Saxena) 2016-11-01 04:37:03 +05:30
hadoop-yarn-registry YARN-3460. TestSecureRMRegistryOperations fails with IBM_JAVA. Contributed by Pascal Oliva 2016-10-28 16:49:36 -07:00
hadoop-yarn-server YARN-5001. Aggregated Logs root directory is created with wrong group if nonexistent. Contributed by Haibo Chen 2016-11-01 20:23:24 +00:00
hadoop-yarn-site YARN-5172. Update yarn daemonlog documentation due to HADOOP-12847. Contributed by Wei-Chiu Chuang 2016-10-27 19:43:02 +00:00
shellprofile.d HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 2016-05-16 17:54:45 -07:00
pom.xml HADOOP-13544. JDiff reports unncessarily show unannotated APIs and cause confusion while our javadocs only show annotated and public APIs. (vinodkv via wangda) 2016-09-27 11:26:45 -07:00
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