hadoop/hadoop-yarn-project/hadoop-yarn
Wangda Tan e081593042 YARN-3487. CapacityScheduler scheduler lock obtained unnecessarily when calling getQueue (Jason Lowe via wangda)
(cherry picked from commit f47a5763ac)
(cherry picked from commit 3316cd4357)
(cherry picked from commit 24d45ee9544abcfcf9e611ab835ec2f824333670)
2015-09-02 11:28:22 -07:00
..
bin YARN-2827. Fixed bugs in "yarn queue" CLI. Contributed by Wangda Tan. 2014-11-07 12:01:33 -08:00
conf YARN-1982. Renamed the daemon name to be TimelineServer instead of History Server and deprecated the old usage. Contributed by Zhijie Shen. 2014-05-11 00:05:31 +00:00
dev-support YARN-2824. Fixed Capacity Scheduler to not crash when some node-labels are not mapped to queues by making default capacities per label to be zero. Contributed by Wangda Tan. 2014-11-07 10:45:01 -08:00
hadoop-yarn-api YARN-1809. Synchronize RM and TimeLineServer Web-UIs. Contributed by Zhijie Shen and Xuan Gong 2015-09-01 15:12:53 -07:00
hadoop-yarn-applications YARN-3267. Timelineserver applies the ACL rules after applying the limit on the number of records (Chang Li via jeagles) 2015-09-01 16:04:19 -07:00
hadoop-yarn-client YARN-3103. AMRMClientImpl does not update AMRM token properly. Contributed by Jason Lowe 2015-08-31 15:42:03 -07:00
hadoop-yarn-common YARN-3287. Made TimelineClient put methods do as the correct login context. Contributed by Daryn Sharp and Jonathan Eagles. 2015-09-01 15:24:36 -07:00
hadoop-yarn-registry Preparing to release hadoop-2.6.0: Set version in branch-2.6 to 2.6.1-SNAPSHOT. 2014-11-09 19:21:11 -08:00
hadoop-yarn-server YARN-3487. CapacityScheduler scheduler lock obtained unnecessarily when calling getQueue (Jason Lowe via wangda) 2015-09-02 11:28:22 -07:00
hadoop-yarn-site YARN-1964. Create Docker analog of the LinuxContainerExecutor in YARN 2014-11-12 09:33:42 -08:00
README HADOOP-9872. Improve protoc version handling and detection. (tucu) 2013-08-14 22:29:46 +00:00
pom.xml Preparing to release hadoop-2.6.0: Set version in branch-2.6 to 2.6.1-SNAPSHOT. 2014-11-09 19:21:11 -08:00

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