rohithsharmaks 80928af293 YARN-4614. Fix random failure in TestApplicationPriority#testApplicationPriorityAllocationWithChangeInPriority. (Sunil G via rohithsharmaks) 9 年之前
..
bin 81a7ad45c9 HADOOP-12366. expose calculated paths (aw) 9 年之前
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 年之前
dev-support e73bf71e10 YARN-4537. Pull out priority comparison from fifocomparator and use compound comparator for FifoOrdering policy. Contributed by Rohith Sharma K S 9 年之前
hadoop-yarn-api a04f29ca90 YARN-4265. Provide new timeline plugin storage to support fine-grained entity caching. Contributed by Li Lu and Jason Lowe 9 年之前
hadoop-yarn-applications cdef283cd0 YARN-4596. SystemMetricPublisher should not swallow error messages from TimelineClient#putEntities. Contributed by Li Lu 9 年之前
hadoop-yarn-client e2762f035f YARN-4371. "yarn application -kill" should take multiple application ids. Contributed by Sunil G 9 年之前
hadoop-yarn-common 5dc2e78c97 HADOOP-12356. Fix computing CPU usage statistics on Windows. (Inigo Goiri via wangda) 9 年之前
hadoop-yarn-registry 7d833a3058 HADOOP-12369. Point hadoop-project/pom.xml java.security.krb5.conf within target folder. 9 年之前
hadoop-yarn-server 80928af293 YARN-4614. Fix random failure in TestApplicationPriority#testApplicationPriorityAllocationWithChangeInPriority. (Sunil G via rohithsharmaks) 9 年之前
hadoop-yarn-site a2d73b185f YARN-4608. Redundant code statement in WritingYarnApplications. Contributed by Kai Sasaki. 9 年之前
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml bf8be56292 YARN-2784. Make POM project names consistent. Contributed by Rohith. 10 年之前

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