Varun Saxena 5ef27b65b9 YARN-5037. Fix random failure of TestRMRestart#testQueueMetricsOnRMRestart (sandflee via Varun Saxena). 9 سال پیش
..
bin 9f4b3eaac0 Revert "HADOOP-12366. expose calculated paths (aw)" 9 سال پیش
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 سال پیش
dev-support e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 سال پیش
hadoop-yarn-api b7604a22e6 YARN-5233. Support for specifying a path for ATS plugin jars. Contributed by Li Lu 9 سال پیش
hadoop-yarn-applications 7db796562c Fix OOM issue in DistributedShell. Contributed by Jian He. 9 سال پیش
hadoop-yarn-client c3d9ac82af YARN-5224. Added new web-services /containers/{containerid}/logs & /containers/{containerid}/logs/{filename} and using them in "yarn logs" CLI to get logs of finished containers of a running application. Contributed by Xuan Gong. 9 سال پیش
hadoop-yarn-common b7604a22e6 YARN-5233. Support for specifying a path for ATS plugin jars. Contributed by Li Lu 9 سال پیش
hadoop-yarn-registry c6f33e096e YARN-5206. RegistrySecurity includes id:pass in exception text if considered invalid. Contributed by Steve Loughran 9 سال پیش
hadoop-yarn-server 5ef27b65b9 YARN-5037. Fix random failure of TestRMRestart#testQueueMetricsOnRMRestart (sandflee via Varun Saxena). 9 سال پیش
hadoop-yarn-site 516aa58c1b YARN-5286. Add RPC port info in RM web service's response when getting app status. (Jun Gong via Varun Saxena). 9 سال پیش
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 سال پیش
pom.xml e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 سال پیش

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