Wei-Chiu Chuang f1e1809029 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) пре 4 година
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bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko пре 5 година
conf 474fa80bfb HADOOP-17277. Correct spelling errors for separator (#2322) пре 4 година
dev-support ec22850dbe Make upstream aware of 3.2.2 release. пре 4 година
hadoop-yarn-api 803ac4b1a0 YARN-10707. Support custom resources in ResourceUtilization, and update Node GPU Utilization to use. Contributed by Qi Zhu пре 4 година
hadoop-yarn-applications f1e1809029 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) пре 4 година
hadoop-yarn-client 04cd3115ba YARN-10658. CapacityScheduler QueueInfo add queue path field to avoid ambiguous QueueName. Contributed by Qi Zhu. пре 4 година
hadoop-yarn-common 803ac4b1a0 YARN-10707. Support custom resources in ResourceUtilization, and update Node GPU Utilization to use. Contributed by Qi Zhu пре 4 година
hadoop-yarn-csi f1e1809029 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) пре 4 година
hadoop-yarn-registry 8914cf9167 Preparing for 3.4.0 development пре 5 година
hadoop-yarn-server f1e1809029 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) пре 4 година
hadoop-yarn-site ebf6b14c67 YARN-10123. Error message around yarn app -stop/start can be improved. Contributed by Siddharth Ahuja пре 4 година
hadoop-yarn-ui 6a9a5ae5fd Bump y18n (#2843) пре 4 година
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) пре 9 година
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. пре 7 година
pom.xml 2c482fbacf HADOOP-16524. Automatic keystore reloading for HttpServer2 пре 4 година

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