Aryan Gupta 5f147112cf HADOOP-17286. Updated jQuery in yarn-common. (#2340) 4 лет назад
..
bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko 5 лет назад
conf ed19f63998 HADOOP-17277. Correct spelling errors for separator (#2322) 4 лет назад
dev-support e95ee67632 Make upstream aware of 3.2.2 release. 4 лет назад
hadoop-yarn-api da2ebfa8a9 YARN-10707. Support custom resources in ResourceUtilization, and update Node GPU Utilization to use. Contributed by Qi Zhu 4 лет назад
hadoop-yarn-applications 670205c541 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) 4 лет назад
hadoop-yarn-client bdd22b61c2 HADOOP-17432. [JDK 16] KerberosUtil#getOidInstance is broken by JEP 396 (#2546) 4 лет назад
hadoop-yarn-common 5f147112cf HADOOP-17286. Updated jQuery in yarn-common. (#2340) 4 лет назад
hadoop-yarn-csi 670205c541 HADOOP-17653. Do not use guava's Files.createTempDir(). (#2945) 4 лет назад
hadoop-yarn-registry dfa7f160a5 Preparing for 3.3.1 development 5 лет назад
hadoop-yarn-server 051a5068dd YARN-9615. Add dispatcher metrics to RM. Contributed by Jonathan Hung and Qi Zhu. 4 лет назад
hadoop-yarn-site 5181b2004b YARN-10439. Yarn Service AM listens on all IP's on the machine. Contributed by D M Murali Krishna Reddy 4 лет назад
hadoop-yarn-ui d0b02a23f3 Bump y18n 4 лет назад
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 лет назад
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 лет назад
pom.xml f5ef78d46f HADOOP-17665 Ignore missing keystore configuration in reloading mechanism 4 лет назад

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