Szilard Nemeth 0d3155a687 YARN-10457. Add a configuration switch to change between legacy and JSON placement rule format. Contributed by Gergely Pollak 4 anos atrás
..
bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko 5 anos atrás
conf 474fa80bfb HADOOP-17277. Correct spelling errors for separator (#2322) 4 anos atrás
dev-support 6e3d7050a9 YARN-10386. Create new JSON schema for Placement Rules. Contributed by Peter Bacsko and Benjamin Teke 4 anos atrás
hadoop-yarn-api 0461a07c01 YARN-10475: Scale RM-NM heartbeat interval based on node utilization. Contributed by Jim Brennan (Jim_Brennan). 4 anos atrás
hadoop-yarn-applications 61f8c5767e YARN-10480. replace href tags with ng-href (#2426) 4 anos atrás
hadoop-yarn-client 1e3a6efcef HADOOP-17288. Use shaded guava from thirdparty. (#2342). Contributed by Ayush Saxena. 4 anos atrás
hadoop-yarn-common 0b2510ee1f YARN-10485. TimelineConnector swallows InterruptedException (#2450). Contributed by Ahmed Hussein 4 anos atrás
hadoop-yarn-csi 4331c88352 HADOOP-17344. Harmonize guava version and shade guava in yarn-csi. (#2434) 4 anos atrás
hadoop-yarn-registry 8914cf9167 Preparing for 3.4.0 development 5 anos atrás
hadoop-yarn-server 0d3155a687 YARN-10457. Add a configuration switch to change between legacy and JSON placement rule format. Contributed by Gergely Pollak 4 anos atrás
hadoop-yarn-site 0461a07c01 YARN-10475: Scale RM-NM heartbeat interval based on node utilization. Contributed by Jim Brennan (Jim_Brennan). 4 anos atrás
hadoop-yarn-ui deea5d8f2b YARN-10469. YARN-UI2 The accuracy of the percentage values in the same chart on the YARN 'Cluster OverView' page are inconsistent (#2401) 4 anos atrás
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 anos atrás
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 anos atrás
pom.xml 8914cf9167 Preparing for 3.4.0 development 5 anos atrás

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