Jason Lowe 4827e9a908 YARN-8329. Docker client configuration can still be set incorrectly. Contributed by Shane Kumpf 7 yıl önce
..
bin 60e5c1b516 YARN-7773. YARN Federation used Mysql as state store throw exception, Unknown column 'homeSubCluster' in 'field list'. Contributed by Yiran Wu. 7 yıl önce
conf 6176d2b35c YARN-7960. Added security flag no-new-privileges for YARN Docker integration. 7 yıl önce
dev-support 6cf023f9b7 Added CHANGES/RELEASES/Jdiff for 3.1.0 release 7 yıl önce
hadoop-yarn-api 1388de18ad YARN-6919. Add default volume mount list. Contributed by Eric Badger 7 yıl önce
hadoop-yarn-applications 3061bfcde5 YARN-8339. Service AM should localize static/archive resource types to container working directory instead of 'resources'. (Suma Shivaprasad via wangda) 7 yıl önce
hadoop-yarn-client 7ff5a40218 YARN-8316. Improved diagnostic message for ATS unavailability for YARN Service. 7 yıl önce
hadoop-yarn-common 4827e9a908 YARN-8329. Docker client configuration can still be set incorrectly. Contributed by Shane Kumpf 7 yıl önce
hadoop-yarn-registry 9ab3f97089 YARN-8211. Yarn registry dns log finds BufferUnderflowException on port ping. Contributed by Eric Yang 7 yıl önce
hadoop-yarn-server 4827e9a908 YARN-8329. Docker client configuration can still be set incorrectly. Contributed by Shane Kumpf 7 yıl önce
hadoop-yarn-site d996479954 YARN-4599. Set OOM control for memory cgroups. (Miklos Szegedi via Haibo Chen) 7 yıl önce
hadoop-yarn-ui f61e3e752e YARN-8297. Incorrect ATS Url used for Wire encrypted cluster.(addendum). Contributed by Sunil G. 7 yıl önce
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 yıl önce
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 yıl önce
pom.xml 60f9e60b3b Preparing for 3.2.0 development 7 yıl önce

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