Junping Du ea76f19e14 YARN-7230. Document DockerContainerRuntime for branch-2.8 with proper scope and claim as an experimental feature. Contributed by Shane Kumpf. 7 lat temu
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bin 8b4a8ff1b2 Revert "HADOOP-12366. expose calculated paths (aw)" 9 lat temu
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 lat temu
dev-support 86800b30a9 Add COMMON/MAPREDUCE/YARN jdiff of 2.8.0 release. 8 lat temu
hadoop-yarn-api e52ced377b YARN-6930. Admins should be able to explicitly enable specific LinuxContainerRuntime in the NodeManager. Contributed by Shane Kumpf 7 lat temu
hadoop-yarn-applications ab72dbb809 Set branch version to 2.8.2 before preparing RC. 7 lat temu
hadoop-yarn-client ab72dbb809 Set branch version to 2.8.2 before preparing RC. 7 lat temu
hadoop-yarn-common e52ced377b YARN-6930. Admins should be able to explicitly enable specific LinuxContainerRuntime in the NodeManager. Contributed by Shane Kumpf 7 lat temu
hadoop-yarn-registry ab72dbb809 Set branch version to 2.8.2 before preparing RC. 7 lat temu
hadoop-yarn-server dc4cbd6d2e YARN-7333. container-executor fails to remove entries from a directory that is not writable or executable. Contributed by Jason Lowe. 7 lat temu
hadoop-yarn-site ea76f19e14 YARN-7230. Document DockerContainerRuntime for branch-2.8 with proper scope and claim as an experimental feature. Contributed by Shane Kumpf. 7 lat temu
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 lat temu
pom.xml ab72dbb809 Set branch version to 2.8.2 before preparing RC. 7 lat temu

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