Jason Lowe 4037b22b7c YARN-5389. TestYarnClient#testReservationDelete fails. Contributed by Sean Po 8 년 전
..
bin 9f4b3eaac0 Revert "HADOOP-12366. expose calculated paths (aw)" 9 년 전
conf 69a7780ee5 HADOOP-7984. Add hadoop --loglevel option to change log level. Contributed by Aikira AJISAKA. 10 년 전
dev-support e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 년 전
hadoop-yarn-api 3e511f39c2 YARN-4685. Disable AM blacklisting by default to mitigate situations that application get hanged. (Rohith Sharma K S via wangda) 8 년 전
hadoop-yarn-applications 7db796562c Fix OOM issue in DistributedShell. Contributed by Jian He. 9 년 전
hadoop-yarn-client 4037b22b7c YARN-5389. TestYarnClient#testReservationDelete fails. Contributed by Sean Po 8 년 전
hadoop-yarn-common d464483bf7 YARN-4676. Automatic and Asynchronous Decommissioning Nodes Status Tracking. Contributed by Diniel Zhi. 8 년 전
hadoop-yarn-registry ea10e1384f HADOOP-13382. Remove unneeded commons-httpclient dependencies from POM files in Hadoop and sub-projects, while adding it in to the only place it is still needed, hadoop-openstack. Contributed by Matt Foley. 8 년 전
hadoop-yarn-server 952c309dd9 YARN-5042. Mount /sys/fs/cgroup into Docker containers as read only mount. Contributed by luhuichun. 8 년 전
hadoop-yarn-site d464483bf7 YARN-4676. Automatic and Asynchronous Decommissioning Nodes Status Tracking. Contributed by Diniel Zhi. 8 년 전
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 년 전
pom.xml e91e9e596d YARN-3426. Add jdiff support to YARN. (vinodkv via wangda) 9 년 전

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