carlo curino c4918cb4cb YARN-1711. Policy to enforce instantaneous and over-time quotas on user reservation. Contributed by Carlo Curino and Subru Krishnan. 10 年之前
..
bin 3dc28e2052 HADOOP-11092. hadoop shell commands should print usage if not given a class (aw) 10 年之前
conf 0c8aec43f0 YARN-2438. yarn-env.sh cleanup (aw) 10 年之前
dev-support da4ba50269 HADOOP-10893. isolated classloader on the client side. Contributed by Sangjin Lee 10 年之前
hadoop-yarn-api 3f2e3b275b YARN-1708. Public YARN APIs for creating/updating/deleting reservations. 10 年之前
hadoop-yarn-applications a3d9934f91 YARN-1779. Fixed AMRMClient to handle AMRMTokens correctly across ResourceManager work-preserving-restart or failover. Contributed by Jian He. 10 年之前
hadoop-yarn-client 6fe5c6b746 YARN-2568. Fixed the potential test failures due to race conditions when RM work-preserving recovery is enabled. Contributed by Jian He. 10 年之前
hadoop-yarn-common 3f2e3b275b YARN-1708. Public YARN APIs for creating/updating/deleting reservations. 10 年之前
hadoop-yarn-server c4918cb4cb YARN-1711. Policy to enforce instantaneous and over-time quotas on user reservation. Contributed by Carlo Curino and Subru Krishnan. 10 年之前
hadoop-yarn-site 72b0881ca6 YARN-2546. Made REST API for application creation/submission use numeric and boolean types instead of the string of them. Contributed by Varun Vasudev. 10 年之前
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml 4c197b5d56 HADOOP-10167. Mark hadoop-common source as UTF-8 in Maven pom files / refactoring. Contributed by Mikhail Antonov. 11 年之前

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