Karthik Kambatla c3973e7080 YARN-5969. FairShareComparator: Cache value of getResourceUsage for better performance. (zhangshilong via kasha) 8 年之前
..
bin 58ed4fa544 HADOOP-13341. Deprecate HADOOP_SERVERNAME_OPTS; replace with (command)_(subcommand)_OPTS 8 年之前
conf 8d06bda337 YARN-5431. TimelineReader daemon start should allow to pass its own reader opts (Rohith Sharma K S via Varun Saxena) 8 年之前
dev-support de3b4aac56 YARN-5716. Add global scheduler interface definition and update CapacityScheduler to use it. Contributed by Wangda Tan 8 年之前
hadoop-yarn-api 2273a74c1f YARN-5646. Add documentation and update config parameter names for scheduling of OPPORTUNISTIC containers. (Konstantinos Karanasos via asuresh) 8 年之前
hadoop-yarn-applications 209e805430 HADOOP-13506. Redundant groupid warning in child projects. Contributed by Kai Sasaki. 8 年之前
hadoop-yarn-client 38e66d4d64 YARN-5903. Fix race condition in TestResourceManagerAdministrationProtocolPBClientImpl beforeclass setup method (Haibo Chen via Varun Saxena) 8 年之前
hadoop-yarn-common 2273a74c1f YARN-5646. Add documentation and update config parameter names for scheduling of OPPORTUNISTIC containers. (Konstantinos Karanasos via asuresh) 8 年之前
hadoop-yarn-registry 72fe546841 YARN-5963. Spelling errors in logging and exceptions for node manager, client, web-proxy, common, and app history code (gsohn via rkanter) 8 年之前
hadoop-yarn-server c3973e7080 YARN-5969. FairShareComparator: Cache value of getResourceUsage for better performance. (zhangshilong via kasha) 8 年之前
hadoop-yarn-site ded2d08f33 HADOOP-13940. Document the missing envvars commands (Contributed by Yiqun Lin via Daniel Templeton) 8 年之前
hadoop-yarn-ui ef2dd7b78c YARN-5650. Render Application Timeout value in web UI. Contributed by Akhil PB. 8 年之前
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 年之前
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml 209e805430 HADOOP-13506. Redundant groupid warning in child projects. Contributed by Kai Sasaki. 8 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