Karthik Kambatla a0bf22947d YARN-2352. FairScheduler: Collect metrics on duration of critical methods that affect performance. (kasha) 10 年之前
..
bin 10a82e54da YARN-2131. Addendum. Add a way to format the RMStateStore. (Robert Kanter via kasha) 11 年之前
conf 914c871296 YARN-1982. Renamed the daemon name to be TimelineServer instead of History Server and deprecated the old usage. Contributed by Zhijie Shen. 11 年之前
dev-support a0bf22947d YARN-2352. FairScheduler: Collect metrics on duration of critical methods that affect performance. (kasha) 10 年之前
hadoop-yarn-api 75349f2d83 Merge r1615025 from trunk: YARN-2051. Fix bug in PBimpls and add more unit tests with reflection. (Contributed by Binglin Chang) 10 年之前
hadoop-yarn-applications 72d90780c2 Merge r1616302 from trunk. YARN-2374. Fixed TestDistributedShell#testDSShell failure due to hostname dismatch. Contributed by Varun Vasudev 10 年之前
hadoop-yarn-client 8abd45b5bb Merge r1616100 from trunk: YARN-2298. Move TimelineClient to yarn-common project (Zhijie Shen via junping_du) 10 年之前
hadoop-yarn-common 06a0772d62 Merge r1616580 from trunk. YARN-2008. Fixed CapacityScheduler to calculate headroom based on max available capacity instead of configured max capacity. Contributed by Craig Welch 10 年之前
hadoop-yarn-server a0bf22947d YARN-2352. FairScheduler: Collect metrics on duration of critical methods that affect performance. (kasha) 10 年之前
hadoop-yarn-site b41896f0a2 YARN-2247. Made RM web services authenticate users via kerberos and delegation token. Contributed by Varun Vasudev. 11 年之前
README eee2b37a3a HADOOP-9872. Improve protoc version handling and detection. (tucu) 11 年之前
pom.xml 9133e3142c Preparing for 2.6.0 development. Updated versions. 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