Siddharth Seth 60a5f6b520 merge YARN-102 from trunk. Move the apache header to the top of the file in MemStore.java. (Contributed by Devaraj K) 12 tahun lalu
..
bin c51c5c1297 Merge -c 1390218 from trunk to branch-2 to fix YARN-9. Rename YARN_HOME to HADOOP_YARN_HOME. Contributed by Vinod K V. 12 tahun lalu
conf c51c5c1297 Merge -c 1390218 from trunk to branch-2 to fix YARN-9. Rename YARN_HOME to HADOOP_YARN_HOME. Contributed by Vinod K V. 12 tahun lalu
dev-support 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 12 tahun lalu
hadoop-yarn-api 7418b5f357 Merge -c 1391929 from trunk to branch-2 to fix YARN-137. Change the default YARN scheduler to be the CapacityScheduler. Contributed by Siddharth Seth. 12 tahun lalu
hadoop-yarn-applications 7418b5f357 Merge -c 1391929 from trunk to branch-2 to fix YARN-137. Change the default YARN scheduler to be the CapacityScheduler. Contributed by Siddharth Seth. 12 tahun lalu
hadoop-yarn-client f403be7569 Set version in branch-2 to 2.0.3-SNAPSHOT 12 tahun lalu
hadoop-yarn-common 41aa8aeb07 Merge -c 1391944 from trunk to branch-2 to fix YARN-138. Ensure default values for minimum/maximum container sizes is sane. Contributed by Harsh J and Siddharth Seth. 12 tahun lalu
hadoop-yarn-server 60a5f6b520 merge YARN-102 from trunk. Move the apache header to the top of the file in MemStore.java. (Contributed by Devaraj K) 12 tahun lalu
hadoop-yarn-site 9f3f66375e merge YARN-131 from trunk. Fix incorrect ACL properties in capacity scheduler documentation. (Contributed by Ahmed Radwan) 12 tahun lalu
README 92a99de731 Merge -c 1370666 from trunk to branch-2 to fix YARN-1. Promote YARN to be a sub-project of Apache Hadoop. 12 tahun lalu
pom.xml ac103a4314 HADOOP-8755. Print thread dump when tests fail due to timeout. Contributed by Andrey Klochkov. 12 tahun lalu

README

YARN (YET ANOTHER RESOURCE NEGOTIATOR or YARN Application Resource Negotiator)
------------------------------------------------------------------------------

Requirements
-------------
Java: JDK 1.6
Maven: Maven 3

Setup
-----
Install protobuf 2.4.0a or higher (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)
Installing protoc requires gcc 4.1.x or higher.
If the make step fails with (Valid until a fix is released for protobuf 2.4.0a)
./google/protobuf/descriptor.h:1152: error:
`google::protobuf::internal::Mutex*google::protobuf::DescriptorPool::mutex_'
is private
Replace descriptor.cc with http://protobuf.googlecode.com/svn-history/r380/trunk/src/google/protobuf/descriptor.cc


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