Thomas White 90158a3ec2 Merge -r 1203454:1203455 from trunk to branch-0.23. Fixes: MAPREDUCE-3373 13 سال پیش
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bin 90158a3ec2 Merge -r 1203454:1203455 from trunk to branch-0.23. Fixes: MAPREDUCE-3373 13 سال پیش
conf ddccefbefb MAPREDUCE-2746. Yarn servers can't communicate with each other with hadoop.security.authorization set to true (acmurthy via mahadev) - Merging r1188522 from trunk 13 سال پیش
dev-support b793e277aa MAPREDUCE-3297. Moved log related components into yarn-common so that HistoryServer and clients can use them without depending on the yarn-server-nodemanager module. Contributed by Siddharth Seth. 13 سال پیش
hadoop-yarn-api 4657411161 MAPREDUCE-3291. App fail to launch due to delegation token not found in cache (Robert Evans via mahadev) -Merging r1198583 from trunk. 13 سال پیش
hadoop-yarn-applications a24139e043 Merge -r 1203410:1203411 from trunk to branch. FIXES: MAPREDUCE-3415 13 سال پیش
hadoop-yarn-common cfbea52bd9 MAPREDUCE-3333. Fixed bugs in ContainerLauncher of MR AppMaster due to which per-container connections to NodeManager were lingering long enough to hit the ulimits on number of processes. (vinodkv) 13 سال پیش
hadoop-yarn-server 0e3715e98f MAPREDUCE-3102. Changed NodeManager to fail fast when LinuxContainerExecutor has wrong configuration or permissions. Contributed by Hitesh Shah. 13 سال پیش
hadoop-yarn-site 7934940eb8 MAPREDUCE-3331. Improvement to single node cluster setup documentation for 0.23 (Anupam Seth via mahadev) - Merging r1202002 from trunk 13 سال پیش
README 2d06ac8a28 Merge -r 1180115:1180116 from trunk to branch. FIXES: MAPREDUCE-3014 13 سال پیش
pom.xml 1d54c6e5a7 Merge -r 1190702:1190703 from trunk to branch-0.23. Fixes: HADOOP-7763. 13 سال پیش

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