Weiwei Yang 4d4968646a YARN-9252. Allocation Tag Namespace support in Distributed Shell. Contributed by Prabhu Joseph. 6 лет назад
..
bin eb08543c7a YARN-8103. Add CLI interface to query node attributes. Contributed by Bibin A Chundatt. 6 лет назад
conf 1dc2b49bfd YARN-8822. Nvidia-docker v2 support for YARN GPU feature. (Charo Zhang via wangda) 6 лет назад
dev-support 649da5af04 Make upstream aware of 3.1.2 release 6 лет назад
hadoop-yarn-api 4d4968646a YARN-9252. Allocation Tag Namespace support in Distributed Shell. Contributed by Prabhu Joseph. 6 лет назад
hadoop-yarn-applications 4d4968646a YARN-9252. Allocation Tag Namespace support in Distributed Shell. Contributed by Prabhu Joseph. 6 лет назад
hadoop-yarn-client 3d552b24ba YARN-8761. Service AM support for decommissioning component instances. 6 лет назад
hadoop-yarn-common 3d552b24ba YARN-8761. Service AM support for decommissioning component instances. 6 лет назад
hadoop-yarn-registry bba76b6f31 HADOOP-16031. Fixed TestSecureLogins unit test. Contributed by Akira Ajisaka 6 лет назад
hadoop-yarn-server fbd03543d8 YARN-8555. Parameterize TestSchedulingRequestContainerAllocation(Async) to cover both PC handler options. Contributed by Prabhu Joseph. 6 лет назад
hadoop-yarn-site 314c559971 YARN-9191. Add cli option in DS to support enforceExecutionType in resource requests. Contributed by Abhishek Modi. 6 лет назад
hadoop-yarn-ui 4aea4b7c9c YARN-8961. [UI2] Flow Run End Time shows 'Invalid date'. Contributed by Akhil PB 6 лет назад
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 лет назад
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 лет назад
pom.xml bde4fd5ed9 Preparing for 3.2.0 release 6 лет назад

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