Weiwei Yang 650581a19d YARN-8833. Avoid potential integer overflow when computing fair shares. Contributed by liyakun. 6 年之前
..
bin eb08543c7a YARN-8103. Add CLI interface to query node attributes. Contributed by Bibin A Chundatt. 6 年之前
conf 31998643a5 YARN-8342. Enable untrusted docker image to run with launch command. Contributed by Eric Yang 7 年之前
dev-support 3214cd75ac Make 3.1.1 awared by other branches - adding missing files 6 年之前
hadoop-yarn-api 4ff7255d6e YARN-8976. Remove redundant modifiers in interface ApplicationConstants. Contributed by Zhankun Tang. 6 年之前
hadoop-yarn-applications bee5bf867b YARN-9001. [Submarine] Use AppAdminClient instead of ServiceClient to sumbit jobs. (Zac Zhou via wangda) 6 年之前
hadoop-yarn-client 13e3670e7f YARN-8303. YarnClient should contact TimelineReader for application/attempt/container report. 6 年之前
hadoop-yarn-common 13e3670e7f YARN-8303. YarnClient should contact TimelineReader for application/attempt/container report. 6 年之前
hadoop-yarn-registry bde4fd5ed9 Preparing for 3.2.0 release 6 年之前
hadoop-yarn-server 650581a19d YARN-8833. Avoid potential integer overflow when computing fair shares. Contributed by liyakun. 6 年之前
hadoop-yarn-site 288bc3f1eb YARN-8915. Update the doc about the default value of maximum-container-assignments for capacity scheduler. Contributed by Zhankun Tang. 6 年之前
hadoop-yarn-ui 02abd0f80a YARN-8866. Fix a parsing error for crossdomain.xml. 6 年之前
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 9 年之前
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 7 年之前
pom.xml bde4fd5ed9 Preparing for 3.2.0 release 6 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