Wangda Tan fe7dab8ef5 YARN-8989. [YARN-8851] Move DockerCommandPlugin volume related APIs' invocation from DockerLinuxContainerRuntime#prepareContainer to #launchContainer. (Zhankun Tang via wangda) 6 年之前
..
bin e2a9fa8448 HADOOP-15821. Move YARN Registry to Hadoop Registry. 6 年之前
conf e2a9fa8448 HADOOP-15821. Move YARN Registry to Hadoop Registry. 6 年之前
dev-support f747f5b06c HADOOP-15886. Fix findbugs warnings in RegistryDNS.java. 6 年之前
hadoop-yarn-api 5fb14e0635 YARN-8953. [CSI] CSI driver adaptor module support in NodeManager. Contributed by Weiwei Yang. 6 年之前
hadoop-yarn-applications 897643928c YARN-8975. [Submarine] Use predefined Charset object StandardCharsets.UTF_8 instead of String UTF-8. (Zhankun Tang via wangda) 6 年之前
hadoop-yarn-client b3a052d199 YARN-9044. LogsCLI should contact ATSv2 for -am option. Contributed by Rohith Sharma K S 6 年之前
hadoop-yarn-common 9de8e8d049 YARN-9030. Log aggregation changes to handle filesystems which do not support setting permissions. (Suma Shivaprasad via wangda) 6 年之前
hadoop-yarn-csi 5fb14e0635 YARN-8953. [CSI] CSI driver adaptor module support in NodeManager. Contributed by Weiwei Yang. 6 年之前
hadoop-yarn-registry e2a9fa8448 HADOOP-15821. Move YARN Registry to Hadoop Registry. 6 年之前
hadoop-yarn-server fe7dab8ef5 YARN-8989. [YARN-8851] Move DockerCommandPlugin volume related APIs' invocation from DockerLinuxContainerRuntime#prepareContainer to #launchContainer. (Zhankun Tang via wangda) 6 年之前
hadoop-yarn-site 33e0df4b35 YARN-8986. Added port publish for Docker container running with bridge network. 6 年之前
hadoop-yarn-ui 5fe1dbf195 YARN-8964. [UI2] YARN ui2 should use clusters/{cluster name} for all ATSv2 REST APIs. Contributed by Akhil PB. 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 0efddd85f0 YARN-8873. [YARN-8811] Add CSI java-based client library. Contributed by Weiwei Yang. 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