Jason Lowe 456705a07c YARN-7815. Make the YARN mounts added to Docker containers more restrictive. Contributed by Shane Kumpf 7 年之前
..
bin 09d996fdd4 YARN-7190. Ensure only NM classpath in 2.x gets TSv2 related hbase jars, not the user classpath. Contributed by Varun Saxena. 7 年之前
conf a68e445dc6 YARN-7717. Add configuration consistency for module.enabled and docker.privileged-containers.enabled. Contributed by Eric Badger. 7 年之前
dev-support 38af237969 YARN-6599. Support anti-affinity constraint via AppPlacementAllocator. (Wangda Tan via asuresh) 7 年之前
hadoop-yarn-api 8df7666fe1 YARN-7780. Documentation for Placement Constraints. (Konstantinos Karanasos via asuresh) 7 年之前
hadoop-yarn-applications 87429affce YARN-7889. Missing kerberos token when check for RM REST API availability. Contributed by Eric Yang 7 年之前
hadoop-yarn-client 38af237969 YARN-6599. Support anti-affinity constraint via AppPlacementAllocator. (Wangda Tan via asuresh) 7 年之前
hadoop-yarn-common c7101fe21b YARN-7879. NM user is unable to access the application filecache due to permissions. Contributed by Jason Lowe. 7 年之前
hadoop-yarn-registry 4304fcd5bd HDFS-12990. Change default NameNode RPC port back to 8020. Contributed by Xiao Chen. 7 年之前
hadoop-yarn-server 456705a07c YARN-7815. Make the YARN mounts added to Docker containers more restrictive. Contributed by Shane Kumpf 7 年之前
hadoop-yarn-site aa461f9091 YARN-7516. Add security check for trusted docker images. Contributed by Eric Yang 7 年之前
hadoop-yarn-ui 72415c39cf YARN-7866. [UI2] Error to be displayed correctly while accessing kerberized cluster without kinit. Contributed by Sunil G. 7 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 40ab068eab YARN-7091. Rename application to service in yarn-native-services. Contributed by Jian He 7 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