Sangjin Lee 22e7ae5771 YARN-3792. Test case failures in TestDistributedShell and some issue fixes related to ATSV2 (Naganarasimha G R via sjlee) vor 10 Jahren
..
bin a0035661c1 HADOOP-13349. HADOOP_CLASSPATH vs HADOOP_USER_CLASSPATH (aw) vor 9 Jahren
conf 23c3ff85a9 HADOOP-13209. replace slaves with workers (John Smith via aw) vor 9 Jahren
dev-support 41fb5c7381 YARN-3134. Implemented Phoenix timeline writer to access HBase backend. Contributed by Li Lu. vor 9 Jahren
hadoop-yarn-api f3c661e8dd YARN-3044. Made RM write app, attempt and optional container lifecycle events to timeline service v2. Contributed by Naganarasimha G R. vor 9 Jahren
hadoop-yarn-applications 22e7ae5771 YARN-3792. Test case failures in TestDistributedShell and some issue fixes related to ATSV2 (Naganarasimha G R via sjlee) vor 9 Jahren
hadoop-yarn-client 2188a07e5b YARN-3333. Rename TimelineAggregator etc. to TimelineCollector. Contributed by Sangjin Lee vor 9 Jahren
hadoop-yarn-common 22e7ae5771 YARN-3792. Test case failures in TestDistributedShell and some issue fixes related to ATSV2 (Naganarasimha G R via sjlee) vor 9 Jahren
hadoop-yarn-registry 8c8a377cac YARN-5206. RegistrySecurity includes id:pass in exception text if considered invalid. Contributed by Steve Loughran vor 9 Jahren
hadoop-yarn-server 22e7ae5771 YARN-3792. Test case failures in TestDistributedShell and some issue fixes related to ATSV2 (Naganarasimha G R via sjlee) vor 9 Jahren
hadoop-yarn-site 8e672e3c71 YARN-5286. Add RPC port info in RM web service's response when getting app status. (Jun Gong via Varun Saxena). vor 9 Jahren
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) vor 9 Jahren
README 8451ab5c01 HADOOP-9872. Improve protoc version handling and detection. (tucu) vor 11 Jahren
pom.xml 23c3ff85a9 HADOOP-13209. replace slaves with workers (John Smith via aw) vor 9 Jahren

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