hadoop/hadoop-yarn-project/hadoop-yarn
Haibo Chen 8793e45f53 YARN-5094. some YARN container events have timestamp of -1.
(cherry picked from commit 4aca4ff759)
2018-01-19 10:29:33 -08:00
..
bin YARN-7190. Ensure only NM classpath in 2.x gets TSv2 related hbase jars, not the user classpath. Contributed by Varun Saxena. 2017-12-15 22:17:43 +05:30
conf YARN-6623. Add support to turn off launching privileged containers in the container-executor. (Varun Vasudev via wangda) 2017-09-28 16:46:23 -07:00
dev-support Add 2.8.3 release jdiff files. 2017-12-18 22:40:04 -08:00
hadoop-yarn-api YARN-6736. Consider writing to both ats v1 & v2 from RM for smoother upgrades. Contributed by Aaron Gresch. 2018-01-16 08:42:07 +05:30
hadoop-yarn-applications YARN-6736. Consider writing to both ats v1 & v2 from RM for smoother upgrades. Contributed by Aaron Gresch. 2018-01-16 08:42:07 +05:30
hadoop-yarn-client YARN-6736. Consider writing to both ats v1 & v2 from RM for smoother upgrades. Contributed by Aaron Gresch. 2018-01-16 08:42:07 +05:30
hadoop-yarn-common YARN-6736. Consider writing to both ats v1 & v2 from RM for smoother upgrades. Contributed by Aaron Gresch. 2018-01-16 08:42:07 +05:30
hadoop-yarn-registry Preparing for 3.0.1 development 2017-11-14 11:17:18 -08:00
hadoop-yarn-server YARN-5094. some YARN container events have timestamp of -1. 2018-01-19 10:29:33 -08:00
hadoop-yarn-site YARN-7735. Fix typo in YARN documentation. Contributed by Takanobu Asanuma. 2018-01-11 15:59:55 +09:00
hadoop-yarn-ui YARN-7674. Update Timeline Reader web app address in UI2. Contributed by Sunil G. 2017-12-20 22:29:23 +05:30
shellprofile.d HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) 2016-05-16 17:54:45 -07:00
README YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. 2017-10-04 07:02:31 +09:00
pom.xml Preparing for 3.0.1 development 2017-11-14 11:17:18 -08:00

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