Inigo Goiri b272b71095 HADOOP-15537. Clean up ContainerLaunch and ContainerExecutor pre-HADOOP-15528. Contributed by Giovanni Matteo Fumarola. před 7 roky
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bin 60e5c1b516 YARN-7773. YARN Federation used Mysql as state store throw exception, Unknown column 'homeSubCluster' in 'field list'. Contributed by Yiran Wu. před 7 roky
conf 31998643a5 YARN-8342. Enable untrusted docker image to run with launch command. Contributed by Eric Yang před 7 roky
dev-support 6cf023f9b7 Added CHANGES/RELEASES/Jdiff for 3.1.0 release před 7 roky
hadoop-yarn-api 24a89825f0 YARN-6931. Make the aggregation interval in AppLevelTimelineCollector configurable. (Abhishek Modi via Haibo Chen) před 7 roky
hadoop-yarn-applications 69b0596897 YARN-8411. Restart stopped system service during RM start. před 7 roky
hadoop-yarn-client 652bcbb3e4 YARN-8363. Upgrade commons-lang version to 3.7 in hadoop-yarn-project. Contributed by Takanobu Asanuma. před 7 roky
hadoop-yarn-common 361ffb26be YARN-8426:Upgrade jquery-ui to 1.12.1 in YARN. Contributed by Sunil Govindan před 7 roky
hadoop-yarn-registry 9591765040 YARN-8410. Fixed a bug in A record lookup by CNAME record. před 7 roky
hadoop-yarn-server b272b71095 HADOOP-15537. Clean up ContainerLaunch and ContainerExecutor pre-HADOOP-15528. Contributed by Giovanni Matteo Fumarola. před 7 roky
hadoop-yarn-site 22994889dc YARN-8259. Improve privileged docker container liveliness checks. před 7 roky
hadoop-yarn-ui b3612dd90c YARN-8419. [UI2] User cannot submit a new service as submit button is always disabled. Contributed by Suma Shivaprasad. před 7 roky
shellprofile.d 730bc746f9 HADOOP-12930. Dynamic subcommands for hadoop shell scripts (aw) před 9 roky
README c9b525bd94 YARN-6943. Update Yarn to YARN in documentation. Contributed by Chetna Chaudhari. před 7 roky
pom.xml 60f9e60b3b Preparing for 3.2.0 development před 7 roky

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