HUAN-PING SU 4239007349 YARN-9787. Typo in analysesErrorMsg. Contributed by kevin su. 5 年之前
..
bin d331a2a0c2 YARN-9528. Federation RMs starting up at the same time can give duplicate application IDs. Contributed by Young Chen. 6 年之前
conf 6d7f01c92d YARN-9771. Add GPU in the container-executor.cfg example. Contributed by Julia Kinga Marton 5 年之前
dev-support 062eb605ac YARN-9477. Implement VE discovery using libudev. Contributed by Peter Bacsko. 6 年之前
hadoop-yarn-api 10144a580e YARN-9728. Bugfix for escaping illegal xml characters for Resource Manager REST API. 5 年之前
hadoop-yarn-applications 2e2e5401f2 YARN-9718. Fixed yarn.service.am.java.opts shell injection. Contributed by Eric Yang 5 年之前
hadoop-yarn-client 0e0ddfaf24 YARN-2599. Standby RM should expose jmx endpoint. Contributed by Rohith Sharma K S. 5 年之前
hadoop-yarn-common 10144a580e YARN-9728. Bugfix for escaping illegal xml characters for Resource Manager REST API. 5 年之前
hadoop-yarn-csi afd844059c HADOOP-16331. Fix ASF License check in pom.xml 6 年之前
hadoop-yarn-registry afd844059c HADOOP-16331. Fix ASF License check in pom.xml 6 年之前
hadoop-yarn-server 4239007349 YARN-9787. Typo in analysesErrorMsg. Contributed by kevin su. 5 年之前
hadoop-yarn-site 3db7184082 YARN-9804. Update ATSv2 document for latest feature supports. 5 年之前
hadoop-yarn-ui 1c5b28659f YARN-9729. [UI2] Fix error message for logs when ATSv2 is offline. Contributed by Zoltan Siegl. 5 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 afd844059c HADOOP-16331. Fix ASF License check in pom.xml 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