Jim Brennan 3fcc7a55b6 [YARN-10626] Log resource allocation in NM log at container start time. Contributed by Eric Badger 4 年之前
..
bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko 5 年之前
conf 474fa80bfb HADOOP-17277. Correct spelling errors for separator (#2322) 4 年之前
dev-support ec22850dbe Make upstream aware of 3.2.2 release. 4 年之前
hadoop-yarn-api c22c77af43 [YARN-10607] User environment is unable to prepend PATH when mapreduce.admin.user.env also sets PATH. Contributed by Eric Badger. 4 年之前
hadoop-yarn-applications 52217fce3d HADOOP-17432. [JDK 16] KerberosUtil#getOidInstance is broken by JEP 396 (#2546) 4 年之前
hadoop-yarn-client 52217fce3d HADOOP-17432. [JDK 16] KerberosUtil#getOidInstance is broken by JEP 396 (#2546) 4 年之前
hadoop-yarn-common c22c77af43 [YARN-10607] User environment is unable to prepend PATH when mapreduce.admin.user.env also sets PATH. Contributed by Eric Badger. 4 年之前
hadoop-yarn-csi 4331c88352 HADOOP-17344. Harmonize guava version and shade guava in yarn-csi. (#2434) 4 年之前
hadoop-yarn-registry 8914cf9167 Preparing for 3.4.0 development 5 年之前
hadoop-yarn-server 3fcc7a55b6 [YARN-10626] Log resource allocation in NM log at container start time. Contributed by Eric Badger 4 年之前
hadoop-yarn-site 9170eb566b YARN-10511. Update yarn.nodemanager.env-whitelist value in docs (#2512) 4 年之前
hadoop-yarn-ui 98ca6afd17 YARN-10618. RM UI2 Application page shows the AM preempted containers instead of the nonAM ones. Contributed by Benjamin Teke 4 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 2ce2198287 HADOOP-17394. [JDK 11] Fix error in mvn package -Pdocs (#2488) 4 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