Masatake Iwasaki 4468378e4b YARN-10500. TestDelegationTokenRenewer fails intermittently. (#2619) před 4 roky
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bin 8c9018d5c7 YARN-9899. Migration tool that help to generate CS config based on FS config [Phase 2]. Contributed by Peter Bacsko před 5 roky
conf ed19f63998 HADOOP-17277. Correct spelling errors for separator (#2322) před 4 roky
dev-support e95ee67632 Make upstream aware of 3.2.2 release. před 4 roky
hadoop-yarn-api d3c7cb7c38 [YARN-10607] User environment is unable to prepend PATH when mapreduce.admin.user.env also sets PATH. Contributed by Eric Badger. před 4 roky
hadoop-yarn-applications bdd22b61c2 HADOOP-17432. [JDK 16] KerberosUtil#getOidInstance is broken by JEP 396 (#2546) před 4 roky
hadoop-yarn-client bdd22b61c2 HADOOP-17432. [JDK 16] KerberosUtil#getOidInstance is broken by JEP 396 (#2546) před 4 roky
hadoop-yarn-common d3c7cb7c38 [YARN-10607] User environment is unable to prepend PATH when mapreduce.admin.user.env also sets PATH. Contributed by Eric Badger. před 4 roky
hadoop-yarn-csi b84bc63aa2 HADOOP-17344. Harmonize guava version and shade guava in yarn-csi. (#2434) před 4 roky
hadoop-yarn-registry dfa7f160a5 Preparing for 3.3.1 development před 5 roky
hadoop-yarn-server 4468378e4b YARN-10500. TestDelegationTokenRenewer fails intermittently. (#2619) před 4 roky
hadoop-yarn-site c5b9c5dfe5 YARN-10511. Update yarn.nodemanager.env-whitelist value in docs (#2512) před 4 roky
hadoop-yarn-ui 3748c258f9 YARN-10560. Upgrade node.js to 10.23.1 and yarn to 1.22.5 in Web UI v2. (#2592) před 4 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 db04195afd HADOOP-17394. [JDK 11] Fix error in mvn package -Pdocs (#2488) před 4 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