Github user witgo commented on the pull request:
https://github.com/apache/spark/pull/502#issuecomment-41239453
@berngp
Most of the people uses the same version of HDFS vs YARN.
We can be so
```xml
<hadoop.version>1.0.4</hadoop.version>
<yarn.version>${hadoop.version}</yarn.version>
```
```xml
<profile>
<id>yarn-alpha</id>
<properties>
<hadoop.major.version>2</hadoop.major.version>
<hadoop.version>0.23.7</hadoop.version>
</properties>
<modules>
<module>yarn</module>
</modules>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-api</artifactId>
<version>${yarn.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-common</artifactId>
<version>${yarn.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-yarn-client</artifactId>
<version>${yarn.version}</version>
</dependency>
</dependencies>
</dependencyManagement>
</profile>
```
Most of the people use `mvn -Pyarn -Dhadoop.version=2.3.0 -DskipTests clean
package`.
Others use`mvn -Pyarn -Dhadoop.version=2.3.0 -DskipTests
-Dyarn.version=0.23.9 clean package`.
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