数据仓库-Hive基础(八) UDF开发实例
2020-06-23 本文已影响0人
做个合格的大厂程序员
简单UDF示例
第一步:创建maven java 工程,导入jar包
<repositories>
<repository>
<id>cloudera</id>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0-cdh5.14.0</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>1.1.0-cdh5.14.0</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.0</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
<encoding>UTF-8</encoding>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.2</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*/RSA</exclude>
</excludes>
</filter>
</filters>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
第二步:开发java类继承UDF,并重载evaluate 方法
public class ItcastUDF extends UDF {
public Text evaluate(final Text s) {
if (null == s) {
return null;
}
//返回大写字母
return new Text(s.toString().toUpperCase());
}
}
第三步:将我们的项目打包,并上传到hive的lib目录下
image第四步:添加jar包
重命名我们的jar包名称
cd /export/servers/hive-1.1.0-cdh5.14.0/lib
mv original-day_06_hive_udf-1.0-SNAPSHOT.jar udf.jar
hive的客户端添加我们的jar包
add jar /export/servers/hive-1.1.0-cdh5.14.0/lib/udf.jar;
第五步:设置函数与我们的自定义函数关联
create temporary function tolowercase as 'cn.itcast.udf.ItcastUDF';
第六步:使用自定义函数
select tolowercase('abc');