Pig开发指南
1. 简单示例
- 上传数据到hdfs目录
[hadoop@uhadoop-******-master1 pig]$ hadoop fs -put /etc/passwd /user/hadoop/passwd- 启动pig
[hadoop@uhadoop-******-master1 pig]$ pig- 加载数据
grunt> A = load 'passwd' using PigStorage(':');
grunt> dump A;显示结果:
(root,x,0,0,root,/root,/bin/bash)
……2. 使用UDF
- 准备数据
student 文件内容
any 9 5
bob 8 4上传student文件
hdfs dfs -put student /user/root/student- 示例代码
package myudfs;
import java.io.IOException;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.Tuple;
public class UPPER extends EvalFunc<String>
{
public String exec(Tuple input) throws IOException {
if (input == null || input.size() == 0 || input.get(0) == null)
return null;
try{
String str = (String)input.get(0);
return str.toUpperCase();
}catch(Exception e){
throw new IOException("Caught exception processing input row ", e);
}
}
}- 编译
cd myudfs
javac -cp $ PIG_HOME/pig-0.12.0-cdh5.4.4.jar UPPER.java
cd ..
jar -cf myudfs.jar myudfs测试脚本upper.pig
REGISTER myudfs.jar;
A = LOAD 'student' AS (name: chararray, age: int, gpa: float);
B = FOREACH A GENERATE myudfs.UPPER(name);
DUMP B;- 执行
pig upper.pig-
输出结果
(ANY 9 5) (BOB 8 4)