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SPLIT 运算符用于将关系拆分为两个或多个关系。

语法

下面给出了 SPLIT 运算符的语法。

grunt> SPLIT Relation1_name INTO Relation2_name IF (condition1), Relation2_name (condition2),

假设在HDFS目录 /pig_data/ 中有一个名为 student_details.txt 的文件,如下所示。

student_details.txt

001,Rajiv,Reddy,21,9848022337,Hyderabad
002,siddarth,Battacharya,22,9848022338,Kolkata
003,Rajesh,Khanna,22,9848022339,Delhi 
004,Preethi,Agarwal,21,9848022330,Pune 
005,Trupthi,Mohanthy,23,9848022336,Bhuwaneshwar 
006,Archana,Mishra,23,9848022335,Chennai 
007,Komal,Nayak,24,9848022334,trivendram 
008,Bharathi,Nambiayar,24,9848022333,Chennai

通过关系 student_details 将此文件加载到Pig中,如下所示。

student_details = LOAD 'hdfs://localhost:9000/pig_data/student_details.txt' USING PigStorage(',')
   as (id:int, firstname:chararray, lastname:chararray, age:int, phone:chararray, city:chararray); 

现在,让我们将关系分为两个,一个列出年龄小于23岁的员工,另一个列出年龄在22到25岁之间的员工。

SPLIT student_details into student_details1 if age<23, student_details2 if (22<age and age>25);

验证

使用 DUMP 操作符验证关系 student_details1 student_details2 ,如下所示。

grunt> Dump student_details1;  

grunt> Dump student_details2; 

输出

它将产生以下输出,分别显示关系 student_details1 student_details2 的内容。

grunt> Dump student_details1; 
(1,Rajiv,Reddy,21,9848022337,Hyderabad) 
(2,siddarth,Battacharya,22,9848022338,Kolkata)
(3,Rajesh,Khanna,22,9848022339,Delhi) 
(4,Preethi,Agarwal,21,9848022330,Pune)
  
grunt> Dump student_details2; 
(5,Trupthi,Mohanthy,23,9848022336,Bhuwaneshwar) 
(6,Archana,Mishra,23,9848022335,Chennai) 
(7,Komal,Nayak,24,9848022334,trivendram) 
(8,Bharathi,Nambiayar,24,9848022333,Chennai)