Apache Pig Tutorial
Apache Pig Introduction
Apache Pig Environment
Pig Latin
Load & Store Operators
Diagnostic Operators
Grouping & Joining
Combining & Splitting
Filtering
Sorting
Pig Latin Built-In Functions
Other Modes Of Execution
Apache Pig Useful Resources
Selected Reading
Apache Pig Introduction
Apache Pig Environment
Pig Latin
Load & Store Operators
Diagnostic Operators
- Apache Pig - Illustrate Operator
- Apache Pig - Explain Operator
- Apache Pig - Describe Operator
- Apache Pig - Diagnostic Operator
Grouping & Joining
- Apache Pig - Cross Operator
- Apache Pig - Join Operator
- Apache Pig - Cogroup Operator
- Apache Pig - Group Operator
Combining & Splitting
Filtering
Sorting
Pig Latin Built-In Functions
- Apache Pig - Math Functions
- Apache Pig - date-time Functions
- Apache Pig - String Functions
- Apache Pig - Bag & Tuple Functions
- Load & Store Functions
- Apache Pig - Eval Functions
Other Modes Of Execution
Apache Pig Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Apache Pig - Illustrate Operator
Apache Pig - Illustrate Operator
The illustrate operator gives you the step-by-step execution of a sequence of statements.
Syntax
Given below is the syntax of the illustrate operator.
grunt> illustrate Relation_name;
Example
Assume we have a file student_data.txt in HDFS with the following content.
001,Rajiv,Reddy,9848022337,Hyderabad 002,siddarth,Battacharya,9848022338,Kolkata 003,Rajesh,Khanna,9848022339,Delhi 004,Preethi,Agarwal,9848022330,Pune 005,Trupthi,Mohanthy,9848022336,Bhuwaneshwar 006,Archana,Mishra,9848022335,Chennai.
And we have read it into a relation student using the LOAD operator as shown below.
grunt> student = LOAD hdfs://localhost:9000/pig_data/student_data.txt USING PigStorage( , ) as ( id:int, firstname:chararray, lastname:chararray, phone:chararray, city:chararray );
Now, let us illustrate the relation named student as shown below.
grunt> illustrate student;
Output
On executing the above statement, you will get the following output.
grunt> illustrate student; INFO org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigMapOnly$M ap - Apases being processed per job phase (ApasName[pne,offset]): M: student[1,10] C: R: --------------------------------------------------------------------------------------------- |student | id:int | firstname:chararray | lastname:chararray | phone:chararray | city:chararray | --------------------------------------------------------------------------------------------- | | 002 | siddarth | Battacharya | 9848022338 | Kolkata | ---------------------------------------------------------------------------------------------Advertisements