Apache Pig - Running Scripts


Here in this chapter, we will see how how to run Apache Pig scripts in batch mode.

Comments in Pig Script

While writing a script in a file, we can include comments in it as shown below.

Multi-line comments

We will begin the multi-line comments with '/*', end them with '*/'.

/* These are the multi-line comments 
  In the pig script */ 

Single –line comments

We will begin the single-line comments with '--'.

--we can write single line comments like this.

Executing Pig Script in Batch mode

While executing Apache Pig statements in batch mode, follow the steps given below.

Step 1

Write all the required Pig Latin statements in a single file. We can write all the Pig Latin statements and commands in a single file and save it as .pig file.

Step 2

Execute the Apache Pig script. You can execute the Pig script from the shell (Linux) as shown below.

Local mode MapReduce mode
$ pig -x local Sample_script.pig $ pig -x mapreduce Sample_script.pig

You can execute it from the Grunt shell as well using the exec command as shown below.

grunt> exec /sample_script.pig

Executing a Pig Script from HDFS

We can also execute a Pig script that resides in the HDFS. Suppose there is a Pig script with the name Sample_script.pig in the HDFS directory named /pig_data/. We can execute it as shown below.

$ pig -x mapreduce hdfs://localhost:9000/pig_data/Sample_script.pig 


Assume we have a file student_details.txt in HDFS with the following content.



We also have a sample script with the name sample_script.pig, in the same HDFS directory. This file contains statements performing operations and transformations on the student relation, as shown below.

student = LOAD 'hdfs://localhost:9000/pig_data/student_details.txt' USING PigStorage(',')
   as (id:int, firstname:chararray, lastname:chararray, phone:chararray, city:chararray);
student_order = ORDER student BY age DESC;
student_limit = LIMIT student_order 4;
Dump student_limit;
  • The first statement of the script will load the data in the file named student_details.txt as a relation named student.

  • The second statement of the script will arrange the tuples of the relation in descending order, based on age, and store it as student_order.

  • The third statement of the script will store the first 4 tuples of student_order as student_limit.

  • Finally the fourth statement will dump the content of the relation student_limit.

Let us now execute the sample_script.pig as shown below.

$./pig -x mapreduce hdfs://localhost:9000/pig_data/sample_script.pig

Apache Pig gets executed and gives you the output with the following content.

2015-10-19 10:31:27,446 [main] INFO  org.apache.pig.Main - Pig script completed in 12
minutes, 32 seconds and 751 milliseconds (752751 ms)