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Hadoop Real-World Solutions Cookbook- Second Edition

You're reading from   Hadoop Real-World Solutions Cookbook- Second Edition Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout

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Product type Paperback
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Length 290 pages
Edition 2nd Edition
Tools
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Author (1):
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Tanmay Deshpande Tanmay Deshpande
Author Profile Icon Tanmay Deshpande
Tanmay Deshpande
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Table of Contents (12) Chapters Close

Preface 1. Getting Started with Hadoop 2.X FREE CHAPTER 2. Exploring HDFS 3. Mastering Map Reduce Programs 4. Data Analysis Using Hive, Pig, and Hbase 5. Advanced Data Analysis Using Hive 6. Data Import/Export Using Sqoop and Flume 7. Automation of Hadoop Tasks Using Oozie 8. Machine Learning and Predictive Analytics Using Mahout and R 9. Integration with Apache Spark 10. Hadoop Use Cases Index

Performing Order By queries in Pig


In this recipe, we will use the Order By operator in Pig scripts to get the desired output.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as the latest version of Pig installed on it.

How to do it..

Order By is a very useful operator for data analysis when it comes to sequencing data records based on their values for certain attributes. In order to sequence the records in the proper order, Pig supports Order By.

To learn its usage, we will use the dataset that we took a look at in the previous recipe; in case you don't have the employee dataset, you can perform the following actions.

First of all, load the data in HDFS:

hadoop fs -mkdir /pig/emps_data
hadoop fs -put emps.txt /pig/emps_data

Next, we load data into a bag called emps, and then perform the Order By operation on this data on the basis of salary:

emps = LOAD '/pig/emps_data/emps.txt' AS (id, name, dept, salary);

Next, we will sequence the data by salary. We can...

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