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You're reading from  Hadoop Real-World Solutions Cookbook - Second Edition

Product typeBook
Published inMar 2016
Publisher
ISBN-139781784395506
Edition2nd Edition
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Author (1)
Tanmay Deshpande
Tanmay Deshpande
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Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande

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Map Reduce program to find distinct values


In this recipe, we are going to learn how to write a map reduce program to find distinct values from a given set of data.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as an eclipse that is similar to an IDE.

How to do it

Sometimes, there may be a chance that the data you have contains some duplicate values. In SQL, we have something called a distinct function, which helps us get distinct values. In this recipe, we are going to take a look at how we can get distinct values using map reduce programs.

Let's consider a use case where we have some user data with us, which contains two columns: userId and username. Let's assume that the data we have contains duplicate records, and for our processing needs, we only need distinct records through user IDs. Here is some sample data that we have where columns are separated by '|':

1|Tanmay
2|Ramesh
3|Ram
1|Tanmay
2|Ramesh
6|Rahul
6|Rahul
4|Sneha
4|Sneha

The idea here is to...

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Hadoop Real-World Solutions Cookbook - Second Edition
Published in: Mar 2016Publisher: ISBN-13: 9781784395506

Author (1)

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Tanmay Deshpande

Tanmay Deshpande is a Hadoop and big data evangelist. He currently works with Schlumberger as a Big Data Architect in Pune, India. He has interest in a wide range of technologies, such as Hadoop, Hive, Pig, NoSQL databases, Mahout, Sqoop, Java, cloud computing, and so on. He has vast experience in application development in various domains, such as oil and gas, finance, telecom, manufacturing, security, and retail. He enjoys solving machine-learning problems and spends his time reading anything that he can get his hands on. He has great interest in open source technologies and has been promoting them through his talks. Before Schlumberger, he worked with Symantec, Lumiata, and Infosys. Through his innovative thinking and dynamic leadership, he has successfully completed various projects. He regularly blogs on his website http://hadooptutorials.co.in. You can connect with him on LinkedIn at https://www.linkedin.com/in/deshpandetanmay/. He has also authored Mastering DynamoDB, published in August 2014, DynamoDB Cookbook, published in September 2015, Hadoop Real World Solutions Cookbook-Second Edition, published in March 2016, Hadoop: Data Processing and Modelling, published in August, 2016, and Hadoop Blueprints, published in September 2016, all by Packt Publishing.
Read more about Tanmay Deshpande