DataFu for Pig and Hadoop
Written by Kay Ewbank   
Tuesday, 17 January 2012

User-defined functions for performing data analysis on Hadoop using Apache Pig have been put together in an open source library called DataFu, courtesy of LinkedIn’s engineering group.

In a blog post announcing the availability of DataFu, Senior Software Engineer Matthew Hayes, explains  that LinkedIn makes extensive use of Apache Pig for performing data analysis on Hadoop.

Pig is a simple, high-level programming language that consists of just a few dozen operators and makes it easy to write MapReduce jobs, and should be more popular if for no better reason than the fact you enter commands at the Grunt> prompt.

Pig has been designed so that programs written in it have a structure that can make use of parallel processing on a large scale, so the apps can handle very large data sets.

 

pighadoodp

 

While the language is simple, you can write your own user defined functions to add custom code in Java, Python, and JavaScript into your Pig scripts.

According to the blog, as the team at LinkedIn worked on data intensive products for LinkedIn such as “People You May Know” and “Skills”, the programmers developed a large number of UDFs, and these have been consolidated into a single, general-purpose library called DataFu which LinkedIn has made under open source.

DataFu includes UDFs for common statistics tasks, PageRank, set operations, bag operations, and a suite of tests. A pig bag is a collection of tuples (ordered sets of fields). Pig differs from normal relational databases in that you don’t have tables, you have pig relations, and the tuples correspond to the rows in the table. However, Pig relations don't require that every tuple contain the same number of fields or that fields in the same position have the same type. The UDFs in the library let you perform operations on bags such as append a tuple, prepend a tuple, concatenate bags, and generate unordered pairs.

Other UDFs give you the means to run PageRank on independent graphs; to perform set operations such as intersect and union, and to compute the haversine distance between two points on the globe.

You can download the library here: https://github.com/linkedin/datafu, and the blog post comes with examples of how to use some of the functions to get you started.

 

pighadoodp

Related News

Hadoop CTP for Azure

Hadoop gets to 1.0

Pig and Hadoop support in Amazon Elastic MapReduce

 

raspberry pi books

 

Comments




or email your comment to: comments@i-programmer.info

 

To be informed about new articles on I Programmer, subscribe to the RSS feed, follow us on Google+, Twitter, Linkedin or Facebook or sign up for our weekly newsletter.

 

Banner


Open Source Key To Expansion of IoT & Edge
13/03/2024

According to the 2023 Eclipse IoT & Edge Commercial Adoption Survey Report, last year saw a surge of IoT adoption among commercial organizations across a wide range of industries. Open source [ ... ]



AWS Introduces A New JavaScript Runtime For Lambda
19/03/2024

Amazon has announced the availability, albeit for experimental purposes, of a new JavaScript based runtime called Low Latency Runtime or LLRT for short, to bring JavaScript up to the performance throu [ ... ]


More News

<ASIN:1449389732>

<ASIN:1935182196>

<ASIN:1430219424>

<ASIN:1449311520>

Last Updated ( Tuesday, 17 January 2012 )