Counting words using custom map and reduce code (deprecated)

Counting words using custom map and reduce code (deprecated) - 7.3

Java custom code for Map Reduce

Version

7.3

Language

English

Product

Talend Big Data

Talend Big Data Platform

Talend Data Fabric

Talend Real-Time Big Data Platform

Module

Talend Studio

Content

Data Governance > Third-party systems > Custom code components (Integration) > Java custom code component for Map Reduce

Data Quality and Preparation > Third-party systems > Custom code components (Integration) > Java custom code component for Map Reduce

Design and Development > Third-party systems > Custom code components (Integration) > Java custom code component for Map Reduce

Last publication date

2024-02-21

Deprecated

This scenario applies only to Talend products with Big Data.

For more technologies supported by Talend, see Talend components.

Inspired by the MapReduce example explained in Apache's documentation on http://wiki.apache.org/hadoop/WordCount, this scenario demonstrates how to use tJavaMR to create a MapReduce program to count words.

The sample data to be used in this scenario reads as follows:

Hello world goodbye world
Hello hadoop bye Hadoop

Before starting to replicate this scenario, ensure that you have appropriate rights and permissions to access the Hadoop distribution to be used. Then proceed as follows: