Deduplicating entries using Map/Reduce components
This scenario applies only to subscription-based Talend Platform products with Big Data and Talend Data Fabric.
This scenario illustrates how to create a
Talend
Map/Reduce Job to deduplicate entries, that is to say, to use Map/Reduce
components to generate Map/Reduce code and run the Job right in Hadoop.
Note that the
Talend
Map/Reduce components are available to subscription-based Big Data users only
and this scenario can be replicated only with Map/Reduce components.
|
1 2 3 4 5 6 7 8 9 10 11 |
1;Harry;Ford;68;Albany 2;Franklin;Wilson;79;Juneau 3;Ulysses;Roosevelt;25;Harrisburg 4;Harry;Ford;48;Olympia 5;Martin;Reagan;75;Columbia 6;Woodrow;Roosevelt;63;Harrisburg 7;Grover;McKinley;98;Atlanta 8;John;Taft;93;Montpelier 9;Herbert;Johnson;85;Lincoln 10;Grover;McKinley;33;Lansing |
Since
Talend Studio
allows you to convert a Job between its Map/Reduce and Standard (Non
Map/Reduce) versions, you can convert the scenario explained earlier to create this
Map/Reduce Job. This way, many components used can keep their original settings so as to
reduce your workload in designing this Job.
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: