MapReduce Mapper Assignment

Motivation

In previous semesters the MapReduce lab has proven to be the most challenging. We have split things up to allow you to get familiar with the how Mappers and Reducers work first. We will build a card mapper that matches the spec outlined in the prep video, a simple word counting mapper, an analogous k-mer counting mapper, and an integer sum reducer to wrap things up.

The k-mer counting mapper will prepare us for (and hopefully lessen the burden of) upcoming lab 6.

Code To Implement

Card Mapper

class:	CardMapper.java
methods:	map
package:	mapreduce.apps.intsum.cards.studio
source folder:	student/src/main/java

method: public void map(Deck deck, BiConsumer<Suit, Integer> keyValuePairConsumer) (sequential implementation only)

Word Count Mapper

class:	WordCountMapper.java
methods:	map
package:	mapreduce.apps.intsum.wordcount.studio
source folder:	student/src/main/java

method: public void map(TextSection textSection, BiConsumer<String, Integer> keyValuePairConsumer) (sequential implementation only)

K-mer Count Mapper

class:	KMerMapper.java
methods:	map
package:	mapreduce.apps.intsum.kmer.studio
source folder:	student/src/main/java

method: public void map(byte[] sequence, BiConsumer<String, Integer> keyValuePairConsumer) (sequential implementation only)

Int Sum Reducer

class:	IntegerSumClassicReducer.java
methods:	finisher
package:	mapreduce.apps.intsum.studio
source folder:	student/src/main/java

method: public Function<List<Integer>, Integer> finisher() (sequential implementation only)

Testing Your Solution

Correctness

class:	IntSumStudioTestSuite.java
package:	mapreduce
source folder:	testing/src/test/java