Example usage for org.apache.hadoop.mapreduce Reducer subclass-usage

Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce Reducer subclass-usage.

Usage

From source file Assignment5_P3_PartitionPattern.Partition_IPAddress_By_Month_Reducer.java

/**
 *
 * @author Chintan
 */
public class Partition_IPAddress_By_Month_Reducer extends Reducer<IntWritable, Text, Text, NullWritable> {

From source file Assignment5_P6_StructureToHierarchyPattern.Structure_Hierarchy_Reducer.java

/**
 *
 * @author Chintan
 */
public class Structure_Hierarchy_Reducer extends Reducer<Text, Text, Text, Text> {

From source file averagerating_youtube.AvgRating_CommCountCombiner.java

/**
 *
 * @author Rajat
 */
public class AvgRating_CommCountCombiner
        extends Reducer<Text, AverageRating_CommentCountTuple, Text, AverageRating_CommentCountTuple> {

From source file averagerating_youtube.AvgRating_CommCountReducer.java

/**
 *
 * @author Rajat
 */
public class AvgRating_CommCountReducer
        extends Reducer<Text, AverageRating_CommentCountTuple, Text, AverageRating_CommentCountTuple> {

From source file awshamondsidefunctions.AWSDiamondReducer.java

/**
 *
 * @author yujia1986
 */
public class AWSDiamondReducer extends Reducer<Text, Text, Text, Text> {

From source file be.uantwerpen.adrem.bigfim.AprioriPhaseReducer.java

/**
 * Reducer class for Apriori phase of BigFIM. This reducer combines the supports of length+1 candidates from different
 * mappers and writes the sets with their cumulated supports when frequent.
 * 
 * <pre>
 * {@code

From source file be.uantwerpen.adrem.bigfim.ComputeTidListReducer.java

/**
 * Reducer for the second phase of BigFIM. This reducer combines partial tid lists received from different mappers for a
 * given itemset. The complete tid list is obtained by multiplying the mapper id with an offset representing the maximal
 * size of a sub database then adding the sub tid.
 * 
 * <pre>

From source file be.uantwerpen.adrem.disteclat.ItemReaderReducer.java

/**
 * Reducer for the first cycle for DistEclat. It receives the complete set of frequent singletons from the different
 * mappers. The frequent singletons are sorted on ascending frequency and distributed among a number of map-tasks.
 * 
 * <pre>
 * {@code

From source file be.uantwerpen.adrem.disteclat.PrefixComputerReducer.java

/**
 * Reducer class for the second cycle of DistEclat. It receives complete prefix groups and the items in the groups with
 * their respective ids. For each of the groups it assigns computation of the supersets (Eclat phase) to different
 * buckets (Mappers), such that a new group is assigned to the bucket with the lowest workload.
 * 
 * <pre>

From source file be.uantwerpen.adrem.eclat.EclatMinerReducer.java

/**
 * Reducer class for Eclat phase of BigFIM and DistEclat. It cumulates all itemsets reported as compressed tree strings
 * and writes them to file.
 * 
 * <pre>
 * {@code