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 com.cloudera.sa.securewordcount.IntSumReducer.java

/**
 *
 * @author vsingh
 */
class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> {

From source file com.cloudera.sqoop.mapreduce.MergeReducer.java

/**
 * Reducer for merge tool. Given records tagged as 'old' or 'new', emit
 * a new one if possible; otherwise, an old one.
 */
public class MergeReducer extends Reducer<Text, MergeRecord, SqoopRecord, NullWritable> {

From source file com.cloudera.traffic.AveragerReducer.java

public class AveragerReducer extends Reducer<Text, AverageWritable, Text, AverageWritable> {

    private AverageWritable outAverage = new AverageWritable();

    @Override
    public void reduce(Text key, Iterable<AverageWritable> averages, Context context)

From source file com.conversantmedia.mapreduce.example.avro.AvroWordCountReducer.java

/**
 *
 *
 */
@Service
public class AvroWordCountReducer extends Reducer<Text, LongWritable, AvroKey<AvroExample>, NullWritable> {

From source file com.conversantmedia.mapreduce.example.WordCountReducer.java

/**
 *
 *
 */
public class WordCountReducer extends Reducer<Text, LongWritable, Text, LongWritable> {
    @Override

From source file com.conversantmedia.mapreduce.example.WordCountReducerWithMinimum.java

/**
 *
 *
 */
@ReducerService
public class WordCountReducerWithMinimum extends Reducer<Text, LongWritable, Text, LongWritable> {

From source file com.conversantmedia.mapreduce.tool.AnnotatedDelegatingCombiner.java

/**
 * Extensible base class for reducers with annotations.
 * Mostly for testing until we get AOP working properly.
 *
 * @param <K1>   input key type
 * @param <V1>   input value type

From source file com.conversantmedia.mapreduce.tool.AnnotatedDelegatingReducer.java

/**
 * Extensible base class for reducers with annotations.
 * Mostly for testing until we get AOP working properly.
 *
 * @param <K1>   input key type
 * @param <V1>   input value type

From source file com.ctrip.gs.recommendation.itemcf.mapreduce.VectorSumReducer.java

public class VectorSumReducer
        extends Reducer<WritableComparable<?>, VectorWritable, WritableComparable<?>, VectorWritable> {

    @Override
    protected void reduce(WritableComparable<?> key, Iterable<VectorWritable> values, Context ctx)
            throws IOException, InterruptedException {

From source file com.datasalt.pangool.tuplemr.mapred.RollupReducer.java

/**
 * 
 * This {@link Reducer} implements a similar functionality than
 * {@link SimpleReducer} but adding a Rollup feature.
 */
public class RollupReducer<OUTPUT_KEY, OUTPUT_VALUE>