MapReduce实现矩阵相乘

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矩阵相乘可以查看百度百科的解释http://baike.baidu.com/view/2455255.htm?fr=aladdin

有a和b两个矩阵

a:                1   2   3

                   4   5   0

                   7   8   9

                   10  11  12

b:              10  15

                  0     2

                  11   9

 c = a*b

1:将矩阵存到HDFS中:

                       矩阵a:

行列值hdfs存储1111,1,11221,2,21331,3,32142,1,42252,2,52300不存储3173,1,73283,2,83393,3,941104,1,1042114,2,1143124,3,12

                     

                        矩阵b:

行列值hdfs存储11101,1,1012151,2,152100不存储2222,2,231113,1,113293,2,9


2:a的map读取

   读取第一个值是1,1,1。它是矩阵a的第一行第一列。那么它要在计算c(1,1) c(1,2)的时候使用(这里c只用2列,如果用n列,那么它的值要在计算c(1,1),c(1,2),c(1,3)...c(1,n)的时候使用)。我们就以 key = 1,1  value = a,1,1  ,      key= 1,2   value = a,1,1输出两条数据(1,1) (1,2)是 c(1,1) ,c(1,2)的坐标。

  b的map读取

  读取第一个值是1,1,10。它是矩阵b的第一行第一列。那么它要在计算c(1,1) c(2,1) c(3,1) c(4,1)的时候使用(这里c只用4行,如果用m行,那么它的值要在计算c(1,1),c(2,1),c(3,1)...c(m,1)的时候使用)。我们就以 key = 1,1  value = b,1,10  ,     key= 2,1   value = b,1,10               ,    key = 3,1   value = b,1,10    ,                                         key= 4,1   value = b,1,10输出

3:reduce读取计算

   通过mapA和mapB的输出可以得到 key = 1,1   ,   value=a,1,1    value=b,1,10   value=a,2,2      value=a,3,3  value = b,3,11l来计算c(1,1)的值

代码如下:

package MyMatrix;import java.io.IOException;import java.util.Iterator;import org.apache.hadoop.conf.Configuration;import org.apache.hadoop.fs.Path;import org.apache.hadoop.io.IntWritable;import org.apache.hadoop.io.LongWritable;import org.apache.hadoop.io.Text;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.mapreduce.Mapper;import org.apache.hadoop.mapreduce.Reducer;import org.apache.hadoop.mapreduce.lib.input.MultipleInputs;import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;public class MartrixMultiply{/** * 最后得到的矩阵的列数 */public static final int COL_COUNT = 2;/** * 最后得到的矩阵的行数 */public static final int ROW_COUNT = 4;/** * A矩阵的列数或者是B矩阵的行数 */public static final int BROW_ACOL= 3;public static class MartrixMaperA extends Mapper<LongWritable, Text, Text, Text>{@Overrideprotected void map(LongWritable key, Text value, Context context)throws IOException, InterruptedException {String valueStr = value.toString();String[] items = valueStr.split(",");int rowIndex = Integer.parseInt(items[0]);int colIndex = Integer.parseInt(items[1]);int valueInt = Integer.parseInt(items[2]);Text outKey = null;Text outValue = null;for(int i=0;i<COL_COUNT;i++){outKey = new Text(rowIndex + "," + (i+1));outValue = new Text("a,"+colIndex+","+valueInt);context.write(outKey, outValue);}}}public static class MartrixMaperB extends Mapper<LongWritable, Text, Text, Text>{@Overrideprotected void map(LongWritable key, Text value, Context context)throws IOException, InterruptedException {String valueStr = value.toString();String[] items = valueStr.split(",");int rowIndex = Integer.parseInt(items[0]);int colIndex = Integer.parseInt(items[1]);int valueInt = Integer.parseInt(items[2]);Text outKey = null;Text outValue = null;for(int i=0;i<ROW_COUNT;i++){outKey = new Text((i+1) + "," + colIndex);outValue = new Text("b,"+rowIndex+","+valueInt);context.write(outKey, outValue);}}}public static class MartrixReducer extends Reducer<Text,Text,Text,IntWritable>{@Overrideprotected void reduce(Text key, Iterable<Text> values,Context context)throws IOException, InterruptedException {String[] items = new String[3];int[] valueA = new int[BROW_ACOL];int[] valueB = new int[BROW_ACOL];Iterator<Text> it = values.iterator();while(it.hasNext()){items = it.next().toString().split(",");if(items[0].equals("a")){valueA[Integer.parseInt(items[1])-1] = Integer.parseInt(items[2]);}else if(items[0].equals("b")){valueB[Integer.parseInt(items[1])-1] = Integer.parseInt(items[2]);}}int result = 0;for(int i=0;i<BROW_ACOL;i++){result += valueA[i]*valueB[i];}context.write(key, new IntWritable(result));}}@SuppressWarnings("deprecation")public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {Path pathA = new Path("hdfs://localhost:9000/Martrix/a.txt");Path pathB = new Path("hdfs://localhost:9000/Martrix/b.txt");Path pathOut = new Path("hdfs://localhost:9000/Martrix/out");Configuration conf = new Configuration();Job job = new Job(conf,"MartrixMultiply");job.setJarByClass(MartrixMultiply.class);MultipleInputs.addInputPath(job, pathA, TextInputFormat.class, MartrixMaperA.class);MultipleInputs.addInputPath(job, pathB, TextInputFormat.class, MartrixMaperB.class);job.setReducerClass(MartrixReducer.class);job.setMapOutputKeyClass(Text.class);job.setMapOutputValueClass(Text.class);job.setOutputKeyClass(Text.class);job.setOutputValueClass(IntWritable.class);FileOutputFormat.setOutputPath(job, pathOut);if(job.waitForCompletion(true)){System.exit(0);}else{System.exit(1);}}}


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