Mapreduce的文件和hbase共同输入

package duogemap;

 

import java.io.IOException;

 

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.client.Result;

import org.apache.hadoop.hbase.client.Scan;

import org.apache.hadoop.hbase.io.ImmutableBytesWritable;

import org.apache.hadoop.hbase.mapreduce.TableInputFormat;

import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;

import org.apache.hadoop.hbase.mapreduce.TableMapper;

import org.apache.hadoop.hbase.util.Bytes;

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;

import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

 

public class MixMR {

 

public static class Map extends Mapper<Object, Text, Text, Text> {

 

public void map(Object key, Text value, Context context) throws IOException, InterruptedException {

String s = value.toString();

String[] sa = s.split(“,”);

if (sa.length == 2) {

context.write(new Text(sa[0]), new Text(sa[1]));

}

 

}

 

}

 

public static class TableMap extends TableMapper<Text, Text> {

public static final byte[] CF = “cf”.getBytes();

public static final byte[] ATTR1 = “c1”.getBytes();

 

public void map(ImmutableBytesWritable row, Result value, Context context) throws IOException, InterruptedException {

 

String key = Bytes.toString(row.get());

String val = new String(value.getValue(CF, ATTR1));

 

context.write(new Text(key), new Text(val));

}

}

 

 

public static class Reduce extends Reducer <Object, Text, Object, Text> {

public void reduce(Object key, Iterable<Text> values, Context context)

throws IOException, InterruptedException {

String ks = key.toString();

for (Text val : values){

context.write(new Text(ks), val);

}

 

}

}

 

public static void main(String[] args) throws Exception {

Path inputPath1 = new Path(args[0]);

Path inputPath2 = new Path(args[1]);

Path outputPath = new Path(args[2]);

 

String tableName = “test”;

 

Configuration config = HBaseConfiguration.create();

Job job = new Job(config, “ExampleRead”);

job.setJarByClass(MixMR.class); // class that contains mapper

 

Scan scan = new Scan();

scan.setCaching(500); // 1 is the default in Scan, which will be bad for MapReduce jobs

scan.setCacheBlocks(false); // don’t set to true for MR jobs

scan.addFamily(Bytes.toBytes(“cf”));

 

TableMapReduceUtil.initTableMapperJob(

tableName, // input HBase table name

scan, // Scan instance to control CF and attribute selection

TableMap.class, // mapper

Text.class, // mapper output key

Text.class, // mapper output value

job);

 

 

job.setReducerClass(Reduce.class); // reducer class

job.setOutputFormatClass(TextOutputFormat.class);

 

 

// inputPath1 here has no effect for HBase table

MultipleInputs.addInputPath(job, inputPath1, TextInputFormat.class, Map.class);

MultipleInputs.addInputPath(job, inputPath2, TableInputFormat.class, TableMap.class);

 

FileOutputFormat.setOutputPath(job, outputPath);

 

job.waitForCompletion(true);

}

}