當未配置時就會使用自動的配置。java
Mapper:封裝了應用程序Mapper階段的數據處理邏輯,下面是hadoop中以及現實了的mapper子類正則表達式
ChainMapper:方便用戶編寫鏈式Map任務, 即Map階段包含多個Mapper,便可以別寫多個自定義map去參與運算。
InverseMapper:一個能交換key和value的Mapper
RegexMapper:檢查輸入是否匹配某正則表達式, 輸出匹配字符串和計數器(用的不多)
TockenCounterMapper:將輸入分解爲獨立的單詞, 輸出個單詞和計數器(以空格分割單詞,value值爲1)apache
代碼實例:app
import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.lib.chain.ChainMapper; import org.apache.hadoop.mapreduce.lib.chain.ChainReducer; import org.apache.hadoop.mapreduce.lib.input.KeyValueTextInputFormat; import org.apache.hadoop.mapreduce.lib.map.InverseMapper; import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; import org.apache.hadoop.mapreduce.lib.reduce.IntSumReducer; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; public class PatentReference_0010 extends Configured implements Tool{ static class PatentReferenceMapper extends Mapper<Text,Text,Text,IntWritable>{ private IntWritable one=new IntWritable(1); @Override protected void map(Text key,Text value,Context context) throws IOException, InterruptedException{ context.write(key,one); } } @Override public int run(String[] args) throws Exception{ Configuration conf=getConf(); Path input=new Path(conf.get("input")); Path output=new Path(conf.get("output")); //輸入格式爲KeyValueTextInputFormat時能夠指定key和value的分隔符是什麼,它的默認分隔符是"\t"也就是tab鍵 conf.set("mapreduce.input.keyvaluelinerecordreader.key.value.separator",","); Job job=Job.getInstance(conf,this.getClass().getSimpleName()); job.setJarByClass(this.getClass()); ChainMapper.addMapper(job,InverseMapper.class, // 輸入的鍵值類型由InputFormat決定 Text.class,Text.class, // 輸出的鍵值類型與輸入的鍵值類型相反 Text.class,Text.class,conf); ChainMapper.addMapper(job,PatentReferenceMapper.class, // 輸入的鍵值類型由前一個Mapper輸出的鍵值類型決定 Text.class,Text.class, Text.class,IntWritable.class,conf); ChainReducer.setReducer(job,IntSumReducer.class, Text.class,IntWritable.class, Text.class,IntWritable.class,conf); ChainReducer.addMapper(job,InverseMapper.class, Text.class,IntWritable.class, IntWritable.class,Text.class,conf); job.setInputFormatClass(KeyValueTextInputFormat.class); job.setOutputFormatClass(TextOutputFormat.class); KeyValueTextInputFormat.addInputPath(job,input); TextOutputFormat.setOutputPath(job,output); return job.waitForCompletion(true)?0:1; } public static void main(String[] args) throws Exception{ System.exit(ToolRunner.run(new P00010_PatentReference_0010(),args)); } }