mapreduce输出结果到mysql

Love The Way You Lie 2021-06-24 14:00 415阅读 0赞

Mapreduce程序在reduce阶段执行后，默认会把结果输出到hdfs文件系统上(使用context.wirte())，如果要把结果写到mysql中，需要重写Writable、DBWritable这两个类中的方法。

以wordCount程序为例，下面讲解如何把word和count输出到mysql中。

1、首先在mysql中创建表test，结构如下test (id bigint(20),name varchar(200),w\_count int(4))

2、把mysql驱动jar放到classpath下；

3、创建实体类，对应数据库中的表结构；同时实现接口Writable、DBWritable

package bean;
    
    import java.io.DataInput;
    import java.io.DataOutput;
    import java.io.IOException;
    import java.sql.PreparedStatement;
    import java.sql.ResultSet;
    import java.sql.SQLException;
    import org.apache.hadoop.io.Writable;
    import org.apache.hadoop.mapreduce.lib.db.DBWritable;
    
    public class Word  implements Writable, DBWritable{
    	private Long id;
    	private String name;
    	private int wCount;
    	
    	
    	public Long getId() {
    		return id;
    	}
    	public void setId(Long id) {
    		this.id = id;
    	}
    	public String getName() {
    		return name;
    	}
    	public void setName(String name) {
    		this.name = name;
    	}
    	public int getwCount() {
    		return wCount;
    	}
    	public void setwCount(int wCount) {
    		this.wCount = wCount;
    	}
    	
    	@Override
    	public void readFields(ResultSet rs) throws SQLException {
    		this.id = rs.getLong(1);
    		this.name = rs.getString(2);
    		this.wCount = rs.getInt(3);
    	}
    	@Override
    	public void write(PreparedStatement ps) throws SQLException {
    		//ps.setLong(1, this.id);
    		ps.setString(1, this.name);
    		ps.setInt(2, this.wCount);
    	}
    	@Override
    	public void readFields(DataInput in) throws IOException {
    		this.id = in.readLong();
    		this.name = Text.readString(in);
    		this.wCount = in.readInt();
    	}
    	@Override
    	public void write(DataOutput out) throws IOException {
    		out.writeLong(this.id);
    		Text.writeString(out, this.name);
    		out.writeInt(this.wCount);
    	}
    }

注：id是自动生成，所以这里不需要ps.setLong(); 其实这里只需要重写前两个方法即可(readFields(ResultSet rs) 和write(PreparedStatement ps))

4、Map类(和其他map一样)

public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{
        
        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();
          
        public void map(Object key, Text value, Context context
                        ) throws IOException, InterruptedException {
          StringTokenizer itr = new StringTokenizer(value.toString());
          while (itr.hasMoreTokens()) {
            word.set(itr.nextToken());
            context.write(word, one);
          }
        }
      }

5、reduce类：

public static class SumReducer extends Reducer<Text,IntWritable,Word,IntWritable> {
    
    	  public void reduce(Text key, Iterable<IntWritable> values, 
                           Context context
                           ) throws IOException, InterruptedException {
    		  int sum = 0;
    		  for (IntWritable val : values) {
    			  sum += val.get();
    		  }
    		  word.setName(key.toString());
    		  word.setwCount(sum);
    		  
    		  context.write(word,null);
    	  }
      }

和普通的reduce略有不同。extends Reducer<Text,IntWritable,Word,IntWritable> 4个参数，第一个是reduce输入的key类型(单词)；第二个是reduce输入的value类型(单词的计数)；第三个是输出的key类型，需要做修改，就是需要我们自己重写对数据库的操作，Word类是数据库表的POJO类，并且需要实现hadoop指定的接口；第四个是输出的value类型可以 为null，因为入库的操作都在key里完成了。

6、主方法：

public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        /*conf.set("fs.default.name", "**************");    
        conf.set("mapred.textoutputformat.separator", ",");  
        conf.set("mapred.compress.map.output", "true");  
        conf.set("date", yesterday); */ 
        
        DBConfiguration.configureDB(conf, "com.mysql.jdbc.Driver","jdbc:mysql://127.0.0.1:3306/test","root", "root");   
        
        
        String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
        /*  if (otherArgs.length != 2) {
          System.err.println("Usage: wordcount <in> <out>");
          System.exit(2);
        }*/
        
        Job job = new Job(conf, "word count 2 mysql");
        job.setJarByClass(WordCount2DB.class);
        job.setMapperClass(TokenizerMapper.class);
        //job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(SumReducer.class);
        
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        job.setInputFormatClass(TextInputFormat.class);
        job.setOutputFormatClass(DBOutputFormat.class);
        
        FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
        //FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
        
        DBOutputFormat.setOutput(job, "test", "name","w_count");
        
        /*job.setNumReduceTasks(8);  
        job.waitForCompletion(true);  */
        System.exit(job.waitForCompletion(true) ? 0 : 1);
      }

注：这里job.setOutputFormatClass(DBOutputFormat.class); 需要制定成数据库的输出。