新版apimapreducereduce结果写入mysql_MySQL

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 java.text.ParseException;import java.text.SimpleDateFormat;import java.util.Date;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.io.Writable;import org.apache.hadoop.mapreduce.Job;import org.apache.hadoop.mapreduce.Mapper;import org.apache.hadoop.mapreduce.Reducer;import org.apache.hadoop.mapreduce.lib.db.DBConfiguration;import org.apache.hadoop.mapreduce.lib.db.DBOutputFormat;import org.apache.hadoop.mapreduce.lib.db.DBWritable;import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;/** * 将mapreduce的结果数据写入mysql中 * * @author asheng */public class WriteDataToMysql {	/**	 * 重写DBWritable	 * 	 * @author asheng TblsWritable需要向mysql中写入数据	 */	public static class TblsWritable implements Writable, DBWritable {	String tbl_name;	String tbl_type;	public TblsWritable() {	}	public TblsWritable(String tbl_name, String tab_type) {	this.tbl_name = tbl_name;	this.tbl_type = tab_type;	}	@Override	public void write(PreparedStatement statement) throws SQLException {	statement.setString(1, this.tbl_name);	statement.setString(2, this.tbl_type);	}	@Override	public void readFields(ResultSet resultSet) throws SQLException {	this.tbl_name = resultSet.getString(1);	this.tbl_type = resultSet.getString(2);	}	@Override	public void write(DataOutput out) throws IOException {	out.writeUTF(this.tbl_name);	out.writeUTF(this.tbl_type);	}	@Override	public void readFields(DataInput in) throws IOException {	this.tbl_name = in.readUTF();	this.tbl_type = in.readUTF();	}	public String toString() {	return new String(this.tbl_name + " " + this.tbl_type);	}	}	public static class ConnMysqlMapper extends	Mapper	// TblsRecord是自定义的类型，也就是上面重写的DBWritable类	{	enum Counter {	LINESKIP,	}	private final static IntWritable one = new IntWritable(1);	public void map(LongWritable key, Text value, Context context)	throws IOException, InterruptedException {	try {	String line = value.toString();	String[] strings = line.split("/t");	String initTime = strings[1];	String devType = strings[4];	if (initTime.length() == 19) {	SimpleDateFormat sdf = new SimpleDateFormat(	"yyyy-MM-dd HH:mm:ss");	Date date = sdf.parse(initTime);	context.write(new Text(initTime.substring(0, 10)),one);	} else {	// System.err.println(initTime);	context.getCounter(Counter.LINESKIP).increment(1);	}	// } catch (ArrayIndexOutOfBoundsException e) {	} catch (ArrayIndexOutOfBoundsException e) {	context.getCounter(Counter.LINESKIP).increment(1);	return;	} catch (ParseException e) {	context.getCounter(Counter.LINESKIP).increment(1);	return;	}	}	}	public static class ConnMysqlReducer extends	Reducer {	public void reduce(Text key, Iterable values, Context context)	throws IOException, InterruptedException {	int count = 0;	for (Iterator itr = values.iterator(); itr.hasNext(); itr	.next()) {	count++;	}	context.write(	new TblsWritable(key.toString(), String.valueOf(count)),	null);	}	}	public static void main(String args[]) throws IOException,	InterruptedException, ClassNotFoundException {	Configuration conf = new Configuration();	DBConfiguration.configureDB(conf, "com.mysql.jdbc.Driver",	"jdbc:mysql://127.0.0.1:3306/XINGXUNTONG", "hadoop", "123456");	Job job = new Job(conf, "test mysql connection");	job.setJarByClass(WriteDataToMysql.class);	job.setMapperClass(ConnMysqlMapper.class);	job.setReducerClass(ConnMysqlReducer.class);	job.setOutputKeyClass(Text.class);	job.setOutputValueClass(IntWritable.class);	job.setInputFormatClass(TextInputFormat.class);	job.setOutputFormatClass(DBOutputFormat.class);	FileInputFormat.addInputPath(job, new Path(args[0]));	DBOutputFormat.setOutput(job, "test", "initTime", "new_user_total");	System.exit(job.waitForCompletion(true) ? 0 : 1);	}}

之所以写入mysql是因为我们平时处理的Tb级log文件处理结果却很小，写入关系数据库使查询和使用非常便利