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[经验分享] 利用hadoop访问数据库

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发表于 2016-12-4 11:23:39 | 显示全部楼层 |阅读模式
  1、编写Recoder

package hadoop.db;
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.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.lib.db.DBWritable;
public class DBRecoder implements Writable, DBWritable {
int xxbh;
private String zbh;
private String zmc;
private String bh;
private String mc;

@Override
public void readFields(ResultSet rs) throws SQLException {
this.xxbh = rs.getInt(1);
this.zbh = rs.getString(2);
this.zmc = rs.getString(3);
this.bh = rs.getString(4);
this.mc = rs.getString(5);
}
@Override
public void write(PreparedStatement ps) throws SQLException {
ps.setInt(1, this.xxbh);
ps.setString(2, zbh);
ps.setString(3, zmc);
ps.setString(4, bh);
ps.setString(5, mc);
}
@Override
public void readFields(DataInput in) throws IOException {
this.xxbh = in.readInt();
this.zbh = Text.readString(in);
this.zmc = Text.readString(in);
this.bh = Text.readString(in);
this.mc = Text.readString(in);
}
@Override
public void write(DataOutput out) throws IOException {
out.writeInt(xxbh);
Text.writeString(out, zbh);
Text.writeString(out, zmc);
Text.writeString(out, bh);
Text.writeString(out, mc);
//out.write(zbh.getBytes("utf-8"));
//out.write(zmc.getBytes("utf-8"));
//out.write(bh.getBytes("utf-8"));
//out.write(mc.getBytes("utf-8"));
}
@Override
public String toString() {
// TODO Auto-generated method stub
return xxbh+":"+zbh+":"+zmc+":"+bh+":"+mc;
}
}

  二、Mapper

package hadoop.db;
import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapreduce.Mapper;
public class DBMapper extends Mapper <LongWritable,DBRecoder, LongWritable, Text>{
public void map(LongWritable arg0, DBRecoder arg1, OutputCollector arg2,
Reporter arg3) throws IOException {
// TODO Auto-generated method stub
arg2.collect(new LongWritable(arg1.xxbh), new Text(arg1.toString()));
}
}

  三、Reducer

package hadoop.db;
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;
import org.apache.hadoop.mapreduce.Reducer;
public class IdentityReducer<K, Text> extends Reducer<K, Text, K, Text> {
/** Writes all keys and values directly to output. */
public void reduce(K key, Iterator<Text> values,
OutputCollector<K, Text> output, Reporter reporter)
throws IOException {
while (values.hasNext()) {
Text v = (Text) values.next();
System.out.println(v.toString());
output.collect(key, v);
}
}
}

  等同org.apache.hadoop.mapred.lib.IdentityReducer作用。
  四、测试方法
  

package hadoop.db;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.db.DBConfiguration;
import org.apache.hadoop.mapreduce.lib.db.DBInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public class Test {
private static String driverClass = "oracle.jdbc.driver.OracleDriver";
private static String dbUrl = "jdbc:oracle:thin:@172.16.60.33:1521:igatest0";
public static void main(String[] args) throws Exception {
//引入org.apache.hadoop.mapred包下的API
/*JobClient client = new JobClient();
JobConf conf = new JobConf(hadoop.db.Test.class);
// TODO: specify output types
conf.setOutputKeyClass(LongWritable.class);
conf.setOutputValueClass(Text.class);
// TODO: specify input and output DIRECTORIES (not files)
conf.setInputFormat(DBInputFormat.class);
FileOutputFormat.setOutputPath(conf, new Path("hdfs://172.16.60.33:9000/home/hadoop/db/output-"+System.currentTimeMillis()));

DBConfiguration.configureDB(conf, driverClass, dbUrl,"igate320_sz","igate320_sz");
String [] fields = {"xxbh","zbh", "zmc", "bh","mc"};
//DBInputFormat.setInput(conf,DBRecoder.class, "T_SYS_XTZD",null, "xxbh", fields);
DBInputFormat.setInput(conf, DBRecoder.class, "SELECT xxbh,zbh,zmc,bh,mc FROM t_sys_xtzd ORDER BY xxbh ", "SELECT count(1) FROM t_sys_xtzd ");

// TODO: specify a mapper
conf.setMapperClass(DBMapper.class);
// TODO: specify a reducer
conf.setReducerClass(IdentityReducer.class);
client.setConf(conf);
try {
JobClient.runJob(conf);
} catch (Exception e) {
e.printStackTrace();
}*/
//引入org.apache.hadoop.mapreduce 包下的API
Configuration conf = new Configuration();
Job job = new Job(conf, "word count sunsu");
job.setJarByClass(Test.class);
job.setOutputKeyClass(LongWritable.class);
job.setOutputValueClass(DBRecoder.class);
FileOutputFormat.setOutputPath(job, new Path("hdfs://172.16.60.33:9000/home/hadoop/db/output-"+System.currentTimeMillis()));
DBConfiguration.configureDB(job.getConfiguration(), driverClass, dbUrl,"igate320_sz","igate320_sz");
String [] fields = {"xxbh","zbh", "zmc", "bh","mc"};
//DBInputFormat.setInput(job,DBRecoder.class, "T_SYS_XTZD","", "xxbh", fields);
DBInputFormat.setInput(job, DBRecoder.class, "select xxbh,zbh,zmc,bh,mc from T_SYS_XTZD", "select count(1) from T_SYS_XTZD");
job.setMapperClass(DBMapper.class);
job.setReducerClass(IdentityReducer.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}

  
  hadoop-1.1.1版本不支持oracle数据库,可修改org.apache.hadoop.mapred.lib.db.DBInputFormat中getSelectQuery()方法生成对应数据库SQL
  

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