Hi Nishant, If MySQL is your target database, you can check open source http://code.google.com/p/hiho/ which uses load data infile for a faster upload to the db.
Let me know if you need any help. Thanks and Regards, Sonal www.meghsoft.com On Wed, May 19, 2010 at 1:06 PM, Nishant Sonar <nisha...@synechron.com>wrote: > Hello, > > Does any body has a working example of DBOutputformat. That connects to the > DB Server (MYSQL) and then writes a record to the table. > > I tried by following the instruction on " > http://www.cloudera.com/blog/2009/03/database-access-with-hadoop/"; as > below but was getting an IOException. > > It will be great if anyone can send me example for hadoop 0.20.2 . The one > below is for an earlier version. > > <!-- Runner Class --> > > public class EmployeeDBRunner { > public static void main(String[] args) { > Configuration configuration = new Configuration(); > JobConf jobConf = new JobConf(configuration, > EmployeeDBRunner.class); > DBConfiguration.configureDB(jobConf, "com.mysql.jdbc.Driver", > "jdbc:mysql://localhost/mydatabase","myuser", "mypass"); > String[] fields = { "employee_id", "name" }; > DBOutputFormat.setOutput(jobConf, "employees", fields); > > JobConf conf = new JobConf(EmployeeDBRunner.class); > conf.setJobName("Employee"); > FileInputFormat.addInputPath(conf, new Path(args[0])); //set input > as file > conf.setMapperClass(TokenMapper.class); > conf.setReducerClass(DBReducer.class); > conf.setOutputFormat(DBOutputFormat.class); //set output as DBOF to > output data to a table. > > // <Text, IntWritable> > conf.setMapOutputKeyClass(Text.class); > conf.setMapOutputValueClass(IntWritable.class); > > // <MyRecord,NullWritable> > conf.setOutputKeyClass(MyRecord.class); > conf.setOutputValueClass(NullWritable.class); > try { > JobClient.runJob(conf); > } catch (IOException e) { > e.printStackTrace(); > } > > } > } > > <!-- Mapper --> > public class TokenMapper extends MapReduceBase implements > Mapper<Object, Text, Text, IntWritable> { > IntWritable single = new IntWritable(1); > > public void map(Object arg0, Text line, > OutputCollector<Text, IntWritable> collector, Reporter arg3) > throws IOException { > StringTokenizer stk = new StringTokenizer(line.toString()); > while (stk.hasMoreTokens()) { > Text token = new Text(stk.nextToken()); > collector.collect(token, single); > } > > } > } > > <!-- Reducer class--> > public class DBReducer extends MapReduceBase implements > org.apache.hadoop.mapred.Reducer<Text, IntWritable, > MyRecord,NullWritable> { > NullWritable n = NullWritable.get(); > public void reduce(Text key, Iterator<IntWritable> values, > OutputCollector<MyRecord,NullWritable> output, Reporter > reporter) > throws IOException { > long sum = 0; > for (; values.hasNext();) { > values.next(); > sum++; > } > MyRecord mRecord = new MyRecord(sum, key.toString()); > System.out.println(mRecord.getName()); > output.collect(mRecord,n); > } > } > > >
