Hi,

I am stuck again in a probably very simple problem. I couldn't generate the map output in sequence file format. I always get this error:

java.io.IOException: wrong key class: org.apache.hadoop.io.Text is not class org.apache.hadoop.io.LongWritable at org.apache.hadoop.io.SequenceFile$Writer.append(SequenceFile.java:985) at org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat$1.write(SequenceFileOutputFormat.java:74) at org.apache.hadoop.mapred.MapTask$NewDirectOutputCollector.write(MapTask.java:498) at org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80) at edu.uchicago.naivetagger.lzocheck.MapperSequenceCompression$Map.map(MapperSequenceCompression.java:29) at edu.uchicago.naivetagger.lzocheck.MapperSequenceCompression$Map.map(MapperSequenceCompression.java:27)
        at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
        at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:621)
        at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305)
        at org.apache.hadoop.mapred.Child.main(Child.java:170)




Why hadoop always trying to cast the Text class of my key into LongWritable? I notice that in old API there might be some problems processing the index file and the sequence file in Mapper output. But I am using the 0.20.2 API so I guess that is not the issue. I guess I missed something naive here, but took me a long time figuring that out. Thanks for any suggestion.

Here is my complete code. It contains a mapper only job and I ran it on random input because it simply outputs a static <"key","a"> as <text, text> output.

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
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.input.TextInputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import java.io.IOException;

public class MapperSequenceCompression  extends Configured implements Tool{

public static class Map extends org.apache.hadoop.mapreduce.Mapper<LongWritable, Text, Text, Text> { public void map(LongWritable key, Text value, org.apache.hadoop.mapreduce.Mapper.Context context) throws IOException, InterruptedException{
               context.write(new Text("key"), new Text("a"));
           }
    }

    public int run(String[] args) throws IOException {
        Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();

        Path in = new Path(args[0]);
        Path out = new Path(args[1]);

        Job job = new Job(conf, "MyJob");

        job.setJarByClass(MapperSequenceCompression.class);
        job.setMapperClass(MapperSequenceCompression.Map.class);

        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(Text.class);

org.apache.hadoop.mapreduce.lib.input.FileInputFormat.setInputPaths(job, in); org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.setOutputPath(job, out);

        job.setNumReduceTasks(0);

        job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(org.apache.hadoop.mapreduce.lib.output.SequenceFileOutputFormat.class);


        try {
             System.exit(job.waitForCompletion(true) ? 0 : 1);
             return 0;

        } catch( Throwable e) {
                  return -1;
        }
    }

    public static void main(String[] args) throws Exception {
int exitCode = ToolRunner.run(new MapperSequenceCompression(),args);
                System.exit(exitCode);
    }
}


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