Example usage for org.apache.hadoop.mapreduce Job setOutputFormatClass

List of usage examples for org.apache.hadoop.mapreduce Job setOutputFormatClass

  1. HOME
  2. Java
  3. org.apache.hadoop
  4. org.apache.hadoop.mapreduce.*
  5. Job
  6. setOutputFormatClass

Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce Job setOutputFormatClass.

Prototype

public void setOutputFormatClass(Class<? extends OutputFormat> cls) throws IllegalStateException

Source Link

Document

Set the OutputFormat for the job.

Usage

From source file:com.twitter.algebra.nmf.CompositeDMJ.java

License:Apache License

public Job run(Configuration conf, Path mapDirPath, Path matrixInputPaths, Path matrixOutputPath, int atCols,
        boolean aIsMapDir, String inMemCStr, int inMemCRows, int inMemCCols, float alpha1, float alpha2)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);
    conf.set(MATRIXINMEMORY, inMemCStr);
    conf.setInt(MATRIXINMEMORYROWS, inMemCRows);
    conf.setInt(MATRIXINMEMORYCOLS, inMemCCols);

    conf.setFloat(ALPHA1, alpha1);/*from  w  w w  . j av a 2 s  .  c o m*/
    conf.setFloat(ALPHA2, alpha2);

    FileSystem fs = FileSystem.get(matrixOutputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPaths, "compositedmj");

    conf.set(MAPDIRMATRIX, mapDirPath.toString());
    conf.setBoolean(AISMAPDIR, aIsMapDir);
    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(CompositeDMJ.class);
    job.setJobName(CompositeDMJ.class.getSimpleName() + "-" + matrixOutputPath.getName());
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    matrixInputPaths = fs.makeQualified(matrixInputPaths);
    MultipleInputs.addInputPath(job, matrixInputPaths, SequenceFileInputFormat.class);

    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(VectorWritable.class);

    // ensures total order (when used with {@link MatrixOutputFormat}),
    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, atCols);

    job.setNumReduceTasks(0);
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);
    job.submit();
    return job;
}

From source file:com.twitter.algebra.nmf.DistRndMatrixJob.java

License:Apache License

public void run(Configuration conf, Path inPath, Path matrixOutputPath, int numInputRows, int numInputCols)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.setInt(ROWS, numInputRows);/*from   w  w  w.  j  a  va  2s .c  o m*/
    conf.setInt(COLS, numInputCols);

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(DistRndMatrixJob.class);
    job.setJobName(DistRndMatrixJob.class.getSimpleName() + "-" + matrixOutputPath.getName());

    FileSystem fs = FileSystem.get(inPath.toUri(), conf);
    inPath = fs.makeQualified(inPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, inPath);
    job.setInputFormatClass(TextInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(NullWritable.class);

    // ensures total order (when used with {@link MatrixOutputFormat}),
    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numInputRows);

    int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "random");
    job.setNumReduceTasks(numReducers);

    job.setReducerClass(MyReducer.class);
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}

From source file:com.twitter.algebra.nmf.Edge2MapDirJob.java

License:Apache License

public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath, int numInputRows,
        int numInputCols, String name) throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.set(INDEXNAME, name);//from ww w  .  j a  va2  s.c om
    conf.setInt(ROWS, numInputRows);
    conf.setInt(COLS, numInputCols);
    conf.set("mapreduce.input.keyvaluelinerecordreader.key.value.separator", "\t");
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPath, "edge2matrix");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(Edge2MapDirJob.class);
    job.setJobName(Edge2MapDirJob.class.getSimpleName() + "-" + matrixOutputPath.getName());

    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(KeyValueTextInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(VectorWritable.class);

    int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "edge2matrix");
    job.setNumReduceTasks(numReducers);
    // ensures total order (when used with {@link MatrixOutputFormat}),
    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numInputRows);

    job.setCombinerClass(MergeVectorsCombiner.class);
    job.setReducerClass(MergeVectorsReducer.class);
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}

From source file:com.twitter.algebra.nmf.ErrDMJ.java

License:Apache License

public Job run(Configuration conf, Path xPath, Path matrixAInputPath, Path ytPath, Path outPath, int aRows,
        int ytRows, int ytCols) throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.set(MAPDIRMATRIXX, xPath.toString());
    conf.set(MAPDIRMATRIXYT, ytPath.toString());
    conf.setInt(YTROWS, ytRows);/*from   www. ja v  a  2 s  .  c o  m*/
    conf.setInt(YTCOLS, ytCols);
    FileSystem fs = FileSystem.get(outPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixAInputPath, "err");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(ErrDMJ.class);
    job.setJobName(ErrDMJ.class.getSimpleName() + "-" + outPath.getName());

    matrixAInputPath = fs.makeQualified(matrixAInputPath);
    MultipleInputs.addInputPath(job, matrixAInputPath, SequenceFileInputFormat.class);

    outPath = fs.makeQualified(outPath);
    FileOutputFormat.setOutputPath(job, outPath);
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(VectorWritable.class);

    int numReducers = 1;
    job.setNumReduceTasks(numReducers);
    job.setCombinerClass(SumVectorsReducer.class);
    job.setReducerClass(SumVectorsReducer.class);

    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed! ");
    return job;
}

From source file:com.twitter.algebra.nmf.ReindexerJob.java

License:Apache License

public Job run(Configuration conf, Path matrixInputPath, Path matrixOutputPath)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.set("mapreduce.input.keyvaluelinerecordreader.key.value.separator", "\t");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(ReindexerJob.class);
    job.setJobName(ReindexerJob.class.getSimpleName() + "-" + matrixOutputPath.getName());

    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(KeyValueTextInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(NullWritable.class);

    job.setReducerClass(MyReducer.class);
    // this makes the reindexing very slow but is necessary to have total order
    job.setNumReduceTasks(1);/*from w w  w. j  av a  2 s.c om*/

    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    job.setOutputKeyClass(LongWritable.class);
    job.setOutputValueClass(IntWritable.class);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
    return job;
}

From source file:com.twitter.algebra.nmf.RowSquareSumJob.java

License:Apache License

public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath, int aRows)
        throws IOException, InterruptedException, ClassNotFoundException {
    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(RowSquareSumJob.class);
    job.setJobName(RowSquareSumJob.class.getSimpleName() + "-" + matrixOutputPath.getName());
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);

    int numReducers = 1;
    job.setNumReduceTasks(numReducers);//from   w  w  w . j a v  a2  s . c  o  m

    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);

    job.setMapperClass(SumMapper.class);
    job.setCombinerClass(MergeVectorsReducer.class);
    job.setReducerClass(MergeVectorsReducer.class);

    //    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class,
    //        aRows);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}

From source file:com.twitter.algebra.nmf.SampleColsJob.java

License:Apache License

public void run(Configuration conf, Path matrixInputPath, int cols, Path matrixOutputPath, float sampleRate)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.setFloat(SAMPLERATE, sampleRate);
    conf.setInt(COLS, cols);// w  w w.  j av  a  2 s.c o m
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPath, "samplecol");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(SampleColsJob.class);
    job.setJobName(SampleColsJob.class.getSimpleName() + "-" + matrixOutputPath.getName());

    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);

    job.setNumReduceTasks(0);
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);

    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}

From source file:com.twitter.algebra.nmf.SampleRowsJob.java

License:Apache License

public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath, float sampleRate)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.setFloat(SAMPLERATE, sampleRate);
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPath, "samplerows");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(SampleRowsJob.class);
    job.setJobName(SampleRowsJob.class.getSimpleName() + "-" + matrixOutputPath.getName());

    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);

    job.setNumReduceTasks(0);//from   w  w  w .ja v  a 2s .c o m
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);

    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}

From source file:com.twitter.algebra.nmf.XtXJob.java

License:Apache License

public void run(Configuration conf, Path matrixInputPath, int numCols, String xmPath, Path matrixOutputPath)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf = new Configuration(conf);

    conf.setInt(MATRIXCOLS, numCols);//from  w  ww.j a  va 2s  .co m
    //    conf.set(XMPATH, xmPath);
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, new Path[] { matrixInputPath }, "xtx");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJobName("XtXJob-" + matrixOutputPath.getName());
    job.setJarByClass(XtXJob.class);
    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);
    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(MyMapper.class);
    job.setReducerClass(MyReducer.class);

    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(VectorWritable.class);

    int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "xtx");
    job.setNumReduceTasks(numReducers);
    // ensures total order (when used with {@link MatrixOutputFormat}),
    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numCols);

    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);

    job.submit();
    job.waitForCompletion(true);
}

From source file:com.twitter.algebra.TransposeJob.java

License:Apache License

/**
 * Perform transpose of A, where A refers to the path that contains a matrix
 * in {@link SequenceFileInputFormat}./*from w  w w  .  jav  a  2  s  .c o m*/
 * 
 * @param conf
 *          the initial configuration
 * @param matrixInputPath
 *          the path to the input files that we process
 * @param matrixOutputPath
 *          the path of the resulting transpose matrix
 * @param numInputRows
 *          rows
 * @param numInputCols
 *          cols
 * @return the running job
 * @throws IOException
 * @throws InterruptedException
 * @throws ClassNotFoundException
 */
public void run(Configuration conf, Path matrixInputPath, Path matrixOutputPath, int numInputRows,
        int numInputCols) throws IOException, InterruptedException, ClassNotFoundException {
    conf.setInt(NUM_ORIG_ROWS_KEY, numInputRows);
    conf.setInt(RowPartitioner.TOTAL_KEYS, numInputCols);
    FileSystem fs = FileSystem.get(matrixInputPath.toUri(), conf);
    NMFCommon.setNumberOfMapSlots(conf, fs, matrixInputPath, "transpose");

    @SuppressWarnings("deprecation")
    Job job = new Job(conf);
    job.setJarByClass(TransposeJob.class);
    job.setJobName(TransposeJob.class.getSimpleName());

    matrixInputPath = fs.makeQualified(matrixInputPath);
    matrixOutputPath = fs.makeQualified(matrixOutputPath);

    FileInputFormat.addInputPath(job, matrixInputPath);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    FileOutputFormat.setOutputPath(job, matrixOutputPath);
    job.setMapperClass(TransposeMapper.class);
    job.setMapOutputKeyClass(IntWritable.class);
    job.setMapOutputValueClass(VectorWritable.class);

    int numReducers = NMFCommon.getNumberOfReduceSlots(conf, "transpose");
    job.setNumReduceTasks(numReducers);
    //    job.setPartitionerClass(RowPartitioner.IntRowPartitioner.class);
    RowPartitioner.setPartitioner(job, RowPartitioner.IntRowPartitioner.class, numInputCols);
    job.setCombinerClass(MergeVectorsCombiner.class);
    job.setReducerClass(MergeVectorsReducer.class);
    job.setOutputFormatClass(MatrixOutputFormat.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(VectorWritable.class);
    job.submit();
    boolean res = job.waitForCompletion(true);
    if (!res)
        throw new IOException("Job failed!");
}