Example usage for org.apache.hadoop.mapred JobConf setOutputFormat

List of usage examples for org.apache.hadoop.mapred JobConf setOutputFormat

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Introduction

In this page you can find the example usage for org.apache.hadoop.mapred JobConf setOutputFormat.

Prototype

public void setOutputFormat(Class<? extends OutputFormat> theClass)

Source Link

Document

Set the OutputFormat implementation for the map-reduce job.

Usage

From source file:com.impetus.code.examples.hadoop.mapred.wordcount.WordCount.java

License:Apache License

public static void main(String[] args) throws Exception {
    JobConf conf = new JobConf(WordCount.class);
    conf.setJobName("wordcount");

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(IntWritable.class);

    conf.setMapperClass(Map.class);
    conf.setCombinerClass(Reduce.class);
    conf.setReducerClass(Reduce.class);

    conf.setInputFormat(TextInputFormat.class);
    conf.setOutputFormat(TextOutputFormat.class);

    FileInputFormat.setInputPaths(conf, new Path(args[0]));
    FileOutputFormat.setOutputPath(conf, new Path(args[1]));

    JobClient.runJob(conf);/*w  w  w  .  ja  va  2  s .  c  o  m*/

}

From source file:com.intel.hadoop.graphbuilder.graph.glgraph.GLGraphOutput.java

License:Open Source License

@Override
public final void init(JobConf conf) {
    conf.setOutputFormat(MultiDirOutputFormat.class);
}

From source file:com.intel.hadoop.graphbuilder.graph.simplegraph.SimpleGraphOutput.java

License:Open Source License

@Override
public void init(JobConf conf) {
    conf.setOutputFormat(MultiDirOutputFormat.class);
}

From source file:com.intel.hadoop.graphbuilder.idnormalize.mapreduce.HashIdMR.java

License:Open Source License

/**
 * @param inputpath//from  w  ww . j a va  2  s . c o  m
 *          the path to a unique vertex list. Each line is parsed into (vid,
 *          data) using {@code vidparser} and {@code vdataparser}.
 * @param outputpath
 *          the path of output directory.
 * @throws IOException
 */
public void run(String inputpath, String outputpath) throws IOException {
    JobConf conf = new JobConf(HashIdMR.class);

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(Text.class);

    conf.setMapOutputKeyClass(IntWritable.class);
    conf.setMapOutputValueClass(Text.class);

    conf.setMapperClass(HashIdMapper.class);
    conf.setReducerClass(HashIdReducer.class);

    conf.setInputFormat(NLineInputFormat.class);
    conf.setOutputFormat(MultiDirOutputFormat.class);

    conf.setInt("mapred.line.input.format.linespermap", linespermap);
    conf.set("GraphParser", graphparser.getClass().getName());
    conf.set("VidParser", vidparser.getClass().getName());
    conf.set("VdataParser", vdataparser.getClass().getName());

    FileInputFormat.setInputPaths(conf, new Path(inputpath));
    FileOutputFormat.setOutputPath(conf, new Path(outputpath));

    LOG.info("====== Job: Create integer Id maps for vertices ==========");
    LOG.info("Input = " + inputpath);
    LOG.info("Output = " + outputpath);
    LOG.debug("Lines per map = 6000000");
    LOG.debug("GraphParser = " + graphparser.getClass().getName());
    LOG.debug("VidParser = " + vidparser.getClass().getName());
    LOG.debug("VdataParser = " + vdataparser.getClass().getName());
    LOG.info("==========================================================");
    JobClient.runJob(conf);
    LOG.info("=======================Done =====================\n");
}

From source file:com.intel.hadoop.graphbuilder.idnormalize.mapreduce.SortDictMR.java

License:Open Source License

/**
 * @param inputpath//from  w w w  .  ja va2 s  . c  om
 *          the path to a rawId to newId dictionary.
 * @param outputpath
 *          the path of output directory.
 * @throws IOException
 */
public void run(String inputpath, String outputpath) throws IOException {

    JobConf conf = new JobConf(SortDictMR.class);

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(Text.class);

    conf.setMapOutputKeyClass(IntWritable.class);
    conf.setMapOutputValueClass(Text.class);

    conf.setMapperClass(SortDictMapper.class);
    conf.setReducerClass(SortDictReducer.class);

    conf.setInputFormat(TextInputFormat.class);
    conf.setOutputFormat(TextOutputFormat.class);

    conf.setBoolean("hashRawVid", hashRawVid);
    conf.setInt("numChunks", numChunks);
    conf.set("VidParser", vidparser.getClass().getName());

    String outprefix = "vidhashmap";
    for (int i = 0; i < numChunks; i++) {
        MultipleOutputs.addNamedOutput(conf, outprefix + i, TextOutputFormat.class, Text.class, Text.class);
    }

    FileInputFormat.setInputPaths(conf, new Path(inputpath));
    FileOutputFormat.setOutputPath(conf, new Path(outputpath));

    LOG.info("========== Job: Partition the map of rawid -> id ===========");
    LOG.info("Input = " + inputpath);
    LOG.info("Output = " + outputpath);
    LOG.info("======================================================");
    if (hashRawVid)
        LOG.info("Partition on rawId.");
    else
        LOG.info("Partition on newId");
    LOG.debug("numChunks = " + numChunks);
    LOG.debug("VidParser = " + vidparser.getClass().getName());
    JobClient.runJob(conf);
    LOG.info("======================= Done ==========================\n");
}

From source file:com.intel.hadoop.graphbuilder.idnormalize.mapreduce.SortEdgeMR.java

License:Open Source License

public void run(String inputpath, String outputpath) throws IOException {

    JobConf conf = new JobConf(SortEdgeMR.class);

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(Text.class);

    conf.setOutputKeyClass(IntWritable.class);
    conf.setOutputValueClass(Text.class);

    conf.setMapperClass(SortEdgeMapper.class);
    conf.setReducerClass(SortEdgeReducer.class);

    conf.setInputFormat(TextInputFormat.class);
    conf.setOutputFormat(TextOutputFormat.class);

    conf.setInt("numChunks", numChunks);
    conf.set("GraphParser", graphparser.getClass().getName());
    conf.set("VidParser", vidparser.getClass().getName());
    conf.set("EdataParser", edataparser.getClass().getName());

    FileInputFormat.setInputPaths(conf, new Path(inputpath));
    FileOutputFormat.setOutputPath(conf, new Path(outputpath));

    LOG.info("==== Job: Partition the input edges by hash(sourceid) =========");
    LOG.info("Input = " + inputpath);
    LOG.info("Output = " + outputpath);
    LOG.debug("numChunks = " + numChunks);
    LOG.debug("GraphParser = " + graphparser.getClass().getName());
    LOG.debug("VidParser = " + vidparser.getClass().getName());
    LOG.debug("EdataParser = " + edataparser.getClass().getName());
    LOG.info("===============================================================");

    JobClient.runJob(conf);//from  w w w  .  j av  a2  s . c  o  m
    LOG.info("=================== Done ====================================\n");
}

From source file:com.intel.hadoop.graphbuilder.idnormalize.mapreduce.TransEdgeMR.java

License:Open Source License

/**
 * @param inputpath/*ww  w. j  a  va  2  s.  c  om*/
 *          path of the partitioned edge list
 * @param outputpath
 *          path of the output directory
 * @throws IOException
 */
public void run(String inputpath, String outputpath) throws IOException {

    JobConf conf = new JobConf(TransEdgeMR.class);

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(Text.class);

    conf.setMapOutputKeyClass(IntWritable.class);
    conf.setMapOutputValueClass(Text.class);

    conf.setMapperClass(TransEdgeMapper.class);
    conf.setReducerClass(TransEdgeReducer.class);

    conf.setInputFormat(TextInputFormat.class);
    conf.setOutputFormat(TextOutputFormat.class);

    conf.setInt("numChunks", numChunks);
    conf.set("GraphParser", graphparser.getClass().getName());
    conf.set("VidParser", vidparser.getClass().getName());
    conf.set("EdataParser", edataparser.getClass().getName());

    conf.set("dictionaryPath", dictionaryPath);

    FileInputFormat.setInputPaths(conf, new Path(inputpath));
    FileOutputFormat.setOutputPath(conf, new Path(outputpath));

    LOG.info("============= Job: Normalize Ids in Edges ====================");
    LOG.info("Input = " + inputpath);
    LOG.info("Output = " + outputpath);
    LOG.info("Dictionary = " + dictionaryPath);
    LOG.debug("numChunks = " + numChunks);
    LOG.debug("GraphParser = " + graphparser.getClass().getName());
    LOG.debug("VidParser = " + vidparser.getClass().getName());
    LOG.debug("EdataParser = " + edataparser.getClass().getName());
    LOG.info("===============================================================");

    JobClient.runJob(conf);

    LOG.info("========================= Done ===============================");
}

From source file:com.intel.hadoop.graphbuilder.partition.mapreduce.vrecord.VrecordIngressMR.java

License:Open Source License

public void run(int numProcs, String inputpath, String outputpath) throws IOException {

    JobConf conf = new JobConf(VrecordIngressMR.class);
    conf.setJobName("Vrecord Mapreduce");

    conf.setOutputKeyClass(Text.class);
    conf.setOutputValueClass(Text.class);
    conf.setMapOutputKeyClass(IntWritable.class);
    conf.setMapOutputValueClass(Text.class);

    conf.setMapperClass(VrecordIngressMapper.class);
    conf.setReducerClass(VrecordIngressReducer.class);

    conf.setInputFormat(TextInputFormat.class);
    conf.setOutputFormat(MultiDirOutputFormat.class);

    FileInputFormat.setInputPaths(conf, new Path(inputpath));
    FileOutputFormat.setOutputPath(conf, new Path(outputpath));

    if (gzip) {/* w  ww.jav  a  2  s  .  co  m*/
        TextOutputFormat.setCompressOutput(conf, true);
        TextOutputFormat.setOutputCompressorClass(conf, GzipCodec.class);
    }

    LOG.info("====== Job: Distributed Vertex Records to partitions =========");
    LOG.info("input: " + inputpath);
    LOG.info("output: " + outputpath);
    LOG.info("numProc = " + numProcs);
    LOG.info("gzip = " + Boolean.toString(gzip));
    LOG.info("==============================================================");

    JobClient.runJob(conf);
    LOG.info("==========================Done===============================");
}

From source file:com.jyz.study.hadoop.mapreduce.datajoin.DataJoinJob.java

License:Apache License

public static JobConf createDataJoinJob(String args[]) throws IOException {

    String inputDir = args[0];// w  w  w  .jav  a 2 s  . com
    String outputDir = args[1];
    Class inputFormat = SequenceFileInputFormat.class;
    if (args[2].compareToIgnoreCase("text") != 0) {
        System.out.println("Using SequenceFileInputFormat: " + args[2]);
    } else {
        System.out.println("Using TextInputFormat: " + args[2]);
        inputFormat = TextInputFormat.class;
    }
    int numOfReducers = Integer.parseInt(args[3]);
    Class mapper = getClassByName(args[4]);
    Class reducer = getClassByName(args[5]);
    Class mapoutputValueClass = getClassByName(args[6]);
    Class outputFormat = TextOutputFormat.class;
    Class outputValueClass = Text.class;
    if (args[7].compareToIgnoreCase("text") != 0) {
        System.out.println("Using SequenceFileOutputFormat: " + args[7]);
        outputFormat = SequenceFileOutputFormat.class;
        outputValueClass = getClassByName(args[7]);
    } else {
        System.out.println("Using TextOutputFormat: " + args[7]);
    }
    long maxNumOfValuesPerGroup = 100;
    String jobName = "";
    if (args.length > 8) {
        maxNumOfValuesPerGroup = Long.parseLong(args[8]);
    }
    if (args.length > 9) {
        jobName = args[9];
    }
    Configuration defaults = new Configuration();
    JobConf job = new JobConf(defaults, DataJoinJob.class);
    job.setJobName("DataJoinJob: " + jobName);

    FileSystem fs = FileSystem.get(defaults);
    fs.delete(new Path(outputDir), true);
    FileInputFormat.setInputPaths(job, inputDir);

    job.setInputFormat(inputFormat);

    job.setMapperClass(mapper);
    FileOutputFormat.setOutputPath(job, new Path(outputDir));
    job.setOutputFormat(outputFormat);
    SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(mapoutputValueClass);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(outputValueClass);
    job.setReducerClass(reducer);

    job.setNumMapTasks(1);
    job.setNumReduceTasks(numOfReducers);
    job.setLong("datajoin.maxNumOfValuesPerGroup", maxNumOfValuesPerGroup);
    return job;
}

From source file:com.linkedin.mapred.AbstractAvroJob.java

License:Open Source License

/**
 * Sets up various standard settings in the JobConf. You probably don't want to mess with this.
 * /*from   w w w  .  j  av a  2  s. co  m*/
 * @return A configured JobConf.
 * @throws IOException
 * @throws URISyntaxException 
 */
protected JobConf createJobConf() throws IOException, URISyntaxException {
    JobConf conf = new JobConf();

    conf.setJobName(getJobId());
    conf.setInputFormat(AvroInputFormat.class);
    conf.setOutputFormat(AvroOutputFormat.class);

    AvroOutputFormat.setDeflateLevel(conf, 9);

    String hadoop_ugi = _config.getString("hadoop.job.ugi", null);
    if (hadoop_ugi != null) {
        conf.set("hadoop.job.ugi", hadoop_ugi);
    }
    if (_config.getBoolean("is.local", false)) {
        conf.set("mapred.job.tracker", "local");
        conf.set("fs.default.name", "file:///");
        conf.set("mapred.local.dir", "/tmp/map-red");

        _log.info("Running locally, no hadoop jar set.");
    }

    // set JVM options if present
    if (_config.containsKey("mapred.child.java.opts")) {
        conf.set("mapred.child.java.opts", _config.getString("mapred.child.java.opts"));
        _log.info("mapred.child.java.opts set to " + _config.getString("mapred.child.java.opts"));
    }

    if (_config.containsKey(INPUT_PATHS)) {
        List<String> inputPathnames = _config.getStringList(INPUT_PATHS);
        for (String pathname : inputPathnames) {
            AvroUtils.addAllSubPaths(conf, new Path(pathname));
        }
        AvroJob.setInputSchema(conf, AvroUtils.getAvroInputSchema(conf));
    }

    if (_config.containsKey(OUTPUT_PATH)) {
        Path path = new Path(_config.get(OUTPUT_PATH));
        AvroOutputFormat.setOutputPath(conf, path);

        if (_config.getBoolean("force.output.overwrite", false)) {
            FileSystem fs = FileOutputFormat.getOutputPath(conf).getFileSystem(conf);
            fs.delete(FileOutputFormat.getOutputPath(conf), true);
        }
    }
    // set all hadoop configs
    for (String key : _config.keySet()) {
        String lowerCase = key.toLowerCase();
        if (lowerCase.startsWith(HADOOP_PREFIX)) {
            String newKey = key.substring(HADOOP_PREFIX.length());
            conf.set(newKey, _config.get(key));
        }
    }
    return conf;
}