Example usage for org.apache.hadoop.mapreduce.lib.output FileOutputFormat setOutputPath

Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce.lib.output FileOutputFormat setOutputPath.

Prototype

public static void setOutputPath(Job job, Path outputDir) 

Source Link

Document

Set the Path of the output directory for the map-reduce job.

Usage

From source file:com.ema.hadoop.wordcount.WordCount.java

public static void main(String[] args) throws Exception {

    if (args.length != 2) {
        System.err.println("Usage: WordCount <input path> <output path>");
        System.exit(-1);/*from  ww  w.  j  a  va  2 s.c  o m*/
    }

    Job job = Job.getInstance();
    job.setJarByClass(WordCount.class);
    job.setJobName("Word count job");

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

    job.setMapperClass(WCMapper.class);
    job.setReducerClass(WCReducer.class);

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

    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

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From source file:com.ema.hadoop.wordcount.WordCount_cache.java

public static void main(String[] args) throws Exception {

    if (args.length != 2) {
        System.err.println("Usage: WordCount <input path> <output path>");
        System.exit(-1);/*from ww w .j  av a 2  s  . c  o m*/
    }

    // First we write the stop word list
    // it could also be a file manually loaded into HDFS

    String[] stopwords = { "the", "a" };
    Configuration configuration = new Configuration();
    FileSystem hdfs = FileSystem.get(new URI("hdfs://localhost:9000"), configuration);
    Path file = new Path("hdfs://localhost:9000/user/student/stop_words.txt");
    if (hdfs.exists(file)) {
        hdfs.delete(file, true);
    }
    OutputStream os = hdfs.create(file, new Progressable() {
        @Override
        public void progress() {
            out.println("...bytes written");
        }
    });
    BufferedWriter br = new BufferedWriter(new OutputStreamWriter(os, "UTF-8"));
    for (String w : stopwords) {
        br.write(w + "\n");
    }

    br.close();
    hdfs.close();

    Job job = Job.getInstance();
    job.addCacheFile(new Path("hdfs://localhost:9000/user/student/stop_words.txt").toUri());

    job.setJarByClass(WordCount_cache.class);
    job.setJobName("Word count job");

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

    job.setMapperClass(WCMapper_cache.class);
    job.setReducerClass(WCReducer.class);

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

    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

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From source file:com.example.bigtable.sample.CellCounter.java

License:Apache License

/**
 * Sets up the actual job./*from   w ww  .java2  s  .  com*/
 *
 * @param conf The current configuration.
 * @param args The command line parameters.
 * @return The newly created job.
 * @throws IOException When setting up the job fails.
 */
public static Job createSubmittableJob(Configuration conf, String[] args) throws IOException {
    String tableName = args[0];
    Path outputDir = new Path(args[1]);
    String reportSeparatorString = (args.length > 2) ? args[2] : ":";
    conf.set("ReportSeparator", reportSeparatorString);
    Job job = Job.getInstance(conf, conf.get(JOB_NAME_CONF_KEY, NAME + "_" + tableName));
    job.setJarByClass(CellCounter.class);
    Scan scan = getConfiguredScanForJob(conf, args);
    TableMapReduceUtil.initTableMapperJob(tableName, scan, CellCounterMapper.class,
            ImmutableBytesWritable.class, Result.class, job);
    job.setNumReduceTasks(1);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setOutputFormatClass(TextOutputFormat.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileOutputFormat.setOutputPath(job, outputDir);
    job.setReducerClass(IntSumReducer.class);
    return job;
}

---

From source file:com.example.Driver.java

License:Open Source License

public int run(String[] args) throws Exception {

    Configuration conf = new Configuration();
    Job job = Job.getInstance(conf, "Your job name");

    job.setJarByClass(Driver.class);

    logger.info("job " + job.getJobName() + " [" + job.getJar() + "] started with the following arguments: "
            + Arrays.toString(args));

    if (args.length < 2) {
        logger.warn("to run this jar are necessary at 2 parameters \"" + job.getJar()
                + " input_files output_directory");
        return 1;
    }/*from   ww w  .  j  a va  2s.c  o  m*/

    job.setMapperClass(WordcountMapper.class);
    logger.info("mapper class is " + job.getMapperClass());

    //job.setMapOutputKeyClass(Text.class);
    //job.setMapOutputValueClass(IntWritable.class);
    logger.info("mapper output key class is " + job.getMapOutputKeyClass());
    logger.info("mapper output value class is " + job.getMapOutputValueClass());

    job.setReducerClass(WordcountReducer.class);
    logger.info("reducer class is " + job.getReducerClass());
    job.setCombinerClass(WordcountReducer.class);
    logger.info("combiner class is " + job.getCombinerClass());
    //When you are not runnign any Reducer
    //OR    job.setNumReduceTasks(0);
    //      logger.info("number of reduce task is " + job.getNumReduceTasks());

    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    logger.info("output key class is " + job.getOutputKeyClass());
    logger.info("output value class is " + job.getOutputValueClass());

    job.setInputFormatClass(TextInputFormat.class);
    logger.info("input format class is " + job.getInputFormatClass());

    job.setOutputFormatClass(TextOutputFormat.class);
    logger.info("output format class is " + job.getOutputFormatClass());

    Path filePath = new Path(args[0]);
    logger.info("input path " + filePath);
    FileInputFormat.setInputPaths(job, filePath);

    Path outputPath = new Path(args[1]);
    logger.info("output path " + outputPath);
    FileOutputFormat.setOutputPath(job, outputPath);

    job.waitForCompletion(true);
    return 0;
}

---

From source file:com.examples.ch03.ParseWeblogs_Ex_1.java

public int run(String[] args) throws Exception {
    Path inputPath = new Path("apache_clf.txt");
    Path outputPath = new Path("output");
    Configuration conf = getConf();
    Job weblogJob = Job.getInstance(conf);
    weblogJob.setJobName("Weblog Transformer");
    weblogJob.setJarByClass(getClass());
    weblogJob.setNumReduceTasks(0);//  w  ww.  ja v a2s .c  om

    weblogJob.setMapperClass(CLFMapper_Ex_1.class);
    weblogJob.setMapOutputKeyClass(Text.class);
    weblogJob.setMapOutputValueClass(Text.class);

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

    weblogJob.setInputFormatClass(TextInputFormat.class);
    weblogJob.setOutputFormatClass(TextOutputFormat.class);

    FileInputFormat.setInputPaths(weblogJob, inputPath);
    FileOutputFormat.setOutputPath(weblogJob, outputPath);

    if (weblogJob.waitForCompletion(true)) {
        return 0;
    }
    return 1;
}

---

From source file:com.fanlehai.hadoop.join.CompositeJoin.java

License:Apache License

/**
 * The main driver for sort program. Invoke this method to submit the
 * map/reduce job.//from   ww w.  j  av  a  2s  .c  o m
 * 
 * @throws IOException
 *             When there is communication problems with the job tracker.
 */

@SuppressWarnings("rawtypes")
public int run(String[] args) throws Exception {
    Configuration conf = getConf();
    JobClient client = new JobClient(conf);
    ClusterStatus cluster = client.getClusterStatus();
    int num_reduces = (int) (cluster.getMaxReduceTasks() * 0.9);
    String join_reduces = conf.get(REDUCES_PER_HOST);
    if (join_reduces != null) {
        num_reduces = cluster.getTaskTrackers() * Integer.parseInt(join_reduces);
    }
    Job job = Job.getInstance(conf);
    job.setJobName("join");
    job.setJarByClass(CompositeJoin.class);

    job.setMapperClass(Mapper.class);
    job.setReducerClass(Reducer.class);

    Class<? extends InputFormat> inputFormatClass = KeyValueTextInputFormat.class;// SequenceFileInputFormat.class;
    Class<? extends OutputFormat> outputFormatClass = SequenceFileOutputFormat.class;
    Class<? extends WritableComparable> outputKeyClass = Text.class;// BytesWritable.class;
    Class<? extends Writable> outputValueClass = Text.class;//TupleWritable.class;
    String op = "inner";
    List<String> otherArgs = new ArrayList<String>();
    for (int i = 0; i < args.length; ++i) {
        try {
            if ("-r".equals(args[i])) {
                num_reduces = Integer.parseInt(args[++i]);
            } else if ("-inFormat".equals(args[i])) {
                inputFormatClass = Class.forName(args[++i]).asSubclass(InputFormat.class);
            } else if ("-outFormat".equals(args[i])) {
                outputFormatClass = Class.forName(args[++i]).asSubclass(OutputFormat.class);
            } else if ("-outKey".equals(args[i])) {
                outputKeyClass = Class.forName(args[++i]).asSubclass(WritableComparable.class);
            } else if ("-outValue".equals(args[i])) {
                outputValueClass = Class.forName(args[++i]).asSubclass(Writable.class);
            } else if ("-joinOp".equals(args[i])) {
                op = args[++i];
            } else {
                otherArgs.add(args[i]);
            }
        } catch (NumberFormatException except) {
            System.out.println("ERROR: Integer expected instead of " + args[i]);
            return printUsage();
        } catch (ArrayIndexOutOfBoundsException except) {
            System.out.println("ERROR: Required parameter missing from " + args[i - 1]);
            return printUsage(); // exits
        }
    }

    // Set user-supplied (possibly default) job configs
    job.setNumReduceTasks(num_reduces);

    if (otherArgs.size() < 2) {
        System.out.println("ERROR: Wrong number of parameters: ");
        return printUsage();
    }

    String strOut = otherArgs.remove(otherArgs.size() - 1);
    FileSystem.get(new Configuration()).delete(new Path(strOut), true);

    FileOutputFormat.setOutputPath(job, new Path(strOut));
    List<Path> plist = new ArrayList<Path>(otherArgs.size());
    for (String s : otherArgs) {
        plist.add(new Path(s));
    }

    job.setInputFormatClass(CompositeInputFormat.class);
    job.getConfiguration().set(CompositeInputFormat.JOIN_EXPR,
            CompositeInputFormat.compose(op, inputFormatClass, plist.toArray(new Path[0])));
    job.setOutputFormatClass(outputFormatClass);

    job.setMapperClass(MapComposite.class);

    job.setOutputKeyClass(outputKeyClass);
    job.setOutputValueClass(outputValueClass);

    Date startTime = new Date();
    System.out.println("Job started: " + startTime);
    int ret = job.waitForCompletion(true) ? 0 : 1;
    Date end_time = new Date();
    System.out.println("Job ended: " + end_time);
    System.out.println("The job took " + (end_time.getTime() - startTime.getTime()) / 1000 + " seconds.");
    return ret;
}

---

From source file:com.fanlehai.hadoop.serialize.avro.MapReduceAvroWordCount.java

License:Apache License

public int run(String[] args) throws Exception {

    if (args.length != 2) {
        printUsage();// ww w.j a va 2  s  .c o  m
    }

    FileSystem.get(new Configuration()).delete(new Path(args[1]), true);
    Job job = Job.getInstance(super.getConf(), "AvroWordCount");

    job.setJarByClass(MapReduceAvroWordCount.class);
    job.setJobName("AvroWordCount");

    // We call setOutputSchema first so we can override the configuration
    // parameters it sets
    AvroJob.setOutputKeySchema(job, Pair.getPairSchema(Schema.create(Type.STRING), Schema.create(Type.INT)));
    job.setOutputValueClass(NullWritable.class);

    job.setMapperClass(Map.class);
    job.setReducerClass(Reduce.class);

    job.setInputFormatClass(TextInputFormat.class);

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setSortComparatorClass(Text.Comparator.class);

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

    return job.waitForCompletion(true) ? 1 : 0;
}

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From source file:com.fanlehai.hadoop.serialize.avro.MapReduceColorCount.java

License:Apache License

public int run(String[] args) throws Exception {

    if (args.length != 2) {
        printUsage();// ww w. ja  va 2  s .  c om
    }

    FileSystem.get(new Configuration()).delete(new Path(args[1]), true);
    Job job = Job.getInstance(super.getConf(), "MapReduceAvroWordCount");

    job.setJarByClass(MapReduceColorCount.class);
    job.setJobName("Color Count");

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

    job.setInputFormatClass(AvroKeyInputFormat.class);
    job.setMapperClass(ColorCountMapper.class);
    AvroJob.setInputKeySchema(job, User.getClassSchema());
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);

    job.setOutputFormatClass(AvroKeyValueOutputFormat.class);
    job.setReducerClass(ColorCountReducer.class);
    AvroJob.setOutputKeySchema(job, Schema.create(Schema.Type.STRING));
    AvroJob.setOutputValueSchema(job, Schema.create(Schema.Type.INT));

    return job.waitForCompletion(true) ? 1 : 0;
}

---

From source file:com.fanlehai.hadoop.serialize.json.multiline.ExampleJob.java

License:Apache License

/**
 * The MapReduce driver - setup and launch the job.
 *
 * @param args/*  w  w w.  j  a va  2s.  c om*/
 *            the command-line arguments
 * @return the process exit code
 * @throws Exception
 *             if something goes wrong
 */
@Override
public int run(String[] args) throws Exception {

    if (args.length != 2) {
        System.err.println("Usage: ExampleJob <in dir> <out dir>");
        ToolRunner.printGenericCommandUsage(System.err);
        System.exit(2);
    }

    String input = args[0];
    String output = args[1];

    Configuration conf = super.getConf();

    writeInput(conf, new Path(input));

    Job job = Job.getInstance(getConf(), "ExampleJob");
    job.setJarByClass(ExampleJob.class);
    job.setMapperClass(Map.class);

    job.setNumReduceTasks(0);

    Path outputPath = new Path(output);

    FileInputFormat.setInputPaths(job, input);
    FileOutputFormat.setOutputPath(job, outputPath);

    // use the JSON input format
    job.setInputFormatClass(MultiLineJsonInputFormat.class);

    // specify the JSON attribute name which is used to determine which
    // JSON elements are supplied to the mapper
    MultiLineJsonInputFormat.setInputJsonMember(job, "colorName");

    if (job.waitForCompletion(true)) {
        return 0;
    }
    return 1;
}

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From source file:com.flipkart.fdp.migration.distcp.core.MirrorDistCPDriver.java

License:Apache License

private Job createJob(Configuration configuration) throws Exception {

    System.out.println("Initializing BlueShift v 2.0...");
    System.out.println("Configuration: " + dcmConfig.toString());

    Job job = Job.getInstance(configuration, "BlueShift v 2.0 - " + dcmConfig.getBatchName());

    job.setJarByClass(MirrorDistCPDriver.class);

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

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

    job.setMapperClass(MirrorMapper.class);
    job.setReducerClass(MirrorReducer.class);

    job.setInputFormatClass(MirrorFileInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);

    FileOutputFormat.setOutputPath(job, stateManager.getReportPath());

    job.setNumReduceTasks(configuration.getInt("mapreduce.reduce.tasks", 1));

    System.out.println("Job Initialization Complete, The status of the Mirror job will be written to: "
            + stateManager.getReportPath());
    return job;//  w  w  w. j  a va  2 s . c  om
}

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