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

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

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Introduction

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

Prototype

public void setMapOutputKeyClass(Class<?> theClass) throws IllegalStateException

Source Link

Document

Set the key class for the map output data.

Usage

From source file:WordCount.java

License:Apache License

public int run(String[] args) throws Exception {
    ///start/*from   w  w  w .  j  av a 2  s.com*/
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }
    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";
        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);
        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);

            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);

            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);

            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }
        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");

        //Change partitioner here
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row
        //Son degisiklik Super Column Support ?
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");
        job.waitForCompletion(true);
    }

    final double duration = (System.currentTimeMillis() - startTime) / 1000.0;
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

From source file:HiddenMarkovModelBuilder.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Job job = new Job(getConf());
    String jobName = "HMM model builder";
    job.setJobName(jobName);//from  ww  w.  j  a v  a 2 s. co m

    job.setJarByClass(HiddenMarkovModelBuilder.class);

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

    Utility.setConfiguration(job.getConfiguration(), "avenir");
    job.setMapperClass(HiddenMarkovModelBuilder.StateTransitionMapper.class);
    job.setReducerClass(HiddenMarkovModelBuilder.StateTransitionReducer.class);
    job.setCombinerClass(MarkovStateTransitionModel.StateTransitionCombiner.class);

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

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

    job.setNumReduceTasks(job.getConfiguration().getInt("num.reducer", 1));

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

From source file:FindMaxPageRankNodes.java

License:Apache License

/**
 * Runs this tool.//from w  w  w .  j  a v a 2 s.com
 */
@SuppressWarnings({ "static-access" })
public int run(String[] args) throws Exception {
    Options options = new Options();

    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));
    options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("top n").create(TOP));

    CommandLine cmdline;
    CommandLineParser parser = new GnuParser();

    try {
        cmdline = parser.parse(options, args);
    } catch (ParseException exp) {
        System.err.println("Error parsing command line: " + exp.getMessage());
        return -1;
    }

    if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT) || !cmdline.hasOption(TOP)) {
        System.out.println("args: " + Arrays.toString(args));
        HelpFormatter formatter = new HelpFormatter();
        formatter.setWidth(120);
        formatter.printHelp(this.getClass().getName(), options);
        ToolRunner.printGenericCommandUsage(System.out);
        return -1;
    }

    String inputPath = cmdline.getOptionValue(INPUT);
    String outputPath = cmdline.getOptionValue(OUTPUT);
    int n = Integer.parseInt(cmdline.getOptionValue(TOP));

    LOG.info("Tool name: " + FindMaxPageRankNodes.class.getSimpleName());
    LOG.info(" - input: " + inputPath);
    LOG.info(" - output: " + outputPath);
    LOG.info(" - top: " + n);

    Configuration conf = getConf();
    conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024);
    conf.setInt("n", n);

    Job job = Job.getInstance(conf);
    job.setJobName(FindMaxPageRankNodes.class.getName() + ":" + inputPath);
    job.setJarByClass(FindMaxPageRankNodes.class);

    job.setNumReduceTasks(1);

    FileInputFormat.addInputPath(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

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

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

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

    job.setMapperClass(MyMapper.class);
    job.setReducerClass(MyReducer.class);

    // Delete the output directory if it exists already.
    FileSystem.get(conf).delete(new Path(outputPath), true);

    job.waitForCompletion(true);

    return 0;
}

From source file:MarkovStateTransitionModel.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Job job = new Job(getConf());
    String jobName = "Markov tate transition model";
    job.setJobName(jobName);//  w ww .  j  a  v a  2 s .co  m

    job.setJarByClass(MarkovStateTransitionModel.class);

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

    Utility.setConfiguration(job.getConfiguration(), "avenir");
    job.setMapperClass(MarkovStateTransitionModel.StateTransitionMapper.class);
    job.setReducerClass(MarkovStateTransitionModel.StateTransitionReducer.class);
    job.setCombinerClass(MarkovStateTransitionModel.StateTransitionCombiner.class);

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

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

    job.setNumReduceTasks(job.getConfiguration().getInt("num.reducer", 1));

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

From source file:DescSorter.java

License:Apache License

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length < 2) {
        System.err.println("Usage: flights <in> <in> <out>");
        System.exit(2);/*from  w  ww . j  a  v  a2  s  . co m*/
    }
    Job job = new Job(conf, "AvgDelays");
    job.setJarByClass(DescSorter.class);
    job.setMapperClass(FlightMapper.class);

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

    job.setPartitionerClass(CompositeKeyPartitioner.class);
    job.setSortComparatorClass(SortComparator.class);
    job.setGroupingComparatorClass(GroupingComparator.class);

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

    for (int i = 0; i < otherArgs.length - 1; ++i) {
        FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
    }
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:DumpPageRankRecordsToPlainText.java

License:Apache License

/**
 * Runs this tool.//w w w  .  ja v  a  2 s  .com
 */
@SuppressWarnings({ "static-access" })
public int run(String[] args) throws Exception {
    Options options = new Options();

    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));

    CommandLine cmdline;
    CommandLineParser parser = new GnuParser();

    try {
        cmdline = parser.parse(options, args);
    } catch (ParseException exp) {
        System.err.println("Error parsing command line: " + exp.getMessage());
        return -1;
    }

    if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) {
        System.out.println("args: " + Arrays.toString(args));
        HelpFormatter formatter = new HelpFormatter();
        formatter.setWidth(120);
        formatter.printHelp(this.getClass().getName(), options);
        ToolRunner.printGenericCommandUsage(System.out);
        return -1;
    }

    String inputPath = cmdline.getOptionValue(INPUT);
    String outputPath = cmdline.getOptionValue(OUTPUT);

    LOG.info("Tool name: " + DumpPageRankRecordsToPlainText.class.getSimpleName());
    LOG.info(" - input: " + inputPath);
    LOG.info(" - output: " + outputPath);

    Configuration conf = new Configuration();
    conf.setInt("mapred.min.split.size", 1024 * 1024 * 1024);

    Job job = Job.getInstance(conf);
    job.setJobName(DumpPageRankRecordsToPlainText.class.getSimpleName());
    job.setJarByClass(DumpPageRankRecordsToPlainText.class);

    job.setNumReduceTasks(0);

    FileInputFormat.addInputPath(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

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

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

    // Delete the output directory if it exists already.
    FileSystem.get(conf).delete(new Path(outputPath), true);

    job.waitForCompletion(true);

    return 0;
}

From source file:WordCount.java

License:Apache License

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

    ///start/* www  .  j  a va 2 s .co m*/
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }
    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";
        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);

        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);

            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);

            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);

            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }

        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row
        //Son degisiklik
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);
        //System.out.println("tessssssaaat");

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");

        job.waitForCompletion(true);
    }
    //print
    final double duration = (System.currentTimeMillis() - startTime) / 1000.0; // after
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

From source file:ComputeCooccurrenceMatrixPairs.java

License:Apache License

/**
 * Runs this tool.//from  w w  w . ja va  2  s.  c o  m
 */
@SuppressWarnings({ "static-access" })
public int run(String[] args) throws Exception {
    Options options = new Options();

    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("input path").create(INPUT));
    options.addOption(OptionBuilder.withArgName("path").hasArg().withDescription("output path").create(OUTPUT));
    options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("window size").create(WINDOW));
    options.addOption(OptionBuilder.withArgName("num").hasArg().withDescription("number of reducers")
            .create(NUM_REDUCERS));

    CommandLine cmdline;
    CommandLineParser parser = new GnuParser();

    try {
        cmdline = parser.parse(options, args);
    } catch (ParseException exp) {
        System.err.println("Error parsing command line: " + exp.getMessage());
        return -1;
    }

    if (!cmdline.hasOption(INPUT) || !cmdline.hasOption(OUTPUT)) {
        System.out.println("args: " + Arrays.toString(args));
        HelpFormatter formatter = new HelpFormatter();
        formatter.setWidth(120);
        formatter.printHelp(this.getClass().getName(), options);
        ToolRunner.printGenericCommandUsage(System.out);
        return -1;
    }

    String inputPath = cmdline.getOptionValue(INPUT);
    String outputPath = cmdline.getOptionValue(OUTPUT);
    int reduceTasks = cmdline.hasOption(NUM_REDUCERS) ? Integer.parseInt(cmdline.getOptionValue(NUM_REDUCERS))
            : 1;
    int window = cmdline.hasOption(WINDOW) ? Integer.parseInt(cmdline.getOptionValue(WINDOW)) : 2;

    LOG.info("Tool: " + ComputeCooccurrenceMatrixPairs.class.getSimpleName());
    LOG.info(" - input path: " + inputPath);
    LOG.info(" - output path: " + outputPath);
    LOG.info(" - window: " + window);
    LOG.info(" - number of reducers: " + reduceTasks);

    Job job = Job.getInstance(getConf());
    job.setJobName(ComputeCooccurrenceMatrixPairs.class.getSimpleName());
    job.setJarByClass(ComputeCooccurrenceMatrixPairs.class);

    // Delete the output directory if it exists already.
    Path outputDir = new Path(outputPath);
    FileSystem.get(getConf()).delete(outputDir, true);

    job.getConfiguration().setInt("window", window);

    job.setNumReduceTasks(reduceTasks);

    FileInputFormat.setInputPaths(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

    job.setMapOutputKeyClass(PairOfStrings.class);
    job.setMapOutputValueClass(IntWritable.class);
    job.setOutputKeyClass(PairOfStrings.class);
    job.setOutputValueClass(IntWritable.class);

    job.setMapperClass(MyMapper.class);
    job.setCombinerClass(MyReducer.class);
    job.setReducerClass(MyReducer.class);
    job.setPartitionerClass(MyPartitioner.class);

    long startTime = System.currentTimeMillis();
    job.waitForCompletion(true);
    System.out.println("Job Finished in " + (System.currentTimeMillis() - startTime) / 1000.0 + " seconds");

    return 0;
}

From source file:WordCount.java

License:Apache License

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

    ///start// ww w. j  a va 2s  .  c o  m
    final long startTime = System.currentTimeMillis();
    String outputReducerType = "filesystem";
    if (args != null && args[0].startsWith(OUTPUT_REDUCER_VAR)) {
        String[] s = args[0].split("=");
        if (s != null && s.length == 2)
            outputReducerType = s[1];
    }

    logger.info("output reducer type: " + outputReducerType);

    // use a smaller page size that doesn't divide the row count evenly to exercise the paging logic better
    ConfigHelper.setRangeBatchSize(getConf(), 99);

    for (int i = 0; i < WordCountSetup.TEST_COUNT; i++) {
        String columnName = "userId";

        Job job = new Job(getConf(), "wordcount");
        job.setJarByClass(WordCount.class);
        job.setMapperClass(TokenizerMapper.class);

        if (outputReducerType.equalsIgnoreCase("filesystem")) {
            job.setReducerClass(ReducerToFilesystem.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            FileOutputFormat.setOutputPath(job, new Path(OUTPUT_PATH_PREFIX + i));
        } else {
            job.setReducerClass(ReducerToCassandra.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(ByteBuffer.class);
            job.setOutputValueClass(List.class);
            job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
            ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KEYSPACE, OUTPUT_COLUMN_FAMILY);
            job.getConfiguration().set(CONF_COLUMN_NAME, "sum");
        }
        job.setInputFormatClass(ColumnFamilyInputFormat.class);
        ConfigHelper.setInputRpcPort(job.getConfiguration(), "9160");
        ConfigHelper.setInputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setInputPartitioner(job.getConfiguration(), "RandomPartitioner");
        ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY);

        SlicePredicate predicate = new SlicePredicate()
                .setColumn_names(Arrays.asList(ByteBufferUtil.bytes(columnName)));
        ConfigHelper.setInputSlicePredicate(job.getConfiguration(), predicate);

        // this will cause the predicate to be ignored in favor of scanning everything as a wide row          
        //Son degisiklik
        // ConfigHelper.setInputColumnFamily(job.getConfiguration(), KEYSPACE, COLUMN_FAMILY, true);
        //System.out.println("tessssssaaat");

        ConfigHelper.setOutputInitialAddress(job.getConfiguration(), "localhost");
        ConfigHelper.setOutputPartitioner(job.getConfiguration(), "RandomPartitioner");

        job.waitForCompletion(true);
    }

    //print
    final double duration = (System.currentTimeMillis() - startTime) / 1000.0; // after
    System.out.println();
    System.out.println("Job Finished in " + duration + " seconds");
    System.out.println();

    return 0;
}

From source file:TopFiveAverageMoviesRatedByFemales.java

public static void main(String[] args) throws Exception {
    JobConf conf1 = new JobConf();
    Job job1 = new Job(conf1, "TopFiveAverageMoviesRatedByFemales");
    org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job1, new Path(args[0]),
            TextInputFormat.class, TopFiveAverageMoviesRatedByFemales.MapRatings.class);
    org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job1, new Path(args[1]),
            TextInputFormat.class, TopFiveAverageMoviesRatedByFemales.MapGender.class);

    job1.setReducerClass(TopFiveAverageMoviesRatedByFemales.ReduceToMovieIdAndRatings.class);
    job1.setMapOutputKeyClass(Text.class);
    job1.setMapOutputValueClass(Text.class);
    job1.setOutputKeyClass(Text.class);
    job1.setOutputValueClass(Text.class);
    job1.setJarByClass(TopFiveAverageMoviesRatedByFemales.class);

    job1.setOutputFormatClass(TextOutputFormat.class);
    FileOutputFormat.setOutputPath(job1, new Path(args[3]));

    boolean flag = job1.waitForCompletion(true);
    boolean flag1 = false;
    boolean flag2 = false;

    if (flag) {/*from w ww.  java2s.co  m*/
        JobConf conf2 = new JobConf();
        Job job2 = new Job(conf2, "AverageCalculation");

        //org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job2, new Path(args[2]), TextInputFormat.class, Map2_1.class);
        //org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job2, new Path(args[3]), TextInputFormat.class, Map2_2.class);

        job2.setMapperClass(MapAverage.class);
        job2.setReducerClass(ReduceAverage.class);
        job2.setMapOutputKeyClass(Text.class);
        job2.setMapOutputValueClass(Text.class);
        job2.setOutputKeyClass(Text.class);
        job2.setOutputValueClass(Text.class);
        job2.setJarByClass(TopFiveAverageMoviesRatedByFemales.class);

        job2.setOutputFormatClass(TextOutputFormat.class);
        FileInputFormat.addInputPath(job2, new Path(args[3]));
        FileOutputFormat.setOutputPath(job2, new Path(args[4]));

        flag1 = job2.waitForCompletion(true);
    }

    if (flag1) {
        JobConf conf3 = new JobConf();
        Job job3 = new Job(conf3, "AverageCalculation");

        org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job3, new Path(args[4]),
                TextInputFormat.class, MapAverageTop5.class);
        org.apache.hadoop.mapreduce.lib.input.MultipleInputs.addInputPath(job3, new Path(args[2]),
                TextInputFormat.class, MapMovieName.class);

        //job3.setMapperClass(MapAverageTop5.class);
        job3.setReducerClass(ReduceAverageTop5.class);
        job3.setMapOutputKeyClass(Text.class);
        job3.setMapOutputValueClass(Text.class);
        job3.setOutputKeyClass(Text.class);
        job3.setOutputValueClass(Text.class);
        job3.setJarByClass(TopFiveAverageMoviesRatedByFemales.class);

        job3.setOutputFormatClass(TextOutputFormat.class);
        //FileInputFormat.addInputPath(job3, new Path(args[4]));
        FileOutputFormat.setOutputPath(job3, new Path(args[5]));

        flag2 = job3.waitForCompletion(true);

    }
}