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

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

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Introduction

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

Prototype

public void setMapperClass(Class<? extends Mapper> cls) throws IllegalStateException

Source Link

Document

Set the Mapper for the job.

Usage

From source file:com.cg.mapreduce.myfpgrowth.PFPGrowth.java

License:Apache License

/**
 * Count the frequencies of various features in parallel using Map/Reduce
 *//*  ww  w  . ja  v a 2  s  .c o m*/
public static void startParallelCounting(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf.set(PFP_PARAMETERS, params.toString());
    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");

    String input = params.get(INPUT);
    Job job = new Job(conf, "Parallel Counting Driver running over input: " + input);
    job.setJarByClass(PFPGrowth.class);

    //    Job job = initJob(conf);  
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(LongWritable.class);

    FileInputFormat.addInputPath(job, new Path(input));
    Path outPath = new Path(params.get(OUTPUT), PARALLEL_COUNTING);
    FileOutputFormat.setOutputPath(job, outPath);

    HadoopUtil.delete(conf, outPath);

    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(ParallelCountingMapper.class);
    job.setCombinerClass(ParallelCountingReducer.class);
    job.setReducerClass(ParallelCountingReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }

}

From source file:com.cg.mapreduce.myfpgrowth.PFPGrowth.java

License:Apache License

/**
 * Run the Parallel FPGrowth Map/Reduce Job to calculate the Top K features of group dependent shards
 *//*from   w  w  w. j  a  v a  2  s.c om*/
public static void startParallelFPGrowth(Parameters params, Configuration conf)
        throws IOException, InterruptedException, ClassNotFoundException {
    conf.set(PFP_PARAMETERS, params.toString());
    conf.set("mapred.compress.map.output", "true");
    conf.set("mapred.output.compression.type", "BLOCK");

    Path input = new Path(params.get(INPUT));
    Job job = new Job(conf, "PFP Growth Driver running over input" + input);
    job.setJarByClass(PFPGrowth.class);
    //    Job job = initJob(conf);

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

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

    FileInputFormat.addInputPath(job, input);
    Path outPath = new Path(params.get(OUTPUT), FPGROWTH);
    FileOutputFormat.setOutputPath(job, outPath);

    HadoopUtil.delete(conf, outPath);

    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(ParallelFPGrowthMapper.class);
    //job.setCombinerClass(ParallelFPGrowthCombiner.class);
    job.setReducerClass(ParallelFPGrowthReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded) {
        throw new IllegalStateException("Job failed!");
    }
}

From source file:com.ckelsel.hadoop.mapreduce.WordCount.WordCount.java

License:Open Source 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: EventCount <in> <out>");
        System.exit(2);//from   w  ww  .  j  a  va 2  s.c o  m
    }
    Job job = Job.getInstance(conf, "event count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(MyMapper.class);
    job.setCombinerClass(MyReducer.class);
    job.setReducerClass(MyReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));

    // delete output if exists
    Path outPath = new Path(otherArgs[1]);
    outPath.getFileSystem(conf).delete(outPath, true);
    FileOutputFormat.setOutputPath(job, outPath);
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.cloudera.accumulo.upgrade.compatibility.DataCompatibilityLoad.java

License:Open Source License

@Override
public int run(String[] args) throws Exception {
    final String jobName = this.getClass().getName();
    options.parseArgs(jobName, args);//  w ww. j a v a  2 s  .  co  m
    final Job job = new Job(getConf(), jobName);

    if (-1 == options.test.numRows) {
        options.test.numRows = job.getConfiguration().getInt("mapred.map.tasks",
                DataCompatibilityTestCli.DEFAULT_NUM_ROWS);
    }

    job.setJarByClass(this.getClass());

    job.setInputFormatClass(DataLoadInputFormat.class);
    DataLoadInputFormat.setTabletServers(job,
            options.connection.getConnector().instanceOperations().getTabletServers());
    DataLoadInputFormat.setNumRows(job, options.test.numRows);
    DataLoadInputFormat.setNumQualifiersPerFamily(job, options.test.qualifiers);

    job.getConfiguration().set(VISIBILITY, new String(options.visibility.visibility.getExpression(), "UTF-8"));

    final TableOperations ops = options.connection.getConnector().tableOperations();

    final List<String> names = options.test.getTableNamesAndConfigureThem(ops);
    for (String name : names) {
        final int numSplits = ops.getSplits(name, options.test.numRows).size();
        if (options.test.numRows > numSplits) {
            log.info("adding splits to table '" + name + "', to bring it from " + numSplits + " to "
                    + options.test.numRows + ".");
            final SortedSet<Text> splits = new TreeSet<Text>();
            // for cases where we're adding way more splits than there are currently possible servers to handle them, do a pre-pre-split
            //   N.B. If we've just created this table, there will be 0 splits because we'll just have the initial tablet.
            if (0 == numSplits || options.test.numRows / numSplits > 10) {
                log.info("splitting in two waves due to the number of splits we need to add.");
                // TODO turtles all the way down.
                final int prepre = options.test.numRows / (0 == numSplits ? 10 : numSplits * 10);
                for (int i = 0; i < prepre; i++) {
                    splits.add(new Text(new StringBuilder(Long.toString(i)).reverse().toString()));
                }
                ops.addSplits(name, splits);
                log.debug("delay 30s for splits to get assigned off host.");
                try {
                    Thread.currentThread().sleep(30 * 1000);
                } catch (InterruptedException exception) {
                    log.warn("interrupted from sleep early.");
                }
                splits.clear();
            }
            for (int i = 0; i < options.test.numRows; i++) {
                splits.add(new Text(new StringBuilder(Long.toString(i)).reverse().toString()));
            }
            ops.addSplits(name, splits);
        }
    }
    log.debug("delay 30s for splits to get assigned off host.");
    try {
        Thread.currentThread().sleep(30 * 1000);
    } catch (InterruptedException exception) {
        log.warn("interrupted from sleep early.");
    }

    job.getConfiguration().setStrings(OUTPUT_TABLE_NAMES, names.toArray(new String[0]));

    job.setMapperClass(DataLoadMapper.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(Mutation.class);

    job.setNumReduceTasks(0);

    log.info("launching map-only job to insert " + options.test.numRows + " rows of "
            + (FAMILIES.length * options.test.qualifiers) + " cells each into each of the tables " + names);
    options.output.useAccumuloOutputFormat(job);

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

From source file:com.cloudera.accumulo.upgrade.compatibility.DataCompatibilityVerify.java

License:Open Source License

@Override
public int run(String[] args) throws Exception {
    final String jobName = this.getClass().getName();
    options.parseArgs(jobName, args);//from   w w w. j  a  v  a  2  s  .  c o  m
    try {
        final int totalMapSlots = getConf().getInt("mapred.map.tasks",
                DataCompatibilityTestCli.DEFAULT_NUM_ROWS);
        if (-1 == options.test.numRows) {
            options.test.numRows = totalMapSlots;
        }
        final TableOperations ops = options.connection.getConnector().tableOperations();
        final List<String> names = options.test.getTableNames(ops);
        int totalReduceSlots = getConf().getInt("mapred.reduce.tasks", 0);
        if (-1 != options.test.numReduceSlots) {
            totalReduceSlots = options.test.numReduceSlots;
        }
        if (0 == totalReduceSlots) {
            totalReduceSlots = names.size();
        }
        final int reducesPerJob = Math.max(1, totalReduceSlots / names.size());

        final List<Job> jobs = new ArrayList();
        for (String name : names) {
            final Job job = new Job(getConf(), jobName + " " + name);
            job.setJarByClass(this.getClass());
            options.input.useAccumuloInputFormat(job, name);
            job.setMapperClass(DataVerifyMapper.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(LongWritable.class);
            job.setReducerClass(LongSumReducer.class);
            job.setCombinerClass(LongSumReducer.class);
            job.setOutputFormatClass(TextOutputFormat.class);
            TextOutputFormat.setOutputPath(job, new Path(options.test.output, name));
            job.setNumReduceTasks(reducesPerJob);
            job.submit();
            jobs.add(job);
        }

        boolean success = true;
        final long numCellsPerRow = options.test.qualifiers * DataCompatibilityLoad.FAMILIES.length;
        final long numCellsPerFamily = options.test.qualifiers * options.test.numRows;
        for (Job job : jobs) {
            success &= job.waitForCompletion(true);
            final CounterGroup group = job.getCounters().getGroup(DataVerifyMapper.class.getName());
            if (null == group) {
                log.error("Job '" + job.getJobName() + "' doesn't have counters for the verification mapper.");
                success = false;
            } else {
                final Counter badCounter = group.findCounter(BAD_COUNTER);
                if (null != badCounter && 0 < badCounter.getValue()) {
                    log.error("Job '" + job.getJobName() + "' has " + badCounter.getValue()
                            + " entries with bad checksums.");
                    success = false;
                }
                int numRows = 0;
                int numFamilies = 0;
                for (Counter counter : group) {
                    if (counter.getName().startsWith(ROW_COUNTER_PREFIX)) {
                        numRows++;
                        if (numCellsPerRow != counter.getValue()) {
                            log.error("Job '" + job.getJobName() + "', counter '" + counter.getName()
                                    + "' should have " + numCellsPerRow + " cells, but instead has "
                                    + counter.getValue());
                            success = false;
                        }
                    } else if (counter.getName().startsWith(FAMILY_COUNTER_PREFIX)) {
                        numFamilies++;
                        if (numCellsPerFamily != counter.getValue()) {
                            log.error("Job '" + job.getJobName() + "', counter '" + counter.getName()
                                    + "' should have " + numCellsPerFamily + " cells, but instead has "
                                    + counter.getValue());
                            success = false;
                        }
                    }
                }
                if (options.test.numRows != numRows) {
                    log.error("Job '" + job.getJobName() + "' is supposed to have " + options.test.numRows
                            + " rows, but has " + numRows);
                    success = false;
                }
                if (DataCompatibilityLoad.FAMILIES.length != numFamilies) {
                    log.error("Job '" + job.getJobName() + "' is supposed to have "
                            + DataCompatibilityLoad.FAMILIES.length + " families, but has " + numFamilies);
                    success = false;
                }
            }
        }
        if (success) {
            log.info("All internal checks passed.");
        } else {
            log.info("Some checks failed. see log.");
        }
        return success ? 0 : 1;
    } finally {
        options.input.close();
    }
}

From source file:com.cloudera.avro.MapReduceAvroWordCount.java

License:Apache License

public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.println("Usage: AvroWordCount <input path> <output path>");
        return -1;
    }/*from ww w. j  a  v  a 2  s. c  o  m*/

    Job job = new Job(getConf());
    job.setJarByClass(MapReduceAvroWordCount.class);
    job.setJobName("wordcount");

    // 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]));

    job.waitForCompletion(true);

    return 0;
}

From source file:com.cloudera.avro.MapReduceColorCount.java

License:Apache License

public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.println("Usage: MapReduceColorCount <input path> <output path>");
        return -1;
    }//from  ww w  .j  a va  2 s.  com

    Job job = new Job(getConf());
    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());
    AvroJob.setMapOutputValueSchema(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) ? 0 : 1);
}

From source file:com.cloudera.ByteCount.java

License:Apache License

public static void main(String[] args) throws Exception {
    JobConf conf = new JobConf(new Configuration());

    // Trim off the hadoop-specific args
    String[] remArgs = new GenericOptionsParser(conf, args).getRemainingArgs();

    // Pull in properties
    Options options = new Options();

    Option property = OptionBuilder.withArgName("property=value").hasArgs(2).withValueSeparator()
            .withDescription("use value for given property").create("D");
    options.addOption(property);//from www  .  j av  a2 s  . c o m

    Option skipChecksums = new Option("skipChecksums", "skip checksums");
    options.addOption(skipChecksums);

    Option profile = new Option("profile", "profile tasks");
    options.addOption(profile);

    CommandLineParser parser = new BasicParser();
    CommandLine line = parser.parse(options, remArgs);

    Properties properties = line.getOptionProperties("D");
    for (Entry<Object, Object> prop : properties.entrySet()) {
        conf.set(prop.getKey().toString(), prop.getValue().toString());
        System.out.println("Set config key " + prop.getKey() + " to " + prop.getValue());
    }

    if (line.hasOption("skipChecksums")) {
        conf.setBoolean("bytecount.skipChecksums", true);
        System.out.println("Skipping checksums");
    }

    if (line.hasOption("profile")) {
        conf.setBoolean("mapred.task.profile", true);
        conf.set("mapred.task.profile.params",
                "-agentlib:hprof=cpu=samples,depth=100,interval=1ms,lineno=y,thread=y,file=%s");
        conf.set(MRJobConfig.NUM_MAP_PROFILES, "0");
        conf.set("mapred.task.profile.maps", "1");
        System.out.println("Profiling map tasks");
    }

    // Get the positional arguments out
    remArgs = line.getArgs();
    if (remArgs.length != 2) {
        System.err.println("Usage: ByteCount <inputBase> <outputBase>");
        System.exit(1);
    }
    String inputBase = remArgs[0];
    String outputBase = remArgs[1];

    Job job = Job.getInstance(conf);

    job.setInputFormatClass(ByteBufferInputFormat.class);

    job.setMapOutputKeyClass(ByteWritable.class);
    job.setMapOutputValueClass(LongWritable.class);

    job.setMapperClass(ByteCountMapper.class);
    job.setReducerClass(ByteCountReducer.class);
    job.setCombinerClass(ByteCountReducer.class);

    job.setOutputKeyClass(ByteWritable.class);
    job.setOutputValueClass(LongWritable.class);

    FileInputFormat.addInputPath(job, new Path(inputBase));
    FileOutputFormat.setOutputPath(job, new Path(outputBase));

    job.setJarByClass(ByteCount.class);

    boolean success = job.waitForCompletion(true);

    Counters counters = job.getCounters();
    System.out.println("\tRead counters");
    printCounter(counters, READ_COUNTER.BYTES_READ);
    printCounter(counters, READ_COUNTER.LOCAL_BYTES_READ);
    printCounter(counters, READ_COUNTER.SCR_BYTES_READ);
    printCounter(counters, READ_COUNTER.ZCR_BYTES_READ);

    System.exit(success ? 0 : 1);
}

From source file:com.cloudera.castagna.logparser.mr.StatusCodesStats.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.printf("Usage: %s [generic options] <input> <output>\n", getClass().getName());
        ToolRunner.printGenericCommandUsage(System.err);
        return -1;
    }// w w w  .  j a  v  a 2s . c  o  m

    Configuration configuration = getConf();
    boolean useCompression = configuration.getBoolean(Constants.OPTION_USE_COMPRESSION,
            Constants.OPTION_USE_COMPRESSION_DEFAULT);

    if (useCompression) {
        configuration.setBoolean("mapred.compress.map.output", true);
        configuration.set("mapred.output.compression.type", "BLOCK");
        configuration.set("mapred.map.output.compression.codec", "org.apache.hadoop.io.compress.GzipCodec");
    }

    boolean overrideOutput = configuration.getBoolean(Constants.OPTION_OVERWRITE_OUTPUT,
            Constants.OPTION_OVERWRITE_OUTPUT_DEFAULT);
    FileSystem fs = FileSystem.get(new Path(args[1]).toUri(), configuration);
    if (overrideOutput) {
        fs.delete(new Path(args[1]), true);
    }

    Job job = Job.getInstance(configuration);
    job.setJobName(Constants.STATUS_CODES_STATS);
    job.setJarByClass(getClass());

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

    job.setInputFormatClass(TextInputFormat.class);

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

    job.setCombinerClass(StatusCodesStatsCombiner.class);

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

    Utils.setReducers(job, configuration, log);

    job.setOutputFormatClass(TextOutputFormat.class);

    if (log.isDebugEnabled())
        Utils.log(job, log);

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

From source file:com.cloudera.castagna.logparser.mr.TranscodeLogs.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.printf("Usage: %s [generic options] <input> <output>\n", getClass().getName());
        ToolRunner.printGenericCommandUsage(System.err);
        return -1;
    }//from  w w  w  .j av  a 2  s.com

    Configuration configuration = getConf();

    boolean overrideOutput = configuration.getBoolean(Constants.OPTION_OVERWRITE_OUTPUT,
            Constants.OPTION_OVERWRITE_OUTPUT_DEFAULT);
    FileSystem fs = FileSystem.get(new Path(args[1]).toUri(), configuration);
    if (overrideOutput) {
        fs.delete(new Path(args[1]), true);
    }

    Job job = Job.getInstance(configuration);
    job.setJobName(Constants.STATUS_CODES_STATS);
    job.setJarByClass(getClass());

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

    job.setInputFormatClass(TextInputFormat.class);

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

    job.setNumReduceTasks(0);

    job.setOutputFormatClass(TextOutputFormat.class);

    if (log.isDebugEnabled())
        Utils.log(job, log);

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