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.cloudera.crunch.impl.mr.plan.JobPrototype.java

License:Open Source License

private CrunchJob build(Class<?> jarClass, Configuration conf) throws IOException {
    Job job = new Job(conf);
    conf = job.getConfiguration();/* w w  w . j  a  v  a2s.c om*/
    job.setJarByClass(jarClass);

    Set<DoNode> outputNodes = Sets.newHashSet();
    Set<Target> targets = targetsToNodePaths.keySet();
    MSCROutputHandler outputHandler = new MSCROutputHandler(job, workingPath, group == null);
    for (Target target : targets) {
        DoNode node = null;
        for (NodePath nodePath : targetsToNodePaths.get(target)) {
            if (node == null) {
                PCollectionImpl collect = nodePath.tail();
                node = DoNode.createOutputNode(target.toString(), collect.getPType());
                outputHandler.configureNode(node, target);
            }
            outputNodes.add(walkPath(nodePath.descendingIterator(), node));
        }
    }

    job.setMapperClass(CrunchMapper.class);
    List<DoNode> inputNodes;
    DoNode reduceNode = null;
    RTNodeSerializer serializer = new RTNodeSerializer();
    if (group != null) {
        job.setReducerClass(CrunchReducer.class);
        List<DoNode> reduceNodes = Lists.newArrayList(outputNodes);
        reduceNode = reduceNodes.get(0);
        serializer.serialize(reduceNodes, conf, NodeContext.REDUCE);

        group.configureShuffle(job);

        DoNode mapOutputNode = group.getGroupingNode();
        if (reduceNodes.size() == 1 && combineFnTable != null) {
            // Handle the combiner case
            DoNode mapSideCombineNode = combineFnTable.createDoNode();
            mapSideCombineNode.addChild(mapOutputNode);
            mapOutputNode = mapSideCombineNode;
        }

        Set<DoNode> mapNodes = Sets.newHashSet();
        for (NodePath nodePath : mapNodePaths) {
            // Advance these one step, since we've already configured
            // the grouping node, and the PGroupedTableImpl is the tail
            // of the NodePath.
            Iterator<PCollectionImpl> iter = nodePath.descendingIterator();
            iter.next();
            mapNodes.add(walkPath(iter, mapOutputNode));
        }
        inputNodes = Lists.newArrayList(mapNodes);
        serializer.serialize(inputNodes, conf, NodeContext.MAP);
    } else { // No grouping
        job.setNumReduceTasks(0);
        inputNodes = Lists.newArrayList(outputNodes);
        serializer.serialize(inputNodes, conf, NodeContext.MAP);
    }

    if (inputNodes.size() == 1) {
        DoNode inputNode = inputNodes.get(0);
        inputNode.getSource().configureSource(job, -1);
    } else {
        for (int i = 0; i < inputNodes.size(); i++) {
            DoNode inputNode = inputNodes.get(i);
            inputNode.getSource().configureSource(job, i);
        }
        job.setInputFormatClass(CrunchInputFormat.class);
    }
    job.setJobName(createJobName(inputNodes, reduceNode));

    return new CrunchJob(job, workingPath, outputHandler);
}

From source file:com.cloudera.crunch.io.hbase.HBaseSourceTarget.java

License:Open Source License

@Override
public void configureSource(Job job, int inputId) throws IOException {
    Configuration conf = job.getConfiguration();
    job.setInputFormatClass(TableInputFormat.class);
    job.setMapperClass(CrunchMapper.class);
    HBaseConfiguration.addHbaseResources(conf);
    conf.set(TableInputFormat.INPUT_TABLE, table);
    conf.set(TableInputFormat.SCAN, convertScanToString(scan));
    TableMapReduceUtil.addDependencyJars(job);
}

From source file:com.cloudera.hbase.WordCount.java

License:Open Source License

public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.println("Usage: wordcount <in> <out>");
        return 2;
    }//from   w  ww.  j  a  va2  s  .  c  o  m

    Configuration conf = getConf();

    Job job = new Job(conf, "word count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(Map.class);
    job.setCombinerClass(Reduce.class);
    job.setReducerClass(Reduce.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    return job.waitForCompletion(true) ? 0 : 1;
}

From source file:com.cloudera.recordservice.avro.mapreduce.ColorCount.java

License:Apache License

/**
 * Run the MR2 color count with generic records, and return a map of favorite colors to
 * the number of users.//from   w  w  w  . ja  va  2s .com
 */
public static java.util.Map<String, Integer> countColors()
        throws IOException, ClassNotFoundException, InterruptedException {
    String output = TestUtil.getTempDirectory();
    Path outputPath = new Path(output);
    JobConf conf = new JobConf(ColorCount.class);
    conf.setInt("mapreduce.job.reduces", 1);

    Job job = Job.getInstance(conf);
    job.setJarByClass(ColorCount.class);
    job.setJobName("MR2 Color Count With Generic Records");

    RecordServiceConfig.setInputTable(job.getConfiguration(), "rs", "users");
    job.setInputFormatClass(com.cloudera.recordservice.avro.mapreduce.AvroKeyInputFormat.class);
    FileOutputFormat.setOutputPath(job, outputPath);

    job.setMapperClass(Map.class);
    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(IntWritable.class);

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

    job.waitForCompletion(false);

    // Read the result and return it. Since we set the number of reducers to 1,
    // there is always just one file containing the value.
    SeekableInput input = new FsInput(new Path(output + "/part-r-00000.avro"), conf);
    DatumReader<GenericRecord> reader = new GenericDatumReader<GenericRecord>();
    FileReader<GenericRecord> fileReader = DataFileReader.openReader(input, reader);
    java.util.Map<String, Integer> colorMap = new HashMap<String, Integer>();
    for (GenericRecord datum : fileReader) {
        colorMap.put(datum.get(0).toString(), Integer.parseInt(datum.get(1).toString()));
    }
    return colorMap;
}

From source file:com.cloudera.recordservice.examples.mapreduce.MapReduceAgeCount.java

License:Apache License

public int run(String[] args) throws Exception {
    org.apache.log4j.BasicConfigurator.configure();

    if (args.length != 2) {
        System.err.println("Usage: MapReduceAgeCount <input path> <output path>");
        return -1;
    }/*from w  w  w  .ja v a  2s.c om*/

    Job job = Job.getInstance(getConf());
    job.setJarByClass(MapReduceAgeCount.class);
    job.setJobName("Age Count");

    // RECORDSERVICE:
    // To read from a table instead of a path, comment out
    // FileInputFormat.setInputPaths() and instead use:
    // FileInputFormat.setInputPaths(job, new Path(args[0]));
    RecordServiceConfig.setInputTable(job.getConfiguration(), null, args[0]);

    // RECORDSERVICE:
    // Use the RecordService version of the AvroKeyValueInputFormat
    job.setInputFormatClass(com.cloudera.recordservice.avro.mapreduce.AvroKeyValueInputFormat.class);
    FileOutputFormat.setOutputPath(job, new Path(args[1]));

    job.setMapperClass(AgeCountMapper.class);
    // Set schema for input key and value.
    AvroJob.setInputKeySchema(job, UserKey.getClassSchema());
    AvroJob.setInputValueSchema(job, UserValue.getClassSchema());

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

    job.setOutputFormatClass(AvroKeyValueOutputFormat.class);
    job.setReducerClass(AgeCountReducer.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.recordservice.examples.mapreduce.MapReduceColorCount.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    org.apache.log4j.BasicConfigurator.configure();

    if (args.length != 2) {
        System.err.println("Usage: MapReduceColorCount <input path> <output path>");
        return -1;
    }//from  w w w  .  j av a2s .  c om

    Job job = Job.getInstance(getConf());
    job.setJarByClass(MapReduceColorCount.class);
    job.setJobName("Color Count");

    // RECORDSERVICE:
    // To read from a table instead of a path, comment out
    // FileInputFormat.setInputPaths() and instead use:
    //FileInputFormat.setInputPaths(job, new Path(args[0]));
    RecordServiceConfig.setInputTable(job.getConfiguration(), "rs", "users");

    // RECORDSERVICE:
    // Use the RecordService version of the AvroKeyInputFormat
    job.setInputFormatClass(com.cloudera.recordservice.avro.mapreduce.AvroKeyInputFormat.class);
    //job.setInputFormatClass(AvroKeyInputFormat.class);

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

    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) ? 0 : 1);
}

From source file:com.cloudera.recordservice.examples.mapreduce.RecordCount.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    if (args.length != 2) {
        System.err.println("Usage: RecordCount <input_query> <output_path>");
        System.exit(1);//from   w  ww  .j a  va2 s .  c  o m
    }
    String inputQuery = args[0];
    String output = args[1];

    Job job = Job.getInstance(getConf());
    job.setJobName("recordcount");
    job.setJarByClass(RecordCount.class);
    job.setMapperClass(Map.class);
    job.setCombinerClass(Reduce.class);
    job.setReducerClass(Reduce.class);
    job.setNumReduceTasks(1);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(LongWritable.class);

    RecordServiceConfig.setInputQuery(job.getConfiguration(), inputQuery);
    job.setInputFormatClass(RecordServiceInputFormat.class);
    job.setOutputFormatClass(TextOutputFormat.class);

    FileSystem fs = FileSystem.get(job.getConfiguration());
    Path outputPath = new Path(output);
    if (fs.exists(outputPath))
        fs.delete(outputPath, true);
    FileOutputFormat.setOutputPath(job, outputPath);

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

From source file:com.cloudera.recordservice.examples.terasort.TeraChecksum.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    boolean useRecordService = false;
    Job job = Job.getInstance(getConf());
    if (args.length != 2 && args.length != 3) {
        usage();//from  www.  j  a v  a  2s .  c o m
        return 2;
    }
    if (args.length == 3) {
        useRecordService = Boolean.parseBoolean(args[2]);
    }

    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    job.setJobName("TeraSum");
    job.setJarByClass(TeraChecksum.class);
    job.setMapperClass(ChecksumMapper.class);
    job.setReducerClass(ChecksumReducer.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(Unsigned16.class);
    // force a single reducer
    job.setNumReduceTasks(1);
    if (useRecordService) {
        RecordServiceConfig.setInputTable(job.getConfiguration(), null, args[0]);
        job.setInputFormatClass(RecordServiceTeraInputFormat.class);
    } else {
        TeraInputFormat.setInputPaths(job, new Path(args[0]));
        job.setInputFormatClass(TeraInputFormat.class);
    }
    return job.waitForCompletion(true) ? 0 : 1;
}

From source file:com.cloudera.recordservice.examples.terasort.TeraGen.java

License:Apache License

/**
 * @param args the cli arguments/*from   www  .  ja v  a2  s  .c om*/
 */
@Override
public int run(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    Job job = Job.getInstance(getConf());
    if (args.length != 2) {
        usage();
        return 2;
    }
    setNumberOfRows(job, parseHumanLong(args[0]));
    Path outputDir = new Path(args[1]);
    if (outputDir.getFileSystem(getConf()).exists(outputDir)) {
        throw new IOException("Output directory " + outputDir + " already exists.");
    }
    FileOutputFormat.setOutputPath(job, outputDir);
    job.setJobName("TeraGen");
    job.setJarByClass(TeraGen.class);
    job.setMapperClass(SortGenMapper.class);
    job.setNumReduceTasks(0);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    job.setInputFormatClass(RangeInputFormat.class);
    job.setOutputFormatClass(TeraOutputFormat.class);
    return job.waitForCompletion(true) ? 0 : 1;
}

From source file:com.cloudera.recordservice.examples.terasort.TeraValidate.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    boolean useRecordService = false;
    if (args.length != 2 && args.length != 3) {
        usage();/*from   w w w  . java 2 s . com*/
        return 1;
    }
    if (args.length == 3) {
        useRecordService = Boolean.parseBoolean(args[2]);
    }

    Job job = Job.getInstance(getConf());
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    job.setJobName("TeraValidate");
    job.setJarByClass(TeraValidate.class);
    job.setMapperClass(ValidateMapper.class);
    job.setReducerClass(ValidateReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(Text.class);
    // force a single reducer
    job.setNumReduceTasks(1);
    // force a single split
    FileInputFormat.setMinInputSplitSize(job, Long.MAX_VALUE);
    if (useRecordService) {
        RecordServiceConfig.setInputTable(job.getConfiguration(), null, args[0]);
        job.setInputFormatClass(RecordServiceTeraInputFormat.class);
    } else {
        TeraInputFormat.setInputPaths(job, new Path(args[0]));
        job.setInputFormatClass(TeraInputFormat.class);
    }
    return job.waitForCompletion(true) ? 0 : 1;
}