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

Introduction

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

Prototype

public void setJarByClass(Class<?> cls) 

Source Link

Document

Set the Jar by finding where a given class came from.

Usage

From source file:cn.jpush.hdfs.mr.example.BaileyBorweinPlouffe.java

License:Apache License

/** Create and setup a job */
@SuppressWarnings("deprecation")
private static Job createJob(String name, Configuration conf) throws IOException {
    final Job job = new Job(conf, NAME + "_" + name);
    final Configuration jobconf = job.getConfiguration();
    job.setJarByClass(BaileyBorweinPlouffe.class);

    // setup mapper
    job.setMapperClass(BbpMapper.class);
    job.setMapOutputKeyClass(LongWritable.class);
    job.setMapOutputValueClass(BytesWritable.class);

    // setup reducer
    job.setReducerClass(BbpReducer.class);
    job.setOutputKeyClass(LongWritable.class);
    job.setOutputValueClass(BytesWritable.class);
    job.setNumReduceTasks(1);//from  w ww  .j av a2s. c o  m

    // setup input
    job.setInputFormatClass(BbpInputFormat.class);

    // disable task timeout
    jobconf.setLong(MRJobConfig.TASK_TIMEOUT, 0);

    // do not use speculative execution
    jobconf.setBoolean(MRJobConfig.MAP_SPECULATIVE, false);
    jobconf.setBoolean(MRJobConfig.REDUCE_SPECULATIVE, false);
    return job;
}

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From source file:cn.jpush.hdfs.mr.example.WordMedian.java

License:Apache License

public int run(String[] args) throws Exception {
    long random = new Random().nextLong();
    log.info("random -> " + random);
    args = new String[] { String.format(ConfigUtils.HDFS.WORDCOUNT_IN, "word.txt"),
            String.format(ConfigUtils.HDFS.WORDCOUNT_OUT, random) };
    setConf(new Configuration());
    Configuration conf = getConf();

    @SuppressWarnings("deprecation")
    Job job = new Job(conf, "word median");
    job.setJarByClass(WordMedian.class);
    job.setMapperClass(WordMedianMapper.class);
    job.setCombinerClass(WordMedianReducer.class);
    job.setReducerClass(WordMedianReducer.class);
    job.setOutputKeyClass(IntWritable.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1]));
    boolean result = job.waitForCompletion(true);

    // Wait for JOB 1 -- get middle value to check for Median

    long totalWords = job.getCounters().getGroup(TaskCounter.class.getCanonicalName())
            .findCounter("MAP_OUTPUT_RECORDS", "Map output records").getValue();
    int medianIndex1 = (int) Math.ceil((totalWords / 2.0));
    int medianIndex2 = (int) Math.floor((totalWords / 2.0));

    median = readAndFindMedian(args[1], medianIndex1, medianIndex2, conf);

    return (result ? 0 : 1);
}

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From source file:cn.lhfei.hadoop.ch02.MaxTemperature.java

License:Apache License

public static void main(String[] args) {

    log.debug("Logging ... ");

    if (args.length != 2) {
        System.err.println("Usage: MaxTemperature <input path> <output path>");
        System.exit(-1);//from   w w w .  j  a va2  s. c o m
    }

    try {
        Job job = new Job();
        job.setJarByClass(MaxTemperature.class);
        job.setJobName("Max temperature");

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

        /*FileInputFormat.addInputPath(job, new Path(INPUT));
        FileOutputFormat.setOutputPath(job, new Path(OUTPUT));*/

        job.setMapperClass(MaxTemperatureMapper.class);
        job.setReducerClass(MaxTemperatureReducer.class);

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

        System.exit(job.waitForCompletion(true) ? 0 : 1);
    } catch (IllegalStateException e) {
        log.error(e.getMessage(), e);
    } catch (IllegalArgumentException e) {
        log.error(e.getMessage(), e);
    } catch (ClassNotFoundException e) {
        log.error(e.getMessage(), e);
    } catch (IOException e) {
        log.error(e.getMessage(), e);
    } catch (InterruptedException e) {
        log.error(e.getMessage(), e);
    }
}

---

From source file:cn.lhfei.hadoop.ch04.MaxTemperatureWithCompression.java

License:Apache License

public static void main(String[] args) {
    if (args.length != 2) {
        System.err.println("Usage: MaxTemperatureWithCompression <input path> " + "<output path>");
        System.exit(-1);//from w  ww .  j av  a  2  s  . c  o m
    }

    try {
        Job job = new Job();
        job.setJarByClass(MaxTemperatureWithCompression.class);

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

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

        FileOutputFormat.setCompressOutput(job, true);
        FileOutputFormat.setOutputCompressorClass(job, GzipCodec.class);

        job.setMapperClass(MaxTemperatureMapper.class);
        job.setCombinerClass(MaxTemperatureReducer.class);
        job.setReducerClass(MaxTemperatureReducer.class);

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

    } catch (IOException e) {
        e.printStackTrace();
    } catch (ClassNotFoundException e) {
        e.printStackTrace();
    } catch (InterruptedException e) {
        e.printStackTrace();
    }

}

---

From source file:cn.lhfei.hadoop.ch05.v2.MaxTemperatureDriver.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().getSimpleName());
        ToolRunner.printGenericCommandUsage(System.err);
        return -1;
    }/*from w  w w. j  a v  a2s .com*/

    Job job = new Job(getConf(), "Max temperature");
    job.setJarByClass(getClass());

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

    job.setMapperClass(MaxTemperatureMapper.class);
    job.setCombinerClass(MaxTemperatureReducer.class);
    job.setReducerClass(MaxTemperatureReducer.class);

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

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

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From source file:co.cask.cdap.data.stream.StreamInputFormatTest.java

License:Apache License

private void runMR(File inputDir, File outputDir, long startTime, long endTime, long splitSize, long ttl)
        throws Exception {

    Job job = Job.getInstance();
    Configuration conf = job.getConfiguration();

    StreamInputFormat.setTTL(conf, ttl);
    StreamInputFormat.setStreamPath(conf, inputDir.toURI());
    StreamInputFormat.setTimeRange(conf, startTime, endTime);
    StreamInputFormat.setMaxSplitSize(conf, splitSize);
    job.setInputFormatClass(TestStreamInputFormat.class);

    TextOutputFormat.setOutputPath(job, new Path(outputDir.toURI()));
    job.setOutputFormatClass(TextOutputFormat.class);

    job.setJarByClass(StreamInputFormatTest.class);
    job.setMapperClass(TokenizeMapper.class);
    job.setReducerClass(AggregateReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(LongWritable.class);
    job.setMapOutputValueClass(IntWritable.class);

    job.waitForCompletion(true);/*from w w  w.  ja v  a2s . c  o m*/
}

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From source file:co.cask.cdap.data.tools.HBaseTableExporter.java

License:Apache License

/**
 * Sets up the actual MapReduce job.//from  ww w .j a v  a2  s .  c  o m
 * @param tx The transaction which needs to be passed to the Scan instance. This transaction is be used by
 *           coprocessors to filter out the data corresonding to the invalid transactions .
 * @param tableName Name of the table which need to be exported as HFiles.
 * @return the configured job
 * @throws IOException
 */
public Job createSubmittableJob(Transaction tx, String tableName) throws IOException {

    Job job = Job.getInstance(hConf, "HBaseTableExporter");

    job.setJarByClass(HBaseTableExporter.class);
    Scan scan = new Scan();
    scan.setCacheBlocks(false);
    // Set the transaction attribute for the scan.
    scan.setAttribute(TxConstants.TX_OPERATION_ATTRIBUTE_KEY, new TransactionCodec().encode(tx));
    job.setNumReduceTasks(0);

    TableMapReduceUtil.initTableMapperJob(tableName, scan, KeyValueImporter.class, null, null, job);

    FileSystem fs = FileSystem.get(hConf);
    Random rand = new Random();
    Path root = new Path(fs.getWorkingDirectory(), "hbasetableexporter");
    fs.mkdirs(root);
    while (true) {
        bulkloadDir = new Path(root, "" + rand.nextLong());
        if (!fs.exists(bulkloadDir)) {
            break;
        }
    }

    HFileOutputFormat2.setOutputPath(job, bulkloadDir);
    HTable hTable = new HTable(hConf, tableName);
    HFileOutputFormat2.configureIncrementalLoad(job, hTable);

    return job;
}

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From source file:co.cask.cdap.internal.app.runtime.batch.WordCount.java

License:Apache License

public static void configureJob(Job job, String inputPath, String outputPath) throws IOException {
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(inputPath));
    FileOutputFormat.setOutputPath(job, new Path(outputPath));
}

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From source file:co.nubetech.hiho.dedup.DedupJob.java

License:Apache License

@Override
public int run(String[] args) throws Exception {
    Configuration conf = getConf();
    populateConfiguration(args);//from  ww  w  . ja va2 s .  c  o  m
    try {
        checkMandatoryConfs();
    } catch (HIHOException e1) {
        e1.printStackTrace();
        throw new Exception(e1);
    }
    Job job = new Job(conf);
    job.setJobName("Dedup job");
    job.setJarByClass(DedupJob.class);

    Class inputFormatClass = Class.forName(inputFormat);
    Class outputFormatClass = Class.forName(outputFormat);
    Class inputKeyClass = Class.forName(inputKeyClassName);
    Class inputValueClass = Class.forName(inputValueClassName);

    if (dedupBy.equals("key")) {
        job.setMapperClass(DedupKeyMapper.class);
        job.setReducerClass(DedupKeyReducer.class);
        job.setMapOutputValueClass(inputValueClass);
    } else if (dedupBy.equals("value")) {
        job.setMapperClass(DedupValueMapper.class);
        job.setReducerClass(DedupValueReducer.class);
        job.setMapOutputValueClass(inputKeyClass);
    }

    job.setInputFormatClass(inputFormatClass);
    if (inputFormat.equals("co.nubetech.hiho.dedup.DelimitedTextInputFormat")) {
        DelimitedTextInputFormat.setProperties(job, delimiter, column);
    }

    job.setMapOutputKeyClass(HihoTuple.class);

    job.setOutputKeyClass(inputKeyClass);
    job.setOutputValueClass(inputValueClass);
    job.setPartitionerClass(HihoHashPartitioner.class);
    FileInputFormat.setInputPaths(job, inputPath);
    job.setOutputFormatClass(outputFormatClass);
    FileOutputFormat.setOutputPath(job, new Path(outputPath));

    try {
        logger.debug("Output format class is " + job.getOutputFormatClass());
        logger.debug("Class is " + ReflectionUtils
                .newInstance(job.getOutputFormatClass(), job.getConfiguration()).getClass().getName());
        job.waitForCompletion(false);
        if (job.isComplete()) {
            Counters counters = job.getCounters();
            totalRecordsRead = counters.findCounter(DedupRecordCounter.TOTAL_RECORDS_READ).getValue();
            badRecords = counters.findCounter(DedupRecordCounter.BAD_RECORD).getValue();
            output = counters.findCounter(DedupRecordCounter.OUTPUT).getValue();
            duplicateRecords = totalRecordsRead - output;
            logger.info("Total records read are: " + totalRecordsRead);
            logger.info("Bad Records are: " + badRecords);
            logger.info("Output records are: " + output);
            logger.info("Duplicate records are: " + duplicateRecords);
        }

    } catch (Exception e) {
        e.printStackTrace();
    }
    return 0;
}

---

From source file:co.nubetech.hiho.job.DBQueryInputJob.java

License:Apache License

public void runJobs(Configuration conf, int jobCounter) throws IOException {

    try {/*w  w w.  ja  va  2  s .  com*/
        checkMandatoryConfs(conf);
    } catch (HIHOException e1) {
        e1.printStackTrace();
        throw new IOException(e1);
    }

    Job job = new Job(conf);
    for (Entry<String, String> entry : conf) {
        logger.warn("key, value " + entry.getKey() + "=" + entry.getValue());
    }

    // logger.debug("Number of maps " +
    // conf.getInt("mapred.map.tasks", 1));
    // conf.setInt(JobContext.NUM_MAPS,
    // conf.getInt("mapreduce.job.maps", 1));
    // job.getConfiguration().setInt("mapred.map.tasks", 4);
    job.getConfiguration().setInt(MRJobConfig.NUM_MAPS, conf.getInt(HIHOConf.NUMBER_MAPPERS, 1));
    logger.warn("Number of maps " + conf.getInt(MRJobConfig.NUM_MAPS, 1));

    job.setJobName("Import job");
    job.setJarByClass(DBQueryInputJob.class);

    String strategy = conf.get(HIHOConf.INPUT_OUTPUT_STRATEGY);
    OutputStrategyEnum os = OutputStrategyEnum.value(strategy);
    if (os == null) {
        throw new IllegalArgumentException("Wrong value of output strategy. Please correct");
    }
    if (os != OutputStrategyEnum.AVRO) {
        switch (os) {

        case DUMP: {
            // job.setMapperClass(DBImportMapper.class);
            break;
        }
        /*
         * case AVRO: { job.setMapperClass(DBInputAvroMapper.class); //
         * need avro in cp // job.setJarByClass(Schema.class); // need
         * jackson which is needed by avro - ugly! //
         * job.setJarByClass(ObjectMapper.class);
         * job.setMapOutputKeyClass(NullWritable.class);
         * job.setMapOutputValueClass(AvroValue.class);
         * job.setOutputKeyClass(NullWritable.class);
         * job.setOutputValueClass(AvroValue.class);
         * job.setOutputFormatClass(AvroOutputFormat.class);
         * 
         * AvroOutputFormat.setOutputPath(job, new
         * Path(getConf().get(HIHOConf.INPUT_OUTPUT_PATH))); break; }
         */
        case DELIMITED: {
            job.setMapperClass(DBInputDelimMapper.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            job.setOutputFormatClass(NoKeyOnlyValueOutputFormat.class);

            NoKeyOnlyValueOutputFormat.setOutputPath(job, new Path(getConf().get(HIHOConf.INPUT_OUTPUT_PATH)));
        }
        case JSON: {
            // job.setMapperClass(DBImportJsonMapper.class);
            // job.setJarByClass(ObjectMapper.class);
            break;
        }
        default: {
            job.setMapperClass(DBInputDelimMapper.class);
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(Text.class);
            job.setOutputKeyClass(Text.class);
            job.setOutputValueClass(Text.class);
            job.setOutputFormatClass(NoKeyOnlyValueOutputFormat.class);

            NoKeyOnlyValueOutputFormat.setOutputPath(job, new Path(getConf().get(HIHOConf.INPUT_OUTPUT_PATH)));
            break;
        }
        }

        String inputQuery = conf.get(DBConfiguration.INPUT_QUERY);
        String inputBoundingQuery = conf.get(DBConfiguration.INPUT_BOUNDING_QUERY);
        logger.debug("About to set the params");
        DBQueryInputFormat.setInput(job, inputQuery, inputBoundingQuery, params);
        logger.debug("Set the params");

        job.setNumReduceTasks(0);

        try {
            // job.setJarByClass(Class.forName(conf.get(
            // org.apache.hadoop.mapred.lib.db.DBConfiguration.DRIVER_CLASS_PROPERTY)));
            logger.debug("OUTPUT format class is " + job.getOutputFormatClass());

            /*
             * org.apache.hadoop.mapreduce.OutputFormat<?, ?> output =
             * ReflectionUtils.newInstance(job.getOutputFormatClass(),
             * job.getConfiguration()); output.checkOutputSpecs(job);
             */
            logger.debug("Class is " + ReflectionUtils
                    .newInstance(job.getOutputFormatClass(), job.getConfiguration()).getClass().getName());
            job.waitForCompletion(false);
            if (conf.get(HIHOConf.INPUT_OUTPUT_LOADTO) != null) {
                generateHiveScript(conf, job, jobCounter);
                generatePigScript(conf, job);
            }

        }
        /*
         * catch (HIHOException h) { h.printStackTrace(); }
         */
        catch (Exception e) {
            e.printStackTrace();
        } catch (HIHOException e) {
            e.printStackTrace();
        }
    }
    // avro to be handled differently, thanks to all the incompatibilities
    // in the apis.
    else {
        String inputQuery = conf.get(DBConfiguration.INPUT_QUERY);
        String inputBoundingQuery = conf.get(DBConfiguration.INPUT_BOUNDING_QUERY);
        logger.debug("About to set the params");
        // co.nubetech.apache.hadoop.mapred.DBQueryInputFormat.setInput(job,
        // inputQuery, inputBoundingQuery, params);
        logger.debug("Set the params");

        JobConf jobConf = new JobConf(conf);

        try {
            GenericDBWritable queryWritable = getDBWritable(jobConf);
            Schema pair = DBMapper.getPairSchema(queryWritable.getColumns());

            AvroJob.setMapOutputSchema(jobConf, pair);
            GenericRecordAvroOutputFormat.setOutputPath(jobConf,
                    new Path(getConf().get(HIHOConf.INPUT_OUTPUT_PATH)));

            co.nubetech.apache.hadoop.mapred.DBQueryInputFormat.setInput(jobConf, inputQuery,
                    inputBoundingQuery, params);
            jobConf.setInputFormat(co.nubetech.apache.hadoop.mapred.DBQueryInputFormat.class);
            jobConf.setMapperClass(DBInputAvroMapper.class);
            jobConf.setMapOutputKeyClass(NullWritable.class);
            jobConf.setMapOutputValueClass(AvroValue.class);
            jobConf.setOutputKeyClass(NullWritable.class);
            jobConf.setOutputValueClass(Text.class);
            jobConf.setOutputFormat(GenericRecordAvroOutputFormat.class);
            jobConf.setJarByClass(DBQueryInputJob.class);
            jobConf.setStrings("io.serializations",
                    "org.apache.hadoop.io.serializer.JavaSerialization,org.apache.hadoop.io.serializer.WritableSerialization,org.apache.avro.mapred.AvroSerialization");
            jobConf.setNumReduceTasks(0);
            /*
             * jobConf.setOutputFormat(org.apache.hadoop.mapred.
             * SequenceFileOutputFormat.class);
             * org.apache.hadoop.mapred.SequenceFileOutputFormat
             * .setOutputPath(jobConf, new
             * Path(getConf().get(HIHOConf.INPUT_OUTPUT_PATH)));
             */
            JobClient.runJob(jobConf);
        } catch (Throwable e) {
            e.printStackTrace();
        }

    }

}

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