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

Introduction

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

Prototype

public Configuration getConfiguration() 

Source Link

Document

Return the configuration for the job.

Usage

From source file:com.asakusafw.testdriver.file.FileDeployer.java

License:Apache License

/**
 * Opens output for the specified {@link OutputFormat}.
 * @param <V> value type//  w  ww .  j ava  2 s . com
 * @param definition target model definition
 * @param destination output location
 * @param output format
 * @return the opened {@link ModelOutput}
 * @throws IOException if failed to open the target output
 * @throws IllegalArgumentException if some parameters were {@code null}
 */
public <V> ModelOutput<V> openOutput(DataModelDefinition<V> definition, final String destination,
        FileOutputFormat<? super NullWritable, ? super V> output) throws IOException {
    assert destination != null;
    assert output != null;
    LOG.debug("Opening {} using {}", destination, output.getClass().getName());
    Job job = Job.getInstance(configuration);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(definition.getModelClass());
    final File temporaryDir = File.createTempFile("asakusa", ".tempdir");
    if (temporaryDir.delete() == false || temporaryDir.mkdirs() == false) {
        throw new IOException("Failed to create temporary directory");
    }
    LOG.debug("Using staging deploy target: {}", temporaryDir);
    URI uri = temporaryDir.toURI();
    FileOutputFormat.setOutputPath(job, new Path(uri));
    TaskAttemptContext context = new TaskAttemptContextImpl(job.getConfiguration(),
            new TaskAttemptID(new TaskID(new JobID(), TaskType.MAP, 0), 0));
    FileOutputFormatDriver<V> result = new FileOutputFormatDriver<V>(context, output, NullWritable.get()) {
        @Override
        public void close() throws IOException {
            super.close();
            deploy(destination, temporaryDir);
        }
    };
    return result;
}

---

From source file:com.asakusafw.testdriver.file.FileExporterRetriever.java

License:Apache License

@Override
public <V> DataModelSource createSource(DataModelDefinition<V> definition, FileExporterDescription description,
        TestContext context) throws IOException {
    LOG.info("??????: {}", description);
    VariableTable variables = createVariables(context);
    checkType(definition, description);//from ww w.j a  va  2  s  .  c o  m
    Configuration conf = configurations.newInstance();
    Job job = Job.getInstance(conf);
    String resolved = variables.parse(description.getPathPrefix(), false);
    FileInputFormat.setInputPaths(job, new Path(resolved));
    TaskAttemptContext taskContext = new TaskAttemptContextImpl(job.getConfiguration(),
            new TaskAttemptID(new TaskID(new JobID(), TaskType.MAP, 0), 0));
    FileInputFormat<?, V> format = getOpposite(conf, description.getOutputFormat());
    FileInputFormatDriver<V> result = new FileInputFormatDriver<>(definition, taskContext, format);
    return result;
}

---

From source file:com.asakusafw.thundergate.runtime.cache.mapreduce.CacheBuildClient.java

License:Apache License

private void updateMerge() throws IOException, InterruptedException {
    Job job = newJob();

    List<StageInput> inputList = new ArrayList<>();
    inputList.add(new StageInput(storage.getHeadContents("*").toString(), TemporaryInputFormat.class,
            MergeJoinBaseMapper.class));
    inputList.add(new StageInput(storage.getPatchContents("*").toString(), TemporaryInputFormat.class,
            MergeJoinPatchMapper.class));
    StageInputDriver.set(job, inputList);
    job.setInputFormatClass(StageInputFormat.class);
    job.setMapperClass(StageInputMapper.class);
    job.setMapOutputKeyClass(PatchApplyKey.class);
    job.setMapOutputValueClass(modelClass);

    // combiner may have no effect in normal cases
    job.setReducerClass(MergeJoinReducer.class);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(modelClass);
    job.setPartitionerClass(PatchApplyKey.Partitioner.class);
    job.setSortComparatorClass(PatchApplyKey.SortComparator.class);
    job.setGroupingComparatorClass(PatchApplyKey.GroupComparator.class);

    TemporaryOutputFormat.setOutputPath(job, getNextDirectory());
    job.setOutputFormatClass(TemporaryOutputFormat.class);
    job.getConfiguration().setClass("mapred.output.committer.class", LegacyBridgeOutputCommitter.class,
            org.apache.hadoop.mapred.OutputCommitter.class);

    LOG.info(MessageFormat.format("applying patch (merge join): {0} / {1} -> {2}",
            storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
    try {/*from ww  w.j a va  2  s .  co  m*/
        boolean succeed = job.waitForCompletion(true);
        LOG.info(MessageFormat.format("applied patch (merge join): succeed={0}, {1} / {2} -> {3}", succeed,
                storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        if (succeed == false) {
            throw new IOException(MessageFormat.format("failed to apply patch (merge join): {0} / {1} -> {2}",
                    storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        }
    } catch (ClassNotFoundException e) {
        throw new IOException(e);
    }
    putMeta();
}

---

From source file:com.asakusafw.thundergate.runtime.cache.mapreduce.CacheBuildClient.java

License:Apache License

private void updateTable() throws IOException, InterruptedException {
    Job job = newJob();
    List<StageInput> inputList = new ArrayList<>();
    inputList.add(new StageInput(storage.getHeadContents("*").toString(), TemporaryInputFormat.class,
            TableJoinBaseMapper.class));
    inputList.add(new StageInput(storage.getPatchContents("*").toString(), TemporaryInputFormat.class,
            TableJoinPatchMapper.class));
    StageInputDriver.set(job, inputList);
    StageResourceDriver.add(job, storage.getPatchContents("*").toString(), TableJoinBaseMapper.RESOURCE_KEY);
    job.setInputFormatClass(StageInputFormat.class);
    job.setMapperClass(StageInputMapper.class);
    job.setMapOutputKeyClass(NullWritable.class);
    job.setMapOutputValueClass(modelClass);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(modelClass);

    TemporaryOutputFormat.setOutputPath(job, getNextDirectory());
    job.setOutputFormatClass(TemporaryOutputFormat.class);
    job.getConfiguration().setClass("mapred.output.committer.class", LegacyBridgeOutputCommitter.class,
            org.apache.hadoop.mapred.OutputCommitter.class);

    job.setNumReduceTasks(0);//from  w  w w .j  av  a2s  .c o  m

    LOG.info(MessageFormat.format("applying patch (table join): {0} / {1} -> {2}",
            storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
    try {
        boolean succeed = job.waitForCompletion(true);
        LOG.info(MessageFormat.format("applied patch (table join): succeed={0}, {1} / {2} -> {3}", succeed,
                storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        if (succeed == false) {
            throw new IOException(MessageFormat.format("failed to apply patch (table join): {0} / {1} -> {2}",
                    storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        }
    } catch (ClassNotFoundException e) {
        throw new IOException(e);
    }
    putMeta();
}

---

From source file:com.asakusafw.thundergate.runtime.cache.mapreduce.CacheBuildClient.java

License:Apache License

private void create() throws InterruptedException, IOException {
    Job job = newJob();
    List<StageInput> inputList = new ArrayList<>();
    inputList.add(new StageInput(storage.getPatchContents("*").toString(), TemporaryInputFormat.class,
            CreateCacheMapper.class));
    StageInputDriver.set(job, inputList);
    job.setInputFormatClass(StageInputFormat.class);
    job.setMapperClass(StageInputMapper.class);
    job.setMapOutputKeyClass(NullWritable.class);
    job.setMapOutputValueClass(modelClass);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(modelClass);

    TemporaryOutputFormat.setOutputPath(job, getNextDirectory());
    job.setOutputFormatClass(TemporaryOutputFormat.class);
    job.getConfiguration().setClass("mapred.output.committer.class", LegacyBridgeOutputCommitter.class,
            org.apache.hadoop.mapred.OutputCommitter.class);

    job.setNumReduceTasks(0);//from w w w.  j a  v a2 s  .  co m

    LOG.info(MessageFormat.format("applying patch (no join): {0} / (empty) -> {2}",
            storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
    try {
        boolean succeed = job.waitForCompletion(true);
        LOG.info(MessageFormat.format("applied patch (no join): succeed={0}, {1} / (empty) -> {3}", succeed,
                storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        if (succeed == false) {
            throw new IOException(MessageFormat.format("failed to apply patch (no join): {0} / (empty) -> {2}",
                    storage.getPatchContents("*"), storage.getHeadContents("*"), getNextContents()));
        }
    } catch (ClassNotFoundException e) {
        throw new IOException(e);
    }
    putMeta();
}

---

From source file:com.asakusafw.thundergate.runtime.cache.mapreduce.CacheBuildClient.java

License:Apache License

private Job newJob() throws IOException {
    Job job = Job.getInstance(getConf());
    job.setJobName("TGC-CREATE-" + tableName);
    Configuration conf = job.getConfiguration();
    Invalidation.setupInvalidationTimestamp(conf, tableName);
    return job;//ww  w. j  a va2 s .  c o  m
}

---

From source file:com.ask.hive.hbase.HiveHBaseTextTableInputFormat.java

License:Apache License

public RecordReader<Text, Text> getRecordReader(InputSplit split, JobConf jobConf, final Reporter reporter)
        throws IOException {

    HBaseSplit hbaseSplit = (HBaseSplit) split;
    TableSplit tableSplit = hbaseSplit.getSplit();
    String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME);
    setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName)));
    String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING);
    List<String> hbaseColumnFamilies = new ArrayList<String>();
    List<String> hbaseColumnQualifiers = new ArrayList<String>();
    List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>();
    List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>();

    int iKey;//from ww w. j a v  a 2  s.  co  m
    try {
        iKey = parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes,
                hbaseColumnQualifiers, hbaseColumnQualifiersBytes);
    } catch (Exception se) {
        throw new IOException(se);
    }
    List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf);

    if (hbaseColumnFamilies.size() < readColIDs.size()) {
        throw new IOException("Cannot read more columns than the given table contains.");
    }

    boolean addAll = (readColIDs.size() == 0);
    Scan scan = new Scan();
    boolean empty = true;

    if (!addAll) {
        for (int i : readColIDs) {
            if (i == iKey) {
                continue;
            }
            scan.addFamily(hbaseColumnFamiliesBytes.get(i));
            empty = false;
        }
    }

    // The HBase table's row key maps to a Hive table column. In the corner case when only the
    // row key column is selected in Hive, the HBase Scan will be empty i.e. no column family/
    // column qualifier will have been added to the scan. We arbitrarily add at least one column
    // to the HBase scan so that we can retrieve all of the row keys and return them as the Hive
    // tables column projection.
    if (empty) {
        for (int i = 0; i < hbaseColumnFamilies.size(); i++) {
            if (i == iKey) {
                continue;
            }

            if (hbaseColumnQualifiers.get(i) == null) {
                scan.addFamily(hbaseColumnFamiliesBytes.get(i));
            } else {
                scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i));
            }

            if (!addAll) {
                break;
            }
        }
    }

    //setting start and end time for scanning
    setTime(jobConf, scan);
    // If Hive's optimizer gave us a filter to process, convert it to the
    // HBase scan form now.
    tableSplit = convertFilter(jobConf, scan, tableSplit, iKey);

    setScan(scan);

    Job job = new Job(jobConf);
    TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) {

        @Override
        public void progress() {
            reporter.progress();
        }
    };

    final org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable, Result> recordReader = createRecordReader(
            tableSplit, tac);

    return new RecordReader<Text, Text>() {

        //@Override
        public void close() throws IOException {
            recordReader.close();
        }

        // @Override
        public Text createKey() {
            return new Text();
        }

        // @Override
        public Text createValue() {
            return new Text();
        }

        // @Override
        public long getPos() throws IOException {
            return 0;
        }

        // @Override
        public float getProgress() throws IOException {
            float progress = 0.0F;

            try {
                progress = recordReader.getProgress();
            } catch (InterruptedException e) {
                throw new IOException(e);
            }

            return progress;
        }

        // @Override
        public boolean next(Text rowKey, Text value) throws IOException {

            boolean next = false;

            try {
                next = recordReader.nextKeyValue();

                //logic for to find the column name 
                if (next) {
                    rowKey.set(Bytes.toString(recordReader.getCurrentValue().getRow()));
                    StringBuilder val = new StringBuilder();
                    String prev = "";
                    for (KeyValue kv : recordReader.getCurrentValue().raw()) {
                        String current = new String(kv.getQualifier());
                        char[] col = new String(current).toCharArray();
                        if (val.length() > 0) {
                            if (prev.equals(current))
                                val.append(",");
                            else
                                val.append("\t");
                        }
                        prev = current;
                        val.append(col[0]).append("_");
                        val.append(Bytes.toString(kv.getValue()));
                    }
                    value.set(val.toString()); // rowKey.set(Bytes.toString(recordReader.getCurrentValue().getRow()));;
                    // value.set(Bytes.toString(recordReader.getCurrentValue().value()));
                }
            } catch (InterruptedException e) {
                throw new IOException(e);
            }

            return next;
        }
    };
}

---

From source file:com.ask.hive.hbase.HiveHBaseTextTableInputFormat.java

License:Apache License

public InputSplit[] getSplits(JobConf jobConf, int numSplits) throws IOException {

    String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME);
    setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName)));
    String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING);

    if (hbaseColumnsMapping == null) {
        throw new IOException("hbase.columns.mapping required for HBase Table.");
    }//from  w w w . j  ava 2s .  co m

    List<String> hbaseColumnFamilies = new ArrayList<String>();
    List<String> hbaseColumnQualifiers = new ArrayList<String>();
    List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>();
    List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>();

    int iKey;
    try {
        iKey = HBaseSerDe.parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes,
                hbaseColumnQualifiers, hbaseColumnQualifiersBytes);
    } catch (SerDeException se) {
        throw new IOException(se);
    }

    Scan scan = new Scan();

    // Take filter pushdown into account while calculating splits; this
    // allows us to prune off regions immediately.  Note that although
    // the Javadoc for the superclass getSplits says that it returns one
    // split per region, the implementation actually takes the scan
    // definition into account and excludes regions which don't satisfy
    // the start/stop row conditions (HBASE-1829).
    convertFilter(jobConf, scan, null, iKey);

    // REVIEW:  are we supposed to be applying the getReadColumnIDs
    // same as in getRecordReader?
    for (int i = 0; i < hbaseColumnFamilies.size(); i++) {
        if (i == iKey) {
            continue;
        }

        if (hbaseColumnQualifiers.get(i) == null) {
            scan.addFamily(hbaseColumnFamiliesBytes.get(i));
        } else {
            scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i));
        }
    }

    setScan(scan);
    Job job = new Job(jobConf);
    JobContext jobContext = new JobContext(job.getConfiguration(), job.getJobID());
    Path[] tablePaths = FileInputFormat.getInputPaths(jobContext);

    List<org.apache.hadoop.mapreduce.InputSplit> splits = super.getSplits(jobContext);
    InputSplit[] results = new InputSplit[splits.size()];

    for (int i = 0; i < splits.size(); i++) {
        results[i] = new HBaseSplit((TableSplit) splits.get(i), tablePaths[0]);
    }

    return results;
}

---

From source file:com.ask.hive.hbase.HiveHBaseTimeTableInputFormat.java

License:Apache License

public RecordReader<ImmutableBytesWritable, Result> getRecordReader(InputSplit split, JobConf jobConf,
        final Reporter reporter) throws IOException {

    HBaseSplit hbaseSplit = (HBaseSplit) split;
    TableSplit tableSplit = hbaseSplit.getSplit();
    String hbaseTableName = jobConf.get(HBaseSerDe.HBASE_TABLE_NAME);
    setHTable(new HTable(new HBaseConfiguration(jobConf), Bytes.toBytes(hbaseTableName)));
    String hbaseColumnsMapping = jobConf.get(HBaseSerDe.HBASE_COLUMNS_MAPPING);
    List<String> hbaseColumnFamilies = new ArrayList<String>();
    List<String> hbaseColumnQualifiers = new ArrayList<String>();
    List<byte[]> hbaseColumnFamiliesBytes = new ArrayList<byte[]>();
    List<byte[]> hbaseColumnQualifiersBytes = new ArrayList<byte[]>();

    int iKey;/*from w ww  .ja  va2s  .c  o  m*/
    try {
        iKey = HBaseSerDe.parseColumnMapping(hbaseColumnsMapping, hbaseColumnFamilies, hbaseColumnFamiliesBytes,
                hbaseColumnQualifiers, hbaseColumnQualifiersBytes);
    } catch (SerDeException se) {
        throw new IOException(se);
    }
    List<Integer> readColIDs = ColumnProjectionUtils.getReadColumnIDs(jobConf);

    if (hbaseColumnFamilies.size() < readColIDs.size()) {
        throw new IOException("Cannot read more columns than the given table contains.");
    }

    boolean addAll = (readColIDs.size() == 0);
    Scan scan = new Scan();
    boolean empty = true;

    if (!addAll) {
        for (int i : readColIDs) {
            if (i == iKey) {
                continue;
            }

            if (hbaseColumnQualifiers.get(i) == null) {
                scan.addFamily(hbaseColumnFamiliesBytes.get(i));
            } else {
                scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i));
            }

            empty = false;
        }
    }

    // The HBase table's row key maps to a Hive table column. In the corner case when only the
    // row key column is selected in Hive, the HBase Scan will be empty i.e. no column family/
    // column qualifier will have been added to the scan. We arbitrarily add at least one column
    // to the HBase scan so that we can retrieve all of the row keys and return them as the Hive
    // tables column projection.
    if (empty) {
        for (int i = 0; i < hbaseColumnFamilies.size(); i++) {
            if (i == iKey) {
                continue;
            }

            if (hbaseColumnQualifiers.get(i) == null) {
                scan.addFamily(hbaseColumnFamiliesBytes.get(i));
            } else {
                scan.addColumn(hbaseColumnFamiliesBytes.get(i), hbaseColumnQualifiersBytes.get(i));
            }

            if (!addAll) {
                break;
            }
        }
    }

    //setting start and end time for scanning
    setTime(jobConf, scan);
    // If Hive's optimizer gave us a filter to process, convert it to the
    // HBase scan form now.
    tableSplit = convertFilter(jobConf, scan, tableSplit, iKey);

    setScan(scan);

    Job job = new Job(jobConf);
    TaskAttemptContext tac = new TaskAttemptContext(job.getConfiguration(), new TaskAttemptID()) {

        @Override
        public void progress() {
            reporter.progress();
        }
    };

    final org.apache.hadoop.mapreduce.RecordReader<ImmutableBytesWritable, Result> recordReader = createRecordReader(
            tableSplit, tac);

    return new RecordReader<ImmutableBytesWritable, Result>() {

        //@Override
        public void close() throws IOException {
            recordReader.close();
        }

        // @Override
        public ImmutableBytesWritable createKey() {
            return new ImmutableBytesWritable();
        }

        // @Override
        public Result createValue() {
            return new Result();
        }

        // @Override
        public long getPos() throws IOException {
            return 0;
        }

        // @Override
        public float getProgress() throws IOException {
            float progress = 0.0F;

            try {
                progress = recordReader.getProgress();
            } catch (InterruptedException e) {
                throw new IOException(e);
            }

            return progress;
        }

        // @Override
        public boolean next(ImmutableBytesWritable rowKey, Result value) throws IOException {

            boolean next = false;

            try {
                next = recordReader.nextKeyValue();

                if (next) {
                    rowKey.set(recordReader.getCurrentValue().getRow());
                    Writables.copyWritable(recordReader.getCurrentValue(), value);
                }
            } catch (InterruptedException e) {
                throw new IOException(e);
            }

            return next;
        }
    };
}

---

From source file:com.asp.tranlog.ImportTsv.java

License:Apache License

/**
 * Sets up the actual job./*from   w  w w  . ja  v a2s  .  co m*/
 * 
 * @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, ClassNotFoundException {

    // Support non-XML supported characters
    // by re-encoding the passed separator as a Base64 string.
    String actualSeparator = conf.get(SEPARATOR_CONF_KEY);
    if (actualSeparator != null) {
        conf.set(SEPARATOR_CONF_KEY, new String(Base64.encodeBytes(actualSeparator.getBytes())));
    }

    // See if a non-default Mapper was set
    String mapperClassName = conf.get(MAPPER_CONF_KEY);
    Class mapperClass = mapperClassName != null ? Class.forName(mapperClassName) : DEFAULT_MAPPER;

    String tableName = args[0];
    Path inputDir = new Path(args[1]);
    Job job = new Job(conf, NAME + "_" + tableName);
    job.setJarByClass(mapperClass);
    FileInputFormat.setInputPaths(job, inputDir);

    String inputCodec = conf.get(INPUT_LZO_KEY);
    if (inputCodec == null) {
        FileInputFormat.setMaxInputSplitSize(job, 67108864l); // max split
        // size =
        // 64m
        job.setInputFormatClass(TextInputFormat.class);
    } else {
        if (inputCodec.equalsIgnoreCase("lzo"))
            job.setInputFormatClass(LzoTextInputFormat.class);
        else {
            usage("not supported compression codec!");
            System.exit(-1);
        }
    }

    job.setMapperClass(mapperClass);

    String hfileOutPath = conf.get(BULK_OUTPUT_CONF_KEY);
    if (hfileOutPath != null) {
        HTable table = new HTable(conf, tableName);
        job.setReducerClass(PutSortReducer.class);
        Path outputDir = new Path(hfileOutPath);
        FileOutputFormat.setOutputPath(job, outputDir);
        job.setMapOutputKeyClass(ImmutableBytesWritable.class);
        job.setMapOutputValueClass(Put.class);
        HFileOutputFormat.configureIncrementalLoad(job, table);
    } else {
        // No reducers. Just write straight to table. Call
        // initTableReducerJob
        // to set up the TableOutputFormat.
        TableMapReduceUtil.initTableReducerJob(tableName, null, job);
        job.setNumReduceTasks(0);
    }

    TableMapReduceUtil.addDependencyJars(job);
    TableMapReduceUtil.addDependencyJars(job.getConfiguration(), com.google.common.base.Function.class /*
                                                                                                       * Guava used by TsvParser
                                                                                                       */);
    return job;
}

---

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