Example usage for org.apache.hadoop.mapreduce.lib.output FileOutputFormat setOutputPath

List of usage examples for org.apache.hadoop.mapreduce.lib.output FileOutputFormat setOutputPath

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Introduction

In this page you can find the example usage for org.apache.hadoop.mapreduce.lib.output FileOutputFormat setOutputPath.

Prototype

public static void setOutputPath(Job job, Path outputDir)

Source Link

Document

Set the Path of the output directory for the map-reduce job.

Usage

From source file:com.lightboxtechnologies.spectrum.PythonJob.java

License:Apache License

public static int run(String imageID, String friendlyName, String outpath, String pymap, String pyred,
        String format, Configuration conf) throws Exception {
    if (conf == null) {
        conf = HBaseConfiguration.create();
    }//from  w  ww .j a  va 2 s .  c  o m
    final Job job = SKJobFactory.createJobFromConf(imageID, friendlyName, "PythonJob", conf);
    job.setJarByClass(PythonJob.class);

    job.setMapperClass(PythonMapper.class);
    PyEngine py = new PyEngine();
    configPyTask(job, py, "map", pymap);
    job.setMapOutputKeyClass(py.getKeyClass());
    job.setMapOutputValueClass(py.getValueClass());

    int numReduces = 1;
    job.setOutputKeyClass(py.getKeyClass());
    job.setOutputValueClass(py.getValueClass());
    if (pyred.equals("none")) {
        numReduces = 0;
    } else if (pyred.equals("identity")) {
        job.setReducerClass(Reducer.class);
        job.setOutputKeyClass(py.getKeyClass());
        job.setOutputValueClass(py.getValueClass());
    } else if (pyred.equals("LongSumReducer")) {
        job.setReducerClass(LongSumReducer.class);
        job.setCombinerClass(LongSumReducer.class);
    } else {
        job.setReducerClass(PythonReducer.class);
        configPyTask(job, py, "reduce", pyred);
        job.setOutputKeyClass(py.getKeyClass());
        job.setOutputValueClass(py.getValueClass());
    }
    job.setNumReduceTasks(numReduces);

    // it is possible to run over a flat json file...
    // String input = otherArgs[0];
    // if (input.endsWith(".json") == true) {
    //   job.setInputFormatClass(FsEntryJsonInputFormat.class);
    //   FsEntryJsonInputFormat.addInputPath(job, new Path(input));
    // }
    // else {

    FsEntryHBaseInputFormat.setupJob(job, imageID);
    job.setInputFormatClass(FsEntryHBaseInputFormat.class);

    if (format != null && format.equals("SequenceFileOutputFormat")) {
        job.setOutputFormatClass(SequenceFileOutputFormat.class);
        SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK);
    } else {
        job.setOutputFormatClass(TextOutputFormat.class);
    }
    FileOutputFormat.setOutputPath(job, new Path(outpath));
    return job.waitForCompletion(true) ? 0 : 1;
}

From source file:com.lightboxtechnologies.spectrum.SequenceFileExport.java

License:Apache License

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

    final String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();

    String imageID;//from  w w  w.  ja va 2  s.  co  m
    String outpath;
    String friendlyname;
    final Set<String> exts = new HashSet<String>();

    if ("-f".equals(otherArgs[0])) {
        if (otherArgs.length != 4) {
            die();
        }

        // load extensions from file
        final Path extpath = new Path(otherArgs[1]);

        InputStream in = null;
        try {
            in = extpath.getFileSystem(conf).open(extpath);

            Reader r = null;
            try {
                r = new InputStreamReader(in);

                BufferedReader br = null;
                try {
                    br = new BufferedReader(r);

                    String line;
                    while ((line = br.readLine()) != null) {
                        exts.add(line.trim().toLowerCase());
                    }

                    br.close();
                } finally {
                    IOUtils.closeQuietly(br);
                }

                r.close();
            } finally {
                IOUtils.closeQuietly(r);
            }

            in.close();
        } finally {
            IOUtils.closeQuietly(in);
        }

        imageID = otherArgs[2];
        friendlyname = otherArgs[3];
        outpath = otherArgs[4];
    } else {
        if (otherArgs.length < 3) {
            die();
        }

        // read extensions from trailing args
        imageID = otherArgs[0];
        friendlyname = otherArgs[1];
        outpath = otherArgs[2];

        // lowercase all file extensions
        for (int i = 2; i < otherArgs.length; ++i) {
            exts.add(otherArgs[i].toLowerCase());
        }
    }

    conf.setStrings("extensions", exts.toArray(new String[exts.size()]));

    final Job job = SKJobFactory.createJobFromConf(imageID, friendlyname, "SequenceFileExport", conf);
    job.setJarByClass(SequenceFileExport.class);
    job.setMapperClass(SequenceFileExportMapper.class);
    job.setNumReduceTasks(0);

    job.setOutputKeyClass(BytesWritable.class);
    job.setOutputValueClass(MapWritable.class);

    job.setInputFormatClass(FsEntryHBaseInputFormat.class);
    FsEntryHBaseInputFormat.setupJob(job, imageID);

    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    SequenceFileOutputFormat.setOutputCompressionType(job, SequenceFile.CompressionType.BLOCK);

    FileOutputFormat.setOutputPath(job, new Path(outpath));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
}

From source file:com.linkedin.cubert.pig.piggybank.storage.avro.AvroStorage.java

License:Apache License

@Override
public void setStoreLocation(String location, Job job) throws IOException {
    AvroStorageLog.details("output location=" + location);
    FileOutputFormat.setOutputPath(job, new Path(location));
}

From source file:com.linkedin.cubert.plan.physical.DictionaryExecutor.java

License:Open Source License

@Override
protected void setOutput() throws JsonGenerationException, JsonMappingException, IOException {
    JsonNode output = get(root, "output");

    // set the output path
    outputDir = new Path(getText(output, "path"));
    Path outputPath = new Path(outputDir, "tmp");

    fs.delete(outputPath, true);/*from w  w w.j a  v a 2s .c  om*/
    FileOutputFormat.setOutputPath(job, outputPath);

    // set the column type
    List<ColumnType> columnTypes = new ArrayList<ColumnType>();

    for (JsonNode column : asArray(output, "columns")) {
        ColumnType type = new ColumnType();
        type.setName(column.getTextValue());
        type.setType("int");
        columnTypes.add(type);
    }

    // set avro job properties
    AvroJob.setOutputKeySchema(job, GenerateDictionary.getSchema());
    AvroJob.setOutputValueSchema(job, Schema.create(Type.NULL));
    job.setOutputFormatClass(AvroKeyOutputFormat.class);
}

From source file:com.linkedin.cubert.plan.physical.JobExecutor.java

License:Open Source License

protected void setOutput() throws IOException {
    JsonNode output = get(root, "output");
    JsonNode params = output.get("params");
    if (params == null)
        params = mapper.createObjectNode();

    Path outputPath = new Path(getText(output, "path"));
    FileOutputFormat.setOutputPath(job, outputPath);

    if (params.has("overwrite") && Boolean.parseBoolean(getText(params, "overwrite"))) {
        fs.delete(outputPath, true);// www  . jav  a  2 s  . com
    }

    BlockSchema schema = new BlockSchema(output.get("schema"));

    Storage storage = StorageFactory.get(getText(output, "type"));
    storage.prepareOutput(job, conf, params, schema, outputPath);
}

From source file:com.linkedin.hadoop.example.WordCountCounters.java

License:Apache License

/**
 * Azkaban will look for a method named `run` to start your job. Use this method to setup all the
 * Hadoop-related configuration for your job and submit it.
 *
 * @throws Exception If there is an exception during the configuration or submission of your job
 *//*from ww w .  j  a  v  a2  s . com*/
public void run() throws Exception {
    _logger.info(String.format("Configuring job for the class %s", getClass().getSimpleName()));

    Job job = Job.getInstance(getConf());
    job.setJarByClass(WordCountJob.class);
    job.setJobName(_name);

    job.setMapperClass(WordCountMapper.class);
    job.setCombinerClass(WordCountCombiner.class);
    job.setReducerClass(WordCountReducer.class);

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

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

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

    String inputPath = _properties.getProperty("input.path");
    String outputPath = _properties.getProperty("output.path");
    boolean forceOverwrite = Boolean.parseBoolean(_properties.getProperty("force.output.overwrite", "false"));

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

    // Before we submit the job, remove the old the output directory
    if (forceOverwrite) {
        FileSystem fs = FileSystem.get(job.getConfiguration());
        fs.delete(FileOutputFormat.getOutputPath(job), true);
    }

    // Since we have Kerberos enabled at LinkedIn, we must add the token to our configuration. If
    // you don't use Kerberos security for your Hadoop cluster, you don't need this code.
    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        job.getConfiguration().set("mapreduce.job.credentials.binary",
                System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

    // Submit the job for execution
    _logger.info(String.format("About to submit the job named %s", _name));
    boolean succeeded = job.waitForCompletion(true);

    // Before we return, display our custom counters for the job in the Azkaban logs
    long inputWords = job.getCounters().findCounter(WordCountCounters.INPUT_WORDS).getValue();
    _logger.info(String.format("Read a total of %d input words", inputWords));

    // Azkaban will not realize the Hadoop job failed unless you specifically throw an exception
    if (!succeeded) {
        throw new Exception(String.format("Azkaban job %s failed", _name));
    }
}

From source file:com.linkedin.mr_kluj.StagedOutputJob.java

License:Apache License

@Override
public boolean waitForCompletion(boolean verbose)
        throws IOException, InterruptedException, ClassNotFoundException {
    final Path actualOutputPath = FileOutputFormat.getOutputPath(this);
    final Path stagedPath = new Path(String.format("%s/%s/staged", stagingPrefix, System.currentTimeMillis()));

    FileOutputFormat.setOutputPath(this, stagedPath);

    final Thread hook = new Thread(new Runnable() {
        public void run() {
            try {
                killJob();/*from  w  ww.j  a v  a 2 s.c  o m*/
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    });

    Runtime.getRuntime().addShutdownHook(hook);

    final boolean retVal = super.waitForCompletion(verbose);

    Runtime.getRuntime().removeShutdownHook(hook);

    if (retVal) {
        FileSystem fs = actualOutputPath.getFileSystem(getConfiguration());

        fs.mkdirs(actualOutputPath);

        if (getConfiguration().getBoolean("com.linkedin.mr_kluj.delete.output.path", true)) {
            log.info(String.format("Deleting data at old path[%s]", actualOutputPath));
            fs.delete(actualOutputPath, true);
        }

        for (FileStatus fileStatus : FSUtils.spiderPath(fs, stagedPath)) {
            Path thisStagedPath = fileStatus.getPath();
            Path thisActualOutputPath = new Path(fileStatus.getPath().toString().replace(stagedPath.toString(),
                    actualOutputPath.toString()));

            log.info(String.format("Moving from staged path[%s] to final resting place[%s]", thisStagedPath,
                    thisActualOutputPath));
            fs.mkdirs(thisActualOutputPath.getParent());
            if (!fs.rename(thisStagedPath, thisActualOutputPath)) {
                log.info("Rename failed!");
                return false;
            }
        }

        return true;
    }

    log.warn("retVal was false for some reason...");
    return retVal;
}

From source file:com.linkedin.oneclick.wordcount.WordCount.java

License:Apache License

public int run(String[] args) throws Exception {
    Configuration conf = getConf();

    Job job = new Job(conf, "Word Count");
    job.setJarByClass(WordCount.class);

    String workDirectory = args.length >= 1 ? args[0] : "wordcount";
    Path input = new Path(workDirectory, "input.txt");
    FileSystem fs = input.getFileSystem(conf);
    fs.mkdirs(input.getParent());/*from   ww  w .  j  a  v  a 2 s . c om*/
    copy(resourceInputStream(getClass().getResource("/onegin.txt")), createOutputStream(conf, input), conf);
    job.setInputFormatClass(TextInputFormat.class);
    job.setMapperClass(WordCountMapper.class);
    FileInputFormat.addInputPath(job, input);

    job.setCombinerClass(WordCountReducer.class);
    job.setReducerClass(WordCountReducer.class);

    job.setOutputFormatClass(TextOutputFormat.class);
    Path output = clean(conf, new Path(workDirectory, "wordcount"));
    FileOutputFormat.setOutputPath(job, output);

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

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

From source file:com.linkedin.pinot.hadoop.job.SegmentCreationJob.java

License:Apache License

public void run() throws Exception {
    LOGGER.info("Starting {}", getClass().getSimpleName());

    FileSystem fs = FileSystem.get(getConf());
    Path inputPathPattern = new Path(_inputSegmentDir);

    if (fs.exists(new Path(_stagingDir))) {
        LOGGER.warn("Found the temp folder, deleting it");
        fs.delete(new Path(_stagingDir), true);
    }//w w  w  .j  a v a 2  s .co  m
    fs.mkdirs(new Path(_stagingDir));
    fs.mkdirs(new Path(_stagingDir + "/input/"));

    if (fs.exists(new Path(_outputDir))) {
        LOGGER.warn("Found the output folder, deleting it");
        fs.delete(new Path(_outputDir), true);
    }
    fs.mkdirs(new Path(_outputDir));

    List<FileStatus> inputDataFiles = new ArrayList<FileStatus>();
    FileStatus[] fileStatusArr = fs.globStatus(inputPathPattern);
    for (FileStatus fileStatus : fileStatusArr) {
        inputDataFiles.addAll(getDataFilesFromPath(fs, fileStatus.getPath()));
    }

    for (int seqId = 0; seqId < inputDataFiles.size(); ++seqId) {
        FileStatus file = inputDataFiles.get(seqId);
        String completeFilePath = " " + file.getPath().toString() + " " + seqId;
        Path newOutPutFile = new Path((_stagingDir + "/input/"
                + file.getPath().toString().replace('.', '_').replace('/', '_').replace(':', '_') + ".txt"));
        FSDataOutputStream stream = fs.create(newOutPutFile);
        stream.writeUTF(completeFilePath);
        stream.flush();
        stream.close();
    }

    Job job = Job.getInstance(getConf());

    job.setJarByClass(SegmentCreationJob.class);
    job.setJobName(_jobName);

    job.setMapperClass(HadoopSegmentCreationMapper.class);

    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        job.getConfiguration().set("mapreduce.job.credentials.binary",
                System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

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

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

    FileInputFormat.addInputPath(job, new Path(_stagingDir + "/input/"));
    FileOutputFormat.setOutputPath(job, new Path(_stagingDir + "/output/"));

    job.getConfiguration().setInt(JobContext.NUM_MAPS, inputDataFiles.size());
    job.getConfiguration().set("data.schema", new ObjectMapper().writeValueAsString(_dataSchema));

    job.setMaxReduceAttempts(1);
    job.setMaxMapAttempts(0);
    job.setNumReduceTasks(0);
    for (Object key : _properties.keySet()) {
        job.getConfiguration().set(key.toString(), _properties.getProperty(key.toString()));
    }

    if (_depsJarPath != null && _depsJarPath.length() > 0) {
        addDepsJarToDistributedCache(new Path(_depsJarPath), job);
    }

    // Submit the job for execution.
    job.waitForCompletion(true);
    if (!job.isSuccessful()) {
        throw new RuntimeException("Job failed : " + job);
    }

    LOGGER.info("Moving Segment Tar files from {} to: {}", _stagingDir + "/output/segmentTar", _outputDir);
    FileStatus[] segmentArr = fs.listStatus(new Path(_stagingDir + "/output/segmentTar"));
    for (FileStatus segment : segmentArr) {
        fs.rename(segment.getPath(), new Path(_outputDir, segment.getPath().getName()));
    }

    // Delete temporary directory.
    LOGGER.info("Cleanup the working directory.");
    LOGGER.info("Deleting the dir: {}", _stagingDir);
    fs.delete(new Path(_stagingDir), true);
}

From source file:com.linkedin.thirdeye.bootstrap.segment.create.SegmentCreationPhaseJob.java

License:Apache License

public Job run() throws Exception {

    Job job = Job.getInstance(getConf());

    job.setJarByClass(SegmentCreationPhaseJob.class);
    job.setJobName(name);//from   w  w w .j av  a 2  s.c o m

    FileSystem fs = FileSystem.get(getConf());

    Configuration configuration = job.getConfiguration();

    String schemaPath = getAndSetConfiguration(configuration, SEGMENT_CREATION_SCHEMA_PATH);
    LOGGER.info("Schema path : {}", schemaPath);
    String configPath = getAndSetConfiguration(configuration, SEGMENT_CREATION_CONFIG_PATH);
    LOGGER.info("Config path : {}", configPath);
    Schema dataSchema = createSchema(configPath);
    LOGGER.info("Data schema : {}", dataSchema);
    String inputSegmentDir = getAndSetConfiguration(configuration, SEGMENT_CREATION_INPUT_PATH);
    LOGGER.info("Input path : {}", inputSegmentDir);
    String outputDir = getAndSetConfiguration(configuration, SEGMENT_CREATION_OUTPUT_PATH);
    LOGGER.info("Output path : {}", outputDir);
    String stagingDir = new File(outputDir, TEMP).getAbsolutePath();
    LOGGER.info("Staging dir : {}", stagingDir);
    String tableName = getAndSetConfiguration(configuration, SEGMENT_CREATION_SEGMENT_TABLE_NAME);
    LOGGER.info("Segment table name : {}", tableName);

    // Create temporary directory
    if (fs.exists(new Path(stagingDir))) {
        LOGGER.warn("Found the temp folder, deleting it");
        fs.delete(new Path(stagingDir), true);
    }
    fs.mkdirs(new Path(stagingDir));
    fs.mkdirs(new Path(stagingDir + "/input/"));

    if (fs.exists(new Path(outputDir))) {
        LOGGER.warn("Found the output folder deleting it");
        fs.delete(new Path(outputDir), true);
    }
    fs.mkdirs(new Path(outputDir));

    Path inputPathPattern = new Path(inputSegmentDir);
    List<FileStatus> inputDataFiles = Arrays.asList(fs.listStatus(inputPathPattern));
    LOGGER.info("size {}", inputDataFiles.size());

    try {
        for (int seqId = 0; seqId < inputDataFiles.size(); ++seqId) {
            FileStatus file = inputDataFiles.get(seqId);
            String completeFilePath = " " + file.getPath().toString() + " " + seqId;
            Path newOutPutFile = new Path((stagingDir + "/input/"
                    + file.getPath().toString().replace('.', '_').replace('/', '_').replace(':', '_')
                    + ".txt"));
            FSDataOutputStream stream = fs.create(newOutPutFile);
            LOGGER.info("wrote {}", completeFilePath);
            stream.writeUTF(completeFilePath);
            stream.flush();
            stream.close();
        }
    } catch (Exception e) {
        LOGGER.error("Exception while reading input files ", e);
    }

    job.setMapperClass(SegmentCreationPhaseMapReduceJob.SegmentCreationMapper.class);

    if (System.getenv("HADOOP_TOKEN_FILE_LOCATION") != null) {
        job.getConfiguration().set("mapreduce.job.credentials.binary",
                System.getenv("HADOOP_TOKEN_FILE_LOCATION"));
    }

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

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

    FileInputFormat.addInputPath(job, new Path(stagingDir + "/input/"));
    FileOutputFormat.setOutputPath(job, new Path(stagingDir + "/output/"));

    job.getConfiguration().setInt(JobContext.NUM_MAPS, inputDataFiles.size());
    job.getConfiguration().set("data.schema", OBJECT_MAPPER.writeValueAsString(dataSchema));
    if (!fs.exists(new Path(schemaPath))) {
        OBJECT_MAPPER.writerWithDefaultPrettyPrinter().writeValue(fs.create(new Path(schemaPath), false),
                dataSchema);
    }

    job.setMaxReduceAttempts(1);
    job.setMaxMapAttempts(0);
    job.setNumReduceTasks(0);
    for (Object key : props.keySet()) {
        job.getConfiguration().set(key.toString(), props.getProperty(key.toString()));
    }

    job.waitForCompletion(true);
    if (!job.isSuccessful()) {
        throw new RuntimeException("Job failed : " + job);
    }

    LOGGER.info("Moving Segment Tar files from {} to: {}", stagingDir + "/output/segmentTar", outputDir);
    FileStatus[] segmentArr = fs.listStatus(new Path(stagingDir + "/output/segmentTar"));
    for (FileStatus segment : segmentArr) {
        fs.rename(segment.getPath(), new Path(outputDir, segment.getPath().getName()));
    }

    // Delete temporary directory.
    LOGGER.info("Cleanup the working directory.");
    LOGGER.info("Deleting the dir: {}", stagingDir);
    fs.delete(new Path(stagingDir), true);

    return job;
}