Example usage for org.apache.hadoop.fs FileSystem listStatus

List of usage examples for org.apache.hadoop.fs FileSystem listStatus

Introduction

In this page you can find the example usage for org.apache.hadoop.fs FileSystem listStatus.

Prototype

public FileStatus[] listStatus(Path[] files) throws FileNotFoundException, IOException 

Source Link

Document

Filter files/directories in the given list of paths using default path filter.

Usage

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);
    }/*  ww  w  .  j  av  a  2s  .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.pinot.hadoop.job.SegmentCreationJob.java

License:Apache License

private void addDepsJarToDistributedCache(Path path, Job job) throws IOException {
    LOGGER.info("Trying to add all the deps jar files from directory: {}", path);
    FileSystem fs = FileSystem.get(getConf());
    FileStatus[] fileStatusArr = fs.listStatus(path);
    for (FileStatus fileStatus : fileStatusArr) {
        if (fileStatus.isDirectory()) {
            addDepsJarToDistributedCache(fileStatus.getPath(), job);
        } else {/*from  w w w. j  a va2 s.c o  m*/
            Path depJarPath = fileStatus.getPath();
            if (depJarPath.getName().endsWith(".jar")) {
                LOGGER.info("Adding deps jar files: {}", path);
                job.addCacheArchive(path.toUri());
            }
        }
    }
}

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

License:Apache License

private ArrayList<FileStatus> getDataFilesFromPath(FileSystem fs, Path inBaseDir) throws IOException {
    ArrayList<FileStatus> dataFileStatusList = new ArrayList<FileStatus>();
    FileStatus[] fileStatusArr = fs.listStatus(inBaseDir);
    for (FileStatus fileStatus : fileStatusArr) {
        if (fileStatus.isDirectory()) {
            LOGGER.info("Trying to add all the data files from directory: {}", fileStatus.getPath());
            dataFileStatusList.addAll(getDataFilesFromPath(fs, fileStatus.getPath()));
        } else {/* w ww.  j  a  v a  2 s. c o m*/
            String fileName = fileStatus.getPath().getName();
            if (fileName.endsWith(".avro")) {
                LOGGER.info("Adding avro files: {}", fileStatus.getPath());
                dataFileStatusList.add(fileStatus);
            }
            if (fileName.endsWith(".csv")) {
                LOGGER.info("Adding csv files: {}", fileStatus.getPath());
                dataFileStatusList.add(fileStatus);
            }
            if (fileName.endsWith(".json")) {
                LOGGER.info("Adding json files: {}", fileStatus.getPath());
                dataFileStatusList.add(fileStatus);
            }
        }
    }
    return dataFileStatusList;
}

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

License:Apache License

public void pushDir(FileSystem fs, Path path) throws Exception {
    LOGGER.info("******** Now uploading segments tar from dir: {}", path);
    FileStatus[] fileStatusArr = fs.listStatus(new Path(path.toString() + "/"));
    for (FileStatus fileStatus : fileStatusArr) {
        if (fileStatus.isDirectory()) {
            pushDir(fs, fileStatus.getPath());
        } else {//from  w w w.  jav a 2  s  . c om
            pushOneTarFile(fs, fileStatus.getPath());
        }
    }
}

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);/*w  w  w .j  a  va  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;
}

From source file:com.linkedin.thirdeye.hadoop.backfill.BackfillPhaseJob.java

License:Apache License

public Job run() throws Exception {

    Job job = Job.getInstance(getConf());
    job.setJarByClass(BackfillPhaseJob.class);
    job.setJobName(name);//from ww w. ja v  a 2s  .  c o m

    FileSystem fs = FileSystem.get(getConf());
    Configuration configuration = job.getConfiguration();

    LOGGER.info("*******************************************************************************");
    String controllerHost = getAndSetConfiguration(configuration, BACKFILL_PHASE_CONTROLLER_HOST);
    String controllerPort = getAndSetConfiguration(configuration, BACKFILL_PHASE_CONTROLLER_PORT);
    LOGGER.info("Controller Host : {} Controller Port : {}", controllerHost, controllerPort);
    String segmentStartTime = getAndSetConfiguration(configuration, BACKFILL_PHASE_START_TIME);
    String segmentEndTime = getAndSetConfiguration(configuration, BACKFILL_PHASE_END_TIME);
    long startTime = Long.valueOf(segmentStartTime);
    long endTime = Long.valueOf(segmentEndTime);
    if (Long.valueOf(segmentStartTime) > Long.valueOf(segmentEndTime)) {
        throw new IllegalStateException("Start time cannot be greater than end time");
    }
    String tableName = getAndSetConfiguration(configuration, BACKFILL_PHASE_TABLE_NAME);
    LOGGER.info("Start time : {} End time : {} Table name : {}", segmentStartTime, segmentEndTime, tableName);

    String outputPath = getAndSetConfiguration(configuration, BACKFILL_PHASE_OUTPUT_PATH);
    LOGGER.info("Output path : {}", outputPath);
    Path backfillDir = new Path(outputPath);
    if (fs.exists(backfillDir)) {
        LOGGER.warn("Found the output folder deleting it");
        fs.delete(backfillDir, true);
    }
    Path downloadDir = new Path(backfillDir, DOWNLOAD);
    LOGGER.info("Creating download dir : {}", downloadDir);
    fs.mkdirs(downloadDir);
    Path inputDir = new Path(backfillDir, INPUT);
    LOGGER.info("Creating input dir : {}", inputDir);
    fs.mkdirs(inputDir);
    Path outputDir = new Path(backfillDir, OUTPUT);
    LOGGER.info("Creating output dir : {}", outputDir);

    BackfillControllerAPIs backfillControllerAPIs = new BackfillControllerAPIs(controllerHost,
            Integer.valueOf(controllerPort), tableName);

    LOGGER.info("Downloading segments in range {} to {}", startTime, endTime);
    List<String> allSegments = backfillControllerAPIs.getAllSegments(tableName);
    List<String> segmentsToDownload = backfillControllerAPIs.findSegmentsInRange(tableName, allSegments,
            startTime, endTime);
    for (String segmentName : segmentsToDownload) {
        backfillControllerAPIs.downloadSegment(segmentName, downloadDir);
    }

    LOGGER.info("Reading downloaded segment input files");
    List<FileStatus> inputDataFiles = new ArrayList<>();
    inputDataFiles.addAll(Lists.newArrayList(fs.listStatus(downloadDir)));
    LOGGER.info("size {}", inputDataFiles.size());

    try {
        LOGGER.info("Creating input files at {} for segment input files", inputDir);
        for (int seqId = 0; seqId < inputDataFiles.size(); ++seqId) {
            FileStatus file = inputDataFiles.get(seqId);
            String completeFilePath = " " + file.getPath().toString() + " " + seqId;
            Path newOutPutFile = new Path((inputDir + "/"
                    + 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(BackfillPhaseMapJob.BackfillMapper.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, inputDir);
    FileOutputFormat.setOutputPath(job, outputDir);

    job.getConfiguration().setInt(JobContext.NUM_MAPS, inputDataFiles.size());
    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("Cleanup the working directory");
    LOGGER.info("Deleting the dir: {}", downloadDir);
    fs.delete(downloadDir, true);
    LOGGER.info("Deleting the dir: {}", inputDir);
    fs.delete(inputDir, true);
    LOGGER.info("Deleting the dir: {}", outputDir);
    fs.delete(outputDir, true);

    return job;
}

From source file:com.linkedin.thirdeye.hadoop.segment.creation.SegmentCreationPhaseJob.java

License:Apache License

public Job run() throws Exception {

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

    job.setJarByClass(SegmentCreationPhaseJob.class);
    job.setJobName(name);/* w  w  w . j  a  va 2  s .com*/

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

    Configuration configuration = job.getConfiguration();

    String inputSegmentDir = getAndSetConfiguration(configuration, SEGMENT_CREATION_INPUT_PATH);
    LOGGER.info("Input path : {}", inputSegmentDir);
    Schema avroSchema = ThirdeyeAvroUtils.getSchema(inputSegmentDir);
    LOGGER.info("Schema : {}", avroSchema);
    String metricTypesProperty = ThirdeyeAvroUtils.getMetricTypesProperty(
            props.getProperty(ThirdEyeConfigProperties.THIRDEYE_METRIC_NAMES.toString()),
            props.getProperty(ThirdEyeConfigProperties.THIRDEYE_METRIC_TYPES.toString()), avroSchema);
    props.setProperty(ThirdEyeConfigProperties.THIRDEYE_METRIC_TYPES.toString(), metricTypesProperty);
    ThirdEyeConfig thirdeyeConfig = ThirdEyeConfig.fromProperties(props);
    LOGGER.info("ThirdEyeConfig {}", thirdeyeConfig.encode());
    String outputDir = getAndSetConfiguration(configuration, SEGMENT_CREATION_OUTPUT_PATH);
    LOGGER.info("Output path : {}", outputDir);
    Path stagingDir = new Path(outputDir, TEMP);
    LOGGER.info("Staging dir : {}", stagingDir);
    String segmentWallClockStart = getAndSetConfiguration(configuration, SEGMENT_CREATION_WALLCLOCK_START_TIME);
    LOGGER.info("Segment wallclock start time : {}", segmentWallClockStart);
    String segmentWallClockEnd = getAndSetConfiguration(configuration, SEGMENT_CREATION_WALLCLOCK_END_TIME);
    LOGGER.info("Segment wallclock end time : {}", segmentWallClockEnd);
    String schedule = getAndSetConfiguration(configuration, SEGMENT_CREATION_SCHEDULE);
    LOGGER.info("Segment schedule : {}", schedule);
    String isBackfill = props.getProperty(SEGMENT_CREATION_BACKFILL.toString(), DEFAULT_BACKFILL);
    configuration.set(SEGMENT_CREATION_BACKFILL.toString(), isBackfill);
    LOGGER.info("Is Backfill : {}", configuration.get(SEGMENT_CREATION_BACKFILL.toString()));

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

    // Create output directory
    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));

    // Read input files
    List<FileStatus> inputDataFiles = new ArrayList<>();
    for (String input : inputSegmentDir.split(",")) {
        Path inputPathPattern = new Path(input);
        inputDataFiles.addAll(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(SEGMENT_CREATION_THIRDEYE_CONFIG.toString(),
            OBJECT_MAPPER.writeValueAsString(thirdeyeConfig));

    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(stagingDir, true);

    return job;
}

From source file:com.linkedin.thirdeye.hadoop.util.ThirdeyeAvroUtils.java

License:Apache License

/**
 * Finds the avro file in the input folder, and returns its avro schema
 * @param inputPathDir/*from  w  w w .j ava 2  s.  c  o  m*/
 * @return
 * @throws IOException
 */
public static Schema getSchema(String inputPathDir) throws IOException {
    FileSystem fs = FileSystem.get(new Configuration());
    Schema avroSchema = null;
    for (String input : inputPathDir.split(ThirdEyeConstants.FIELD_SEPARATOR)) {
        Path inputPath = new Path(input);
        for (FileStatus fileStatus : fs.listStatus(inputPath)) {
            if (fileStatus.isFile() && fileStatus.getPath().getName().endsWith(ThirdEyeConstants.AVRO_SUFFIX)) {
                LOGGER.info("Extracting schema from {}", fileStatus.getPath());
                avroSchema = extractSchemaFromAvro(fileStatus.getPath());
                break;
            }
        }
    }
    return avroSchema;
}

From source file:com.liveramp.cascading_ext.FileSystemHelper.java

License:Apache License

private static void printFiles(FileSystem fs, Path p, int indent) throws IOException {
    FileStatus stat = fs.getFileStatus(p);
    for (int i = 0; i < indent; i++) {
        System.out.print("\t");
    }// w w  w.j  a v  a  2 s  . c  om
    System.out.println(p.toString());
    if (stat.isDir()) {
        for (FileStatus child : fs.listStatus(p)) {
            printFiles(fs, child.getPath(), indent + 1);
        }
    }
}

From source file:com.liveramp.cascading_ext.FileSystemHelper.java

License:Apache License

public static FileStatus[] safeListStatus(FileSystem fs, Path p, PathFilter filter) throws IOException {
    try {/* w  ww .  j  a  va2s  .co m*/
        if (filter == null) {
            return fs.listStatus(p);
        } else {
            return fs.listStatus(p, filter);
        }
    }
    //  CDH4 will throw FNFEs if p doesn't exist--let people safely check for files at a path
    catch (FileNotFoundException e) {
        return new FileStatus[0];
    }
}