Example usage for org.apache.hadoop.fs Path toUri

List of usage examples for org.apache.hadoop.fs Path toUri

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Introduction

In this page you can find the example usage for org.apache.hadoop.fs Path toUri.

Prototype

public URI toUri()

Source Link

Document

Convert this Path to a URI.

Usage

From source file:com.elex.dmp.lda.CVB0Driver.java

License:Apache License

private static int getCurrentIterationNumber(Configuration config, Path modelTempDir, int maxIterations)
        throws IOException {
    FileSystem fs = FileSystem.get(modelTempDir.toUri(), config);
    int iterationNumber = 1;
    Path iterationPath = modelPath(modelTempDir, iterationNumber);
    while (fs.exists(iterationPath) && iterationNumber <= maxIterations) {
        log.info("Found previous state: " + iterationPath);
        iterationNumber++;/* w w  w  . j  av a 2 s .  co m*/
        iterationPath = modelPath(modelTempDir, iterationNumber);
    }
    return iterationNumber - 1;
}

From source file:com.elex.dmp.lda.CVB0Driver.java

License:Apache License

private static void setModelPaths(Job job, Path modelPath) throws IOException {
    Configuration conf = job.getConfiguration();
    if (modelPath == null || !FileSystem.get(modelPath.toUri(), conf).exists(modelPath)) {
        return;//w  ww .ja  v  a 2  s.co  m
    }
    FileStatus[] statuses = FileSystem.get(modelPath.toUri(), conf).listStatus(modelPath,
            PathFilters.partFilter());
    Preconditions.checkState(statuses.length > 0, "No part files found in model path '%s'",
            modelPath.toString());
    String[] modelPaths = new String[statuses.length];
    for (int i = 0; i < statuses.length; i++) {
        modelPaths[i] = statuses[i].getPath().toUri().toString();
    }
    conf.setStrings(MODEL_PATHS, modelPaths);
}

From source file:com.elex.dmp.vectorizer.DictionaryVectorizer.java

License:Apache License

/**
 * Read the feature frequency List which is built at the end of the Word Count Job and assign ids to them.
 * This will use constant memory and will run at the speed of your disk read
 *///from ww  w.  ja  v a2  s  .  c  o m
private static List<Path> createDictionaryChunks(Path wordCountPath, Path dictionaryPathBase,
        Configuration baseConf, int chunkSizeInMegabytes, int[] maxTermDimension) throws IOException {
    List<Path> chunkPaths = Lists.newArrayList();

    Configuration conf = new Configuration(baseConf);

    FileSystem fs = FileSystem.get(wordCountPath.toUri(), conf);

    long chunkSizeLimit = chunkSizeInMegabytes * 1024L * 1024L;
    int chunkIndex = 0;
    Path chunkPath = new Path(dictionaryPathBase, DICTIONARY_FILE + chunkIndex);
    chunkPaths.add(chunkPath);

    SequenceFile.Writer dictWriter = new SequenceFile.Writer(fs, conf, chunkPath, Text.class,
            IntWritable.class);

    try {
        long currentChunkSize = 0;
        Path filesPattern = new Path(wordCountPath, OUTPUT_FILES_PATTERN);
        int i = 0;
        for (Pair<Writable, Writable> record : new SequenceFileDirIterable<Writable, Writable>(filesPattern,
                PathType.GLOB, null, null, true, conf)) {
            if (currentChunkSize > chunkSizeLimit) {
                Closeables.closeQuietly(dictWriter);
                chunkIndex++;

                chunkPath = new Path(dictionaryPathBase, DICTIONARY_FILE + chunkIndex);
                chunkPaths.add(chunkPath);

                dictWriter = new SequenceFile.Writer(fs, conf, chunkPath, Text.class, IntWritable.class);
                currentChunkSize = 0;
            }

            Writable key = record.getFirst();
            int fieldSize = DICTIONARY_BYTE_OVERHEAD + key.toString().length() * 2 + Integer.SIZE / 8;
            currentChunkSize += fieldSize;
            dictWriter.append(key, new IntWritable(i++));
        }
        maxTermDimension[0] = i;
    } finally {
        Closeables.closeQuietly(dictWriter);
    }

    return chunkPaths;
}

From source file:com.elex.dmp.vectorizer.DictionaryVectorizer.java

License:Apache License

/**
 * Create a partial vector using a chunk of features from the input documents. The input documents has to be
 * in the {@link SequenceFile} format/*  w w w. j a  va  2 s  .  com*/
 * 
 * @param input
 *          input directory of the documents in {@link SequenceFile} format
 * @param baseConf
 *          job configuration
 * @param maxNGramSize
 *          maximum size of ngrams to generate
 * @param dictionaryFilePath
 *          location of the chunk of features and the id's
 * @param output
 *          output directory were the partial vectors have to be created
 * @param dimension
 * @param sequentialAccess
 *          output vectors should be optimized for sequential access
 * @param namedVectors
 *          output vectors should be named, retaining key (doc id) as a label
 * @param numReducers 
 *          the desired number of reducer tasks
 */
private static void makePartialVectors(Path input, Configuration baseConf, int maxNGramSize,
        Path dictionaryFilePath, Path output, int dimension, boolean sequentialAccess, boolean namedVectors,
        int numReducers) throws IOException, InterruptedException, ClassNotFoundException {

    Configuration conf = new Configuration(baseConf);
    // this conf parameter needs to be set enable serialisation of conf values
    conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
            + "org.apache.hadoop.io.serializer.WritableSerialization");
    conf.setInt(PartialVectorMerger.DIMENSION, dimension);
    conf.setBoolean(PartialVectorMerger.SEQUENTIAL_ACCESS, sequentialAccess);
    conf.setBoolean(PartialVectorMerger.NAMED_VECTOR, namedVectors);
    conf.setInt(MAX_NGRAMS, maxNGramSize);
    DistributedCache.setCacheFiles(new URI[] { dictionaryFilePath.toUri() }, conf);

    Job job = new Job(conf);
    job.setJobName("DictionaryVectorizer::MakePartialVectors: input-folder: " + input + ", dictionary-file: "
            + dictionaryFilePath);
    job.setJarByClass(DictionaryVectorizer.class);

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(StringTuple.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(VectorWritable.class);
    FileInputFormat.setInputPaths(job, input);

    FileOutputFormat.setOutputPath(job, output);

    job.setMapperClass(Mapper.class);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setReducerClass(TFPartialVectorReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    job.setNumReduceTasks(numReducers);

    HadoopUtil.delete(conf, output);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded)
        throw new IllegalStateException("Job failed!");
}

From source file:com.elex.dmp.vectorizer.FixDictionaryVectorizer.java

License:Apache License

/**
 * Read the feature frequency List which is built at the end of the Word Count Job and assign ids to them.
 * This will use constant memory and will run at the speed of your disk read
 *///  w  ww .  java  2  s .c  o m
private static List<Path> createDictionaryChunks(Path dictPath, Path dictionaryPathBase, Configuration baseConf,
        int chunkSizeInMegabytes, int[] maxTermDimension) throws IOException {
    List<Path> chunkPaths = Lists.newArrayList();

    Configuration conf = new Configuration(baseConf);

    FileSystem fs = FileSystem.get(dictPath.toUri(), conf);
    FileStatus[] dictFiles = fs.listStatus(dictPath, new PathFilter() {
        @Override
        public boolean accept(Path path) {
            String name = path.getName();
            return name.startsWith("dictionary.") && !name.endsWith(".crc");
        }
    });
    for (int i = 0; i < dictFiles.length; i++) {
        chunkPaths.add(dictFiles[i].getPath());
    }

    return chunkPaths;
}

From source file:com.elex.dmp.vectorizer.FixDictionaryVectorizer.java

License:Apache License

/**
 * Create a partial vector using a chunk of features from the input documents. The input documents has to be
 * in the {@link SequenceFile} format/*from  w w w  .  j  a va2s. co  m*/
 * 
 * @param input
 *          input directory of the documents in {@link SequenceFile} format
 * @param baseConf
 *          job configuration
 * @param maxNGramSize
 *          maximum size of ngrams to generate
 * @param dictionaryFilePath
 *          location of the chunk of features and the id's
 * @param output
 *          output directory were the partial vectors have to be created
 * @param dimension
 * @param sequentialAccess
 *          output vectors should be optimized for sequential access
 * @param namedVectors
 *          output vectors should be named, retaining key (doc id) as a label
 * @param numReducers 
 *          the desired number of reducer tasks
 */
private static void makePartialVectors(Path input, Configuration baseConf, int maxNGramSize,
        Path dictionaryFilePath, Path output, int dimension, boolean sequentialAccess, boolean namedVectors,
        int numReducers) throws IOException, InterruptedException, ClassNotFoundException {

    Configuration conf = new Configuration(baseConf);
    // this conf parameter needs to be set enable serialisation of conf values
    conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
            + "org.apache.hadoop.io.serializer.WritableSerialization");
    conf.setInt(PartialVectorMerger.DIMENSION, dimension);
    conf.setBoolean(PartialVectorMerger.SEQUENTIAL_ACCESS, sequentialAccess);
    conf.setBoolean(PartialVectorMerger.NAMED_VECTOR, namedVectors);
    conf.setInt(MAX_NGRAMS, maxNGramSize);
    DistributedCache.setCacheFiles(new URI[] { dictionaryFilePath.toUri() }, conf);

    Job job = new Job(conf);
    job.setJobName("DictionaryVectorizer::MakePartialVectors: input-folder: " + input + ", dictionary-file: "
            + dictionaryFilePath);
    job.setJarByClass(FixDictionaryVectorizer.class);

    job.setMapOutputKeyClass(Text.class);
    job.setMapOutputValueClass(StringTuple.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(VectorWritable.class);
    FileInputFormat.setInputPaths(job, input);

    FileOutputFormat.setOutputPath(job, output);

    job.setMapperClass(Mapper.class);
    job.setInputFormatClass(SequenceFileInputFormat.class);
    job.setReducerClass(TFPartialVectorReducer.class);
    job.setOutputFormatClass(SequenceFileOutputFormat.class);
    job.setNumReduceTasks(numReducers);

    HadoopUtil.delete(conf, output);

    boolean succeeded = job.waitForCompletion(true);
    if (!succeeded)
        throw new IllegalStateException("Job failed!");
}

From source file:com.epam.hadoop.nv.yarn.Client.java

License:Apache License

/**
 * Main run function for the client/* w w  w. j  av  a2  s.  c o  m*/
 * 
 * @return true if application completed successfully
 * @throws IOException
 * @throws YarnException
 */
public boolean run() throws IOException, YarnException {

    LOG.info("Running Client");
    yarnClient.start();

    YarnClusterMetrics clusterMetrics = yarnClient.getYarnClusterMetrics();
    LOG.info("Got Cluster metric info from ASM" + ", numNodeManagers=" + clusterMetrics.getNumNodeManagers());

    List<NodeReport> clusterNodeReports = yarnClient.getNodeReports(NodeState.RUNNING);
    LOG.info("Got Cluster node info from ASM");
    for (NodeReport node : clusterNodeReports) {
        LOG.info("Got node report from ASM for" + ", nodeId=" + node.getNodeId() + ", nodeAddress"
                + node.getHttpAddress() + ", nodeRackName" + node.getRackName() + ", nodeNumContainers"
                + node.getNumContainers());
    }

    QueueInfo queueInfo = yarnClient.getQueueInfo(this.amQueue);
    LOG.info("Queue info" + ", queueName=" + queueInfo.getQueueName() + ", queueCurrentCapacity="
            + queueInfo.getCurrentCapacity() + ", queueMaxCapacity=" + queueInfo.getMaximumCapacity()
            + ", queueApplicationCount=" + queueInfo.getApplications().size() + ", queueChildQueueCount="
            + queueInfo.getChildQueues().size());

    List<QueueUserACLInfo> listAclInfo = yarnClient.getQueueAclsInfo();
    for (QueueUserACLInfo aclInfo : listAclInfo) {
        for (QueueACL userAcl : aclInfo.getUserAcls()) {
            LOG.info("User ACL Info for Queue" + ", queueName=" + aclInfo.getQueueName() + ", userAcl="
                    + userAcl.name());
        }
    }

    // Get a new application id
    YarnClientApplication app = yarnClient.createApplication();
    GetNewApplicationResponse appResponse = app.getNewApplicationResponse();
    // TODO get min/max resource capabilities from RM and change memory ask
    // if needed
    // If we do not have min/max, we may not be able to correctly request
    // the required resources from the RM for the app master
    // Memory ask has to be a multiple of min and less than max.
    // Dump out information about cluster capability as seen by the resource
    // manager
    int maxMem = appResponse.getMaximumResourceCapability().getMemory();
    LOG.info("Max mem capabililty of resources in this cluster " + maxMem);

    // A resource ask cannot exceed the max.
    if (amMemory > maxMem) {
        LOG.info("AM memory specified above max threshold of cluster. Using max value." + ", specified="
                + amMemory + ", max=" + maxMem);
        amMemory = maxMem;
    }

    int maxVCores = appResponse.getMaximumResourceCapability().getVirtualCores();
    LOG.info("Max virtual cores capabililty of resources in this cluster " + maxVCores);

    if (amVCores > maxVCores) {
        LOG.info("AM virtual cores specified above max threshold of cluster. " + "Using max value."
                + ", specified=" + amVCores + ", max=" + maxVCores);
        amVCores = maxVCores;
    }

    // set the application name
    ApplicationSubmissionContext appContext = app.getApplicationSubmissionContext();
    ApplicationId appId = appContext.getApplicationId();

    appContext.setKeepContainersAcrossApplicationAttempts(keepContainers);
    appContext.setApplicationName(appName);

    // set local resources for the application master
    // local files or archives as needed
    // In this scenario, the jar file for the application master is part of
    // the local resources
    Map<String, LocalResource> localResources = new HashMap<String, LocalResource>();

    LOG.info("Copy App Master jar from local filesystem and add to local environment");
    // Copy the application master jar to the filesystem
    // Create a local resource to point to the destination jar path
    FileSystem fs = FileSystem.get(conf);
    addToLocalResources(fs, appMasterJar, appMasterJarPath, appId.toString(), localResources, null);

    // Set the log4j properties if needed
    if (!log4jPropFile.isEmpty()) {
        addToLocalResources(fs, log4jPropFile, log4jPath, appId.toString(), localResources, null);
    }

    // The shell script has to be made available on the final container(s)
    // where it will be executed.
    // To do this, we need to first copy into the filesystem that is visible
    // to the yarn framework.
    // We do not need to set this as a local resource for the application
    // master as the application master does not need it.
    String hdfsShellScriptLocation = "";
    long hdfsShellScriptLen = 0;
    long hdfsShellScriptTimestamp = 0;
    if (!shellScriptPath.isEmpty()) {
        Path shellSrc = new Path(shellScriptPath);
        String shellPathSuffix = appName + "/" + appId.toString() + "/" + SCRIPT_PATH;
        Path shellDst = new Path(fs.getHomeDirectory(), shellPathSuffix);
        fs.copyFromLocalFile(false, true, shellSrc, shellDst);
        hdfsShellScriptLocation = shellDst.toUri().toString();
        FileStatus shellFileStatus = fs.getFileStatus(shellDst);
        hdfsShellScriptLen = shellFileStatus.getLen();
        hdfsShellScriptTimestamp = shellFileStatus.getModificationTime();
    }

    if (!shellCommand.isEmpty()) {
        addToLocalResources(fs, null, shellCommandPath, appId.toString(), localResources, shellCommand);
    }

    if (shellArgs.length > 0) {
        addToLocalResources(fs, null, shellArgsPath, appId.toString(), localResources,
                StringUtils.join(shellArgs, " "));
    }

    // Set the necessary security tokens as needed
    // amContainer.setContainerTokens(containerToken);

    // Set the env variables to be setup in the env where the application
    // master will be run
    LOG.info("Set the environment for the application master");
    Map<String, String> env = new HashMap<String, String>();

    // put location of shell script into env
    // using the env info, the application master will create the correct
    // local resource for the
    // eventual containers that will be launched to execute the shell
    // scripts
    env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTLOCATION, hdfsShellScriptLocation);
    env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTTIMESTAMP, Long.toString(hdfsShellScriptTimestamp));
    env.put(DSConstants.DISTRIBUTEDSHELLSCRIPTLEN, Long.toString(hdfsShellScriptLen));

    // Add AppMaster.jar location to classpath
    // At some point we should not be required to add
    // the hadoop specific classpaths to the env.
    // It should be provided out of the box.
    // For now setting all required classpaths including
    // the classpath to "." for the application jar
    StringBuilder classPathEnv = new StringBuilder(Environment.CLASSPATH.$$())
            .append(ApplicationConstants.CLASS_PATH_SEPARATOR).append("./*");
    for (String c : conf.getStrings(YarnConfiguration.YARN_APPLICATION_CLASSPATH,
            YarnConfiguration.DEFAULT_YARN_CROSS_PLATFORM_APPLICATION_CLASSPATH)) {
        classPathEnv.append(ApplicationConstants.CLASS_PATH_SEPARATOR);
        classPathEnv.append(c.trim());
    }
    classPathEnv.append(ApplicationConstants.CLASS_PATH_SEPARATOR).append("./log4j.properties");

    // add the runtime classpath needed for tests to work
    if (conf.getBoolean(YarnConfiguration.IS_MINI_YARN_CLUSTER, false)) {
        classPathEnv.append(':');
        classPathEnv.append(System.getProperty("java.class.path"));
    }

    env.put("CLASSPATH", classPathEnv.toString());

    // Set the necessary command to execute the application master
    Vector<CharSequence> vargs = new Vector<CharSequence>(30);

    // Set java executable command
    LOG.info("Setting up app master command");
    vargs.add(Environment.JAVA_HOME.$$() + "/bin/java");
    // Set Xmx based on am memory size
    vargs.add("-Xmx" + amMemory + "m");
    // Set class name
    vargs.add(appMasterMainClass);
    // Set params for Application Master
    vargs.add("--container_memory " + String.valueOf(containerMemory));
    vargs.add("--container_vcores " + String.valueOf(containerVirtualCores));
    vargs.add("--num_containers " + String.valueOf(numContainers));
    vargs.add("--priority " + String.valueOf(shellCmdPriority));

    for (Map.Entry<String, String> entry : shellEnv.entrySet()) {
        vargs.add("--shell_env " + entry.getKey() + "=" + entry.getValue());
    }
    if (debugFlag) {
        vargs.add("--debug");
    }

    vargs.add("1>" + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/AppMaster.stdout");
    vargs.add("2>" + ApplicationConstants.LOG_DIR_EXPANSION_VAR + "/AppMaster.stderr");

    // Get final commmand
    StringBuilder command = new StringBuilder();
    for (CharSequence str : vargs) {
        command.append(str).append(" ");
    }

    LOG.info("Completed setting up app master command " + command.toString());
    List<String> commands = new ArrayList<String>();
    commands.add(command.toString());

    // Set up the container launch context for the application master
    ContainerLaunchContext amContainer = ContainerLaunchContext.newInstance(localResources, env, commands, null,
            null, null);

    // Set up resource type requirements
    // For now, both memory and vcores are supported, so we set memory and
    // vcores requirements
    Resource capability = Resource.newInstance(amMemory, amVCores);
    appContext.setResource(capability);

    // Service data is a binary blob that can be passed to the application
    // Not needed in this scenario
    // amContainer.setServiceData(serviceData);

    // Setup security tokens
    if (UserGroupInformation.isSecurityEnabled()) {
        // Note: Credentials class is marked as LimitedPrivate for HDFS and
        // MapReduce
        Credentials credentials = new Credentials();
        String tokenRenewer = conf.get(YarnConfiguration.RM_PRINCIPAL);
        if (tokenRenewer == null || tokenRenewer.length() == 0) {
            throw new IOException("Can't get Master Kerberos principal for the RM to use as renewer");
        }

        // For now, only getting tokens for the default file-system.
        final Token<?> tokens[] = fs.addDelegationTokens(tokenRenewer, credentials);
        if (tokens != null) {
            for (Token<?> token : tokens) {
                LOG.info("Got dt for " + fs.getUri() + "; " + token);
            }
        }
        DataOutputBuffer dob = new DataOutputBuffer();
        credentials.writeTokenStorageToStream(dob);
        ByteBuffer fsTokens = ByteBuffer.wrap(dob.getData(), 0, dob.getLength());
        amContainer.setTokens(fsTokens);
    }

    appContext.setAMContainerSpec(amContainer);

    // Set the priority for the application master
    // TODO - what is the range for priority? how to decide?
    Priority pri = Priority.newInstance(amPriority);
    appContext.setPriority(pri);

    // Set the queue to which this application is to be submitted in the RM
    appContext.setQueue(amQueue);

    // Submit the application to the applications manager
    // SubmitApplicationResponse submitResp =
    // applicationsManager.submitApplication(appRequest);
    // Ignore the response as either a valid response object is returned on
    // success
    // or an exception thrown to denote some form of a failure
    LOG.info("Submitting application to ASM");

    yarnClient.submitApplication(appContext);

    // TODO
    // Try submitting the same request again
    // app submission failure?

    // Monitor the application
    return monitorApplication(appId);

}

From source file:com.epam.hadoop.nv.yarn.Client.java

License:Apache License

private void addToLocalResources(FileSystem fs, String fileSrcPath, String fileDstPath, String appId,
        Map<String, LocalResource> localResources, String resources) throws IOException {
    String suffix = appName + "/" + appId + "/" + fileDstPath;
    Path dst = new Path(fs.getHomeDirectory(), suffix);
    if (fileSrcPath == null) {
        FSDataOutputStream ostream = null;
        try {//from  www.j  av a 2  s .  co  m
            ostream = FileSystem.create(fs, dst, new FsPermission((short) 0710));
            ostream.writeUTF(resources);
        } finally {
            IOUtils.closeQuietly(ostream);
        }
    } else {
        fs.copyFromLocalFile(new Path(fileSrcPath), dst);
    }
    FileStatus scFileStatus = fs.getFileStatus(dst);
    LocalResource scRsrc = LocalResource.newInstance(ConverterUtils.getYarnUrlFromURI(dst.toUri()),
            LocalResourceType.FILE, LocalResourceVisibility.APPLICATION, scFileStatus.getLen(),
            scFileStatus.getModificationTime());
    localResources.put(fileDstPath, scRsrc);
}

From source file:com.facebook.hiveio.common.FileSystems.java

License:Apache License

/**
 * Get path to file from source directory in a target directory.
 * Computes relative path of file in source and adds that to destination.
 *
 * @param file path to file//w ww. jav  a 2  s  . c  o m
 * @param srcDir path to source directory
 * @param destDir path to target directory
 * @return path of file in destination
 */
public static Path pathInDestination(Path file, Path srcDir, Path destDir) {
    URI fileUri = file.toUri();
    URI relativeUri = srcDir.toUri().relativize(fileUri);
    if (relativeUri == fileUri) {
        throw new IllegalArgumentException("Could not get file " + file + " relative path in " + srcDir);
    }
    String relativePath = relativeUri.getPath();
    if (relativePath.isEmpty()) {
        return destDir;
    } else {
        return new Path(destDir, relativePath);
    }
}

From source file:com.facebook.presto.hive.HdfsEnvironment.java

License:Apache License

public Configuration getConfiguration(Path path) {
    URI uri = path.toUri();
    if ("file".equals(uri.getScheme())) {
        return new Configuration();
    }//from w w w .j  a  v a 2s  .  c o  m

    String host = uri.getHost();
    checkArgument(host != null, "path host is null: %s", path);
    return hdfsConfiguration.getConfiguration(host);
}