Java Path類代碼示例

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
private static void checkOuterConsistency(Job job, Path[] src) 
    throws IOException {
  Path outf = FileOutputFormat.getOutputPath(job);
  FileStatus[] outlist = cluster.getFileSystem().listStatus(outf, new 
                           Utils.OutputFileUtils.OutputFilesFilter());
  assertEquals("number of part files is more than 1. It is" + outlist.length,
    1, outlist.length);
  assertTrue("output file with zero length" + outlist[0].getLen(),
    0 < outlist[0].getLen());
  SequenceFile.Reader r =
    new SequenceFile.Reader(cluster.getFileSystem(),
        outlist[0].getPath(), job.getConfiguration());
  IntWritable k = new IntWritable();
  IntWritable v = new IntWritable();
  while (r.next(k, v)) {
    assertEquals("counts does not match", v.get(),
      countProduct(k, src, job.getConfiguration()));
  }
  r.close();
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
public static void main(String[] args) throws Exception {
    BasicConfigurator.configure();
    Configuration conf = new Configuration();
    conf.setQuietMode(true);

    Job job = Job.getInstance(conf, "WordCount");
    job.setJarByClass(HadoopWordCount.class);

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

    job.setMapperClass(Map.class);
    job.setCombinerClass(Reduce.class);
    job.setReducerClass(Reduce.class);

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

    FileInputFormat.setInputPaths(job, new Path(args[0]));
    FileOutputFormat.setOutputPath(job, new Path(args[1] + "_" + System.currentTimeMillis()));

    long t = System.currentTimeMillis();
    job.waitForCompletion(true);

    System.out.println("TotalTime=" + (System.currentTimeMillis() - t));
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * Convenience method, so that we don't open a new connection when using this
 * method from within another method. Otherwise every API invocation incurs
 * the overhead of opening/closing a TCP connection.
 */
private boolean mkdirs(FTPClient client, Path file, FsPermission permission)
    throws IOException {
  boolean created = true;
  Path workDir = new Path(client.printWorkingDirectory());
  Path absolute = makeAbsolute(workDir, file);
  String pathName = absolute.getName();
  if (!exists(client, absolute)) {
    Path parent = absolute.getParent();
    created = (parent == null || mkdirs(client, parent, FsPermission
        .getDirDefault()));
    if (created) {
      String parentDir = parent.toUri().getPath();
      client.changeWorkingDirectory(parentDir);
      created = created && client.makeDirectory(pathName);
    }
  } else if (isFile(client, absolute)) {
    throw new ParentNotDirectoryException(String.format(
        "Can't make directory for path %s since it is a file.", absolute));
  }
  return created;
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * @param sparkContext    active Spark Context
 * @param trainData       training data on which to build a model
 * @param hyperParameters ordered list of hyper parameter values to use in building model
 * @param candidatePath   directory where additional model files can be written
 * @return a {@link PMML} representation of a model trained on the given data
 */
@Override
public PMML buildModel(JavaSparkContext sparkContext,
                       JavaRDD<String> trainData,
                       List<?> hyperParameters,
                       Path candidatePath) {
  int numClusters = (Integer) hyperParameters.get(0);
  Preconditions.checkArgument(numClusters > 1);
  log.info("Building KMeans Model with {} clusters", numClusters);

  JavaRDD<Vector> trainingData = parsedToVectorRDD(trainData.map(MLFunctions.PARSE_FN));
  KMeansModel kMeansModel = KMeans.train(trainingData.rdd(), numClusters, maxIterations,
                                         numberOfRuns, initializationStrategy);

  return kMeansModelToPMML(kMeansModel, fetchClusterCountsFromModel(trainingData, kMeansModel));
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * Test a data block encoder on the given HFile. Output results to console.
 * @param kvLimit The limit of KeyValue which will be analyzed.
 * @param hfilePath an HFile path on the file system.
 * @param compressionName Compression algorithm used for comparison.
 * @param doBenchmark Run performance benchmarks.
 * @param doVerify Verify correctness.
 * @throws IOException When pathName is incorrect.
 */
public static void testCodecs(Configuration conf, int kvLimit,
    String hfilePath, String compressionName, boolean doBenchmark,
    boolean doVerify) throws IOException {
  // create environment
  Path path = new Path(hfilePath);
  CacheConfig cacheConf = new CacheConfig(conf);
  FileSystem fs = FileSystem.get(conf);
  StoreFile hsf = new StoreFile(fs, path, conf, cacheConf,
    BloomType.NONE);

  StoreFile.Reader reader = hsf.createReader();
  reader.loadFileInfo();
  KeyValueScanner scanner = reader.getStoreFileScanner(true, true);

  // run the utilities
  DataBlockEncodingTool comp = new DataBlockEncodingTool(compressionName);
  int majorVersion = reader.getHFileVersion();
  comp.useHBaseChecksum = majorVersion > 2
      || (majorVersion == 2 && reader.getHFileMinorVersion() >= HFileReaderV2.MINOR_VERSION_WITH_CHECKSUM);
  comp.checkStatistics(scanner, kvLimit);
  if (doVerify) {
    comp.verifyCodecs(scanner, kvLimit);
  }
  if (doBenchmark) {
    comp.benchmarkCodecs();
  }
  comp.displayStatistics();

  // cleanup
  scanner.close();
  reader.close(cacheConf.shouldEvictOnClose());
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * Test NN ReadOps Count and WriteOps Count
 */
@Test
public void testReadWriteOps() throws Exception {
  MetricsRecordBuilder rb = getMetrics(NN_METRICS);
  long startWriteCounter = MetricsAsserts.getLongCounter("TransactionsNumOps",
      rb);
  Path file1_Path = new Path(TEST_ROOT_DIR_PATH, "ReadData.dat");

  //Perform create file operation
  createFile(file1_Path, 1024 * 1024,(short)2);

  // Perform read file operation on earlier created file
  readFile(fs, file1_Path);
  MetricsRecordBuilder rbNew = getMetrics(NN_METRICS);
  assertTrue(MetricsAsserts.getLongCounter("TransactionsNumOps", rbNew) >
      startWriteCounter);
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
@Test (timeout = 30000)
public void testFstat() throws Exception {
  FileOutputStream fos = new FileOutputStream(
    new File(TEST_DIR, "testfstat"));
  NativeIO.POSIX.Stat stat = NativeIO.POSIX.getFstat(fos.getFD());
  fos.close();
  LOG.info("Stat: " + String.valueOf(stat));

  String owner = stat.getOwner();
  String expectedOwner = System.getProperty("user.name");
  if (Path.WINDOWS) {
    UserGroupInformation ugi =
        UserGroupInformation.createRemoteUser(expectedOwner);
    final String adminsGroupString = "Administrators";
    if (Arrays.asList(ugi.getGroupNames()).contains(adminsGroupString)) {
      expectedOwner = adminsGroupString;
    }
  }
  assertEquals(expectedOwner, owner);
  assertNotNull(stat.getGroup());
  assertTrue(!stat.getGroup().isEmpty());
  assertEquals("Stat mode field should indicate a regular file", S_IFREG,
    stat.getMode() & S_IFMT);
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
private void codecTestMapFile(Class<? extends CompressionCodec> clazz,
    CompressionType type, int records) throws Exception {
  
  FileSystem fs = FileSystem.get(conf);
  LOG.info("Creating MapFiles with " + records  + 
          " records using codec " + clazz.getSimpleName());
  Path path = new Path(new Path(
      System.getProperty("test.build.data", "/tmp")),
    clazz.getSimpleName() + "-" + type + "-" + records);

  LOG.info("Writing " + path);
  createMapFile(conf, fs, path, clazz.newInstance(), type, records);
  MapFile.Reader reader = new MapFile.Reader(path, conf);
  Text key1 = new Text("002");
  assertNotNull(reader.get(key1, new Text()));
  Text key2 = new Text("004");
  assertNotNull(reader.get(key2, new Text()));
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * Test writes a file and closes it.
 * Block reported is generated with a bad GS for a single block.
 * Block report is forced and the check for # of corrupted blocks is performed.
 *
 * @throws IOException in case of an error
 */
@Test(timeout=300000)
public void blockReport_03() throws IOException {
  final String METHOD_NAME = GenericTestUtils.getMethodName();
  Path filePath = new Path("/" + METHOD_NAME + ".dat");
  writeFile(METHOD_NAME, FILE_SIZE, filePath);

  // all blocks belong to the same file, hence same BP
  DataNode dn = cluster.getDataNodes().get(DN_N0);
  String poolId = cluster.getNamesystem().getBlockPoolId();
  DatanodeRegistration dnR = dn.getDNRegistrationForBP(poolId);
  StorageBlockReport[] reports = getBlockReports(dn, poolId, true, false);
  sendBlockReports(dnR, poolId, reports);
  printStats();

  assertThat("Wrong number of corrupt blocks",
             cluster.getNamesystem().getCorruptReplicaBlocks(), is(1L));
  assertThat("Wrong number of PendingDeletion blocks",
             cluster.getNamesystem().getPendingDeletionBlocks(), is(0L));
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
public void testBooleanValues() throws IOException {
  out=new BufferedWriter(new FileWriter(CONFIG));
  startConfig();
  appendProperty("test.bool1", "true");
  appendProperty("test.bool2", "false");
  appendProperty("test.bool3", "  true ");
  appendProperty("test.bool4", " false ");
  appendProperty("test.bool5", "foo");
  appendProperty("test.bool6", "TRUE");
  appendProperty("test.bool7", "FALSE");
  appendProperty("test.bool8", "");
  endConfig();
  Path fileResource = new Path(CONFIG);
  conf.addResource(fileResource);
  assertEquals(true, conf.getBoolean("test.bool1", false));
  assertEquals(false, conf.getBoolean("test.bool2", true));
  assertEquals(true, conf.getBoolean("test.bool3", false));
  assertEquals(false, conf.getBoolean("test.bool4", true));
  assertEquals(true, conf.getBoolean("test.bool5", true));
  assertEquals(true, conf.getBoolean("test.bool6", false));
  assertEquals(false, conf.getBoolean("test.bool7", true));
  assertEquals(false, conf.getBoolean("test.bool8", false));
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
@Test
public void testCompareTo() throws IOException {
  Path path1 = new Path("path1");
  Path path2 = new Path("path2");
  FileStatus fileStatus1 =
      new FileStatus(1, true, 1, 1, 1, 1, FsPermission.valueOf("-rw-rw-rw-"),
          "one", "one", null, path1);
  FileStatus fileStatus2 =
      new FileStatus(1, true, 1, 1, 1, 1, FsPermission.valueOf("-rw-rw-rw-"),
          "one", "one", null, path2);
  assertTrue(fileStatus1.compareTo(fileStatus2) < 0);
  assertTrue(fileStatus2.compareTo(fileStatus1) > 0);

  List<FileStatus> statList = new ArrayList<>();
  statList.add(fileStatus1);
  statList.add(fileStatus2);
  assertTrue(Collections.binarySearch(statList, fileStatus1) > -1);
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * Add files in the input path recursively into the results.
 * @param result
 *          The List to store all files.
 * @param fs
 *          The FileSystem.
 * @param path
 *          The input path.
 * @param inputFilter
 *          The input filter that can be used to filter files/dirs. 
 * @throws IOException
 */
protected void addInputPathRecursively(List<FileStatus> result,
    FileSystem fs, Path path, PathFilter inputFilter) 
    throws IOException {
  RemoteIterator<LocatedFileStatus> iter = fs.listLocatedStatus(path);
  while (iter.hasNext()) {
    LocatedFileStatus stat = iter.next();
    if (inputFilter.accept(stat.getPath())) {
      if (stat.isDirectory()) {
        addInputPathRecursively(result, fs, stat.getPath(), inputFilter);
      } else {
        result.add(stat);
      }
    }
  }
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
@Test(timeout=10000)
public void testCleanupRemainders() throws Exception {
  Assume.assumeTrue(NativeIO.isAvailable());
  Assume.assumeTrue(SystemUtils.IS_OS_UNIX);
  File path = new File(TEST_BASE, "testCleanupRemainders");
  path.mkdirs();
  String remainder1 = path.getAbsolutePath() + 
      Path.SEPARATOR + "woot2_remainder1";
  String remainder2 = path.getAbsolutePath() +
      Path.SEPARATOR + "woot2_remainder2";
  createTempFile(remainder1);
  createTempFile(remainder2);
  SharedFileDescriptorFactory.create("woot2_", 
      new String[] { path.getAbsolutePath() });
  // creating the SharedFileDescriptorFactory should have removed 
  // the remainders
  Assert.assertFalse(new File(remainder1).exists());
  Assert.assertFalse(new File(remainder2).exists());
  FileUtil.fullyDelete(path);
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
@Override
public Map<String, HTableDescriptor> getByNamespace(String name)
throws IOException {
  Map<String, HTableDescriptor> htds = new TreeMap<String, HTableDescriptor>();
  List<Path> tableDirs =
      FSUtils.getLocalTableDirs(fs, FSUtils.getNamespaceDir(rootdir, name));
  for (Path d: tableDirs) {
    HTableDescriptor htd = null;
    try {
      htd = get(FSUtils.getTableName(d));
    } catch (FileNotFoundException fnfe) {
      // inability of retrieving one HTD shouldn't stop getting the remaining
      LOG.warn("Trouble retrieving htd", fnfe);
    }
    if (htd == null) continue;
    htds.put(FSUtils.getTableName(d).getNameAsString(), htd);
  }
  return htds;
}
 

import org.apache.hadoop.fs.Path; //導入依賴的package包/類
/**
 * This is the main routine for launching a distributed random write job.
 * It runs 10 maps/node and each node writes 1 gig of data to a DFS file.
 * The reduce doesn't do anything.
 * 
 * @throws IOException 
 */
public int run(String[] args) throws Exception {    
  if (args.length == 0) {
    return printUsage();    
  }
  Job job = createJob(getConf());
  FileOutputFormat.setOutputPath(job, new Path(args[0]));
  Date startTime = new Date();
  System.out.println("Job started: " + startTime);
  int ret = job.waitForCompletion(true) ? 0 : 1;
  Date endTime = new Date();
  System.out.println("Job ended: " + endTime);
  System.out.println("The job took " + 
                     (endTime.getTime() - startTime.getTime()) /1000 + 
                     " seconds.");
  
  return ret;
}