Java CryptoUtils.cryptoPadding方法代码示例

import org.apache.hadoop.mapreduce.CryptoUtils; //导入方法依赖的package包/类
void init(Counters.Counter readsCounter) throws IOException {
  if (reader == null) {
    FSDataInputStream in = fs.open(file);

    in.seek(segmentOffset);
    in = CryptoUtils.wrapIfNecessary(conf, in);
    reader = new Reader<K, V>(conf, in,
        segmentLength - CryptoUtils.cryptoPadding(conf),
        codec, readsCounter);
  }
  
  if (mapOutputsCounter != null) {
    mapOutputsCounter.increment(1);
  }
}
 

import org.apache.hadoop.mapreduce.CryptoUtils; //导入方法依赖的package包/类
/**
 * Retrieve the map output of a single map task
 * and send it to the merger.
 */
private boolean copyMapOutput(TaskAttemptID mapTaskId) throws IOException {
  // Figure out where the map task stored its output.
  Path mapOutputFileName = localMapFiles.get(mapTaskId).getOutputFile();
  Path indexFileName = mapOutputFileName.suffix(".index");

  // Read its index to determine the location of our split
  // and its size.
  SpillRecord sr = new SpillRecord(indexFileName, job);
  IndexRecord ir = sr.getIndex(reduce);

  long compressedLength = ir.partLength;
  long decompressedLength = ir.rawLength;

  compressedLength -= CryptoUtils.cryptoPadding(job);
  decompressedLength -= CryptoUtils.cryptoPadding(job);

  // Get the location for the map output - either in-memory or on-disk
  MapOutput<K, V> mapOutput = merger.reserve(mapTaskId, decompressedLength,
      id);

  // Check if we can shuffle *now* ...
  if (mapOutput == null) {
    LOG.info("fetcher#" + id + " - MergeManager returned Status.WAIT ...");
    return false;
  }

  // Go!
  LOG.info("localfetcher#" + id + " about to shuffle output of map " + 
           mapOutput.getMapId() + " decomp: " +
           decompressedLength + " len: " + compressedLength + " to " +
           mapOutput.getDescription());

  // now read the file, seek to the appropriate section, and send it.
  FileSystem localFs = FileSystem.getLocal(job).getRaw();
  FSDataInputStream inStream = localFs.open(mapOutputFileName);

  inStream = CryptoUtils.wrapIfNecessary(job, inStream);

  try {
    inStream.seek(ir.startOffset + CryptoUtils.cryptoPadding(job));
    mapOutput.shuffle(LOCALHOST, inStream, compressedLength, decompressedLength, metrics, reporter);
  } finally {
    try {
      inStream.close();
    } catch (IOException ioe) {
      LOG.warn("IOException closing inputstream from map output: "
          + ioe.toString());
    }
  }

  scheduler.copySucceeded(mapTaskId, LOCALHOST, compressedLength, 0, 0,
      mapOutput);
  return true; // successful fetch.
}
 

import org.apache.hadoop.mapreduce.CryptoUtils; //导入方法依赖的package包/类
/**
 * Handles the degenerate case where serialization fails to fit in
 * the in-memory buffer, so we must spill the record from collect
 * directly to a spill file. Consider this "losing".
 */
private void spillSingleRecord(final K key, final V value,
                               int partition) throws IOException {
  long size = kvbuffer.length + partitions * APPROX_HEADER_LENGTH;
  FSDataOutputStream out = null;
  try {
    // create spill file
    final SpillRecord spillRec = new SpillRecord(partitions);
    final Path filename =
        mapOutputFile.getSpillFileForWrite(numSpills, size);
    out = rfs.create(filename);

    // we don't run the combiner for a single record
    IndexRecord rec = new IndexRecord();
    for (int i = 0; i < partitions; ++i) {
      IFile.Writer<K, V> writer = null;
      try {
        long segmentStart = out.getPos();
        // Create a new codec, don't care!
        FSDataOutputStream partitionOut = CryptoUtils.wrapIfNecessary(job, out);
        writer = new IFile.Writer<K,V>(job, partitionOut, keyClass, valClass, codec,
                                        spilledRecordsCounter);

        if (i == partition) {
          final long recordStart = out.getPos();
          writer.append(key, value);
          // Note that our map byte count will not be accurate with
          // compression
          mapOutputByteCounter.increment(out.getPos() - recordStart);
        }
        writer.close();

        // record offsets
        rec.startOffset = segmentStart;
        rec.rawLength = writer.getRawLength() + CryptoUtils.cryptoPadding(job);
        rec.partLength = writer.getCompressedLength() + CryptoUtils.cryptoPadding(job);
        spillRec.putIndex(rec, i);

        writer = null;
      } catch (IOException e) {
        if (null != writer) writer.close();
        throw e;
      }
    }
    if (totalIndexCacheMemory >= indexCacheMemoryLimit) {
      // create spill index file
      Path indexFilename =
          mapOutputFile.getSpillIndexFileForWrite(numSpills, partitions
              * MAP_OUTPUT_INDEX_RECORD_LENGTH);
      spillRec.writeToFile(indexFilename, job);
    } else {
      indexCacheList.add(spillRec);
      totalIndexCacheMemory +=
        spillRec.size() * MAP_OUTPUT_INDEX_RECORD_LENGTH;
    }
    ++numSpills;
  } finally {
    if (out != null) out.close();
  }
}
 

import org.apache.hadoop.mapreduce.CryptoUtils; //导入方法依赖的package包/类
/**
 * Retrieve the map output of a single map task
 * and send it to the merger.
 */
private boolean copyMapOutput(TaskAttemptID mapTaskId) throws IOException {
  // Figure out where the map task stored its output.
  Path mapOutputFileName = localMapFiles.get(mapTaskId).getOutputFile();
  Path indexFileName = mapOutputFileName.suffix(".index");

  // Read its index to determine the location of our split
  // and its size.
  SpillRecord sr = new SpillRecord(indexFileName, job);
  IndexRecord ir = sr.getIndex(reduce);

  long compressedLength = ir.partLength;
  long decompressedLength = ir.rawLength;

  compressedLength -= CryptoUtils.cryptoPadding(job);
  decompressedLength -= CryptoUtils.cryptoPadding(job);

  // Get the location for the map output - either in-memory or on-disk
  MapOutput<K, V> mapOutput = merger.reserve(mapTaskId, decompressedLength,
      id);

  // Check if we can shuffle *now* ...
  if (mapOutput == null) {
    LOG.info("fetcher#" + id + " - MergeManager returned Status.WAIT ...");
    return false;
  }

  // Go!
  LOG.info("localfetcher#" + id + " about to shuffle output of map " + 
           mapOutput.getMapId() + " decomp: " +
           decompressedLength + " len: " + compressedLength + " to " +
           mapOutput.getDescription());

  // now read the file, seek to the appropriate section, and send it.
  FileSystem localFs = FileSystem.getLocal(job).getRaw();
  FSDataInputStream inStream = localFs.open(mapOutputFileName);
  try {
    inStream = CryptoUtils.wrapIfNecessary(job, inStream);
    inStream.seek(ir.startOffset + CryptoUtils.cryptoPadding(job));
    mapOutput.shuffle(LOCALHOST, inStream, compressedLength,
        decompressedLength, metrics, reporter);
  } finally {
    IOUtils.cleanup(LOG, inStream);
  }

  scheduler.copySucceeded(mapTaskId, LOCALHOST, compressedLength, 0, 0,
      mapOutput);
  return true; // successful fetch.
}