当前位置: 首页>>代码示例>>Java>>正文


Java RandomDatum.readFields方法代码示例

本文整理汇总了Java中org.apache.hadoop.io.RandomDatum.readFields方法的典型用法代码示例。如果您正苦于以下问题:Java RandomDatum.readFields方法的具体用法?Java RandomDatum.readFields怎么用?Java RandomDatum.readFields使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在org.apache.hadoop.io.RandomDatum的用法示例。


在下文中一共展示了RandomDatum.readFields方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。

示例1: codecTest

import org.apache.hadoop.io.RandomDatum; //导入方法依赖的package包/类
private static void codecTest(Configuration conf, int seed, int count, 
                              String codecClass) 
  throws IOException {
  
  // Create the codec
  CompressionCodec codec = null;
  try {
    codec = (CompressionCodec)
      ReflectionUtils.newInstance(conf.getClassByName(codecClass), conf);
  } catch (ClassNotFoundException cnfe) {
    throw new IOException("Illegal codec!");
  }
  LOG.info("Created a Codec object of type: " + codecClass);

  // Generate data
  DataOutputBuffer data = new DataOutputBuffer();
  RandomDatum.Generator generator = new RandomDatum.Generator(seed);
  for(int i=0; i < count; ++i) {
    generator.next();
    RandomDatum key = generator.getKey();
    RandomDatum value = generator.getValue();
    
    key.write(data);
    value.write(data);
  }
  DataInputBuffer originalData = new DataInputBuffer();
  DataInputStream originalIn = new DataInputStream(new BufferedInputStream(originalData));
  originalData.reset(data.getData(), 0, data.getLength());
  
  LOG.info("Generated " + count + " records");
  
  // Compress data
  DataOutputBuffer compressedDataBuffer = new DataOutputBuffer();
  CompressionOutputStream deflateFilter = 
    codec.createOutputStream(compressedDataBuffer);
  DataOutputStream deflateOut = 
    new DataOutputStream(new BufferedOutputStream(deflateFilter));
  deflateOut.write(data.getData(), 0, data.getLength());
  deflateOut.flush();
  deflateFilter.finish();
  LOG.info("Finished compressing data");
  
  // De-compress data
  DataInputBuffer deCompressedDataBuffer = new DataInputBuffer();
  deCompressedDataBuffer.reset(compressedDataBuffer.getData(), 0, 
                               compressedDataBuffer.getLength());
  CompressionInputStream inflateFilter = 
    codec.createInputStream(deCompressedDataBuffer);
  DataInputStream inflateIn = 
    new DataInputStream(new BufferedInputStream(inflateFilter));

  // Check
  for(int i=0; i < count; ++i) {
    RandomDatum k1 = new RandomDatum();
    RandomDatum v1 = new RandomDatum();
    k1.readFields(originalIn);
    v1.readFields(originalIn);
    
    RandomDatum k2 = new RandomDatum();
    RandomDatum v2 = new RandomDatum();
    k2.readFields(inflateIn);
    v2.readFields(inflateIn);
  }
  LOG.info("SUCCESS! Completed checking " + count + " records");
}
 
开发者ID:rhli,项目名称:hadoop-EAR,代码行数:66,代码来源:TestCodec.java

示例2: codecTest

import org.apache.hadoop.io.RandomDatum; //导入方法依赖的package包/类
private static void codecTest(Configuration conf, int seed, int count, 
                              String codecClass) 
  throws IOException {
  
  // Create the codec
  CompressionCodec codec = null;
  try {
    codec = (CompressionCodec)
      ReflectionUtils.newInstance(conf.getClassByName(codecClass), conf);
  } catch (ClassNotFoundException cnfe) {
    throw new IOException("Illegal codec!");
  }
  LOG.info("Created a Codec object of type: " + codecClass);

  // Generate data
  DataOutputBuffer data = new DataOutputBuffer();
  RandomDatum.Generator generator = new RandomDatum.Generator(seed);
  for(int i=0; i < count; ++i) {
    generator.next();
    RandomDatum key = generator.getKey();
    RandomDatum value = generator.getValue();
    
    key.write(data);
    value.write(data);
  }
  DataInputBuffer originalData = new DataInputBuffer();
  DataInputStream originalIn = new DataInputStream(new BufferedInputStream(originalData));
  originalData.reset(data.getData(), 0, data.getLength());
  
  LOG.info("Generated " + count + " records");
  
  // Compress data
  DataOutputBuffer compressedDataBuffer = new DataOutputBuffer();
  CompressionOutputStream deflateFilter = 
    codec.createOutputStream(compressedDataBuffer);
  DataOutputStream deflateOut = 
    new DataOutputStream(new BufferedOutputStream(deflateFilter));
  deflateOut.write(data.getData(), 0, data.getLength());
  deflateOut.flush();
  deflateFilter.finish();
  LOG.info("Finished compressing data");
  
  // De-compress data
  DataInputBuffer deCompressedDataBuffer = new DataInputBuffer();
  deCompressedDataBuffer.reset(compressedDataBuffer.getData(), 0, 
                               compressedDataBuffer.getLength());
  CompressionInputStream inflateFilter = 
    codec.createInputStream(deCompressedDataBuffer);
  DataInputStream inflateIn = 
    new DataInputStream(new BufferedInputStream(inflateFilter));

  // Check
  for(int i=0; i < count; ++i) {
    RandomDatum k1 = new RandomDatum();
    RandomDatum v1 = new RandomDatum();
    k1.readFields(originalIn);
    v1.readFields(originalIn);
    
    RandomDatum k2 = new RandomDatum();
    RandomDatum v2 = new RandomDatum();
    k2.readFields(inflateIn);
    v2.readFields(inflateIn);
    assertTrue("original and compressed-then-decompressed-output not equal",
               k1.equals(k2) && v1.equals(v2));
  }
  LOG.info("SUCCESS! Completed checking " + count + " records");
}
 
开发者ID:Seagate,项目名称:hadoop-on-lustre,代码行数:68,代码来源:TestCodec.java


注:本文中的org.apache.hadoop.io.RandomDatum.readFields方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。