Hadoop之SequenceFile

        Hadoop序列化文件SequenceFile能够用于解决大量小文件（所谓小文件：泛指小于black大小的文件）问题，SequenceFile是Hadoop API提供的一种二进制文件支持。这样的二进制文件直接将<key,value>对序列化到文件里，一般对小文件能够使用这样的文件合并。即将文件名称作为key。文件内容作为value序列化到大文件里。

hadoop Archive也是一个高效地将小文件放入HDFS块中的文件存档文件格式，详情请看：hadoop Archive

可是SequenceFile文件不能追加写入，适用于一次性写入大量小文件的操作。

SequenceFile的压缩基于CompressType，请看源代码：

  /**
   * The compression type used to compress key/value pairs in the
   * {@link SequenceFile}.
   * @see SequenceFile.Writer
   */
public static enum CompressionType {
    /** Do not compress records. */
    NONE, //不压缩
    /** Compress values only, each separately. */
    RECORD,  //仅仅压缩values
    /** Compress sequences of records together in blocks. */
    BLOCK //压缩非常多记录的key/value组成块
}

SequenceFile读写演示样例：

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IOUtils;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.SequenceFile.CompressionType;
import org.apache.hadoop.io.SequenceFile.Reader;
import org.apache.hadoop.io.SequenceFile.Writer;
import org.apache.hadoop.io.Text;

/**
 * @version 1.0
 * @author Fish
 */
public class SequenceFileWriteDemo {
	private static final String[] DATA = { "fish1", "fish2", "fish3", "fish4" };

	public static void main(String[] args) throws IOException {
		/**
		 * 写SequenceFile
		 */
		String uri = "/test/fish/seq.txt";
		Configuration conf = new Configuration();
		Path path = new Path(uri);
		IntWritable key = new IntWritable();
		Text value = new Text();
		Writer writer = null;
		try {
			/**
			 * CompressionType.NONE 不压缩<br>
			 * CompressionType.RECORD 仅仅压缩value<br>
			 * CompressionType.BLOCK 压缩非常多记录的key/value组成块
			 */
			writer = SequenceFile.createWriter(conf, Writer.file(path), Writer.keyClass(key.getClass()),
					Writer.valueClass(value.getClass()), Writer.compression(CompressionType.BLOCK));

			for (int i = 0; i < 4; i++) {
				value.set(DATA[i]);
				key.set(i);
				System.out.printf("[%s]	%s	%s
", writer.getLength(), key, value);
				writer.append(key, value);

			}
		} finally {
			IOUtils.closeStream(writer);
		}

		/**
		 * 读SequenceFile
		 */
		SequenceFile.Reader reader = new SequenceFile.Reader(conf, Reader.file(path));
		IntWritable key1 = new IntWritable();
		Text value1 = new Text();
		while (reader.next(key1, value1)) {
			System.out.println(key1 + "----" + value1);
		}
		IOUtils.closeStream(reader);// 关闭read流
		
		/**
		 * 用于排序
		 */
//		SequenceFile.Sorter sorter = new SequenceFile.Sorter(fs, comparator, IntWritable.class, Text.class, conf);
	}
}

以上程序运行多次，并不会出现数据append的情况，每次都是又一次创建一个文件，且文件里只唯独四条数据。究其原因。能够查看SequenceFile.Writer类的构造方法源代码：

out = fs.create(p, true, bufferSize, replication, blockSize, progress);

第二个參数为true，表示每次覆盖同名文件，假设为false会抛出异常。

这样设计的目的可能是和HDFS一次写入多次读取有关。不提倡追加现有文件，所以构造方法写死了true。

SequenceFile文件的数据组成形式：

一，Header

写入头部的源代码：

    /** Write and flush the file header. */
    private void writeFileHeader() 
      throws IOException {
      out.write(VERSION);//版本
      Text.writeString(out, keyClass.getName());//key的Class
      Text.writeString(out, valClass.getName());//val的Class

      out.writeBoolean(this.isCompressed());//是否压缩
      out.writeBoolean(this.isBlockCompressed());//是否是CompressionType.BLOCK类型的压缩
      
      if (this.isCompressed()) {
        Text.writeString(out, (codec.getClass()).getName());//压缩类的名称
      }
      this.metadata.write(out);//写入metadata
      out.write(sync);                       // write the sync bytes
      out.flush();                           // flush header
    }

版本：

  private static byte[] VERSION = new byte[] {
    (byte)'S', (byte)'E', (byte)'Q', VERSION_WITH_METADATA
  };

同步标识符的生成方式：

    byte[] sync;                          // 16 random bytes
    {
      try {                                       
        MessageDigest digester = MessageDigest.getInstance("MD5");
        long time = Time.now();
        digester.update((new UID()+"@"+time).getBytes());
        sync = digester.digest();
      } catch (Exception e) {
        throw new RuntimeException(e);
      }
    }

二。Record

Writer有三个实现类。分别相应CompressType的NONE，RECOR。BLOCK。以下逐一介绍一下（结合上面的图看）：

1，NONE SequenceFile

Record直接存Record 的长度，KEY的长度，key值，Value的值

2, BlockCompressWriter

/** Append a key/value pair. */
    @Override
    @SuppressWarnings("unchecked")
    public synchronized void append(Object key, Object val)
      throws IOException {
      if (key.getClass() != keyClass)
        throw new IOException("wrong key class: "+key+" is not "+keyClass);
      if (val.getClass() != valClass)
        throw new IOException("wrong value class: "+val+" is not "+valClass);

      // Save key/value into respective buffers 
      int oldKeyLength = keyBuffer.getLength();
      keySerializer.serialize(key);
      int keyLength = keyBuffer.getLength() - oldKeyLength;
      if (keyLength < 0)
        throw new IOException("negative length keys not allowed: " + key);
      WritableUtils.writeVInt(keyLenBuffer, keyLength);//每调一次，都会累加keyLength

      int oldValLength = valBuffer.getLength();
      uncompressedValSerializer.serialize(val);
      int valLength = valBuffer.getLength() - oldValLength;
      WritableUtils.writeVInt(valLenBuffer, valLength);//每调一次，都会累加valLength      
      // Added another key/value pair
      ++noBufferedRecords;
      
      // Compress and flush?

      int currentBlockSize = keyBuffer.getLength() + valBuffer.getLength();
      if (currentBlockSize >= compressionBlockSize) {
      //compressionBlockSize =  conf.getInt("io.seqfile.compress.blocksize", 1000000);
      //超过1000000就会写一个Sync
        sync();
      }
    

超过compressionBlockSize的大小，就会调用sync()方法，以下看看sync的源代码（和上面的图对比）：

会写入和图中所画的各个数据项。

/** Compress and flush contents to dfs */
    @Override
    public synchronized void sync() throws IOException {
      if (noBufferedRecords > 0) {
        super.sync();
        
        // No. of records
        WritableUtils.writeVInt(out, noBufferedRecords);
        
        // Write 'keys' and lengths
        writeBuffer(keyLenBuffer);
        writeBuffer(keyBuffer);
        
        // Write 'values' and lengths
        writeBuffer(valLenBuffer);
        writeBuffer(valBuffer);
        
        // Flush the file-stream
        out.flush();
        
        // Reset internal states
        keyLenBuffer.reset();
        keyBuffer.reset();
        valLenBuffer.reset();
        valBuffer.reset();
        noBufferedRecords = 0;
      }
      
    }

2，RecordCompressWriter

/** Append a key/value pair. */
    @Override
    @SuppressWarnings("unchecked")
    public synchronized void append(Object key, Object val)
      throws IOException {
      if (key.getClass() != keyClass)
        throw new IOException("wrong key class: "+key.getClass().getName()
                              +" is not "+keyClass);
      if (val.getClass() != valClass)
        throw new IOException("wrong value class: "+val.getClass().getName()
                              +" is not "+valClass);

      buffer.reset();

      // Append the 'key'
      keySerializer.serialize(key);
      int keyLength = buffer.getLength();
      if (keyLength < 0)
        throw new IOException("negative length keys not allowed: " + key);

      // Compress 'value' and append it
      deflateFilter.resetState();
      compressedValSerializer.serialize(val);
      deflateOut.flush();
      deflateFilter.finish();

      // Write the record out
      checkAndWriteSync();                                // sync
      out.writeInt(buffer.getLength());                   // total record length record的长度
      out.writeInt(keyLength);                            // key portion length key的长度
      out.write(buffer.getData(), 0, buffer.getLength()); // data 数据
    }

写入Sync：

synchronized void checkAndWriteSync() throws IOException {
      if (sync != null &&
          out.getPos() >= lastSyncPos+SYNC_INTERVAL) { // time to emit sync
        sync();
      }
    }

SYNC_INTERVAL的定义：

  private static final int SYNC_ESCAPE = -1;      // "length" of sync entries
  private static final int SYNC_HASH_SIZE = 16;   // number of bytes in hash 
  private static final int SYNC_SIZE = 4+SYNC_HASH_SIZE; // escape + hash

  /** The number of bytes between sync points.*/
  public static final int SYNC_INTERVAL = 100*SYNC_SIZE; 

每2000个byte，就会写一个Sync。

总结：

Record：存储SequenceFile通用的KV数据格式。Key和Value都是二进制变长的数据。

Record表示Key和Value的byte的总和。

Sync：主要是用来扫描和恢复数据的。以至于读取数据的Reader不会迷失。

Header：存储了例如以下信息：文件标识符SEQ，key和value的格式说明。以及压缩的相关信息。metadata等信息。

metadata：包括文件头所须要的数据：文件标识、Sync标识、数据格式说明(含压缩)、文件元数据(时间、owner、权限等)、检验信息等