hadoop SplittableCompressionCodec 源码

  • 2022-10-20
  • 浏览 (360)

haddop SplittableCompressionCodec 代码

文件路径:/hadoop-common-project/hadoop-common/src/main/java/org/apache/hadoop/io/compress/SplittableCompressionCodec.java

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.io.compress;

import java.io.IOException;
import java.io.InputStream;

import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;


/**
 * This interface is meant to be implemented by those compression codecs
 * which are capable to compress / de-compress a stream starting at any
 * arbitrary position.
 *
 * Especially the process of de-compressing a stream starting at some arbitrary
 * position is challenging.  Most of the codecs are only able to successfully
 * de-compress a stream, if they start from the very beginning till the end.
 * One of the reasons is the stored state at the beginning of the stream which
 * is crucial for de-compression.
 *
 * Yet there are few codecs which do not save the whole state at the beginning
 * of the stream and hence can be used to de-compress stream starting at any
 * arbitrary points.  This interface is meant to be used by such codecs.  Such
 * codecs are highly valuable, especially in the context of Hadoop, because
 * an input compressed file can be split and hence can be worked on by multiple
 * machines in parallel.
 */
@InterfaceAudience.Public
@InterfaceStability.Evolving
public interface SplittableCompressionCodec extends CompressionCodec {

  /**
   * During decompression, data can be read off from the decompressor in two
   * modes, namely continuous and blocked.  Few codecs (e.g. BZip2) are capable
   * of compressing data in blocks and then decompressing the blocks.  In
   * Blocked reading mode codecs inform 'end of block' events to its caller.
   * While in continuous mode, the caller of codecs is unaware about the blocks
   * and uncompressed data is spilled out like a continuous stream.
   */
  public enum READ_MODE {CONTINUOUS, BYBLOCK};

  /**
   * Create a stream as dictated by the readMode.  This method is used when
   * the codecs wants the ability to work with the underlying stream positions.
   *
   * @param decompressor decompressor.
   * @param seekableIn  The seekable input stream (seeks in compressed data)
   * @param start The start offset into the compressed stream. May be changed
   *              by the underlying codec.
   * @param end The end offset into the compressed stream. May be changed by
   *            the underlying codec.
   * @param readMode Controls whether stream position is reported continuously
   *                 from the compressed stream only only at block boundaries.
   * @return  a stream to read uncompressed bytes from
   * @throws IOException raised on errors performing I/O.
   */
  SplitCompressionInputStream createInputStream(InputStream seekableIn,
      Decompressor decompressor, long start, long end, READ_MODE readMode)
      throws IOException;

}

相关信息

hadoop 源码目录

相关文章

hadoop AlreadyClosedException 源码

hadoop BZip2Codec 源码

hadoop BlockCompressorStream 源码

hadoop BlockDecompressorStream 源码

hadoop CodecConstants 源码

hadoop CodecPool 源码

hadoop CompressionCodec 源码

hadoop CompressionCodecFactory 源码

hadoop CompressionInputStream 源码

hadoop CompressionOutputStream 源码

0  赞