hadoop ArrayWritable 源码

  • 2022-10-20
  • 浏览 (225)

haddop ArrayWritable 代码

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

import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.Arrays;

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

/** 
 * A Writable for arrays containing instances of a class. The elements of this
 * writable must all be instances of the same class. If this writable will be
 * the input for a Reducer, you will need to create a subclass that sets the
 * value to be of the proper type.
 *
 * For example:
 * <code>
 * public class IntArrayWritable extends ArrayWritable {
 *   public IntArrayWritable() { 
 *     super(IntWritable.class); 
 *   }	
 * }
 * </code>
 */
@InterfaceAudience.Public
@InterfaceStability.Stable
public class ArrayWritable implements Writable {
  private final Class<? extends Writable> valueClass;
  private Writable[] values;

  public ArrayWritable(Class<? extends Writable> valueClass) {
    if (valueClass == null) { 
      throw new IllegalArgumentException("null valueClass"); 
    }    
    this.valueClass = valueClass;
  }

  public ArrayWritable(Class<? extends Writable> valueClass, Writable[] values) {
    this(valueClass);
    this.values = values;
  }

  public ArrayWritable(String[] strings) {
    this(Text.class, new Writable[strings.length]);
    for (int i = 0; i < strings.length; i++) {
      values[i] = new UTF8(strings[i]);
    }
  }

  public Class<? extends Writable> getValueClass() {
    return valueClass;
  }

  public String[] toStrings() {
    String[] strings = new String[values.length];
    for (int i = 0; i < values.length; i++) {
      strings[i] = values[i].toString();
    }
    return strings;
  }

  public Object toArray() {
    return Arrays.copyOf(values, values.length);
  }

  public void set(Writable[] values) {
    this.values = values;
  }

  public Writable[] get() {
    return values;
  }

  @Override
  public void readFields(DataInput in) throws IOException {
    values = new Writable[in.readInt()];          // construct values
    for (int i = 0; i < values.length; i++) {
      Writable value = WritableFactories.newInstance(valueClass);
      value.readFields(in);                       // read a value
      values[i] = value;                          // store it in values
    }
  }

  @Override
  public void write(DataOutput out) throws IOException {
    out.writeInt(values.length);                 // write values
    for (int i = 0; i < values.length; i++) {
      values[i].write(out);
    }
  }

  @Override
  public String toString() {
    return "ArrayWritable [valueClass=" + valueClass + ", values="
        + Arrays.toString(values) + "]";
  }

}

相关信息

hadoop 源码目录

相关文章

hadoop AbstractMapWritable 源码

hadoop ArrayFile 源码

hadoop ArrayPrimitiveWritable 源码

hadoop BinaryComparable 源码

hadoop BloomMapFile 源码

hadoop BooleanWritable 源码

hadoop BoundedByteArrayOutputStream 源码

hadoop ByteBufferPool 源码

hadoop ByteWritable 源码

hadoop BytesWritable 源码

0  赞