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hadoop-ID的示例分析

发表于：2026-11-02 作者：千家信息网编辑

千家信息网最后更新 2026年11月02日，小编给大家分享一下hadoop-ID的示例分析，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！我们开始来分析Hadoop M

千家信息网最后更新 2026年11月02日hadoop-ID的示例分析

小编给大家分享一下hadoop-ID的示例分析，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！

我们开始来分析Hadoop MapReduce的内部的运行机制。用户向Hadoop提交Job（作业），作业在JobTracker对象的控制下执行。Job被分解成为Task（任务），分发到集群中，在TaskTracker的控制下运行。Task包括MapTask和ReduceTask，是MapReduce的Map操作和Reduce操作执行的地方。这中任务分布的方法比较类似于HDFS中NameNode和DataNode的分工，NameNode对应的是JobTracker，DataNode对应的是TaskTracker。JobTracker，TaskTracker和MapReduce的客户端通过RPC通信，具体可以参考HDFS部分的分析。

我们先来分析一些辅助类，首先是和ID有关的类，ID的继承树如下：

* Licensed to the Apache Software Foundation (ASF) under onepackage org.apache.hadoop.mapreduce;import java.io.DataInput;/** * A general identifier, which internally stores the id * as an integer. This is the super class of {@link JobID},  * {@link TaskID} and {@link TaskAttemptID}. *  * @see JobID * @see TaskID * @see TaskAttemptID */public abstract class ID implements WritableComparable {  protected static final char SEPARATOR = '_';  protected int id;  /** constructs an ID object from the given int */  public ID(int id) {    this.id = id;  }  protected ID() {  }  /** returns the int which represents the identifier */  public int getId() {    return id;  }  @Override  public String toString() {    return String.valueOf(id);  }  @Override  public int hashCode() {    return Integer.valueOf(id).hashCode();  }  @Override  public boolean equals(Object o) {    if (this == o)      return true;    if(o == null)      return false;    if (o.getClass() == this.getClass()) {      ID that = (ID) o;      return this.id == that.id;    }    else      return false;  }  /** Compare IDs by associated numbers */  public int compareTo(ID that) {    return this.id - that.id;  }  public void readFields(DataInput in) throws IOException {    this.id = in.readInt();  }  public void write(DataOutput out) throws IOException {    out.writeInt(id);  }  }

* Licensed to the Apache Software Foundation (ASF) under onepackage org.apache.hadoop.mapreduce;import java.io.DataInput;/** * JobID represents the immutable and unique identifier for  * the job. JobID consists of two parts. First part  * represents the jobtracker identifier, so that jobID to jobtracker map  * is defined. For cluster setup this string is the jobtracker  * start time, for local setting, it is "local". * Second part of the JobID is the job number. 
  * An example JobID is :  * job_200707121733_0003 , which represents the third job  * running at the jobtracker started at 200707121733.  *  * Applications should never construct or parse JobID strings, but rather  * use appropriate constructors or {@link #forName(String)} method.  *  * @see TaskID * @see TaskAttemptID * @see org.apache.hadoop.mapred.JobTracker#getNewJobId() * @see org.apache.hadoop.mapred.JobTracker#getStartTime() */public class JobID extends org.apache.hadoop.mapred.ID                    implements Comparable {  protected static final String JOB = "job";  private final Text jtIdentifier;    protected static final NumberFormat idFormat = NumberFormat.getInstance();  static {    idFormat.setGroupingUsed(false);    idFormat.setMinimumIntegerDigits(4);  }    /**   * Constructs a JobID object    * @param jtIdentifier jobTracker identifier   * @param id job number   */  public JobID(String jtIdentifier, int id) {    super(id);    this.jtIdentifier = new Text(jtIdentifier);  }    public JobID() {     jtIdentifier = new Text();  }    public String getJtIdentifier() {    return jtIdentifier.toString();  }    @Override  public boolean equals(Object o) {    if (!super.equals(o))      return false;    JobID that = (JobID)o;    return this.jtIdentifier.equals(that.jtIdentifier);  }    /**Compare JobIds by first jtIdentifiers, then by job numbers*/  @Override  public int compareTo(ID o) {    JobID that = (JobID)o;    int jtComp = this.jtIdentifier.compareTo(that.jtIdentifier);    if(jtComp == 0) {      return this.id - that.id;    }    else return jtComp;  }    /**   * Add the stuff after the "job" prefix to the given builder. This is useful,   * because the sub-ids use this substring at the start of their string.   * @param builder the builder to append to   * @return the builder that was passed in   */  public StringBuilder appendTo(StringBuilder builder) {    builder.append(SEPARATOR);    builder.append(jtIdentifier);    builder.append(SEPARATOR);    builder.append(idFormat.format(id));    return builder;  }  @Override  public int hashCode() {    return jtIdentifier.hashCode() + id;  }  @Override  public String toString() {    return appendTo(new StringBuilder(JOB)).toString();  }  @Override  public void readFields(DataInput in) throws IOException {    super.readFields(in);    this.jtIdentifier.readFields(in);  }  @Override  public void write(DataOutput out) throws IOException {    super.write(out);    jtIdentifier.write(out);  }    /** Construct a JobId object from given string    * @return constructed JobId object or null if the given String is null   * @throws IllegalArgumentException if the given string is malformed   */  public static JobID forName(String str) throws IllegalArgumentException {    if(str == null)      return null;    try {      String[] parts = str.split("_");      if(parts.length == 3) {        if(parts[0].equals(JOB)) {          return new org.apache.hadoop.mapred.JobID(parts[1],                                                     Integer.parseInt(parts[2]));        }      }    }catch (Exception ex) {//fall below    }    throw new IllegalArgumentException("JobId string : " + str         + " is not properly formed");  }  }

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