我是 Hadoop 和 Java 的新手，我觉得我缺少一些明显的东西。如果这意味着什么，我正在使用 Hadoop 1.0.3。

我使用 hadoop 的目标是获取一堆文件并一次解析一个文件(而不是逐行解析)。每个文件都会产生多个键值，但其他行的上下文很重要。键和值是多值/复合的，所以我为键实现了 WritableCompare，为值实现了 Writable。因为每个文件的处理都需要一点 CPU，所以我想保存映射器的输出，然后再运行多个 reducer。

对于复合键，我遵循了[http://stackoverflow.com/questions/12427090/hadoop-composite-key][1]

问题是，输出只是 Java 对象引用，而不是复合键和值。例子: LinkKeyWritable@bd2f9730 LinkValueWritable@8752408c

我不确定问题是否与根本不减少数据有关，或者

这是我的主要类(class):

public static void main(String[] args) throws Exception {
  JobConf conf = new JobConf(Parser.class);
  conf.setJobName("raw_parser");

  conf.setOutputKeyClass(LinkKeyWritable.class);
  conf.setOutputValueClass(LinkValueWritable.class);

  conf.setMapperClass(RawMap.class);
  conf.setNumMapTasks(0);

  conf.setInputFormat(PerFileInputFormat.class);
  conf.setOutputFormat(TextOutputFormat.class);

  PerFileInputFormat.setInputPaths(conf, new Path(args[0]));
  FileOutputFormat.setOutputPath(conf, new Path(args[1]));

  JobClient.runJob(conf);
}

还有我的 Mapper 类:

公共(public)类 RawMap 扩展 MapReduceBase 实现 映射器 {

    public void map(NullWritable key, Text value,
            OutputCollector<LinkKeyWritable, LinkValueWritable> output,
            Reporter reporter) throws IOException {
        String json = value.toString();
        SerpyReader reader = new SerpyReader(json);
        GoogleParser parser = new GoogleParser(reader);
        for (String page : reader.getPages()) {
            String content = reader.readPageContent(page);
            parser.addPage(content);
        }
        for (Link link : parser.getLinks()) {
            LinkKeyWritable linkKey = new LinkKeyWritable(link);
            LinkValueWritable linkValue = new LinkValueWritable(link);
            output.collect(linkKey, linkValue);
        }
    }
}

Link 基本上是在 LinkKeyWritable 和 LinkValueWritable 之间拆分的各种信息的结构

LinkKeyWritable:

public class LinkKeyWritable implements WritableComparable<LinkKeyWritable>{
    protected Link link;

    public LinkKeyWritable() {
        super();
        link = new Link();
    }

    public LinkKeyWritable(Link link) {
        super();
        this.link = link;
    }

    @Override
    public void readFields(DataInput in) throws IOException {
        link.batchDay = in.readLong();
        link.source = in.readUTF();
        link.domain = in.readUTF();
        link.path = in.readUTF();
    }

    @Override
    public void write(DataOutput out) throws IOException {
        out.writeLong(link.batchDay);
        out.writeUTF(link.source);
        out.writeUTF(link.domain);
        out.writeUTF(link.path);
    }

    @Override
    public int compareTo(LinkKeyWritable o) {
        return ComparisonChain.start().
                compare(link.batchDay, o.link.batchDay).
                compare(link.domain, o.link.domain).
                compare(link.path, o.link.path).
                result();
    }

    @Override
    public int hashCode() {
        return Objects.hashCode(link.batchDay, link.source, link.domain, link.path);
    }

    @Override
    public boolean equals(final Object obj){
        if(obj instanceof LinkKeyWritable) {
            final LinkKeyWritable o = (LinkKeyWritable)obj;
            return Objects.equal(link.batchDay, o.link.batchDay)
                    && Objects.equal(link.source, o.link.source)
                    && Objects.equal(link.domain, o.link.domain)
                    && Objects.equal(link.path, o.link.path);
        }
        return false;
    }
}

链接值可写:

public class LinkValueWritable implements Writable{
    protected Link link;

    public LinkValueWritable() {
        link = new Link();
    }

    public LinkValueWritable(Link link) {
        this.link = new Link();
        this.link.type = link.type;
        this.link.description = link.description;
    }

    @Override
    public void readFields(DataInput in) throws IOException {
        link.type = in.readUTF();
        link.description = in.readUTF();
    }

    @Override
    public void write(DataOutput out) throws IOException {
        out.writeUTF(link.type);
        out.writeUTF(link.description);
    }

    @Override
    public int hashCode() {
        return Objects.hashCode(link.type, link.description);
    }

    @Override
    public boolean equals(final Object obj){
        if(obj instanceof LinkKeyWritable) {
            final LinkKeyWritable o = (LinkKeyWritable)obj;
            return Objects.equal(link.type, o.link.type)
                    && Objects.equal(link.description, o.link.description);
        }
        return false;
    }
}

最佳答案

我认为答案在于 TextOutputFormat 的实现中.具体来说，LineRecordWriter 的 writeObject 方法:

/**
 * Write the object to the byte stream, handling Text as a special
 * case.
 * @param o the object to print
 * @throws IOException if the write throws, we pass it on
 */
private void writeObject(Object o) throws IOException {
  if (o instanceof Text) {
    Text to = (Text) o;
    out.write(to.getBytes(), 0, to.getLength());
  } else {
    out.write(o.toString().getBytes(utf8));
  }
}

如您所见，如果您的键或值不是 Text 对象，它会调用其上的 toString 方法并将其写出。由于您在键和值中未实现 toString，因此它使用的是 Object 类的实现，它正在写出引用。

我会说您应该尝试编写适当的 toString 函数或使用不同的 OutputFormat。

关于hadoop - 自定义 WritableCompare 将对象引用显示为输出，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/12937581/