我有一种情况,即mapper作为自定义类型的对象发出键。 它有两个字段,一个intWritable ID和一个数据数组IntArrayWritable。 实施如下。 `
import java.io.*;
import org.apache.hadoop.io.*;
public class PairDocIdPerm implements WritableComparable<PairDocIdPerm> {
public PairDocIdPerm(){
this.permId = new IntWritable(-1);
this.SignaturePerm = new IntArrayWritable();
}
public IntWritable getPermId() {
return permId;
}
public void setPermId(IntWritable permId) {
this.permId = permId;
}
public IntArrayWritable getSignaturePerm() {
return SignaturePerm;
}
public void setSignaturePerm(IntArrayWritable signaturePerm) {
SignaturePerm = signaturePerm;
}
private IntWritable permId;
private IntArrayWritable SignaturePerm;
public PairDocIdPerm(IntWritable permId,IntArrayWritable SignaturePerm) {
this.permId = permId;
this.SignaturePerm = SignaturePerm;
}
@Override
public void write(DataOutput out) throws IOException {
permId.write(out);
SignaturePerm.write(out);
}
@Override
public void readFields(DataInput in) throws IOException {
permId.readFields(in);
SignaturePerm.readFields(in);
}
@Override
public int hashCode() { // same permId must go to same reducer. there fore just permId
return permId.get();//.hashCode();
}
@Override
public boolean equals(Object o) {
if (o instanceof PairDocIdPerm) {
PairDocIdPerm tp = (PairDocIdPerm) o;
return permId.equals(tp.permId) && SignaturePerm.equals(tp.SignaturePerm);
}
return false;
}
@Override
public String toString() {
return permId + "\t" +SignaturePerm.toString();
}
@Override
public int compareTo(PairDocIdPerm tp) {
int cmp = permId.compareTo(tp.permId);
Writable[] ar, other;
ar = this.SignaturePerm.get();
other = tp.SignaturePerm.get();
if (cmp == 0) {
for(int i=0;i<ar.length;i++){
if(((IntWritable)ar[i]).get() == ((IntWritable)other[i]).get()){cmp= 0;continue;}
else if(((IntWritable)ar[i]).get() < ((IntWritable)other[i]).get()){ return -1;}
else if(((IntWritable)ar[i]).get() > ((IntWritable)other[i]).get()){return 1;}
}
}
return cmp;
//return 1;
}
}`
我要求具有相同Id的密钥与compareTo方法中编码的排序顺序相同的reducer。 但是当我使用它时,我的作业执行状态始终是map100%reduce 0%。 减少永远不会完成。这个实现有什么问题吗? 一般情况下,如果reducer状态始终为0%,则可能出现的问题是什么。
答案 0 :(得分:1)
我认为这可能是read方法中可能的空指针异常:
@Override
public void readFields(DataInput in) throws IOException {
permId.readFields(in);
SignaturePerm.readFields(in);
}
在这种情况下,permId为null。 所以你需要做的是:
IntWritable permId = new IntWritable();
在字段初始化程序中或在读取之前。
但是,您的代码阅读起来很糟糕。