我有一组映射器的化简输入:
(1939, [121, 79, 83, 28])
(1980, [0, 211, −113])
我想得到如下输出:
1939 max:121 min:28 avg: 77.75
如果我在reducer类中不使用以下自定义可写内容,我可以得到它:
public static class MaxTemperatureReducer
extends Reducer<Text, IntWritable, Text, Text> {
Text yearlyValue = new Text();
@Override
public void reduce(Text key, Iterable<IntWritable> values,
Context context)
throws IOException, InterruptedException {
int sum = 0;
int CounterForAvg = 0;
int minValue = Integer.MAX_VALUE;
int maxValue = Integer.MIN_VALUE;
float avg;
for (IntWritable val : values) {
int currentValue = val.get();
sum += currentValue;
CounterForAvg++;
minValue = Math.min(minValue, currentValue);
maxValue = Math.max(maxValue, currentValue);
}
avg = sum / CounterForAvg;
String requiredValue = "max temp:"+maxValue + "\t" +"avg temp: "+ avg + "\t"+ "min temp: " +minValue;
yearlyValue.set(requiredValue);
context.write(key, yearlyValue);
}
}
但是使用customwritable类会产生以下结果:
1939 121
1939 79
1939 83
1939 28
1980 0
1980 211
1980 -113
这是我实现自定义类和减速器的方式。我将可迭代对象发送到自定义类,并在那里进行了计算。我无法弄清楚我在做什么错。我在Java中有0 exp。
public class CompositeWritable implements Writable {
String data = "";
public CompositeWritable() {
}
public CompositeWritable(String data) {
this.data = data;
}
@Override
public void readFields(DataInput in) throws IOException {
data = WritableUtils.readString(in);
}
@Override
public void write(DataOutput out) throws IOException {
WritableUtils.writeString(out, data);
}
public void merge(Iterable<IntWritable> values) {
int sum = 0;
int CounterForAvg = 0;
int minValue = Integer.MAX_VALUE;
int maxValue = Integer.MIN_VALUE;
float avg;
for (IntWritable val : values) {
int currentValue = val.get();
sum += currentValue;
CounterForAvg++;
minValue = Math.min(minValue, currentValue);
maxValue = Math.max(maxValue, currentValue);
}
avg = sum / CounterForAvg;
data = "max temp:"+maxValue + "\t" +"avg temp: "+ avg + "\t"+ "min temp: " +minValue;
}
@Override
public String toString() {
return data;
}
}
public static class MaxTemperatureReducer
extends Reducer<Text, CompositeWritable,Text, Text> {
CompositeWritable out;
Text textYearlyValue = new Text();
public void reduce(Text key, Iterable<IntWritable> values,
Context context)
throws IOException, InterruptedException {
out.merge(values);
String requiredOutput = out.toString();
textYearlyValue.set(requiredOutput);
context.write(key,textYearlyValue );
}
}
我的工作配置如下:
Job job = Job.getInstance(getConf(), "MaxAvgMinTemp");
job.setJarByClass(this.getClass());
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(MaxTemperatureMapper.class);
job.setReducerClass(MaxTemperatureReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
return job.waitForCompletion(true) ? 0 : 1;
答案 0 :(得分:1)
不应要求合并帮助我确定值
可以,但是您没有正确使用它。 out
从未初始化。
CompositeWritable out; // null here
Text textYearlyValue = new Text();
public void reduce(Text key, Iterable<IntWritable> values,
Context context)
throws IOException, InterruptedException {
out.merge(values); // still null, should throw an exception
如果要输出字符串的单行,则可以只使用Text
对象。您的merge(Iterable<IntWritable> values)
方法可以在任何地方使用,它不必在完全独立的类中即可返回可写对象。
但是无论如何,如果练习是学习如何实现自定义可写内容,那么您就可以开始了。
注意事项:
readFields
和write
的顺序必须相同toString
确定使用TextOutputFormat
(默认值)时在减速器输出中看到的内容equals
和hashCode
是为了完整性而添加的(理想情况下,您会实现WritableComparable
,但这实际上仅对键很重要,而对值的影响不大)merge
方法重命名为set
。 您可以期望下面的输出看起来像
1939 MinMaxAvgWritable{min=28, max=121, avg=77.75}
1980 MinMaxAvgWritable{min=-113, max=211, avg=32.67}
public class MinMaxAvgWritable implements Writable {
private int min, max;
private double avg;
private DecimalFormat df = new DecimalFormat("#.00");
@Override
public String toString() {
return "MinMaxAvgWritable{" +
"min=" + min +
", max=" + max +
", avg=" + df.format(avg) +
'}';
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
MinMaxAvgWritable that = (MinMaxAvgWritable) o;
return min == that.min &&
max == that.max &&
avg == that.avg;
}
@Override
public int hashCode() {
return Objects.hash(min, max, avg);
}
@Override
public void write(DataOutput dataOutput) throws IOException {
dataOutput.writeInt(min);
dataOutput.writeInt(max);
dataOutput.writeDouble(avg);
}
@Override
public void readFields(DataInput dataInput) throws IOException {
this.min = dataInput.readInt();
this.max = dataInput.readInt();
this.avg = dataInput.readDouble();
}
public void set(int min, int max, double avg) {
this.min = min;
this.max = max;
this.avg = avg;
}
public void set(Iterable<IntWritable> values) {
this.min = Integer.MAX_VALUE;
this.max = Integer.MIN_VALUE;
int sum = 0;
int count = 0;
for (IntWritable iw : values) {
int i = iw.get();
if (i < this.min) this.min = i;
if (i > max) this.max = i;
sum += i;
count++;
}
this.avg = count < 1 ? sum : (sum / (1.0*count));
}
}
有了这个,减速器非常简单
public class CompositeReducer extends Reducer<Text, IntWritable, Text, MinMaxAvgWritable> {
private final MinMaxAvgWritable output = new MinMaxAvgWritable();
@Override
protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
// This 'set/merge' method could just as easily be defined here, and return a String to be set on a Text object
output.set(values);
context.write(key, output);
}
}
工作就这样设置
// outputs for mapper and reducer
job.setOutputKeyClass(Text.class);
// setup mapper
job.setMapperClass(TokenizerMapper.class); // Replace with your mapper
job.setMapOutputValueClass(IntWritable.class);
// setup reducer
job.setReducerClass(CompositeReducer.class);
job.setOutputValueClass(MinMaxAvgWritable.class); // notice custom writable
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
return job.waitForCompletion(true) ? 0 : 1;