job.setmapperclass报错
时间: 2023-07-25 07:13:23 浏览: 64
如果您在使用 Hadoop MapReduce 进行开发时,调用 `job.setMapperClass` 时出现错误,请检查以下几点:
1. 是否正确导入了 `org.apache.hadoop.mapreduce.Job` 类和 `org.apache.hadoop.mapreduce.Mapper` 类。
2. 是否正确继承了 Mapper 类,且实现了 `map` 函数。例如:
```java
public static class MyMapper extends Mapper<LongWritable, Text, Text, IntWritable>{
@Override
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
// TODO: 实现 map 函数
}
}
```
3. 是否正确设置了 Mapper 类,例如:
```java
Job job = new Job(conf, "myjob");
job.setMapperClass(MyMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
```
如果您已经检查了以上几点,仍然无法解决问题,请提供更多详细信息,我会尽力帮助您解决问题。
相关问题
Configuration conf = new Configuration(); Job job = Job.getInstance(conf, "word count"); job.setJarByClass(WordCountDriver.class); job.setMapperClass(WordCountMapper.class); job.setCombinerClass(WordCountReducer.class); job.setReducerClass(WordCountReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); System.exit(job.waitForCompletion(true) ? 0 : 1);
这是一个使用Hadoop MapReduce框架实现的Word Count程序的驱动程序代码。其中`job.setMapperClass(WordCountMapper.class)`指定了Map阶段使用的Mapper类,`job.setReducerClass(WordCountReducer.class)`指定了Reduce阶段使用的Reducer类,`FileInputFormat.addInputPath(job, new Path(args[0]))`指定输入路径,`FileOutputFormat.setOutputPath(job, new Path(args[1]))`指定输出路径。程序最后调用`job.waitForCompletion(true)`提交作业并等待作业完成,`System.exit(job.waitForCompletion(true) ? 0 : 1)`表示当作业完成时退出程序并返回0,否则返回1。
package wc; import java.io.IOException; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; public class WordCountMain { public static void main(String[] args) throws Exception{ // TODO Auto-generated method stub Configuration conf = new Configuration(); conf.set("fs.default.name","hdfs://localhost:9000"); String[] otherArgs = new String[]{"input","output"}; /* 直接设置输入参数 */ if (otherArgs.length != 2) { System.err.println("Usage: wordcount <in><out>"); System.exit(2); } Job job = Job.getInstance(conf,"Merge and duplicate removal"); job.setJarByClass(WordCountMapper.class); job.setMapperClass(Map.class); job.setCombinerClass(WordCountReduce.class); job.setReducerClass(WordCountReduce.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(Text.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } } package wc; import java.io.IOException; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.io.Text; public class WordCountMapper{ public static class Map extends Mapper<Object, Text, Text, Text>{ private static Text text = new Text(); public void map(Object key, Text value, Context context) throws IOException,InterruptedException{ text = value; context.write(text, new Text("")); } } } job.setmapperclass出错
在您的代码中,您定义了一个名为 WordCountMapper 的类,该类实际上应该是一个 Mapper 类,并且应该继承 Mapper 接口。但是,在您的代码中,WordCountMapper 类没有继承 Mapper 接口,因此在设置 Mapper 类时出现了错误。
您需要将 WordCountMapper 类修改为一个 Mapper 类,并且让它继承 Mapper 接口,如下所示:
```
package wc;
import java.io.IOException;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.io.Text;
public class WordCountMapper extends Mapper<Object, Text, Text, Text> {
private static Text text = new Text();
public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
text = value;
context.write(text, new Text(""));
}
}
```
然后,您需要将 `job.setMapperClass(Map.class)` 修改为 `job.setMapperClass(WordCountMapper.class)`,以设置正确的 Mapper 类。