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java - Hadoop:不支持的名称:具有方案但相对路径部分错误

转载 作者:行者123 更新时间:2023-12-02 21:23:16 25 4
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我正在尝试在Java中运行一个简单的 mapreduce ,但出现此错误:

Unsupported name: has scheme but relative path-part



如何更正自己的 代码或我的 Hadoop 使其正常运行?

让我知道是否需要提供更多信息。

我将文件复制到/ in文件夹中,如下所示:
hadoop fs -copyFromLocal c:\hwork\recipeitems-latest.json /in

我已经更改了 / in 文件夹的权限:
hadoop fs -chmod -R 777 /in

我基本上是在提示符下执行此命令(是的,我现在正在使用Windows):
hadoop jar c:\hwork\Recipe.jar Recipe /in /out

JAVA代码:
import java.io.IOException;

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.Mapper;
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;

import com.google.gson.Gson;
public class Recipe {

public static class TokenizerMapper
extends Mapper<Object, Text, Text, IntWritable>{

private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
Gson gson = new Gson();
public void map(Object key, Text value, Context context
) throws IOException, InterruptedException {
/* StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
} */


Roo roo=gson.fromJson(value.toString(),Roo.class);
if(roo.cookTime!=null)
{
word.set(roo.cookTime);
}
else
{
word.set("none");
}
context.write(word, one);
}
}

public static class IntSumReducer
extends Reducer<Text,IntWritable,Text,IntWritable> {
private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable<IntWritable> values,
Context context
) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}

public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
/* for ( String string : otherArgs) {
System.out.println(string);
}*/
if (otherArgs.length != 2) {
System.err.println("Usage: recipe <in> <out>");
System.exit(2);
}
@SuppressWarnings("deprecation")
Job job = new Job(conf, "Recipe");

job.setJarByClass(Recipe.class);
job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class);
job.setReducerClass(IntSumReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
// FileInputFormat.addInputPath(job, new Path("hdfs://127.0.0.1:9000/in"));
// FileOutputFormat.setOutputPath(job, new Path("hdfs://127.0.0.1:9000/out"));
System.exit(job.waitForCompletion(true) ? 0 : 1);
// job.submit();
}
}

class Id
{

public String oid;
}


class Ts
{

public long date ;
}

class Roo
{

public Id _id ;

public String name ;

public String ingredients ;

public String url ;

public String image ;

public Ts ts ;

public String cookTime;

public String source ;

public String recipeYield ;
public String datePublished;

public String prepTime ;

public String description;
}

最佳答案

如何使用Roo初始化roo的值roo = gson.fromJson(value.toString(),Roo.class)。

另外,能否请您提供驱动程序代码中传递的输入文件的示例列表。

关于java - Hadoop:不支持的名称:具有方案但相对路径部分错误,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/36819404/

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