Hadoop的 - 异常的线程和QUOT;主"显示java.lang.NullPointerException [英] Hadoop - Exception in thread "main" java.lang.NullPointerException
问题描述
我想通过本教程使用Apache的Hadoop的Windows平台:的http://www.$c$cproject.com/Articles/757934/Apache-Hadoop-for-Windows-Platform?fid=1858035,日食的一部分。一切都很好走,直到最后一步。当运行程序我得到:
log4j的:警告没有附加目的地可以为记录器(org.apache.hadoop.metrics2.lib.MutableMetricsFactory)中找到
I am trying to use Apache Hadoop for Windows Platform through this tutorial: http://www.codeproject.com/Articles/757934/Apache-Hadoop-for-Windows-Platform?fid=1858035, the eclipse part. Everything is going fine until the last step. When running the program I got: log4j:WARN No appenders could be found for logger (org.apache.hadoop.metrics2.lib.MutableMetricsFactory).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
Exception in thread "main" java.lang.NullPointerException
at java.lang.ProcessBuilder.start(Unknown Source)
at org.apache.hadoop.util.Shell.runCommand(Shell.java:445)
at org.apache.hadoop.util.Shell.run(Shell.java:418)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:650)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:739)
at org.apache.hadoop.util.Shell.execCommand(Shell.java:722)
at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:631)
at org.apache.hadoop.fs.RawLocalFileSystem.mkdirs(RawLocalFileSystem.java:421)
at org.apache.hadoop.fs.FilterFileSystem.mkdirs(FilterFileSystem.java:277)
at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:125)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:348)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1285)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1282)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Unknown Source)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1548)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1282)
at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1303)
at Recipe.main(Recipe.java:82)
在code是:
import java.io.IOException;
import java.util.StringTokenizer;
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();
@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/output"));
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;
}
这只是发生在我试图通过Eclipse来运行它。通过CMD它去罚款:
This happens only when I try to run it through Eclipse. Through CMD it went fine:
javac -classpath C:\hadoop-2.3\share\hadoop\common\hadoop-common-2.3.0.jar;C:\hadoop-2.3\share\hadoop\common\lib\gson-2.2.4.jar;C:\hadoop-2.3\share\hadoop\common\lib\commons-cli-1.2.jar;C:\hadoop-2.3\share\hadoop\mapreduce\hadoop-mapreduce-client-core-2.3.0.jar;Recipe.java
jar -cvf Recipe.jar *.class
hadoop jar c:\Hwork\Recipe.jar Recipe /in /out
任何想法,我怎么能解决这个问题?
Any idea how can I solve this?
推荐答案
我从这里同样的问题和解决方法的 http://qnalist.com/questions/4994960/run-spark-unit-test-on-windows-7 固定它。
I had the same problem and workaround from here http://qnalist.com/questions/4994960/run-spark-unit-test-on-windows-7 fixed it.
解决方法是:
- 下载编译winutils.exe
https://开头codeload.github.com / src目录codeS / Hadoop的共同-2.2.0-斌/拉链/主 - 将此文件放在D:\\ winutil \\ BIN
- 添加到您的code:
System.setProperty(hadoop.home.dir,D:\\ winutil \\)
从
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