我正在尝试从eclipse向jobtracker提交mapreduce作业(在这种情况下,它在本地计算机上运行)
这是代码
package org.myorg;
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.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
public class WordCount {
public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", "hdfs://localhost:8020");
conf.set("mapred.job.tracker", "localhost:8021");
Job job = new Job(conf, "wordcount");
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.addInputPath(job, new Path("hdfs://localhost:8020/tmp/nages/cooper.txt"));
FileOutputFormat.setOutputPath(job, new Path("hdfs://localhost:8020/tmp/nages/output"));
job.setJarByClass(WordCount.class);
job.waitForCompletion(true);
}
}
映射文件
package org.myorg;
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
public class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
while (tokenizer.hasMoreTokens()) {
word.set(tokenizer.nextToken());
context.write(word, one);
}
}
}
Reducer文件
package org.myorg;
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
context.write(key, new IntWritable(sum));
}
}
我收到以下错误
14/09/23 11:09:41 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
14/09/23 11:09:42 WARN mapred.JobClient: Use GenericOptionsParser for parsing the arguments. Applications should implement Tool for the same.
14/09/23 11:09:42 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String).
14/09/23 11:09:42 INFO input.FileInputFormat: Total input paths to process : 1
14/09/23 11:09:42 WARN conf.Configuration: fs.default.name is deprecated. Instead, use fs.defaultFS
14/09/23 11:09:43 INFO mapred.JobClient: Running job: job_201409221650_0012
14/09/23 11:09:44 INFO mapred.JobClient: map 0% reduce 0%
14/09/23 11:09:50 INFO mapred.JobClient: Task Id : attempt_201409221650_0012_m_000000_0, Status : FAILED
java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.myorg.Map not found
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1774)
at org.apache.hadoop.mapreduce.task.JobContextImpl.getMapperClass(JobContextImpl.java:191)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:631)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:330)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
Caused by: java.lang.ClassNotFoundException: Class org.myorg.Map not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1680)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1772)
... 8 more
如何解决这个问题?
答案 0 :(得分:0)
localhost:检查本地Filesystem
中的文件尝试提供HDFS ip而不是localhost
config.set("fs.defaultFS", "hdfs://HDFSclusterip:8020/");
config.set("hadoop.job.ugi", "hdfs");
对于输入/输出
FileInputFormat.addInputPath(job,new 路径( “HDFS:// HDFSclusterip:8020 / TMP /纳热/ cooper.txt”)); FileOutputFormat.setOutputPath(job,new 路径( “HDFS:// HDFSclusterip:8020 / TMP /纳热/输出”));
如果有效,请告诉我。
答案 1 :(得分:-1)
它的jar问题,找不到Map类。 添加到驱动程序代码,job.setJarByClass(WordCount.class);
干杯!