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From Sandeep Jangra <sandeepjan...@gmail.com>
Subject Re: Trouble with Word Count example
Date Thu, 29 Nov 2012 19:21:21 GMT
Yups I can see my class files there.


On Thu, Nov 29, 2012 at 2:13 PM, Kartashov, Andy <Andy.Kartashov@mpac.ca>wrote:

>  Can you try running jar –tvf word_cnt.jar and see if your static nested
> classes WordCount2$Map.class and WordCount2$Reduce.class have actually been
> added to the jar.
>
> * *
>
> *Rgds,*
>
> *AK47*
>
> * *
>
>
>
> *From:* Sandeep Jangra [mailto:sandeepjangra@gmail.com]
> *Sent:* Thursday, November 29, 2012 1:36 PM
> *To:* user@hadoop.apache.org
> *Subject:* Re: Trouble with Word Count example
>
>
>
> Also, I did set the HADOOP_CLASSPATH variable to point to the word_cnt.jar
> only.
>
>
>
> On Thu, Nov 29, 2012 at 10:54 AM, Sandeep Jangra <sandeepjangra@gmail.com>
> wrote:
>
> Thanks for the quick response Mahesh.
>
>
>
> I am using the following command:
>
>
>
> sudo -u hdfs hadoop jar word_cnt.jar WordCount2  /tmp/root/input
> /tmp/root/output15  -libjars=word_cnt.jar
>
> (The input directory exists on the hdfs)
>
>
>
> This is how I compiled and packaged it:
>
>
>
> javac -classpath
> /usr/lib/hadoop-0.20-mapreduce/hadoop-core.jar:/usr/lib/hadoop/*  -d
> word_cnt WordCount2.java
>
> jar -cvf word_cnt.jar -C word_cnt/ .
>
>
>
>
>
>
>
> On Thu, Nov 29, 2012 at 10:46 AM, Mahesh Balija <
> balijamahesh.mca@gmail.com> wrote:
>
> Hi Sandeep,
>
>
>
>            For me everything seems to be alright.
>
>            Can you tell us how are you running this job?
>
>
>
> Best,
>
> Mahesh.B.
>
> Calsoft Labs.
>
> On Thu, Nov 29, 2012 at 9:01 PM, Sandeep Jangra <sandeepjangra@gmail.com>
> wrote:
>
> Hello everyone,
>
>
>
>   Like most others I am also running into some problems while running my
> word count example.
>
>   I tried the various suggestion available on internet, but I guess it;s
> time to go on email :)
>
>
>
>   Here is the error that I am getting:
>
>   12/11/29 10:20:59 WARN mapred.JobClient: Use GenericOptionsParser for
> parsing the arguments. Applications should implement Tool for the same.
>
> 12/11/29 10:20:59 WARN mapred.JobClient: No job jar file set.  User
> classes may not be found. See JobConf(Class) or JobConf#setJar(String).
>
> 12/11/29 10:20:59 INFO input.FileInputFormat: Total input paths to process
> : 1
>
> 12/11/29 10:20:59 INFO util.NativeCodeLoader: Loaded the native-hadoop
> library
>
> 12/11/29 10:20:59 WARN snappy.LoadSnappy: Snappy native library is
> available
>
> 12/11/29 10:20:59 INFO snappy.LoadSnappy: Snappy native library loaded
>
> 12/11/29 10:21:00 INFO mapred.JobClient: Running job: job_201210310210_0040
>
> 12/11/29 10:21:01 INFO mapred.JobClient:  map 0% reduce 0%
>
> 12/11/29 10:21:07 INFO mapred.JobClient: Task Id :
> attempt_201210310210_0040_m_000000_0, Status : FAILED
>
> java.lang.RuntimeException: *java.lang.ClassNotFoundException: Class
> WordCount2$Map *not found
>
> at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1439)
>
> at
> org.apache.hadoop.mapreduce.task.JobContextImpl.getMapperClass(JobContextImpl.java:191)
>
> at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:605)
>
> at org.apache.hadoop.mapred.MapTask.run(MapTask.java:325)
>
> at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
>
> at java.security.AccessController.doPrivileged(Native Method)
>
> at javax.security.auth.Subject.doAs(Subject.java:416)
>
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1232)
>
> at org.apache.hadoop.mapred.Child.main(Child.java:264)
>
> Caused by: java.lang.ClassNotFoundException: Class WordCount2$Map not found
>
> at
> org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:1350)
>
> at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:1437)
>
> ... 8 more
>
>
>
> And here is the source code:
>
>
>
>
>
> import org.apache.hadoop.conf.Configuration;
>
> import org.apache.hadoop.conf.Configured;
>
> import org.apache.hadoop.fs.Path;
>
> import org.apache.hadoop.io.IntWritable;
>
> import org.apache.hadoop.io.LongWritable;
>
> 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.input.TextInputFormat;
>
> import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
>
> import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
>
> import org.apache.hadoop.util.Tool;
>
> import org.apache.hadoop.util.ToolRunner;
>
>
>
> import java.io.IOException;
>
> import java.util.StringTokenizer;
>
>
>
> public class WordCount2 extends Configured implements Tool {
>
>
>
>
>
>     public static class Map extends Mapper<LongWritable, Text, Text,
> IntWritable> {
>
>         private final static IntWritable one = new IntWritable(1);
>
>         private Text word = new Text();
>
>
>
>         @Override
>
>         protected 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);
>
>             }
>
>         }
>
>
>
>     }
>
>
>
>
>
>     public static class Reduce extends Reducer<Text, IntWritable, Text,
> IntWritable> {
>
>
>
>         @Override
>
>         protected void reduce(Text key, Iterable<IntWritable> values,
> Context context) throws IOException, InterruptedException {
>
>
>
>             int sum = 0;
>
>
>
>             for(IntWritable value : values) {
>
>                 sum += value.get();
>
>             }
>
> //                    while (values.hasNext()) {
>
> //                          sum += values.next().get();
>
> //                        }
>
>             context.write(key, new IntWritable(sum));
>
>         }
>
>
>
>     }
>
>
>
>     @Override
>
>     public int run(String[] args) throws Exception {
>
>         Configuration conf = getConf();
>
>         for (java.util.Map.Entry<String, String> entry: conf) {
>
>             System.out.printf("%s=%s\n", entry.getKey(), entry.getValue());
>
>         }
>
>
>
>         System.out.println("arg[0]= "+args[0] + " args[1]= "+ args[1]);
>
>
>
>         Job job = new Job(conf, WordCount2.class.getSimpleName());
>
>         job.setJobName("wordcount2");
>
>         job.setJarByClass(WordCount2.class);
>
>
>
>         job.setMapOutputKeyClass(Text.class);
>
>         job.setMapOutputValueClass(IntWritable.class);
>
>
>
>         job.setOutputKeyClass(Text.class);
>
>         job.setOutputValueClass(IntWritable.class);
>
>
>
>         job.setMapperClass(Map.class);
>
>         job.setCombinerClass(Reduce.class);
>
>         job.setReducerClass(Reduce.class);
>
>
>
>         job.setInputFormatClass(TextInputFormat.class);
>
>         job.setOutputFormatClass(TextOutputFormat.class);
>
>
>
>         FileInputFormat.setInputPaths(job, new Path(args[0]));
>
>         FileOutputFormat.setOutputPath(job, new Path(args[1]));
>
>
>
>         System.exit(job.waitForCompletion(true) ? 0 : 1);
>
>
>
>         return 0;
>
>     }
>
>
>
>
>
>
>
>     public static void main(String[] args) throws Exception {
>
>         int exitCode = ToolRunner.run(new WordCount2(), args);
>
>         System.exit(exitCode);
>
>     }
>
> }
>
>
>
>
>
>
>
>
>
>
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