Reputation: 1124
I am trying to create my own version of wordcount and execute it. For that, I am trying to create the wordcount.jar by executing the following command (as described here http://cs.smith.edu/dftwiki/index.php/Hadoop_Tutorial_1_--_Running_WordCount for previous releases than Hadoop-2.*):
javac -classpath /usr/local/hadoop-2.6.0/share/hadoop/common/*:/usr/local/hadoop-2.6.0/share/hadoop/mapreduce/* -d wordcount_classes/ WordCount.java
jar -cvf wordcount.jar -C wordcount_classes/ .
The problem is that I get errors in the first command when trying to compile the wordcount class. In the first command I try to include all the jars that exist in the common and mapreduce directories, because I don't find any jar that has the name "hadoop-0.19.2-core.jar" as described in tutorials I found in the internet for the hadoop-0.*
javac -classpath /home/hadoop/hadoop/hadoop-0.19.2-core.jar -d wordcount_classes WordCount.java
When I execute the given wordcount as follows, it works perfect, but I can't compile my own version:
hadoop jar /usr/local/hadoop-2.6.0/share/hadoop/mapreduce/hadoop-*-examples-2.6.0.jar wordcount input output
I've searched in the internet but I find most of tutorials are for Hadoop-1.* which is different from the 2.6.0 version which does not contain any java source file such as the wordcount.java I need, and also has a completely different structure. Hence, I was obliged to download the wordcount.java file separately from https://github.com/apache/hadoop-common/blob/trunk/hadoop-mapreduce-project/hadoop-mapreduce-examples/src/main/java/org/apache/hadoop/examples/WordCount.java and copy the WordCount.java in the current directory where I execute my commands to create the jar.
I've downloaded Hadoop from this source http://mirror.its.dal.ca/apache/hadoop/common/hadoop-2.6.0/
Here is the details of the errors I get:
/usr/local/hadoop-2.6.0/share/hadoop/common/hadoop-common-2.6.0.jar(org /apache/hadoop/fs/Path.class): warning: Cannot find annotation method 'value()' in type 'LimitedPrivate': class file for org.apache.hadoop.classification.InterfaceAudience not found
WordCount.java:54: error: cannot access Options
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
^
class file for org.apache.commons.cli.Options not found
WordCount.java:68: error: method waitForCompletion in class Job cannot be applied to given types;
System.exit(job.waitForCompletion() ? 0 : 1);
^
required: boolean
found: no arguments
reason: actual and formal argument lists differ in length
Note: WordCount.java uses or overrides a deprecated API.
Note: Recompile with -Xlint:deprecation for details.
2 errors
1 warning
Here is also the WordCount.java :
//package org.apache.hadoop.examples;
package org.myorg;
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;
public class WordCount {
public static class TokenizerMapper
extends Mapper<Object, Text, Text, IntWritable>{
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
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);
}
}
}
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();
if (otherArgs.length != 2) {
System.err.println("Usage: wordcount <in> <out>");
System.exit(2);
}
Job job = new Job(conf, "word count");
job.setJarByClass(WordCount.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]));
System.exit(job.waitForCompletion() ? 0 : 1);
}
}
Thank you in advance for your help
Upvotes: 1
Views: 9333
Reputation: 305
I solved adding to my WordCount project the jar located in: share/hadoop/common/lib/commons-cli-1.2.jar
Upvotes: 1
Reputation: 23
there is small correction at System.exit(job.waitForCompletion() ? 0 : 1); it should be like this System.exit(job.waitForCompletion(true) ? 0 : 1); because it will return boolean value..
Upvotes: 0
Reputation: 1124
I resolved the problem by doing the following (It is even easier now with Hadoop-2.6.0) (see this tutorial for more details http://hadoop.apache.org/docs/current/hadoop-mapreduce-client/hadoop-mapreduce-client-core/MapReduceTutorial.html#Usage):
Add the following to your ~/.profile file (don't forget to execute "source ~/.profile" afterwards):
export JAVA_HOME=/usr/java/default
export PATH=$JAVA_HOME/bin:$PATH
export HADOOP_CLASSPATH=$JAVA_HOME/lib/tools.jar # This is very important to facilitate compilation of your java classes.
I then compile WordCount.java and create a jar:
$ bin/hadoop com.sun.tools.javac.Main WordCount.java
$ jar cf wc.jar WordCount*.class
Then just use a command like this to execute your job:
$ hadoop jar wc.jar WordCount INPUT/ OUTPUT/
Upvotes: 0
Reputation: 398
Try this:
javac --classpath `hadoop classpath` .... (rest of command)
Test on ubuntu and debian.
This work fine for me.
Upvotes: 0
Reputation: 301
This looks more like a Java problem than a Hadoop problem to me. I would recommend to use Eclipse and Hadoop Developer Tools that works with Hadoop version 2.2.0. (unless you specifally need 2.6.0).
Also you may try the %HADOOP_HOME%\share\hadoop\mapreduce\hadoop-mapreduce-client-core-version_number.jar
Also the first error message you get at line 54 may be resolved by implementing org.apache.hadoop.util.Tool
Class info for Tool
I found this info at Apache docs on options.
At line 68 it you're missing an argument for the job.waitForCompletion()
method call. I would suggest to pass a true
argument to this method.
Upvotes: 1