02. MapReduce hands-on
Categories:
Installation
Please refer to Install Hive with Docker
MapReduce
Create input/output files & folders
docker-compose exec hive-server bash
root@956bee11e4ec:/my-data/java# hadoop fs -mkdir /user/lco
root@956bee11e4ec:/my-data/java# hadoop fs -mkdir /user/lco/wordcount/
root@956bee11e4ec:/my-data/java# hadoop fs -mkdir /user/lco/wordcount/input
Compile java file
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;
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();
Job job = Job.getInstance(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(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
cd /my-data/java/
export HADOOP_CLASSPATH=${JAVA_HOME}/lib/tools.jar
hadoop com.sun.tools.javac.Main WordCount.java
jar cf wc.jar WordCount*.class
Copy local file to HDFS
root@956bee11e4ec:/my-data/java/# hadoop fs -copyFromLocal /my-data/input/file01 /user/lco/wordcount/input/file01
root@956bee11e4ec:/my-data/java/# hadoop fs -copyFromLocal /my-data/input/file02 /user/lco/wordcount/input/file02
root@956bee11e4ec:/my-data/java/# hadoop fs -ls /user/lco/wordcount/input
Found 2 items
-rw-r--r-- 3 root supergroup 22 2024-01-01 16:49 /user/lco/wordcount/input/file01
-rw-r--r-- 3 root supergroup 28 2024-01-01 16:49 /user/lco/wordcount/input/file02
root@956bee11e4ec:/my-data/java/# hadoop fs -cat /user/lco/wordcount/input/file01
Hello World Bye World
Run the application
hadoop jar wc.jar WordCount /user/lco/wordcount/input /user/lco/wordcount/output
...
root@956bee11e4ec:/my-data/java/# hadoop fs -cat /user/lco/wordcount/output/part-r-00000
Bye 1
Goodbye 1
Hadoop 2
Hello 2
World 2
Source
Last modified January 2, 2024: Knowledge & BigData docs sections (faf4073)