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Covid19_1.java
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Covid19_1.java
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//hadoop jar Covid19_1.jar /covid19_full_data.csv false /Covid19_1_false
//hadoop jar Covid19_1.jar /covid19_full_data.csv true /Covid19_1_true
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 Covid19_1 {
public class wordCountConstant{
public static final int date = 0;
public static final int country = 1;
public static final int new_cases = 2;
public static final int new_deaths = 3;
}
static int flag;
public static class TokenizerMapper
extends Mapper<Object, Text, Text, IntWritable>{
Text add_country = new Text();
IntWritable add_new_cases = new IntWritable();
public void map(Object key, Text value, Context context
) throws IOException, InterruptedException {
String[] line = value.toString().split(",");
if(line[2].equals("new_cases")) {
return;
}
if(!line[wordCountConstant.date].equals("2019-12-31"))
{
add_country.set(line[wordCountConstant.country]);
add_new_cases.set(Integer.parseInt(line[wordCountConstant.new_cases]));
context.write(add_country, add_new_cases);
}
// StringTokenizer itr = new StringTokenizer(value.toString());
// while (itr.hasMoreTokens()) {
// word.set(itr.nextToken());
// context.write(word, one);
// }
}
}
public static class TokenMapper
extends Mapper<Object, Text, Text, IntWritable>{
Text add_country = new Text();
IntWritable add_new_cases = new IntWritable();
public void map(Object key, Text value, Context context
) throws IOException, InterruptedException {
String[] line = value.toString().split(",");
if(line[2].equals("new_cases")) {
return;
}
if(!line[wordCountConstant.date].equals("2019-12-31"))
{
if(!line[wordCountConstant.country].equals("World"))
{
add_country.set(line[wordCountConstant.country]);
add_new_cases.set(Integer.parseInt(line[wordCountConstant.new_cases]));
context.write(add_country, add_new_cases);
}
}
// 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 country, Iterable<IntWritable> new_cases,
Context context
) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : new_cases) {
sum += val.get();
}
result.set(sum);
context.write(country, result);
}
}
public static void main(String[] args) throws Exception {
if(args[1].equals("true"))
{
flag=1;
}
Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "Covid19_1");
job.setJarByClass(Covid19_1.class);
if(args[1].equals("true"))
{
job.setMapperClass(TokenizerMapper.class);
}
else if(args[1].equals("false"))
{
job.setMapperClass(TokenMapper.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[2]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}