package de.l3s.common.features.hadoop.movingaverage;
import java.util.ArrayList;
import java.util.List;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hadoop.mapred.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import de.l3s.common.models.timeseries.TimeseriesDataPoint;
import de.l3s.common.models.timeseries.TimeseriesKey;
/**
*
* MovingAverageJob
*
* This is the main job class of the Map Reduce job.
*
* From here we wire together the Map, Reduce, Partition, and Writable classes.
*
* @author jpatterson
*
*/
public class MovingAverageJob extends Configured implements Tool {
@Override
public int run(String[] args) throws Exception {
System.out.println("\n\nMovingAverageJob\n");
JobConf conf = new JobConf(getConf(), MovingAverageJob.class);
conf.setJobName("MovingAverageJob");
conf.setMapOutputKeyClass(TimeseriesKey.class);
conf.setMapOutputValueClass(TimeseriesDataPoint.class);
//conf.setMapperClass(MovingAverageMapper.class);
//conf.setReducerClass(MovingAverageReducer.class);
//conf.setPartitionerClass(NaturalKeyPartitioner.class);
//conf.setOutputKeyComparatorClass(CompositeKeyComparator.class);
//conf.setOutputValueGroupingComparator(NaturalKeyGroupingComparator.class);
/*
List<String> other_args = new ArrayList<String>();
for (int i = 0; i < args.length; ++i) {
try {
if ("-m".equals(args[i])) {
conf.setNumMapTasks(Integer.parseInt(args[++i]));
} else if ("-r".equals(args[i])) {
conf.setNumReduceTasks(Integer.parseInt(args[++i]));
} else if ("-windowSize".equals(args[i])) {
conf.set("tv.floe.caduceus.hadoop.movingaverage.windowSize", args[++i]);
} else if ("-windowStepSize".equals(args[i])) {
conf.set("tv.floe.caduceus.hadoop.movingaverage.windowStepSize", args[++i]);
} else {
other_args.add(args[i]);
}
} catch (NumberFormatException except) {
System.out.println("ERROR: Integer expected instead of "
+ args[i]);
return printUsage();
} catch (ArrayIndexOutOfBoundsException except) {
System.out.println("ERROR: Required parameter missing from "
+ args[i - 1]);
return printUsage();
}
}
// Make sure there are exactly 2 parameters left.
if (other_args.size() != 2) {
System.out.println("ERROR: Wrong number of parameters: "
+ other_args.size() + " instead of 2.");
return printUsage();
}
*/
List<String> other_args = new ArrayList<String>();
for(int i=0; i < args.length; ++i) {
try {
if ("-m".equals(args[i])) {
conf.setNumMapTasks(Integer.parseInt(args[++i]));
} else if ("-r".equals(args[i])) {
conf.setNumReduceTasks(Integer.parseInt(args[++i]));
} else {
other_args.add(args[i]);
}
} catch (NumberFormatException except) {
System.out.println("ERROR: Integer expected instead of " + args[i]);
return printUsage();
} catch (ArrayIndexOutOfBoundsException except) {
System.out.println("ERROR: Required parameter missing from " +
args[i-1]);
return printUsage();
}
}
// Make sure there are exactly 2 parameters left.
if (other_args.size() != 2) {
System.out.println("ERROR: Wrong number of parameters: " +
other_args.size() + " instead of 2.");
return printUsage();
}
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
conf.setCompressMapOutput(true);
FileInputFormat.setInputPaths(conf, other_args.get(0));
FileOutputFormat.setOutputPath(conf, new Path(other_args.get(1)));
JobClient.runJob(conf);
return 0;
}
static int printUsage() {
System.out
.println("MovingAverageJob [-m <maps>] [-r <reduces>] <input> <output>");
ToolRunner.printGenericCommandUsage(System.out);
return -1;
}
public static void main(String[] args) throws Exception {
int res = ToolRunner.run(new Configuration(), new MovingAverageJob(),
args);
System.exit(res);
}
}