package hip.ch3.avro;
import hip.ch3.avro.gen.Stock;
import hip.ch3.avro.gen.StockAvg;
import hip.util.Cli;
import hip.util.CliCommonOpts;
import org.apache.avro.mapred.AvroInputFormat;
import org.apache.avro.mapred.AvroJob;
import org.apache.avro.mapred.AvroOutputFormat;
import org.apache.avro.mapred.AvroWrapper;
import org.apache.commons.math.stat.descriptive.moment.Mean;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.SnappyCodec;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import java.io.IOException;
import java.util.Iterator;
public class AvroMixedMapReduce extends Configured implements Tool {
/**
* Main entry point for the example.
*
* @param args arguments
* @throws Exception when something goes wrong
*/
public static void main(final String[] args) throws Exception {
int res = ToolRunner.run(new Configuration(), new AvroMixedMapReduce(), args);
System.exit(res);
}
/**
* The MapReduce driver - setup and launch the job.
*
* @param args the command-line arguments
* @return the process exit code
* @throws Exception if something goes wrong
*/
public int run(final String[] args) throws Exception {
Cli cli = Cli.builder().setArgs(args).addOptions(CliCommonOpts.MrIoOpts.values()).build();
int result = cli.runCmd();
if (result != 0) {
return result;
}
Path inputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.INPUT));
Path outputPath = new Path(cli.getArgValueAsString(CliCommonOpts.MrIoOpts.OUTPUT));
Configuration conf = super.getConf();
JobConf job = new JobConf(conf);
job.setJarByClass(AvroMixedMapReduce.class);
job.set(AvroJob.INPUT_SCHEMA, Stock.SCHEMA$.toString());
job.set(AvroJob.OUTPUT_SCHEMA, StockAvg.SCHEMA$.toString());
job.set(AvroJob.OUTPUT_CODEC, SnappyCodec.class.getName());
job.setInputFormat(AvroInputFormat.class);
job.setOutputFormat(AvroOutputFormat.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(DoubleWritable.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(DoubleWritable.class);
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
return JobClient.runJob(job).isSuccessful() ? 0 : 1;
}
public static class Map extends MapReduceBase
implements
Mapper<AvroWrapper<Stock>, NullWritable, Text, DoubleWritable> {
public void map(AvroWrapper<Stock> key,
NullWritable value,
OutputCollector<Text, DoubleWritable> output,
Reporter reporter) throws IOException {
output.collect(new Text(key.datum().getSymbol().toString()),
new DoubleWritable(key.datum().getOpen()));
}
}
public static class Reduce extends MapReduceBase
implements Reducer<Text, DoubleWritable, AvroWrapper<StockAvg>,
NullWritable> {
public void reduce(Text key,
Iterator<DoubleWritable> values,
OutputCollector<AvroWrapper<StockAvg>,
NullWritable> output,
Reporter reporter) throws IOException {
Mean mean = new Mean();
while (values.hasNext()) {
mean.increment(values.next().get());
}
StockAvg avg = new StockAvg();
avg.setSymbol(key.toString());
avg.setAvg(mean.getResult());
output.collect(new AvroWrapper<StockAvg>(avg),
NullWritable.get());
}
}
}