package hip.ch3.parquet;
import hip.ch3.avro.gen.Stock;
import hip.ch3.avro.gen.StockAvg;
import hip.util.Cli;
import hip.util.CliCommonOpts;
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.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.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import parquet.avro.AvroParquetInputFormat;
import parquet.avro.AvroParquetOutputFormat;
import java.io.IOException;
public class AvroParquetMapReduce 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 AvroParquetMapReduce(), 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();
Job job = new Job(conf);
job.setJarByClass(AvroParquetMapReduce.class);
job.setInputFormatClass(AvroParquetInputFormat.class);
AvroParquetInputFormat.setInputPaths(job, inputPath);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(DoubleWritable.class);
job.setOutputFormatClass(AvroParquetOutputFormat.class);
FileOutputFormat.setOutputPath(job, outputPath);
AvroParquetOutputFormat.setSchema(job, StockAvg.SCHEMA$);
return job.waitForCompletion(true) ? 0 : 1;
}
public static class Map extends Mapper<Void, Stock, Text, DoubleWritable> {
@Override
public void map(Void key,
Stock value,
Context context) throws IOException, InterruptedException {
context.write(new Text(value.getSymbol().toString()),
new DoubleWritable(value.getOpen()));
}
}
public static class Reduce extends Reducer<Text, DoubleWritable, Void, StockAvg> {
@Override
protected void reduce(Text key, Iterable<DoubleWritable> values, Context context) throws IOException, InterruptedException {
Mean mean = new Mean();
for (DoubleWritable val : values) {
mean.increment(val.get());
}
StockAvg avg = new StockAvg();
avg.setSymbol(key.toString());
avg.setAvg(mean.getResult());
context.write(null, avg);
}
}
}