package hip.ch4;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import hip.ch3.StockPriceWritable;
import hip.util.Cli;
import org.apache.hadoop.conf.Configurable;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import java.io.IOException;
import java.util.List;
import static hip.util.CliCommonOpts.IOOptions;
/**
* A job which uses a custom partitioner to partition across reducers.
*/
public final class CustomPartitionerJob 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 CustomPartitionerJob(), 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(IOOptions.values()).build();
int result = cli.runCmd();
if (result != 0) {
return result;
}
Path input = new Path(cli.getArgValueAsString(IOOptions.INPUT));
Path output = new Path(cli.getArgValueAsString(IOOptions.OUTPUT));
Configuration conf = super.getConf();
List<String> dates = Lists.newArrayList("2000-01-03",
"2001-01-02", "2002-01-02", "2003-01-02", "2004-01-02",
"2005-01-03", "2006-01-03", "2007-01-03", "2008-01-02",
"2009-01-02");
for (int partition = 0; partition < dates.size(); partition++) {
DatePartitioner.addPartitionToConfig(conf,
dates.get(partition), partition);
}
Job job = new Job(conf);
job.setJarByClass(CustomPartitionerJob.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reducer.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(Text.class);
job.setPartitionerClass(DatePartitioner.class);
FileInputFormat.setInputPaths(job, input);
FileOutputFormat.setOutputPath(job, output);
job.setNumReduceTasks(10);
return job.waitForCompletion(true) ? 0 : 1;
}
/**
* The mapper, which extracts the stock date and emits it as the key.
*/
public static class Map extends Mapper<LongWritable, Text, Text, Text> {
private Text date = new Text();
@Override
protected void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
StockPriceWritable stock =
StockPriceWritable.fromLine(value.toString());
date.set(stock.getDate());
context.write(date, value);
}
}
public static class DatePartitioner extends Partitioner<Text, Text> implements Configurable {
public static final String CONF_PARTITIONS = "partition.map";
public static final String PARTITION_DELIM = ":";
private Configuration conf;
private java.util.Map<Text, Integer> datePartitions =
Maps.newHashMap();
public static void addPartitionToConfig(Configuration conf, String date, int partition) {
String addition = String.format("%s%s%d", date, PARTITION_DELIM, partition);
String existing = conf.get(CONF_PARTITIONS);
conf.set(CONF_PARTITIONS, existing == null
? addition : existing + "," + addition);
}
@Override
public int getPartition(Text date, Text stock, int numPartitions) {
return datePartitions.get(date);
}
@Override
public void setConf(Configuration conf) {
this.conf = conf;
for (String partition : conf.getStrings(CONF_PARTITIONS)) {
String[] parts = partition.split(PARTITION_DELIM);
datePartitions.put(new Text(parts[0]),
Integer.valueOf(parts[1]));
}
}
@Override
public Configuration getConf() {
return conf;
}
}
}