package hip.ch7.bloom;
import hip.ch3.avro.AvroBytesRecord;
import hip.util.Cli;
import hip.util.CliCommonOpts;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.mapred.AvroJob;
import org.apache.avro.mapred.AvroOutputFormat;
import org.apache.avro.mapred.AvroWrapper;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
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 org.apache.hadoop.util.bloom.BloomFilter;
import org.apache.hadoop.util.bloom.Key;
import org.apache.hadoop.util.hash.Hash;
import java.io.IOException;
import java.util.Iterator;
public class BloomFilterCreator 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 BloomFilterCreator(), 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(BloomFilterCreator.class);
job.set(AvroJob.OUTPUT_SCHEMA, AvroBytesRecord.SCHEMA.toString());
job.set(AvroJob.OUTPUT_CODEC, SnappyCodec.class.getName());
job.setInputFormat(KeyValueTextInputFormat.class);
job.setOutputFormat(AvroOutputFormat.class);
job.setMapperClass(Map.class);
job.setReducerClass(Reduce.class);
job.setMapOutputKeyClass(NullWritable.class);
job.setMapOutputValueClass(BloomFilter.class);
job.setOutputKeyClass(NullWritable.class);
job.setOutputValueClass(BloomFilter.class);
FileInputFormat.setInputPaths(job, inputPath);
FileOutputFormat.setOutputPath(job, outputPath);
return JobClient.runJob(job).isSuccessful() ? 0 : 1;
}
public static class Map implements
Mapper<Text, Text, NullWritable, BloomFilter> {
private BloomFilter filter =
new BloomFilter(1000, 5, Hash.MURMUR_HASH);
OutputCollector<NullWritable, BloomFilter> collector;
@Override
public void configure(JobConf job) {
}
@Override
public void map(Text key, Text value,
OutputCollector<NullWritable, BloomFilter> output,
Reporter reporter) throws IOException {
System.out.println("K[" + key + "]");
int age = Integer.valueOf(value.toString());
if (age > 30) {
filter.add(new Key(key.toString().getBytes()));
}
collector = output;
}
@Override
public void close() throws IOException {
System.out.println(filter);
collector.collect(NullWritable.get(), filter);
}
}
public static class Reduce
implements
Reducer<NullWritable, BloomFilter, AvroWrapper<GenericRecord>,
NullWritable> {
private BloomFilter filter = new BloomFilter(1000, 5, Hash.MURMUR_HASH);
OutputCollector<AvroWrapper<GenericRecord>, NullWritable>
collector;
@Override
public void reduce(NullWritable key, Iterator<BloomFilter> values,
OutputCollector<AvroWrapper<GenericRecord>,
NullWritable> output,
Reporter reporter) throws IOException {
while (values.hasNext()) {
BloomFilter bf = values.next();
filter.or(bf);
System.out.println(filter);
}
collector = output;
}
@Override
public void close() throws IOException {
System.out.println(filter);
if (collector != null) {
collector.collect(
new AvroWrapper<GenericRecord>(
AvroBytesRecord.toGenericRecord(filter)),
NullWritable.get());
}
}
@Override
public void configure(JobConf job) {
}
}
}