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package eu.dnetlib.iis.core.examples.javamapreduce;
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//package eu.dnetlib.iis.core.examples.mapreduce;
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//
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//import java.io.IOException;
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//
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//import org.apache.avro.mapred.AvroMapper;
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//import org.apache.avro.mapred.Pair;
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//import org.apache.hadoop.io.BytesWritable;
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//import org.apache.hadoop.io.Text;
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//import org.apache.hadoop.mapred.JobConf;
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//import org.apache.hadoop.mapreduce.Mapper;
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//import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs;
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//
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//import eu.dnetlib.iis.io.MapRedUtils;
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//import eu.dnetlib.iis.core.examples.protobuf.generated.PersonProto.Person;
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//
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///**
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// * Mapper writing to multiple output splitting data by age.
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// * @author mhorst
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// *
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// */
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//public class AvroPersonByAgeSplitter extends AvroMapper<Person, Pair<String, Person>> {
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//
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// private String namedOutputPersonEvenAge;
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// private String namedOutputPersonOddAge;
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//
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// @SuppressWarnings("rawtypes")
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// private MultipleOutputs mos = null;
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//
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// /* (non-Javadoc)
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// * @see org.apache.hadoop.mapreduce.Mapper#setup(org.apache.hadoop.mapreduce.Mapper.Context)
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// */
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// @SuppressWarnings({ "rawtypes", "unchecked" })
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// @Override
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// protected void setup(Context context) throws IOException,
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// InterruptedException {
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// this.namedOutputPersonEvenAge = conf.get(
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// "named.output.person.age.even");
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// this.namedOutputPersonOddAge = conf.get(
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// "named.output.person.age.odd");
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// this.mos = new MultipleOutputs(context);
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// }
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//
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// /** This is the place you can access map-reduce workflow node parameters */
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// @Override
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// public void configure(JobConf jobConf) {
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// this.namedOutputPersonEvenAge = jobConf.get(
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// "named.output.person.age.even");
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// this.namedOutputPersonOddAge = jobConf.get(
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// "named.output.person.age.odd");
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// this.mos = new MultipleOutputs(jobConf);
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// }
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//
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// /* (non-Javadoc)
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// * @see org.apache.hadoop.mapreduce.Mapper#cleanup(org.apache.hadoop.mapreduce.Mapper.Context)
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// */
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// @Override
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// public void cleanup(Context context) throws IOException, InterruptedException {
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// mos.close();
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// }
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//
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// /* (non-Javadoc)
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// * @see org.apache.hadoop.mapreduce.Mapper#map(KEYIN, VALUEIN, org.apache.hadoop.mapreduce.Mapper.Context)
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// */
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// @Override
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// public void map(Text key, BytesWritable value, Context context)
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// throws IOException, InterruptedException {
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// Person person = MapRedUtils.parse(Person.class, key, value);
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// if (person.getAge()%2==0) {
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// MapRedUtils.write(mos, namedOutputPersonEvenAge, person);
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// } else {
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// MapRedUtils.write(mos, namedOutputPersonOddAge, person);
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// }
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// }
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//
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//}
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