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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.mahout.fpm.pfpgrowth.dataset;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.mahout.common.HadoopUtil;
import org.apache.mahout.common.Parameters;
import org.apache.mahout.common.StringTuple;
public final class KeyBasedStringTupleGrouper {
private KeyBasedStringTupleGrouper() { }
public static void startJob(Parameters params) throws IOException,
InterruptedException,
ClassNotFoundException {
Configuration conf = new Configuration();
conf.set("job.parameters", params.toString());
conf.set("mapred.compress.map.output", "true");
conf.set("mapred.output.compression.type", "BLOCK");
conf.set("mapred.map.output.compression.codec", "org.apache.hadoop.io.compress.GzipCodec");
conf.set("io.serializations", "org.apache.hadoop.io.serializer.JavaSerialization,"
+ "org.apache.hadoop.io.serializer.WritableSerialization");
String input = params.get("input");
Job job = new Job(conf, "Generating dataset based from input" + input);
job.setJarByClass(KeyBasedStringTupleGrouper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(StringTuple.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
FileInputFormat.addInputPath(job, new Path(input));
Path outPath = new Path(params.get("output"));
FileOutputFormat.setOutputPath(job, outPath);
HadoopUtil.delete(conf, outPath);
job.setInputFormatClass(TextInputFormat.class);
job.setMapperClass(KeyBasedStringTupleMapper.class);
job.setCombinerClass(KeyBasedStringTupleCombiner.class);
job.setReducerClass(KeyBasedStringTupleReducer.class);
job.setOutputFormatClass(TextOutputFormat.class);
boolean succeeded = job.waitForCompletion(true);
if (!succeeded) {
throw new IllegalStateException("Job failed!");
}
}
}
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