Java tutorial
/* Copyright 2013 Future TV, Inc. * * Licensed 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 tv.icntv.grade.film.recommend; import com.google.common.primitives.Floats; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.PathFilter; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.SequenceFileInputFormat; import org.apache.hadoop.util.ToolRunner; import org.apache.mahout.common.HadoopUtil; import org.apache.mahout.common.iterator.sequencefile.PathType; import tv.icntv.grade.film.core.AbstractJob; import tv.icntv.grade.film.utils.HadoopUtils; import tv.icntv.grade.film.utils.MapReduceUtils; import java.util.Date; /** * Created with IntelliJ IDEA. * User: xiaowu lei * Date: 13-12-6 * Time: ?9:21 */ public class CorrelateResultJob extends AbstractJob { @Override public int run(String[] strings) throws Exception { Configuration configuration = super.getConf(); String output = strings[0] + "/frequentpatterns"; long count = HadoopUtils.count(new Path(output), new PathFilter() { @Override public boolean accept(Path path) { return path.getName().matches("part-r-\\d*"); //To change body of implemented methods use File | Settings | File Templates. } }); System.out.println("count =" + count); if (count == 0) { return 1; } configuration.setLong("icntv.correlate.total.size", count); Job result = new Job(configuration, "correlate result calculate"); MapReduceUtils.initMapperJob(CorrelateInputMapper.class, Text.class, Text.class, this.getClass(), result, new Path(output)); result.setInputFormatClass(SequenceFileInputFormat.class); // TableMapReduceUtil.initTableReducerJob(""); MapReduceUtils.initReducerJob(new Path(strings[1]), CorrelateOutPutReducer.class, result); result.waitForCompletion(true); return 0; //To change body of implemented methods use File | Settings | File Templates. } public static void main(String[] args) throws Exception { Configuration configuration = HBaseConfiguration.create(); configuration.addResource("grade.xml"); if (null == args || args.length == 0 || args.length != 2) { System.out.println( "parameter <minSupport> <minConfidence> \r\n default minSupport=0.0002 \t minConfidence = 0.3"); } else { configuration.set("correlate.result.minSup", args[0]); configuration.set("correlate.result.conf", args[1]); } ToolRunner.run(configuration, new CorrelateResultJob(), new String[] { String.format(configuration.get("icntv.correlate.fp.growth.output"), new Date()), // "patterns", // "output"}); String.format(configuration.get("icntv.correlate.output"), new Date()) }); } }