Java tutorial
/* Copyright (c) 2015, Yiju Wei. HAMR is a Frame let you use annotations to describe and execute a MapReduce process. This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; version 2 of the License. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA */ package hamr.core.general.job; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.mapreduce.Job; import hamr.core.general.bean.AnnotedBean; import hamr.core.general.group.GeneralGroupComparator; import hamr.core.general.mapper.GeneralMapper; import hamr.core.general.partitioner.GeneralPartitioner; import hamr.core.general.reducer.GeneralReducer; public class GeneralJob { public static void generalization(Class<? extends AnnotedBean> abClass, Job job) { job.setMapperClass(GeneralMapper.class); job.setPartitionerClass(GeneralPartitioner.class); job.setMapOutputKeyClass(abClass); job.setMapOutputValueClass(NullWritable.class); job.setReducerClass(GeneralReducer.class); job.setGroupingComparatorClass(GeneralGroupComparator.class); } }