Java tutorial
/* * Copyright 2013-2014 eBay Software Foundation * * 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 com.kylinolap.job.hadoop.invertedindex; import java.io.IOException; import java.util.HashSet; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FSDataOutputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.hbase.util.Bytes; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.ShortWritable; import org.apache.hadoop.io.Text; import com.kylinolap.common.mr.KylinReducer; import com.kylinolap.common.util.ByteArray; import com.kylinolap.job.constant.BatchConstants; /** * @author yangli9 */ public class IIDistinctColumnsReducer extends KylinReducer<ShortWritable, Text, NullWritable, Text> { private String[] columns; @Override protected void setup(Context context) throws IOException { super.publishConfiguration(context.getConfiguration()); Configuration conf = context.getConfiguration(); this.columns = conf.get(BatchConstants.TABLE_COLUMNS).split(","); } @Override public void reduce(ShortWritable key, Iterable<Text> values, Context context) throws IOException, InterruptedException { String columnName = columns[key.get()]; HashSet<ByteArray> set = new HashSet<ByteArray>(); for (Text textValue : values) { ByteArray value = new ByteArray(Bytes.copy(textValue.getBytes(), 0, textValue.getLength())); set.add(value); } Configuration conf = context.getConfiguration(); FileSystem fs = FileSystem.get(conf); String outputPath = conf.get(BatchConstants.OUTPUT_PATH); FSDataOutputStream out = fs.create(new Path(outputPath, columnName)); try { for (ByteArray value : set) { out.write(value.data); out.write('\n'); } } finally { out.close(); } } }