/* * chombo: Hadoop Map Reduce utility * Author: Pranab Ghosh * * 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 org.chombo.mr; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; import org.apache.log4j.Level; import org.apache.log4j.Logger; import org.chombo.util.Tuple; import org.chombo.util.Utility; /** * Counts tokens from unstructured text. Can count token along with it's position in the text record. * Can create patterns out of text lines. High frequency tokens are literals. Rest are wild cards. * @author pranab * */ public class TokenCounter extends Configured implements Tool { @Override public int run(String[] args) throws Exception { Job job = new Job(getConf()); String jobName = "Token counter MR"; job.setJobName(jobName); job.setJarByClass(TokenCounter.class); FileInputFormat.addInputPath(job, new Path(args[0])); FileOutputFormat.setOutputPath(job, new Path(args[1])); job.setMapperClass(TokenCounter.CounterMapper.class); job.setReducerClass(TokenCounter.CounterReducer.class); job.setCombinerClass(TokenCounter.CounterCombiner.class); job.setMapOutputKeyClass(Tuple.class); job.setMapOutputValueClass(IntWritable.class); job.setOutputKeyClass(NullWritable.class); job.setOutputValueClass(Text.class); Utility.setConfiguration(job.getConfiguration()); int numReducer = job.getConfiguration().getInt("toc.num.reducer", -1); numReducer = -1 == numReducer ? job.getConfiguration().getInt("num.reducer", 1) : numReducer; job.setNumReduceTasks(numReducer); int status = job.waitForCompletion(true) ? 0 : 1; return status; } /** * @author pranab * */ public static class CounterMapper extends Mapper<LongWritable, Text, Tuple, IntWritable> { private Tuple outKey = new Tuple(); private IntWritable outVal = new IntWritable(1); private String tokenDelimRegex; private String[] items; private boolean positionalToken; protected void setup(Context context) throws IOException, InterruptedException { Configuration conf = context.getConfiguration(); tokenDelimRegex = conf.get("toc.token.delim.regex", "\\s+"); positionalToken = conf.getBoolean("toc.positional.token", false); } @Override protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { items = value.toString().split(tokenDelimRegex, -1); int i = 0; for (String item : items) { outKey.initialize(); outKey.append(item); if (positionalToken) { outKey.append(i); ++i; } context.write(outKey, outVal); } } } /** * @author pranab * */ public static class CounterCombiner extends Reducer<Tuple, IntWritable, Tuple, IntWritable> { private int count; private IntWritable outVal = new IntWritable(); /* (non-Javadoc) * @see org.apache.hadoop.mapreduce.Reducer#reduce(KEYIN, java.lang.Iterable, org.apache.hadoop.mapreduce.Reducer.Context) */ protected void reduce(Tuple key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { count = 0; for (IntWritable value : values) { count += value.get(); } outVal.set(count); context.write(key, outVal); } } /** * @author pranab * */ public static class CounterReducer extends Reducer<Tuple, IntWritable, NullWritable, Text> { private String fieldDelim; private Text outVal = new Text(); private int count; private int countMinThreshold; private static final Logger LOG = Logger.getLogger(CounterReducer.class); /* (non-Javadoc) * @see org.apache.hadoop.mapreduce.Reducer#setup(org.apache.hadoop.mapreduce.Reducer.Context) */ protected void setup(Context context) throws IOException, InterruptedException { Configuration conf = context.getConfiguration(); if (conf.getBoolean("debug.on", false)) { LOG.setLevel(Level.DEBUG); } fieldDelim = conf.get("field.delim.out", ","); countMinThreshold = conf.getInt("toc.count.min.threshold", -1); } /* (non-Javadoc) * @see org.apache.hadoop.mapreduce.Reducer#reduce(KEYIN, java.lang.Iterable, org.apache.hadoop.mapreduce.Reducer.Context) */ protected void reduce(Tuple key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { count = 0; for (IntWritable value : values) { count += value.get(); } if (countMinThreshold > 0 && count > countMinThreshold || countMinThreshold < 0 ) { key.setDelim(fieldDelim); outVal.set(key.toString() + fieldDelim + count ); context.write(NullWritable.get(),outVal); } } } /** * @param args */ public static void main(String[] args) throws Exception { int exitCode = ToolRunner.run(new TokenCounter(), args); System.exit(exitCode); } }