From cb4f46b3bfed03acb1b930334cfb91bd4971096a Mon Sep 17 00:00:00 2001
From: Meiqi Guo <mei-qi.guo@student.ecp.fr>
Date: Wed, 15 Feb 2017 16:19:18 +0100
Subject: [PATCH] Add new file
---
InvertIndex2 | 152 +++++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 152 insertions(+)
create mode 100644 InvertIndex2
diff --git a/InvertIndex2 b/InvertIndex2
new file mode 100644
index 0000000..6b489e9
--- /dev/null
+++ b/InvertIndex2
@@ -0,0 +1,152 @@
+package ecp.BDPA.assignment1;
+import java.io.BufferedReader;
+import java.io.DataOutput;
+import java.io.FileReader;
+import java.io.IOException;
+import java.io.InputStreamReader;
+import java.io.PrintWriter;
+import java.security.KeyStore.LoadStoreParameter;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collection;
+import java.util.Collections;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.conf.Configured;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.ArrayWritable;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.LongWritable;
+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.input.FileSplit;
+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.hadoop.util.Tool;
+import org.apache.hadoop.util.ToolRunner;
+public class InvertIndex extends Configured implements Tool {
+
+ private enum ONLY_WORD_COUNTER {
+ Single_Document;
+ }
+
+ public static void main(String[] args) throws Exception {
+ System.out.println(Arrays.toString(args));
+
+ Configuration conf = new Configuration();
+ conf.set("StopWordsFileName", args[2]);
+// conf.set("mapreduce.map.output.compress", "true");
+ int res = ToolRunner.run(conf, new InvertIndex(), args);
+
+
+ System.exit(res);
+ }
+ @Override
+ public int run(String[] args) throws Exception {
+ System.out.println(Arrays.toString(args));
+ Job job = new Job(getConf(), "InvertIndex");
+ job.setJarByClass(InvertIndex.class);
+ job.setOutputKeyClass(Text.class);
+ job.setOutputValueClass(Text.class);
+ job.setMapperClass(Map.class);
+ job.setReducerClass(Reduce.class);
+ //job.setCombinerClass(Reduce.class);
+ job.setNumReduceTasks(10);
+
+ job.setInputFormatClass(TextInputFormat.class);
+ job.setOutputFormatClass(TextOutputFormat.class);
+ job.setMapOutputKeyClass(Text.class);
+ job.setMapOutputValueClass(Text.class);
+
+ FileInputFormat.addInputPath(job, new Path(args[0]));
+ FileOutputFormat.setOutputPath(job, new Path(args[1]));
+ job.waitForCompletion(true);
+
+ Integer i;
+ PrintWriter writer = new PrintWriter(args[3], "UTF-8");
+ i = (int) job.getCounters().findCounter(ONLY_WORD_COUNTER.Single_Document).getValue();
+ writer.println("Num Of Words Only In Single Document "+i.toString()+"\n");
+ writer.close();
+ return 0;
+ }
+
+ public static class Map extends Mapper<LongWritable, Text, Text, Text> {
+ private Text word = new Text();
+ private Text filename = new Text();
+ public List<Text> stopWords = new ArrayList<Text>();
+
+ public void loadStopWords(String filename) throws IOException{
+ Path pt=new Path(filename);//Location of file in HDFS
+ FileSystem fs = FileSystem.get(new Configuration());
+ BufferedReader br = new BufferedReader(new InputStreamReader(fs.open(pt)));
+
+ String sCurrentLine;
+
+ while ((sCurrentLine = br.readLine()) != null) {
+ String stopWord = sCurrentLine.replaceAll("[^A-Za-z]+", "");
+ Text t = new Text();
+ t.set(stopWord);
+ stopWords.add(t);
+ }
+
+ br.close();
+
+ return;
+ }
+
+ public void setup(Context context) throws IOException,InterruptedException {
+ super.setup(context);
+ String filename = context.getConfiguration().get("StopWordsFileName");
+ loadStopWords(filename);
+ }
+ @Override
+ public void map(LongWritable key, Text value, Context context)
+ throws IOException, InterruptedException {
+ FileSplit fileSplit = (FileSplit)context.getInputSplit();
+ String name = fileSplit.getPath().getName();
+ filename.set(name);
+ for (String token: value.toString().split("\\s+|-{2,}+")) {
+ word.set(token.replaceAll("[^A-Za-z]+", "").toLowerCase());
+ if (!stopWords.contains(word)){
+ context.write(word, filename);
+ }
+ }
+ }
+ }
+ public static class Reduce extends Reducer<Text, Text, Text, Text> {
+ @Override
+ public void reduce(Text key, Iterable<Text> values, Context context)
+ throws IOException, InterruptedException {
+ ArrayList<Text> list = new ArrayList<Text>();
+
+ for (Text value : values) {
+ list.add(new Text(value));
+ }
+
+ if (list.size()==1){
+ context.getCounter(ONLY_WORD_COUNTER.Single_Document).increment(1);
+
+ }
+
+ Set<Text> set = new HashSet<Text>(list);
+ String output = new String();
+ for (Text u : set){
+ output += u.toString();
+ //output += u.toString()+'#'+Collections.frequency(list, u);
+ output += ',';
+ }
+ output = output.substring(0, output.length()-1);
+ Text val = new Text();
+ val.set(output);
+ context.write(key, val);
+
+ }
+ }
+}
--
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