Changes between Initial Version and Version 1 of NCHCCloudCourse100928_4_EXM5

Timestamp:

Sep 24, 2010, 6:31:47 PM (14 years ago)

Author:

waue

Comment:

--

NCHCCloudCourse100928_4_EXM5

@@ +1 @@
+{{{
+#!html
+<div style="text-align: center; color:#151B8D"><big style="font-weight: bold;"><big><big>
+Hadoop 進階課程 
+</big></big></big></div> <div style="text-align: center; color:#7E2217"><big style="font-weight: bold;"><big>
+範例練習
+</big></big></div>
+}}}
+
+[wiki:NCHCCloudCourse100928_4_EXM4 上一關 < ] 第五關 [wiki:NCHCCloudCourse100928_4_EXM6 > 下一關]
+
+
+{{{
+#!java
+package org.nchc.hadoop;
+import java.io.BufferedReader;
+import java.io.FileReader;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Set;
+import java.util.StringTokenizer;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.conf.Configured;
+import org.apache.hadoop.filecache.DistributedCache;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.io.IntWritable;
+import org.apache.hadoop.io.LongWritable;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.FileInputFormat;
+import org.apache.hadoop.mapred.FileOutputFormat;
+import org.apache.hadoop.mapred.JobClient;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.MapReduceBase;
+import org.apache.hadoop.mapred.Mapper;
+import org.apache.hadoop.mapred.OutputCollector;
+import org.apache.hadoop.mapred.Reducer;
+import org.apache.hadoop.mapred.Reporter;
+import org.apache.hadoop.mapred.TextInputFormat;
+import org.apache.hadoop.mapred.TextOutputFormat;
+import org.apache.hadoop.util.GenericOptionsParser;
+import org.apache.hadoop.util.StringUtils;
+import org.apache.hadoop.util.Tool;
+import org.apache.hadoop.util.ToolRunner;
+
+//WordCountV2
+//說明： 
+//      用於字數統計，並且增加略過大小寫辨識、符號篩除等功能
+//
+//測試方法：
+//      將此程式運作在hadoop 0.20 平台上，執行：
+//      ---------------------------
+//      hadoop jar WordCountV2.jar -Dwordcount.case.sensitive=false \
+//      <input> <output> -skip patterns/patterns.txt
+//      ---------------------------
+//
+//注意：
+//1.    在hdfs 上來源檔案的路徑為 你所指定的 <input>
+//      請注意必須先放資料到此hdfs上的資料夾內，且此資料夾內只能放檔案，不可再放資料夾
+//2.    運算完後，程式將執行結果放在hdfs 的輸出路徑為 你所指定的 <output>
+//3.    請建立一個資料夾 pattern 並在裡面放置pattern.txt，內容如下（一行一個，前置提示符號\）
+//                      \.
+//              \,
+//              \!
+
+@SuppressWarnings("deprecation")
+public class WordCountV2 extends Configured implements Tool {
+
+        public static class Map extends MapReduceBase implements
+                        Mapper<LongWritable, Text, Text, IntWritable> {
+
+                static enum Counters {
+                        INPUT_WORDS
+                }
+
+                private final static IntWritable one = new IntWritable(1);
+                private Text word = new Text();
+
+                private boolean caseSensitive = true;
+                private Set<String> patternsToSkip = new HashSet<String>();
+
+                private long numRecords = 0;
+                private String inputFile;
+
+                public void configure(JobConf job) {
+                        caseSensitive = job.getBoolean("wordcount.case.sensitive", true);
+                        inputFile = job.get("map.input.file");
+
+                        if (job.getBoolean("wordcount.skip.patterns", false)) {
+                                Path[] patternsFiles = new Path[0];
+                                try {
+                                        patternsFiles = DistributedCache.getLocalCacheFiles(job);
+                                } catch (IOException ioe) {
+                                        System.err
+                                                        .println("Caught exception while getting cached files: "
+                                                                        + StringUtils.stringifyException(ioe));
+                                }
+                                for (Path patternsFile : patternsFiles) {
+                                        parseSkipFile(patternsFile);
+                                }
+                        }
+                }
+
+                private void parseSkipFile(Path patternsFile) {
+                        try {
+                                BufferedReader fis = new BufferedReader(new FileReader(
+                                                patternsFile.toString()));
+                                String pattern = null;
+                                while ((pattern = fis.readLine()) != null) {
+                                        patternsToSkip.add(pattern);
+                                }
+                        } catch (IOException ioe) {
+                                System.err
+                                                .println("Caught exception while parsing the cached file '"
+                                                                + patternsFile
+                                                                + "' : "
+                                                                + StringUtils.stringifyException(ioe));
+                        }
+                }
+
+                public void map(LongWritable key, Text value,
+                                OutputCollector<Text, IntWritable> output, Reporter reporter)
+                                throws IOException {
+                        String line = (caseSensitive) ? value.toString() : value.toString()
+                                        .toLowerCase();
+
+                        for (String pattern : patternsToSkip) {
+                                line = line.replaceAll(pattern, "");
+                        }
+
+                        StringTokenizer tokenizer = new StringTokenizer(line);
+                        while (tokenizer.hasMoreTokens()) {
+                                word.set(tokenizer.nextToken());
+                                output.collect(word, one);
+                                reporter.incrCounter(Counters.INPUT_WORDS, 1);
+                        }
+
+                        if ((++numRecords % 100) == 0) {
+                                reporter.setStatus("Finished processing " + numRecords
+                                                + " records " + "from the input file: " + inputFile);
+                        }
+                }
+        }
+
+        public static class Reduce extends MapReduceBase implements
+                        Reducer<Text, IntWritable, Text, IntWritable> {
+                public void reduce(Text key, Iterator<IntWritable> values,
+                                OutputCollector<Text, IntWritable> output, Reporter reporter)
+                                throws IOException {
+                        int sum = 0;
+                        while (values.hasNext()) {
+                                sum += values.next().get();
+                        }
+                        output.collect(key, new IntWritable(sum));
+                }
+        }
+
+        public int run(String[] args) throws Exception {
+
+                JobConf conf = new JobConf(getConf(), WordCount.class);
+                conf.setJobName("wordcount");
+                String[] otherArgs = new GenericOptionsParser(conf, args)
+                                .getRemainingArgs();
+                if (otherArgs.length < 2) {
+                        System.out.println("WordCountV2 [-Dwordcount.case.sensitive=<false|true>] \\ ");
+                        System.out.println("            <inDir> <outDir> [-skip Pattern_file]");
+                        return 0;
+                }
+                conf.setOutputKeyClass(Text.class);
+                conf.setOutputValueClass(IntWritable.class);
+
+                conf.setMapperClass(Map.class);
+                conf.setCombinerClass(Reduce.class);
+                conf.setReducerClass(Reduce.class);
+
+                conf.setInputFormat(TextInputFormat.class);
+                conf.setOutputFormat(TextOutputFormat.class);
+
+                List<String> other_args = new ArrayList<String>();
+                for (int i = 0; i < args.length; ++i) {
+                        if ("-skip".equals(args[i])) {
+                                DistributedCache
+                                                .addCacheFile(new Path(args[++i]).toUri(), conf);
+                                conf.setBoolean("wordcount.skip.patterns", true);
+                        } else {
+                                other_args.add(args[i]);
+                        }
+                }
+
+                FileInputFormat.setInputPaths(conf, new Path(other_args.get(0)));
+                FileOutputFormat.setOutputPath(conf, new Path(other_args.get(1)));
+                CheckAndDelete.checkAndDelete(other_args.get(1), conf);
+                JobClient.runJob(conf);
+                return 0;
+        }
+
+        public static void main(String[] args) throws Exception {
+//              String[] argv = { "-Dwordcount.case.sensitive=false", "/user/hadooper/input",
+//                              "/user/hadooper/output-wc2", "-skip", "/user/hadooper/patterns/patterns.txt" };
+//              args = argv;
+
+                int res = ToolRunner.run(new Configuration(), new WordCountV2(), args);
+                System.exit(res);
+        }
+}
+
+}}}
+
+