| | 1 | |
| | 2 | {{{ |
| | 3 | #!java |
| | 4 | import java.io.BufferedReader; |
| | 5 | import java.io.FileReader; |
| | 6 | import java.io.IOException; |
| | 7 | import java.util.ArrayList; |
| | 8 | import java.util.HashSet; |
| | 9 | import java.util.Iterator; |
| | 10 | import java.util.List; |
| | 11 | import java.util.Set; |
| | 12 | import java.util.StringTokenizer; |
| | 13 | |
| | 14 | import org.apache.hadoop.conf.Configuration; |
| | 15 | import org.apache.hadoop.conf.Configured; |
| | 16 | import org.apache.hadoop.filecache.DistributedCache; |
| | 17 | import org.apache.hadoop.fs.Path; |
| | 18 | import org.apache.hadoop.io.IntWritable; |
| | 19 | import org.apache.hadoop.io.LongWritable; |
| | 20 | import org.apache.hadoop.io.Text; |
| | 21 | import org.apache.hadoop.mapreduce.Job; |
| | 22 | import org.apache.hadoop.mapreduce.Mapper; |
| | 23 | import org.apache.hadoop.mapreduce.Reducer; |
| | 24 | import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; |
| | 25 | import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| | 26 | import org.apache.hadoop.util.StringUtils; |
| | 27 | import org.apache.hadoop.util.Tool; |
| | 28 | import org.apache.hadoop.util.ToolRunner; |
| | 29 | |
| | 30 | public class WordCountV020 extends Configured implements Tool { |
| | 31 | |
| | 32 | static Set<String> patternsToSkip = new HashSet<String>(); |
| | 33 | |
| | 34 | static void parseSkipFile(Path patternsFile) { |
| | 35 | try { |
| | 36 | BufferedReader fis = new BufferedReader(new FileReader(patternsFile |
| | 37 | .toString())); |
| | 38 | String pattern = null; |
| | 39 | while ((pattern = fis.readLine()) != null) { |
| | 40 | patternsToSkip.add(pattern); |
| | 41 | } |
| | 42 | } catch (IOException ioe) { |
| | 43 | System.err |
| | 44 | .println("Caught exception while parsing the cached file '" |
| | 45 | + patternsFile + "' : " |
| | 46 | + StringUtils.stringifyException(ioe)); |
| | 47 | } |
| | 48 | } |
| | 49 | |
| | 50 | public static class Map extends |
| | 51 | Mapper<LongWritable, Text, Text, IntWritable> { |
| | 52 | |
| | 53 | static enum Counters { |
| | 54 | INPUT_WORDS |
| | 55 | } |
| | 56 | |
| | 57 | boolean caseSensitive; |
| | 58 | |
| | 59 | private final static IntWritable one = new IntWritable(1); |
| | 60 | private Text word = new Text(); |
| | 61 | |
| | 62 | public void setup(Context context) { |
| | 63 | Configuration conf = context.getConfiguration(); |
| | 64 | caseSensitive = conf.getBoolean("wordcount.case.sensitive", true); |
| | 65 | } |
| | 66 | |
| | 67 | public void map(LongWritable key, Text value, Context context) |
| | 68 | throws IOException, InterruptedException { |
| | 69 | |
| | 70 | String line = (caseSensitive) ? value.toString() : value.toString() |
| | 71 | .toLowerCase(); |
| | 72 | |
| | 73 | for (String pattern : patternsToSkip) { |
| | 74 | line = line.replaceAll(pattern, ""); |
| | 75 | } |
| | 76 | |
| | 77 | StringTokenizer tokenizer = new StringTokenizer(line); |
| | 78 | while (tokenizer.hasMoreTokens()) { |
| | 79 | word.set(tokenizer.nextToken()); |
| | 80 | context.write(word, one); |
| | 81 | |
| | 82 | } |
| | 83 | |
| | 84 | } |
| | 85 | } |
| | 86 | |
| | 87 | public static class Reduce extends |
| | 88 | Reducer<Text, IntWritable, Text, IntWritable> { |
| | 89 | public void reduce(Text key, Iterator<IntWritable> values, |
| | 90 | Context context) throws IOException, InterruptedException { |
| | 91 | int sum = 0; |
| | 92 | while (values.hasNext()) { |
| | 93 | sum += values.next().get(); |
| | 94 | } |
| | 95 | context.write(key, new IntWritable(sum)); |
| | 96 | } |
| | 97 | } |
| | 98 | |
| | 99 | public int run(String[] args) throws Exception { |
| | 100 | |
| | 101 | Configuration conf = new Configuration(); |
| | 102 | // 宣告job 取得conf 並設定名稱 Hadoop Hello World |
| | 103 | Job job = new Job(conf, "Hadoop Hello World"); |
| | 104 | // 設定此運算的主程式 |
| | 105 | job.setJarByClass(WordCountV020.class); |
| | 106 | |
| | 107 | job.setOutputKeyClass(Text.class); |
| | 108 | job.setOutputValueClass(IntWritable.class); |
| | 109 | |
| | 110 | job.setMapperClass(Map.class); |
| | 111 | job.setCombinerClass(Reduce.class); |
| | 112 | job.setReducerClass(Reduce.class); |
| | 113 | |
| | 114 | List<String> other_args = new ArrayList<String>(); |
| | 115 | |
| | 116 | for (int i = 0; i < args.length; ++i) { |
| | 117 | if ("-skip".equals(args[i])) { |
| | 118 | DistributedCache |
| | 119 | .addCacheFile(new Path(args[++i]).toUri(), conf); |
| | 120 | conf.setBoolean("wordcount.skip.patterns", true); |
| | 121 | } else { |
| | 122 | other_args.add(args[i]); |
| | 123 | } |
| | 124 | } |
| | 125 | |
| | 126 | Path[] patternsFiles = null; |
| | 127 | if (conf.getBoolean("wordcount.skip.patterns", false)) { |
| | 128 | |
| | 129 | try { |
| | 130 | patternsFiles = DistributedCache.getLocalCacheFiles(conf); |
| | 131 | |
| | 132 | } catch (Exception ioe) { |
| | 133 | System.err |
| | 134 | .println("Caught exception while getting cached files: " |
| | 135 | + StringUtils.stringifyException(ioe)); |
| | 136 | } |
| | 137 | if (patternsFiles != null) { |
| | 138 | |
| | 139 | for (Path patternsFile : patternsFiles) { |
| | 140 | System.err.println(patternsFile); |
| | 141 | parseSkipFile(patternsFile); |
| | 142 | } |
| | 143 | } else { |
| | 144 | System.err.print("no path"); |
| | 145 | } |
| | 146 | |
| | 147 | } |
| | 148 | |
| | 149 | FileInputFormat.setInputPaths(job, new Path(other_args.get(0))); |
| | 150 | // 設定輸出路徑 |
| | 151 | FileOutputFormat.setOutputPath(job, new Path(other_args.get(1))); |
| | 152 | |
| | 153 | // CheckAndDelete.checkAndDelete(other_args.get(1), conf); |
| | 154 | job.waitForCompletion(true); |
| | 155 | return 0; |
| | 156 | } |
| | 157 | |
| | 158 | public static void main(String[] args) throws Exception { |
| | 159 | String[] argv = { "-Dwordcount.case.sensitive=false", |
| | 160 | "/user/waue/input", "/user/waue/output-v020", "-skip", |
| | 161 | "/user/waue/patterns" }; |
| | 162 | args = argv; |
| | 163 | int res = ToolRunner |
| | 164 | .run(new Configuration(), new WordCountV020(), args); |
| | 165 | System.exit(res); |
| | 166 | } |
| | 167 | } |
| | 168 | |
| | 169 | |
| | 170 | }}} |