| 1 | = code v0.20 = |
| 2 | |
| 3 | {{{ |
| 4 | #!java |
| 5 | import java.io.BufferedReader; |
| 6 | import java.io.FileReader; |
| 7 | import java.io.IOException; |
| 8 | import java.util.ArrayList; |
| 9 | import java.util.HashSet; |
| 10 | import java.util.Iterator; |
| 11 | import java.util.List; |
| 12 | import java.util.Set; |
| 13 | import java.util.StringTokenizer; |
| 14 | |
| 15 | import org.apache.hadoop.conf.Configuration; |
| 16 | import org.apache.hadoop.conf.Configured; |
| 17 | import org.apache.hadoop.filecache.DistributedCache; |
| 18 | import org.apache.hadoop.fs.Path; |
| 19 | import org.apache.hadoop.io.IntWritable; |
| 20 | import org.apache.hadoop.io.LongWritable; |
| 21 | import org.apache.hadoop.io.Text; |
| 22 | import org.apache.hadoop.mapred.OutputCollector; |
| 23 | import org.apache.hadoop.mapred.Reporter; |
| 24 | import org.apache.hadoop.mapreduce.Job; |
| 25 | import org.apache.hadoop.mapreduce.Mapper; |
| 26 | import org.apache.hadoop.mapreduce.Reducer; |
| 27 | import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; |
| 28 | import org.apache.hadoop.mapreduce.lib.input.TextInputFormat; |
| 29 | import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; |
| 30 | import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat; |
| 31 | import org.apache.hadoop.util.StringUtils; |
| 32 | import org.apache.hadoop.util.Tool; |
| 33 | import org.apache.hadoop.util.ToolRunner; |
| 34 | |
| 35 | public class WordCount2for020 extends Configured implements Tool { |
| 36 | |
| 37 | public static class Map extends |
| 38 | Mapper<LongWritable, Text, Text, IntWritable> { |
| 39 | |
| 40 | static enum Counters { |
| 41 | INPUT_WORDS |
| 42 | } |
| 43 | |
| 44 | private final static IntWritable one = new IntWritable(1); |
| 45 | private Text word = new Text(); |
| 46 | |
| 47 | private boolean caseSensitive = true; |
| 48 | private Set<String> patternsToSkip = new HashSet<String>(); |
| 49 | |
| 50 | private long numRecords = 0; |
| 51 | private String inputFile; |
| 52 | |
| 53 | public void setup(Context context) { |
| 54 | Configuration conf = context.getConfiguration(); |
| 55 | caseSensitive = conf.getBoolean("wordcount.case.sensitive", true); |
| 56 | inputFile = conf.get("map.input.file"); |
| 57 | |
| 58 | if (conf.getBoolean("wordcount.skip.patterns", false)) { |
| 59 | Path[] patternsFiles = new Path[0]; |
| 60 | try { |
| 61 | patternsFiles = DistributedCache.getLocalCacheFiles(conf); |
| 62 | } catch (IOException ioe) { |
| 63 | System.err |
| 64 | .println("Caught exception while getting cached files: " |
| 65 | + StringUtils.stringifyException(ioe)); |
| 66 | } |
| 67 | for (Path patternsFile : patternsFiles) { |
| 68 | parseSkipFile(patternsFile); |
| 69 | } |
| 70 | } |
| 71 | } |
| 72 | |
| 73 | private void parseSkipFile(Path patternsFile) { |
| 74 | try { |
| 75 | BufferedReader fis = new BufferedReader(new FileReader( |
| 76 | patternsFile.toString())); |
| 77 | String pattern = null; |
| 78 | while ((pattern = fis.readLine()) != null) { |
| 79 | patternsToSkip.add(pattern); |
| 80 | } |
| 81 | } catch (IOException ioe) { |
| 82 | System.err |
| 83 | .println("Caught exception while parsing the cached file '" |
| 84 | + patternsFile |
| 85 | + "' : " |
| 86 | + StringUtils.stringifyException(ioe)); |
| 87 | } |
| 88 | } |
| 89 | |
| 90 | public void map(LongWritable key, Text value, |
| 91 | OutputCollector<Text, IntWritable> output, Reporter reporter) |
| 92 | throws IOException { |
| 93 | String line = (caseSensitive) ? value.toString() : value.toString() |
| 94 | .toLowerCase(); |
| 95 | |
| 96 | for (String pattern : patternsToSkip) { |
| 97 | line = line.replaceAll(pattern, ""); |
| 98 | } |
| 99 | |
| 100 | StringTokenizer tokenizer = new StringTokenizer(line); |
| 101 | while (tokenizer.hasMoreTokens()) { |
| 102 | word.set(tokenizer.nextToken()); |
| 103 | output.collect(word, one); |
| 104 | reporter.incrCounter(Counters.INPUT_WORDS, 1); |
| 105 | } |
| 106 | |
| 107 | if ((++numRecords % 100) == 0) { |
| 108 | reporter.setStatus("Finished processing " + numRecords |
| 109 | + " records " + "from the input file: " + inputFile); |
| 110 | } |
| 111 | } |
| 112 | } |
| 113 | |
| 114 | public static class Reduce extends |
| 115 | Reducer<Text, IntWritable, Text, IntWritable> { |
| 116 | public void reduce(Text key, Iterator<IntWritable> values, |
| 117 | OutputCollector<Text, IntWritable> output, Reporter reporter) |
| 118 | throws IOException { |
| 119 | int sum = 0; |
| 120 | while (values.hasNext()) { |
| 121 | sum += values.next().get(); |
| 122 | } |
| 123 | output.collect(key, new IntWritable(sum)); |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | public int run(String[] args) throws Exception { |
| 128 | Configuration conf = new Configuration(); |
| 129 | |
| 130 | Job job = new Job(conf); |
| 131 | job.setJarByClass(WordCount2for020.class); |
| 132 | job.setJobName("wordcount"); |
| 133 | |
| 134 | job.setMapOutputKeyClass(Text.class); |
| 135 | job.setMapOutputValueClass(IntWritable.class); |
| 136 | job.setOutputKeyClass(Text.class); |
| 137 | job.setOutputValueClass(IntWritable.class); |
| 138 | |
| 139 | job.setMapperClass(Map.class); |
| 140 | job.setCombinerClass(Reduce.class); |
| 141 | job.setReducerClass(Reduce.class); |
| 142 | |
| 143 | job.setInputFormatClass(TextInputFormat.class); |
| 144 | job.setOutputFormatClass(TextOutputFormat.class); |
| 145 | |
| 146 | List<String> other_args = new ArrayList<String>(); |
| 147 | for (int i = 0; i < args.length; ++i) { |
| 148 | if ("-skip".equals(args[i])) { |
| 149 | DistributedCache |
| 150 | .addCacheFile(new Path(args[++i]).toUri(), conf); |
| 151 | conf.setBoolean("wordcount.skip.patterns", true); |
| 152 | } else { |
| 153 | other_args.add(args[i]); |
| 154 | } |
| 155 | } |
| 156 | // conf.set("mapred.job.tracker", "local"); |
| 157 | // conf.set("fs.default.name", "file:///"); |
| 158 | |
| 159 | FileInputFormat.setInputPaths(job, new Path(other_args.get(0))); |
| 160 | FileOutputFormat.setOutputPath(job, new Path(other_args.get(1))); |
| 161 | job.waitForCompletion(true); |
| 162 | |
| 163 | return 0; |
| 164 | } |
| 165 | |
| 166 | public static void main(String[] args) throws Exception { |
| 167 | String[] argv = { "-Dwordcount.case.sensitive=false", |
| 168 | "/user/waue/text_input", "/user/waue/output-v020", "-skip", |
| 169 | "/user/waue/patterns" }; |
| 170 | args = argv; |
| 171 | int res = ToolRunner.run(new Configuration(), new WordCount2for020(), |
| 172 | args); |
| 173 | System.exit(res); |
| 174 | } |
| 175 | } |
| 176 | }}} |
| 177 | = error message = |
| 178 | {{{ |
| 179 | 10/04/19 09:57:17 INFO input.FileInputFormat: Total input paths to process : 4 |
| 180 | 10/04/19 09:57:17 INFO mapred.JobClient: Running job: job_201004190849_0004 |
| 181 | 10/04/19 09:57:18 INFO mapred.JobClient: map 0% reduce 0% |
| 182 | 10/04/19 09:57:28 INFO mapred.JobClient: Task Id : attempt_201004190849_0004_m_000000_0, Status : FAILED |
| 183 | java.io.IOException: Type mismatch in key from map: expected org.apache.hadoop.io.Text, recieved org.apache.hadoop.io.LongWritable |
| 184 | at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:807) |
| 185 | at org.apache.hadoop.mapred.MapTask$NewOutputCollector.write(MapTask.java:504) |
| 186 | at org.apache.hadoop.mapreduce.TaskInputOutputContext.write(TaskInputOutputContext.java:80) |
| 187 | at org.apache.hadoop.mapreduce.Mapper.map(Mapper.java:124) |
| 188 | at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144) |
| 189 | at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:583) |
| 190 | at org.apache.hadoop.mapred.MapTask.run(MapTask.java:305) |
| 191 | at org.apache.hadoop.mapred.Child.main(Child.java:170) |
| 192 | }}} |