public void map(LongWritable key, Text value, Context context)
     throws IOException, InterruptedException {
   String cur_file =
       ((FileSplit) context.getInputSplit()).getPath().getParent().getParent().getName();
   String train_file = context.getConfiguration().get("train_file");
   if (cur_file.equals(train_file)) {
     StringTokenizer st = new StringTokenizer(value.toString());
     String word = st.nextToken();
     String f_id = st.nextToken();
     myKey.set(word);
     myVal.set(f_id);
     context.write(myKey, myVal);
   } else {
     StringTokenizer st = new StringTokenizer(value.toString());
     String word = st.nextToken();
     String f_id = st.nextToken();
     StringBuilder builder = new StringBuilder(dlt);
     while (st.hasMoreTokens()) {
       String filename = st.nextToken();
       String tf_idf = st.nextToken();
       builder.append(filename);
       builder.append(dlt);
       builder.append(tf_idf);
       builder.append("\t");
     }
     myKey.set(word);
     myVal.set(builder.toString());
     context.write(myKey, myVal);
   }
 }
 @Test
 public void get() throws Exception {
   // vv MapFileSeekTest
   Text value = new Text();
   reader.get(new IntWritable(496), value);
   assertThat(value.toString(), is("One, two, buckle my shoe"));
   // ^^ MapFileSeekTest
 }
Beispiel #3
0
    public void reduce(
        Text key,
        Iterator<CrawlDatum> values,
        OutputCollector<Text, CrawlDatum> output,
        Reporter reporter)
        throws IOException {
      boolean oldSet = false;
      boolean injectedSet = false;
      while (values.hasNext()) {
        CrawlDatum val = values.next();
        if (val.getStatus() == CrawlDatum.STATUS_INJECTED) {
          injected.set(val);
          injected.setStatus(CrawlDatum.STATUS_DB_UNFETCHED);
          injectedSet = true;
        } else {
          old.set(val);
          oldSet = true;
        }
      }
      CrawlDatum res = null;

      /**
       * Whether to overwrite, ignore or update existing records
       *
       * @see https://issues.apache.org/jira/browse/NUTCH-1405
       */

      // Injected record already exists and overwrite but not update
      if (injectedSet && oldSet && overwrite) {
        res = injected;

        if (update) {
          LOG.info(key.toString() + " overwritten with injected record but update was specified.");
        }
      }

      // Injected record already exists and update but not overwrite
      if (injectedSet && oldSet && update && !overwrite) {
        res = old;
        old.putAllMetaData(injected);
        old.setScore(injected.getScore() != scoreInjected ? injected.getScore() : old.getScore());
        old.setFetchInterval(
            injected.getFetchInterval() != interval
                ? injected.getFetchInterval()
                : old.getFetchInterval());
      }

      // Old default behaviour
      if (injectedSet && !oldSet) {
        res = injected;
      } else {
        res = old;
      }

      output.collect(key, res);
    }
Beispiel #4
0
 @Override
 public void map(Object key, Text value, Context context)
     throws IOException, InterruptedException {
   String line = value.toString();
   StringTokenizer tokenizer = new StringTokenizer(line);
   int movieId = Integer.parseInt(tokenizer.nextToken());
   while (tokenizer.hasMoreTokens()) {
     String word = tokenizer.nextToken();
     context.write(new Text("1"), new IntWritable(1));
   }
 }
Beispiel #5
0
    public void map(Object key, Text value, Context context)
        throws IOException, InterruptedException {
      String file = value.toString();
      String[] lines = file.split("\n");

      for (String line : lines) {
        if (line.contains("<author>") && line.contains("</author>")) {
          String author = line.substring(8, line.indexOf("</a"));
          word.set(author);
          context.write(word, one);
        } else if (line.contains("<author>")) {
          String author = line.substring(8);
          word.set(author);
          context.write(word, one);
        }
      }
    }
    public void reduce(IntWritable key, Iterable<Text> values, Context context)
        throws IOException, InterruptedException {

      System.out.println(PREFIX + "Collecting all the matched results");
      for (Text val : values) {
        String[] tmp =
            val.toString()
                .split("\\|"); //  The \\ here is very important. Cannot use "|" since split()
        //  need a regex(regular expression), and the vertical bar is
        //  special character.
        System.out.println("filename:" + tmp[0] + " ratio:" + tmp[1]);
        String filename = tmp[0];
        double ratio = Double.valueOf(tmp[1]);

        // Key:filename     Value:ratio
        context.write(new Text(filename), new DoubleWritable(ratio));
      }
    }
    public void reduce(Text key, Iterable<Text> values, Context context)
        throws IOException, InterruptedException {

      String[] pair = new String[2];
      int count = 0;
      for (Text txt : values) {
        pair[count] = txt.toString();
        count++;
      }

      // word exists in training
      if (count == 2) {
        StringTokenizer st_one, st_two;
        if (pair[0].contains(dlt)) {
          st_one = new StringTokenizer(pair[1]);
          st_two = new StringTokenizer(pair[0]);
        } else {
          st_one = new StringTokenizer(pair[0]);
          st_two = new StringTokenizer(pair[1]);
        }

        // outputting the data
        String f_id = st_one.nextToken();

        StringBuilder builder = new StringBuilder(dlt);
        builder.append(f_id);
        builder.append(dlt);
        while (st_two.hasMoreTokens()) {
          String filename = st_two.nextToken();
          String tf_idf = st_two.nextToken();
          builder.append(filename);
          builder.append(dlt);
          builder.append(tf_idf);
          builder.append("\t");
        }
        myVal.set(builder.toString());
        context.write(key, myVal);
      }
    }
    public void map(Text key, Text value, Context context)
        throws InterruptedException, IOException {

      String filename = key.toString();
      String json = value.toString();

      // Make sure the input is valid
      if (!(filename.isEmpty() || json.isEmpty())) {

        // Change the json-type feature to Mat-type feature
        Mat descriptor = json2mat(json);
        if (descriptor != null) {
          // Read the query feature from the cache in Hadoop
          Mat query_features;
          String pathStr = context.getConfiguration().get("featureFilePath");
          FileSystem fs = FileSystem.get(context.getConfiguration());
          FSDataInputStream fsDataInputStream = fs.open(new Path(pathStr));
          StringBuilder sb = new StringBuilder();

          // Use a buffer to read the query_feature
          int remain = fsDataInputStream.available();
          while (remain > 0) {
            int read;
            byte[] buf = new byte[BUF_SIZE];
            read = fsDataInputStream.read(buf, fsDataInputStream.available() - remain, BUF_SIZE);
            sb.append(new String(buf, 0, read, StandardCharsets.UTF_8));
            remain = remain - read;
            System.out.println("remain:" + remain + "\tread:" + read + "\tsb.size:" + sb.length());
          }

          // Read the query_feature line by line
          //                    Scanner sc = new Scanner(fsDataInputStream, "UTF-8");
          //                    StringBuilder sb = new StringBuilder();
          //                    while (sc.hasNextLine()) {
          //                        sb.append(sc.nextLine());
          //                    }
          //                    String query_json = sb.toString();
          //                    String query_json = new String(buf, StandardCharsets.UTF_8);

          String query_json = sb.toString();
          fsDataInputStream.close();
          query_features = json2mat(query_json);

          // Get the similarity of the current database image against the query image
          DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
          MatOfDMatch matches = new MatOfDMatch();

          // Ensure the two features have same length of cols (the feature extracted are all 128
          // cols(at least in this case))
          if (query_features.cols() == descriptor.cols()) {

            matcher.match(query_features, descriptor, matches);
            DMatch[] dMatches = matches.toArray();

            // Calculate the max/min distances
            //                    double max_dist = Double.MAX_VALUE;
            //                    double min_dist = Double.MIN_VALUE;
            double max_dist = 0;
            double min_dist = 100;
            for (int i = 0; i < dMatches.length; i++) {
              double dist = dMatches[i].distance;
              if (min_dist > dist) min_dist = dist;
              if (max_dist < dist) max_dist = dist;
            }
            // Only distances ≤ threshold are good matches
            double threshold = max_dist * THRESHOLD_FACTOR;
            //                    double threshold = min_dist * 2;
            LinkedList<DMatch> goodMatches = new LinkedList<DMatch>();

            for (int i = 0; i < dMatches.length; i++) {
              if (dMatches[i].distance <= threshold) {
                goodMatches.addLast(dMatches[i]);
              }
            }

            // Get the ratio of good_matches to all_matches
            double ratio = (double) goodMatches.size() / (double) dMatches.length;

            System.out.println("*** current_record_filename:" + filename + " ***");
            System.out.println("feature:" + descriptor + "\nquery_feature:" + query_features);
            System.out.println(
                "min_dist of keypoints:" + min_dist + "  max_dist of keypoints:" + max_dist);
            System.out.println(
                "total_matches:" + dMatches.length + "\tgood_matches:" + goodMatches.size());
            //                    System.out.println("type:" + descriptor.type() + " channels:" +
            // descriptor.channels() + " rows:" + descriptor.rows() + " cols:" + descriptor.cols());
            //                    System.out.println("qtype:" + query_features.type() + "
            // qchannels:" + query_features.channels() + " qrows:" + query_features.rows() + "
            // qcols:" + query_features.cols());
            System.out.println();

            if (ratio > PERCENTAGE_THRESHOLD) {
              // Key:1        Value:filename|ratio
              context.write(ONE, new Text(filename + "|" + ratio));
              //                        context.write(ONE, new Text(filename + "|" +
              // String.valueOf(goodMatches.size())));
            }
          } else {
            System.out.println("The size of the features are not equal");
          }
        } else {
          // a null pointer, do nothing
          System.out.println("A broken/null feature:" + filename);
          System.out.println();
        }
      }
    }
Beispiel #9
0
  /** Delete the dst files/dirs which do not exist in src */
  private static void deleteNonexisting(
      FileSystem dstfs,
      FileStatus dstroot,
      Path dstsorted,
      FileSystem jobfs,
      Path jobdir,
      JobConf jobconf,
      Configuration conf)
      throws IOException {
    if (!dstroot.isDir()) {
      throw new IOException(
          "dst must be a directory when option "
              + Options.DELETE.cmd
              + " is set, but dst (= "
              + dstroot.getPath()
              + ") is not a directory.");
    }

    // write dst lsr results
    final Path dstlsr = new Path(jobdir, "_distcp_dst_lsr");
    final SequenceFile.Writer writer =
        SequenceFile.createWriter(
            jobfs,
            jobconf,
            dstlsr,
            Text.class,
            FileStatus.class,
            SequenceFile.CompressionType.NONE);
    try {
      // do lsr to get all file statuses in dstroot
      final Stack<FileStatus> lsrstack = new Stack<FileStatus>();
      for (lsrstack.push(dstroot); !lsrstack.isEmpty(); ) {
        final FileStatus status = lsrstack.pop();
        if (status.isDir()) {
          for (FileStatus child : dstfs.listStatus(status.getPath())) {
            String relative = makeRelative(dstroot.getPath(), child.getPath());
            writer.append(new Text(relative), child);
            lsrstack.push(child);
          }
        }
      }
    } finally {
      checkAndClose(writer);
    }

    // sort lsr results
    final Path sortedlsr = new Path(jobdir, "_distcp_dst_lsr_sorted");
    SequenceFile.Sorter sorter =
        new SequenceFile.Sorter(
            jobfs, new Text.Comparator(), Text.class, FileStatus.class, jobconf);
    sorter.sort(dstlsr, sortedlsr);

    // compare lsr list and dst list
    SequenceFile.Reader lsrin = null;
    SequenceFile.Reader dstin = null;
    try {
      lsrin = new SequenceFile.Reader(jobfs, sortedlsr, jobconf);
      dstin = new SequenceFile.Reader(jobfs, dstsorted, jobconf);

      // compare sorted lsr list and sorted dst list
      final Text lsrpath = new Text();
      final FileStatus lsrstatus = new FileStatus();
      final Text dstpath = new Text();
      final Text dstfrom = new Text();
      final FsShell shell = new FsShell(conf);
      final String[] shellargs = {"-rmr", null};

      boolean hasnext = dstin.next(dstpath, dstfrom);
      for (; lsrin.next(lsrpath, lsrstatus); ) {
        int dst_cmp_lsr = dstpath.compareTo(lsrpath);
        for (; hasnext && dst_cmp_lsr < 0; ) {
          hasnext = dstin.next(dstpath, dstfrom);
          dst_cmp_lsr = dstpath.compareTo(lsrpath);
        }

        if (dst_cmp_lsr == 0) {
          // lsrpath exists in dst, skip it
          hasnext = dstin.next(dstpath, dstfrom);
        } else {
          // lsrpath does not exist, delete it
          String s = new Path(dstroot.getPath(), lsrpath.toString()).toString();
          if (shellargs[1] == null || !isAncestorPath(shellargs[1], s)) {
            shellargs[1] = s;
            int r = 0;
            try {
              r = shell.run(shellargs);
            } catch (Exception e) {
              throw new IOException("Exception from shell.", e);
            }
            if (r != 0) {
              throw new IOException(
                  "\"" + shellargs[0] + " " + shellargs[1] + "\" returns non-zero value " + r);
            }
          }
        }
      }
    } finally {
      checkAndClose(lsrin);
      checkAndClose(dstin);
    }
  }
Beispiel #10
0
    public void map(
        WritableComparable<?> key,
        Text value,
        OutputCollector<Text, CrawlDatum> output,
        Reporter reporter)
        throws IOException {
      String url = value.toString(); // value is line of text

      if (url != null && url.trim().startsWith("#")) {
        /* Ignore line that start with # */
        return;
      }

      // if tabs : metadata that could be stored
      // must be name=value and separated by \t
      float customScore = -1f;
      int customInterval = interval;
      int fixedInterval = -1;
      Map<String, String> metadata = new TreeMap<String, String>();
      if (url.indexOf("\t") != -1) {
        String[] splits = url.split("\t");
        url = splits[0];
        for (int s = 1; s < splits.length; s++) {
          // find separation between name and value
          int indexEquals = splits[s].indexOf("=");
          if (indexEquals == -1) {
            // skip anything without a =
            continue;
          }
          String metaname = splits[s].substring(0, indexEquals);
          String metavalue = splits[s].substring(indexEquals + 1);
          if (metaname.equals(nutchScoreMDName)) {
            try {
              customScore = Float.parseFloat(metavalue);
            } catch (NumberFormatException nfe) {
            }
          } else if (metaname.equals(nutchFetchIntervalMDName)) {
            try {
              customInterval = Integer.parseInt(metavalue);
            } catch (NumberFormatException nfe) {
            }
          } else if (metaname.equals(nutchFixedFetchIntervalMDName)) {
            try {
              fixedInterval = Integer.parseInt(metavalue);
            } catch (NumberFormatException nfe) {
            }
          } else metadata.put(metaname, metavalue);
        }
      }
      try {
        url = urlNormalizers.normalize(url, URLNormalizers.SCOPE_INJECT);
        url = filters.filter(url); // filter the url
      } catch (Exception e) {
        if (LOG.isWarnEnabled()) {
          LOG.warn("Skipping " + url + ":" + e);
        }
        url = null;
      }
      if (url == null) {
        reporter.getCounter("injector", "urls_filtered").increment(1);
      } else { // if it passes
        value.set(url); // collect it
        CrawlDatum datum = new CrawlDatum();
        datum.setStatus(CrawlDatum.STATUS_INJECTED);

        // Is interval custom? Then set as meta data
        if (fixedInterval > -1) {
          // Set writable using float. Flaot is used by AdaptiveFetchSchedule
          datum
              .getMetaData()
              .put(Nutch.WRITABLE_FIXED_INTERVAL_KEY, new FloatWritable(fixedInterval));
          datum.setFetchInterval(fixedInterval);
        } else {
          datum.setFetchInterval(customInterval);
        }

        datum.setFetchTime(curTime);
        // now add the metadata
        Iterator<String> keysIter = metadata.keySet().iterator();
        while (keysIter.hasNext()) {
          String keymd = keysIter.next();
          String valuemd = metadata.get(keymd);
          datum.getMetaData().put(new Text(keymd), new Text(valuemd));
        }
        if (customScore != -1) datum.setScore(customScore);
        else datum.setScore(scoreInjected);
        try {
          scfilters.injectedScore(value, datum);
        } catch (ScoringFilterException e) {
          if (LOG.isWarnEnabled()) {
            LOG.warn(
                "Cannot filter injected score for url "
                    + url
                    + ", using default ("
                    + e.getMessage()
                    + ")");
          }
        }
        reporter.getCounter("injector", "urls_injected").increment(1);
        output.collect(value, datum);
      }
    }