예제 #1
0
  public List<Point2D.Double> debugColumnVersion(
      String timestamp, double latitude, double longitude, double radius) {

    this.getStatLog(this.STAT_FILE_NAME);
    long sTime = System.currentTimeMillis();
    // build up a raster
    XRaster raster = new XRaster(this.space, this.min_size_of_height, this.max_num_of_column);
    Point2D.Double point = new Point2D.Double(latitude, longitude);
    ResultScanner rScanner = null;
    // return result
    HashMap<String, String> results = new HashMap<String, String>();
    ArrayList<Point2D.Double> returnPoints = new ArrayList<Point2D.Double>();
    try {
      // match rect to find the subspace it belongs to
      XBox[] match_boxes = raster.match(latitude, longitude, radius);
      String[] rowRange = new String[2];
      rowRange[0] = match_boxes[0].getRow();
      rowRange[1] = match_boxes[1].getRow() + "0";

      String[] c = raster.getColumns(match_boxes[0], match_boxes[1]);
      // the version here is harded coded, because i cannot get how many
      // objects in one cell now
      FilterList fList = new FilterList();
      fList.addFilter(this.hbaseUtil.getInclusiveFilter(rowRange[1]));
      rScanner = this.hbaseUtil.getResultSet(rowRange, fList, this.familyName, c, 1000000);

      BixiReader reader = new BixiReader();
      int count = 0;
      int accepted = 0;

      int max_column = 0;
      int min_column = 10000;
      int max_version = 0;
      int min_version = 10000;
      int row_count = 0;
      int byte_lenght = 0;

      for (Result r : rScanner) {
        byte_lenght = r.getBytes().getLength();
        row_count++;

        NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> resultMap =
            r.getMap();

        int count_column = 0;
        for (byte[] family : resultMap.keySet()) {
          NavigableMap<byte[], NavigableMap<Long, byte[]>> columns = resultMap.get(family);
          count_column = 0;
          for (byte[] col : columns.keySet()) {
            NavigableMap<Long, byte[]> values = columns.get(col);
            count_column++;
            if (values.values().size() > max_version) {
              max_version = values.values().size();
            }
            if (values.values().size() < min_version) {
              min_version = values.values().size();
            }

            for (Long version : values.keySet()) {
              count++;
              // get the distance between this point and the given
              // point
              XStation station = reader.getStationFromJson(Bytes.toString(values.get(version)));

              Point2D.Double resPoint =
                  new Point2D.Double(station.getLatitude(), station.getlongitude());
              double distance = resPoint.distance(point);

              if (Bytes.toString(col).equals("0011")) {
                /*								System.out.println("!!!! key=>"+Bytes.toString(r.getRow())+
                ";column=>"+Bytes.toString(col)+
                ";version=>"+version+
                ";point=>"+resPoint.toString());*/
              }
              if (distance <= radius) {
                returnPoints.add(resPoint);
                // System.out.println("row=>"+Bytes.toString(r.getRow())
                // +
                // ";colum=>"+Bytes.toString(col)+";version=>"+version+
                // ";station=>"+station.getId()+";distance=>"+distance);
                accepted++;
                results.put(station.getId(), String.valueOf(distance));
              }
            }
          }
          if (count_column > max_column) max_column = count_column;
          if (count_column < min_column) min_column = count_column;
        }
      }
      System.out.println("byte_length=>" + byte_lenght + ";row_count=>" + row_count);
      System.out.println(
          "max_column=>"
              + max_column
              + ";min_column=>"
              + min_column
              + ";max_version=>"
              + max_version
              + ";min_version=>"
              + min_version);
      long eTime = System.currentTimeMillis();
      System.out.println(
          "count=>" + count + ";accepted=>" + accepted + ";time=>" + (eTime - sTime));
      String outStr =
          "radius=>"
              + radius
              + ";count=>"
              + count
              + ";accepted=>"
              + accepted
              + ";time=>"
              + (eTime - sTime)
              + ";row_stride=>"
              + this.min_size_of_height
              + ";columns=>"
              + this.max_num_of_column;
      this.writeStat(outStr);

    } catch (Exception e) {
      e.printStackTrace();
    } finally {
      this.hbaseUtil.closeTableHandler();
      this.closeStatLog();
    }
    return returnPoints;
  }
예제 #2
0
  @Override
  public TreeMap<Double, String> scanQueryAvailableKNN(
      String timestamp, double latitude, double longitude, int k) {
    this.getStatLog(STAT_FILE_NAME);
    long sTime = System.currentTimeMillis();
    // Step1: estimate the window circle for the first time
    int total_points =
        Integer.valueOf(this.conf.getProperty("total_num_of_points")); // 1000000000;//
    double areaOfMBB = this.space.width * this.space.height;
    double DensityOfMBB = total_points / areaOfMBB;
    double init_radius = Math.sqrt(k / DensityOfMBB);
    XRaster raster = new XRaster(this.space, this.min_size_of_height, this.max_num_of_column);

    longitude = Math.abs(longitude);
    int count = 0;
    int accepted = 0;
    ResultScanner rScanner = null;
    List<String> resultsList = new ArrayList<String>();
    BixiReader reader = new BixiReader();
    TreeMap<Double, String> sorted = null;
    try {
      // Step2: trigger a scan to get the points based on the above window
      int iteration = 1;

      long match_s = System.currentTimeMillis();
      double radius =
          (init_radius > this.min_size_of_height) ? init_radius : this.min_size_of_height;

      do {
        String str = "iteration" + iteration + "; count=>" + count + ";radius=>" + radius;
        this.writeStat(str);
        // match rect to find the subspace it belongs to
        XBox[] match_boxes = raster.match(latitude, longitude, radius);

        String[] rowRange = new String[2];
        rowRange[0] = match_boxes[0].getRow();
        rowRange[1] = match_boxes[1].getRow() + "-*";

        String[] c = raster.getColumns(match_boxes[0], match_boxes[1]);
        rScanner = this.hbaseUtil.getResultSet(rowRange, null, this.familyName, c, 1000000);

        count = 0;
        resultsList.clear();
        for (Result r : rScanner) {
          NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> resultMap =
              r.getMap();

          for (byte[] family : resultMap.keySet()) {
            NavigableMap<byte[], NavigableMap<Long, byte[]>> columns = resultMap.get(family);
            for (byte[] col : columns.keySet()) {
              NavigableMap<Long, byte[]> values = columns.get(col);
              for (Long version : values.keySet()) {
                resultsList.add(Bytes.toString(values.get(version)));
                count++;
              }
            }
          }
        }
        radius = init_radius * (iteration + 1);

        // Step3: get the result,estimate the window circle next depending on the previous step
        // result, util we got the K nodes
        /*				if(count == 0 && iteration ==1){ // when the first time count == 0
        	radius = radius * 2;
        }else if(count > 0 && iteration >0){ // when the first time count >0 && count < k
        	areaOfMBB = radius * radius;
        	DensityOfMBB = count / areaOfMBB;
        	radius = Math.sqrt(k / DensityOfMBB);
        }*/

      } while (count < k && (++iteration > 0));
      String str = "iteration" + iteration + "; count=>" + count + ";radius=>" + radius;
      this.writeStat(str);

      long match_time = System.currentTimeMillis() - match_s;

      // Step4: get all possible points and sort them by the distance and get the top K
      Point2D.Double point = new Point2D.Double(latitude, longitude);
      // result container
      HashMap<Double, String> distanceMap = new HashMap<Double, String>();

      for (String value : resultsList) {

        XStation station = reader.getStationFromJson(value);

        Point2D.Double resPoint = new Point2D.Double(station.getLatitude(), station.getlongitude());
        double distance = resPoint.distance(point);

        distanceMap.put(distance, station.getId());
      }

      sorted = new TreeMap<Double, String>(distanceMap);

      long eTime = System.currentTimeMillis();

      String outStr =
          "q=knn;m=>scan;"
              + ";count=>"
              + count
              + ";accepted=>"
              + accepted
              + ";time=>"
              + (eTime - sTime)
              + ";k=>"
              + k;
      this.writeStat(outStr);

    } catch (Exception e) {
      e.printStackTrace();
    } finally {
      this.hbaseUtil.closeTableHandler();
      this.closeStatLog();
    }
    return sorted;
  }
예제 #3
0
  @Override
  public List<String> copQueryAvailableNear(
      String timestamp, final double latitude, final double longitude, final double radius) {
    this.getStatLog(STAT_FILE_NAME);
    this.getCSVLog(this.FILE_NAME_PREFIX, 0);
    this.getCSVLog(this.FILE_NAME_PREFIX, 1);
    this.getCSVLog(this.FILE_NAME_PREFIX, 2);
    this.timePhase.clear();

    try {
      /** Step1** Call back class definition * */
      class BixiCallBack implements Batch.Callback<RCopResult> {
        RCopResult res = new RCopResult();
        int count = 0;
        QueryAbstraction query = null;

        public BixiCallBack(QueryAbstraction query) {
          this.query = query;
        }

        @Override
        public void update(byte[] region, byte[] row, RCopResult result) {
          long current = System.currentTimeMillis();
          count++;
          res.getRes().addAll(result.getRes()); // to verify the error when large data
          res.setStart(result.getStart());
          res.setEnd(result.getEnd());
          res.setRows((res.getRows() + result.getRows()));
          res.setCells(res.getCells() + result.getCells());
          // System.out.println((count++) + ": come back region: "+ Bytes.toString(region) + ";
          // result: "+ result.size());
          /*					String outStr="count=>"+count+";start=>"+result.getStart()+";end=>"+result.getEnd()+";process=>"+(result.getEnd()-result.getStart())+
          		";tranmission=>"+(System.currentTimeMillis()-result.getEnd())+
          		";region=>"+Bytes.toString(region)+
          		";row=>"+result.getRows()+";result=>"+result.getRes().size();
          this.query.writeStat(outStr);
            	outStr = query.regions.get(Bytes.toString(region)).toString();
            	this.query.writeStat(outStr);	*/
          // write them into csv file
          String outStr = "";
          outStr +=
              "within,"
                  + "cop,"
                  + result.getParameter()
                  + ","
                  + result.getStart()
                  + ","
                  + result.getEnd()
                  + ","
                  + current
                  + ","
                  + result.getRows()
                  + ","
                  + result.getCells()
                  + ","
                  + ","
                  + result.getKvLength()
                  + result.getRes().size()
                  + ","
                  + this.query.regionAndRS.get(Bytes.toString(region))
                  + ","
                  + Bytes.toString(region);
          this.query.writeCSVLog(outStr, 1);
        }
      }
      BixiCallBack callBack = new BixiCallBack(this);

      /** Step2** generate the scan ********** */
      long s_time = System.currentTimeMillis();
      this.timePhase.add(s_time);
      // build up the Raster
      XRaster raster = new XRaster(this.space, this.min_size_of_height, this.max_num_of_column);
      // match the query area in Raster to get the row range and column
      // range
      long match_s = System.currentTimeMillis();
      XBox[] match_boxes = raster.match(latitude, longitude, radius);
      long match_time = System.currentTimeMillis() - match_s;
      String[] rowRange = new String[2];
      rowRange[0] = match_boxes[0].getRow();
      rowRange[1] = match_boxes[1].getRow() + "-*";

      String[] c = raster.getColumns(match_boxes[0], match_boxes[1]);
      // generate the scan
      final Scan scan =
          hbaseUtil.generateScan(
              rowRange, null, new String[] {BixiConstant.LOCATION_FAMILY_NAME}, c, 1000000);

      /** Step3** send out the query to trigger the corresponding function in Coprocessor*** */
      this.timePhase.add(System.currentTimeMillis());
      hbaseUtil
          .getHTable()
          .coprocessorExec(
              BixiProtocol.class,
              scan.getStartRow(),
              scan.getStopRow(),
              new Batch.Call<BixiProtocol, RCopResult>() {

                public RCopResult call(BixiProtocol instance) throws IOException {
                  return instance.copQueryNeighbor4LS2(scan, latitude, longitude, radius);
                };
              },
              callBack);

      long e_time = System.currentTimeMillis();
      this.timePhase.add(e_time);

      long exe_time = e_time - s_time;

      /*			System.out.println("exe_time=>"+exe_time+";result=>"+callBack.res.getRes().size());
      String outStr = "m=>cop;"+"radius=>"+radius+";exe_time=>"+exe_time+";result=>"+callBack.res.getRes().size();
      this.writeStat(outStr);*/
      // write to csv file
      String outStr = "";
      outStr +=
          "within,"
              + "cop,"
              + callBack.res.getCells()
              + ","
              + callBack.res.getRes().size()
              + ","
              + exe_time
              + ","
              + callBack.res.getRows()
              + ","
              + match_time
              + ","
              + this.min_size_of_height
              + ","
              + radius;

      this.writeCSVLog(outStr, 0);

      String timeStr = "within,cop," + radius + ",";
      for (int i = 0; i < this.timePhase.size(); i++) {
        timeStr += this.timePhase.get(i) + ",";
      }
      this.writeCSVLog(timeStr, 2);

      return callBack.res.getRes();

    } catch (Exception e) {
      e.printStackTrace();
    } catch (Throwable ee) {
      ee.printStackTrace();
    } finally {
      hbaseUtil.closeTableHandler();
      this.closeStatLog();
      this.closeCSVLog();
    }
    return null;
  }
예제 #4
0
  @Override
  public HashMap<String, String> scanQueryAvailableNear(
      String timestamp, double latitude, double longitude, double radius) {

    this.getStatLog(STAT_FILE_NAME);
    this.getCSVLog(FILE_NAME_PREFIX, 0);
    this.getCSVLog(FILE_NAME_PREFIX, 2);
    this.timePhase.clear();
    long sTime = System.currentTimeMillis();
    this.timePhase.add(sTime);
    // build up a raster
    XRaster raster = new XRaster(this.space, this.min_size_of_height, this.max_num_of_column);
    Point2D.Double point = new Point2D.Double(latitude, longitude);
    ResultScanner rScanner = null;
    // return result
    HashMap<String, String> results = new HashMap<String, String>();
    try {
      // match rect to find the subspace it belongs to
      long match_s = System.currentTimeMillis();
      XBox[] match_boxes = raster.match(latitude, longitude, radius);
      long match_time = System.currentTimeMillis() - match_s;
      String[] rowRange = new String[2];
      rowRange[0] = match_boxes[0].getRow();
      rowRange[1] = match_boxes[1].getRow() + "-*";

      String[] c = raster.getColumns(match_boxes[0], match_boxes[1]);
      /*
       * System.out.println(rowRange[0]+":"+rowRange[1]); for(int
       * i=0;i<c.length;i++){ System.out.print(c[i]+";"); }
       * System.out.println();
       */
      // the version here is harded coded, because i cannot get how many
      // objects in one cell now
      this.timePhase.add(System.currentTimeMillis());
      rScanner = this.hbaseUtil.getResultSet(rowRange, null, this.familyName, c, 1000000);
      BixiReader reader = new BixiReader();
      int count = 0;
      int row = 0;
      int accepted = 0;

      for (Result r : rScanner) {

        NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> resultMap =
            r.getMap();

        for (byte[] family : resultMap.keySet()) {
          NavigableMap<byte[], NavigableMap<Long, byte[]>> columns = resultMap.get(family);
          for (byte[] col : columns.keySet()) {
            NavigableMap<Long, byte[]> values = columns.get(col);
            for (Long version : values.keySet()) {
              count++;
              // get the distance between this point and the given
              // point
              XStation station = reader.getStationFromJson(Bytes.toString(values.get(version)));

              Point2D.Double resPoint =
                  new Point2D.Double(station.getLatitude(), station.getlongitude());
              double distance = resPoint.distance(point);

              if (distance <= radius) {
                // System.out.println("row=>"+Bytes.toString(r.getRow())
                // +
                // ";colum=>"+Bytes.toString(col)+";version=>"+version+
                // ";station=>"+station.getId()+";distance=>"+distance);
                accepted++;
                results.put(station.getId(), String.valueOf(distance));
              }
            }
          }
        }
      }
      long eTime = System.currentTimeMillis();
      this.timePhase.add(eTime);
      String outStr =
          "m=scan;"
              + "radius=>"
              + radius
              + ";count=>"
              + count
              + ";accepted=>"
              + accepted
              + ";time=>"
              + (eTime - sTime)
              + ";row=>"
              + row
              + "row_stride=>"
              + this.min_size_of_height
              + ";columns=>"
              + this.max_num_of_column;
      ;
      this.writeStat(outStr);

      // write to csv file
      outStr = "";
      outStr +=
          "within,"
              + "scan,"
              + count
              + ","
              + accepted
              + ","
              + (eTime - sTime)
              + ","
              + row
              + ","
              + match_time
              + ","
              + this.min_size_of_height
              + ","
              + radius;

      this.writeCSVLog(outStr, 0);

      String timeStr = "within,scan," + radius + ",";
      for (int i = 0; i < this.timePhase.size(); i++) {
        timeStr += this.timePhase.get(i) + ",";
      }
      this.writeCSVLog(timeStr, 2);

    } catch (Exception e) {
      e.printStackTrace();
    } finally {
      this.hbaseUtil.closeTableHandler();
      this.closeStatLog();
      this.closeCSVLog();
    }
    return results;
  }