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📄 instancequery.java

📁 Java 编写的多种数据挖掘算法 包括聚类、分类、预处理等
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      if (m_PreparedStatement.getUpdateCount() == -1) {        throw new Exception("Query didn't produce results");      }      else {        if (m_Debug)           System.err.println(m_PreparedStatement.getUpdateCount()               + " rows affected.");        return null;      }    }    ResultSet rs = getResultSet();    if (m_Debug)       System.err.println("Getting metadata...");    ResultSetMetaData md = rs.getMetaData();    if (m_Debug)       System.err.println("Completed getting metadata...");    // Determine structure of the instances    int numAttributes = md.getColumnCount();    int [] attributeTypes = new int [numAttributes];    Hashtable [] nominalIndexes = new Hashtable [numAttributes];    FastVector [] nominalStrings = new FastVector [numAttributes];    for (int i = 1; i <= numAttributes; i++) {      /* switch (md.getColumnType(i)) {      case Types.CHAR:      case Types.VARCHAR:      case Types.LONGVARCHAR:      case Types.BINARY:      case Types.VARBINARY:      case Types.LONGVARBINARY:*/            switch (translateDBColumnType(md.getColumnTypeName(i))) {	      case STRING :	//System.err.println("String --> nominal");	attributeTypes[i - 1] = Attribute.NOMINAL;	nominalIndexes[i - 1] = new Hashtable();	nominalStrings[i - 1] = new FastVector();	break;      case BOOL:	//System.err.println("boolean --> nominal");	attributeTypes[i - 1] = Attribute.NOMINAL;	nominalIndexes[i - 1] = new Hashtable();	nominalIndexes[i - 1].put("false", new Double(0));	nominalIndexes[i - 1].put("true", new Double(1));	nominalStrings[i - 1] = new FastVector();	nominalStrings[i - 1].addElement("false");	nominalStrings[i - 1].addElement("true");	break;      case DOUBLE:	//System.err.println("BigDecimal --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case BYTE:	//System.err.println("byte --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case SHORT:	//System.err.println("short --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case INTEGER:	//System.err.println("int --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case LONG:	//System.err.println("long --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case FLOAT:	//System.err.println("float --> numeric");	attributeTypes[i - 1] = Attribute.NUMERIC;	break;      case DATE:	attributeTypes[i - 1] = Attribute.DATE;	break;      default:	//System.err.println("Unknown column type");	attributeTypes[i - 1] = Attribute.STRING;      }    }    // Step through the tuples    if (m_Debug)       System.err.println("Creating instances...");    FastVector instances = new FastVector();    int rowCount = 0;    while(rs.next()) {      if (rowCount % 100 == 0) {        if (m_Debug)  {	  System.err.print("read " + rowCount + " instances \r");	  System.err.flush();        }      }      double[] vals = new double[numAttributes];      for(int i = 1; i <= numAttributes; i++) {	/*switch (md.getColumnType(i)) {	case Types.CHAR:	case Types.VARCHAR:	case Types.LONGVARCHAR:	case Types.BINARY:	case Types.VARBINARY:	case Types.LONGVARBINARY:*/	switch (translateDBColumnType(md.getColumnTypeName(i))) {	case STRING :	  String str = rs.getString(i);	  	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    Double index = (Double)nominalIndexes[i - 1].get(str);	    if (index == null) {	      index = new Double(nominalStrings[i - 1].size());	      nominalIndexes[i - 1].put(str, index);	      nominalStrings[i - 1].addElement(str);	    }	    vals[i - 1] = index.doubleValue();	  }	  break;	case BOOL:	  boolean boo = rs.getBoolean(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (boo ? 1.0 : 0.0);	  }	  break;	case DOUBLE:	  //	  BigDecimal bd = rs.getBigDecimal(i, 4); 	  double dd = rs.getDouble(i);	  // Use the column precision instead of 4?	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    //	    newInst.setValue(i - 1, bd.doubleValue());	    vals[i - 1] =  dd;	  }	  break;	case BYTE:	  byte by = rs.getByte(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (double)by;	  }	  break;	case SHORT:	  short sh = rs.getByte(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (double)sh;	  }	  break;	case INTEGER:	  int in = rs.getInt(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (double)in;	  }	  break;	case LONG:	  long lo = rs.getLong(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (double)lo;	  }	  break;	case FLOAT:	  float fl = rs.getFloat(i);	  if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {	    vals[i - 1] = (double)fl;	  }	  break;	case DATE:          Date date = rs.getDate(i);          if (rs.wasNull()) {	    vals[i - 1] = Instance.missingValue();	  } else {            // TODO: Do a value check here.            vals[i - 1] = (double)date.getTime();          }          break;	default:	  vals[i - 1] = Instance.missingValue();	}      }      Instance newInst;      if (m_CreateSparseData) {	newInst = new SparseInstance(1.0, vals);      } else {	newInst = new Instance(1.0, vals);      }      instances.addElement(newInst);      rowCount++;    }    //disconnectFromDatabase();  (perhaps other queries might be made)        // Create the header and add the instances to the dataset    if (m_Debug)       System.err.println("Creating header...");    FastVector attribInfo = new FastVector();    for (int i = 0; i < numAttributes; i++) {      /* Fix for databases that uppercase column names */      String attribName = attributeCaseFix(md.getColumnName(i + 1));      switch (attributeTypes[i]) {      case Attribute.NOMINAL:	attribInfo.addElement(new Attribute(attribName, nominalStrings[i]));	break;      case Attribute.NUMERIC:	attribInfo.addElement(new Attribute(attribName));	break;      case Attribute.STRING:	attribInfo.addElement(new Attribute(attribName, (FastVector)null));	break;      case Attribute.DATE:	attribInfo.addElement(new Attribute(attribName, (String)null));	break;      default:	throw new Exception("Unknown attribute type");      }    }    Instances result = new Instances("QueryResult", attribInfo, 				     instances.size());    for (int i = 0; i < instances.size(); i++) {      result.add((Instance)instances.elementAt(i));    }    rs.close();       return result;  }  /**   * Test the class from the command line. The instance   * query should be specified with -Q sql_query   *   * @param args contains options for the instance query   */  public static void main(String args[]) {    try {      InstanceQuery iq = new InstanceQuery();      String query = Utils.getOption('Q', args);      if (query.length() == 0) {	iq.setQuery("select * from Experiment_index");      } else {	iq.setQuery(query);      }      iq.setOptions(args);      try {	Utils.checkForRemainingOptions(args);      } catch (Exception e) {	System.err.println("Options for weka.experiment.InstanceQuery:\n");	Enumeration en = iq.listOptions();	while (en.hasMoreElements()) {	  Option o = (Option)en.nextElement();	  System.err.println(o.synopsis()+"\n"+o.description());	}	System.exit(1);      }           Instances aha = iq.retrieveInstances();      iq.disconnectFromDatabase();      // query returned no result -> exit      if (aha == null)        return;      // The dataset may be large, so to make things easier we'll      // output an instance at a time (rather than having to convert      // the entire dataset to one large string)      System.out.println(new Instances(aha, 0));      for (int i = 0; i < aha.numInstances(); i++) {	System.out.println(aha.instance(i));      }    } catch(Exception e) {      e.printStackTrace();      System.err.println(e.getMessage());    }  }}

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