[4] | 1 | /* |
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| 2 | * This program is free software; you can redistribute it and/or modify |
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| 3 | * it under the terms of the GNU General Public License as published by |
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| 4 | * the Free Software Foundation; either version 2 of the License, or |
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| 5 | * (at your option) any later version. |
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| 6 | * |
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| 7 | * This program is distributed in the hope that it will be useful, |
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| 8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 10 | * GNU General Public License for more details. |
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| 11 | * |
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| 12 | * You should have received a copy of the GNU General Public License |
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| 13 | * along with this program; if not, write to the Free Software |
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| 14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
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| 15 | */ |
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| 16 | |
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| 17 | /* |
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| 18 | * ResultSetHelper.java |
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| 19 | * Copyright (C) 2005 University of Waikato, Hamilton, New Zealand |
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| 20 | * |
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| 21 | */ |
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| 22 | |
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| 23 | |
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| 24 | package weka.gui.sql; |
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| 25 | |
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| 26 | import java.sql.ResultSet; |
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| 27 | import java.sql.ResultSetMetaData; |
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| 28 | import java.sql.Types; |
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| 29 | import java.util.Vector; |
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| 30 | |
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| 31 | /** |
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| 32 | * Represents an extended JTable, containing a table model based on a ResultSet |
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| 33 | * and the corresponding query. |
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| 34 | * |
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| 35 | * @author FracPete (fracpete at waikato dot ac dot nz) |
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| 36 | * @version $Revision: 5324 $ |
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| 37 | */ |
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| 38 | public class ResultSetHelper { |
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| 39 | |
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| 40 | /** the resultset to work on. */ |
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| 41 | protected ResultSet m_ResultSet; |
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| 42 | |
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| 43 | /** whether we initialized. */ |
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| 44 | protected boolean m_Initialized = false; |
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| 45 | |
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| 46 | /** the maximum number of rows to retrieve. */ |
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| 47 | protected int m_MaxRows = 0; |
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| 48 | |
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| 49 | /** the number of columns. */ |
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| 50 | protected int m_ColumnCount = 0; |
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| 51 | |
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| 52 | /** the number of rows. */ |
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| 53 | protected int m_RowCount = 0; |
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| 54 | |
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| 55 | /** the column names. */ |
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| 56 | protected String[] m_ColumnNames = null; |
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| 57 | |
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| 58 | /** whether a column is numeric. */ |
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| 59 | protected boolean[] m_NumericColumns = null; |
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| 60 | |
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| 61 | /** the class for each column. */ |
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| 62 | protected Class[] m_ColumnClasses = null; |
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| 63 | |
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| 64 | /** |
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| 65 | * initializes the helper, with unlimited number of rows. |
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| 66 | * |
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| 67 | * @param rs the resultset to work on |
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| 68 | */ |
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| 69 | public ResultSetHelper(ResultSet rs) { |
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| 70 | this(rs, 0); |
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| 71 | } |
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| 72 | |
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| 73 | /** |
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| 74 | * initializes the helper, with the given maximum number of rows (less than |
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| 75 | * 1 means unlimited). |
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| 76 | * |
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| 77 | * @param rs the resultset to work on |
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| 78 | * @param max the maximum number of rows to retrieve |
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| 79 | */ |
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| 80 | public ResultSetHelper(ResultSet rs, int max) { |
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| 81 | super(); |
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| 82 | |
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| 83 | m_ResultSet = rs; |
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| 84 | m_MaxRows = max; |
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| 85 | } |
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| 86 | |
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| 87 | /** |
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| 88 | * initializes, i.e. reads the data, etc. |
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| 89 | */ |
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| 90 | protected void initialize() { |
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| 91 | ResultSetMetaData meta; |
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| 92 | int i; |
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| 93 | |
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| 94 | if (m_Initialized) |
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| 95 | return; |
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| 96 | |
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| 97 | try { |
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| 98 | meta = m_ResultSet.getMetaData(); |
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| 99 | |
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| 100 | // columns names |
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| 101 | m_ColumnNames = new String[meta.getColumnCount()]; |
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| 102 | for (i = 1; i <= meta.getColumnCount(); i++) |
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| 103 | m_ColumnNames[i - 1] = meta.getColumnName(i); |
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| 104 | |
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| 105 | // numeric columns |
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| 106 | m_NumericColumns = new boolean[meta.getColumnCount()]; |
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| 107 | for (i = 1; i <= meta.getColumnCount(); i++) |
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| 108 | m_NumericColumns[i - 1] = typeIsNumeric(meta.getColumnType(i)); |
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| 109 | |
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| 110 | // column classes |
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| 111 | m_ColumnClasses = new Class[meta.getColumnCount()]; |
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| 112 | for (i = 1; i <= meta.getColumnCount(); i++) { |
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| 113 | try { |
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| 114 | m_ColumnClasses[i - 1] = typeToClass(meta.getColumnType(i)); |
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| 115 | } |
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| 116 | catch (Exception ex) { |
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| 117 | m_ColumnClasses[i - 1] = String.class; |
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| 118 | } |
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| 119 | } |
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| 120 | |
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| 121 | // dimensions |
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| 122 | m_ColumnCount = meta.getColumnCount(); |
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| 123 | |
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| 124 | // if the JDBC driver doesn't support scrolling we can't determine |
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| 125 | // the row count here |
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| 126 | if (m_ResultSet.getType() == ResultSet.TYPE_FORWARD_ONLY) { |
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| 127 | m_RowCount = -1; |
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| 128 | } |
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| 129 | else { |
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| 130 | m_RowCount = 0; |
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| 131 | m_ResultSet.first(); |
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| 132 | if (m_MaxRows > 0) { |
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| 133 | try { |
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| 134 | m_ResultSet.absolute(m_MaxRows); |
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| 135 | m_RowCount = m_ResultSet.getRow(); |
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| 136 | } |
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| 137 | catch (Exception ex) { |
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| 138 | // ignore it |
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| 139 | } |
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| 140 | } |
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| 141 | else { |
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| 142 | m_ResultSet.last(); |
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| 143 | m_RowCount = m_ResultSet.getRow(); |
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| 144 | } |
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| 145 | |
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| 146 | // sometimes, e.g. with a "desc <table>", we can't use absolute(int) |
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| 147 | // and getRow()??? |
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| 148 | try { |
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| 149 | if ( (m_RowCount == 0) && (m_ResultSet.first()) ) { |
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| 150 | m_RowCount = 1; |
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| 151 | while (m_ResultSet.next()) { |
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| 152 | m_RowCount++; |
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| 153 | if (m_ResultSet.getRow() == m_MaxRows) |
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| 154 | break; |
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| 155 | }; |
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| 156 | } |
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| 157 | } |
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| 158 | catch (Exception e) { |
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| 159 | // ignore it |
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| 160 | } |
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| 161 | } |
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| 162 | |
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| 163 | m_Initialized = true; |
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| 164 | } |
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| 165 | catch (Exception ex) { |
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| 166 | // ignore it |
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| 167 | } |
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| 168 | } |
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| 169 | |
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| 170 | /** |
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| 171 | * the underlying resultset. |
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| 172 | * |
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| 173 | * @return the resultset |
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| 174 | */ |
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| 175 | public ResultSet getResultSet() { |
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| 176 | return m_ResultSet; |
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| 177 | } |
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| 178 | |
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| 179 | /** |
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| 180 | * returns the number of columns in the resultset. |
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| 181 | * |
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| 182 | * @return the number of columns |
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| 183 | */ |
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| 184 | public int getColumnCount() { |
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| 185 | initialize(); |
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| 186 | |
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| 187 | return m_ColumnCount; |
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| 188 | } |
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| 189 | |
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| 190 | /** |
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| 191 | * returns the number of rows in the resultset. If -1 then the number of |
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| 192 | * rows couldn't be determined, i.e., the cursors aren't scrollable. |
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| 193 | * |
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| 194 | * @return the number of rows, -1 if it wasn't possible to |
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| 195 | * determine |
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| 196 | */ |
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| 197 | public int getRowCount() { |
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| 198 | initialize(); |
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| 199 | |
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| 200 | return m_RowCount; |
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| 201 | } |
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| 202 | |
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| 203 | /** |
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| 204 | * returns an array with the names of the columns in the resultset. |
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| 205 | * |
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| 206 | * @return the column names |
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| 207 | */ |
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| 208 | public String[] getColumnNames() { |
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| 209 | initialize(); |
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| 210 | |
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| 211 | return m_ColumnNames; |
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| 212 | } |
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| 213 | |
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| 214 | /** |
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| 215 | * returns an array that indicates whether a column is numeric or nor. |
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| 216 | * |
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| 217 | * @return the numeric columns |
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| 218 | */ |
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| 219 | public boolean[] getNumericColumns() { |
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| 220 | initialize(); |
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| 221 | |
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| 222 | return m_NumericColumns; |
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| 223 | } |
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| 224 | |
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| 225 | /** |
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| 226 | * returns the classes for the columns. |
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| 227 | * |
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| 228 | * @return the column classes |
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| 229 | */ |
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| 230 | public Class[] getColumnClasses() { |
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| 231 | initialize(); |
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| 232 | |
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| 233 | return m_ColumnClasses; |
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| 234 | } |
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| 235 | |
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| 236 | /** |
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| 237 | * whether a limit on the rows to retrieve was set. |
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| 238 | * |
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| 239 | * @return true if there's a limit |
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| 240 | */ |
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| 241 | public boolean hasMaxRows() { |
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| 242 | return (m_MaxRows > 0); |
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| 243 | } |
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| 244 | |
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| 245 | /** |
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| 246 | * the maximum number of rows to retrieve, less than 1 means unlimited. |
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| 247 | * |
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| 248 | * @return the maximum number of rows |
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| 249 | */ |
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| 250 | public int getMaxRows() { |
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| 251 | return m_MaxRows; |
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| 252 | } |
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| 253 | |
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| 254 | /** |
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| 255 | * returns an 2-dimensional array with the content of the resultset, the first |
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| 256 | * dimension is the row, the second the column (i.e., getCells()[y][x]). |
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| 257 | * Note: the data is not cached! It is always retrieved anew. |
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| 258 | * |
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| 259 | * @return the data |
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| 260 | */ |
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| 261 | public Object[][] getCells() { |
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| 262 | int i; |
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| 263 | int n; |
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| 264 | Vector<Object[]> result; |
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| 265 | Object[] row; |
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| 266 | int rowCount; |
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| 267 | boolean proceed; |
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| 268 | |
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| 269 | initialize(); |
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| 270 | |
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| 271 | result = new Vector<Object[]>(); |
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| 272 | |
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| 273 | try { |
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| 274 | |
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| 275 | // do know the number of rows? |
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| 276 | rowCount = getRowCount(); |
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| 277 | if (rowCount == -1) { |
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| 278 | rowCount = getMaxRows(); |
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| 279 | proceed = m_ResultSet.next(); |
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| 280 | } |
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| 281 | else { |
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| 282 | proceed = m_ResultSet.first(); |
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| 283 | } |
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| 284 | |
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| 285 | if (proceed) { |
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| 286 | i = 0; |
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| 287 | while (true) { |
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| 288 | row = new Object[getColumnCount()]; |
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| 289 | result.add(row); |
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| 290 | |
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| 291 | for (n = 0; n < getColumnCount(); n++) { |
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| 292 | try { |
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| 293 | // to get around byte arrays when using getObject(int) |
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| 294 | if (getColumnClasses()[n] == String.class) |
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| 295 | row[n] = m_ResultSet.getString(n + 1); |
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| 296 | else |
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| 297 | row[n] = m_ResultSet.getObject(n + 1); |
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| 298 | } |
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| 299 | catch (Exception e) { |
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| 300 | row[n] = null; |
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| 301 | } |
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| 302 | } |
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| 303 | |
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| 304 | // get next row, if possible |
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| 305 | if (i == rowCount - 1) { |
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| 306 | break; |
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| 307 | } |
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| 308 | else { |
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| 309 | // no more rows -> exit |
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| 310 | if (!m_ResultSet.next()) |
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| 311 | break; |
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| 312 | } |
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| 313 | |
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| 314 | i++; |
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| 315 | } |
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| 316 | } |
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| 317 | } |
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| 318 | catch (Exception e) { |
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| 319 | e.printStackTrace(); |
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| 320 | } |
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| 321 | |
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| 322 | return result.toArray(new Object[result.size()][getColumnCount()]); |
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| 323 | } |
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| 324 | |
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| 325 | /** |
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| 326 | * Returns the class associated with a SQL type. |
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| 327 | * |
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| 328 | * @param type the SQL type |
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| 329 | * @return the Java class corresponding with the type |
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| 330 | */ |
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| 331 | public static Class typeToClass(int type) { |
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| 332 | Class result; |
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| 333 | |
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| 334 | switch (type) { |
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| 335 | case Types.BIGINT : |
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| 336 | result = Long.class; |
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| 337 | break; |
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| 338 | case Types.BINARY: |
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| 339 | result = String.class; |
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| 340 | case Types.BIT: |
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| 341 | result = Boolean.class; |
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| 342 | break; |
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| 343 | case Types.CHAR: |
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| 344 | result = Character.class; |
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| 345 | break; |
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| 346 | case Types.DATE: |
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| 347 | result = java.sql.Date.class; |
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| 348 | break; |
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| 349 | case Types.DECIMAL: |
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| 350 | result = Double.class; |
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| 351 | break; |
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| 352 | case Types.DOUBLE: |
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| 353 | result = Double.class; |
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| 354 | break; |
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| 355 | case Types.FLOAT: |
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| 356 | result = Float.class; |
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| 357 | break; |
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| 358 | case Types.INTEGER: |
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| 359 | result = Integer.class; |
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| 360 | break; |
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| 361 | case Types.LONGVARBINARY: |
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| 362 | result = String.class; |
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| 363 | break; |
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| 364 | case Types.LONGVARCHAR: |
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| 365 | result = String.class; |
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| 366 | break; |
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| 367 | case Types.NULL: |
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| 368 | result = String.class; |
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| 369 | break; |
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| 370 | case Types.NUMERIC: |
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| 371 | result = Double.class; |
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| 372 | break; |
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| 373 | case Types.OTHER: |
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| 374 | result = String.class; |
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| 375 | break; |
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| 376 | case Types.REAL: |
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| 377 | result = Double.class; |
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| 378 | break; |
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| 379 | case Types.SMALLINT: |
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| 380 | result = Short.class; |
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| 381 | break; |
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| 382 | case Types.TIME: |
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| 383 | result = java.sql.Time.class; |
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| 384 | break; |
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| 385 | case Types.TIMESTAMP: |
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| 386 | result = java.sql.Timestamp.class; |
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| 387 | break; |
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| 388 | case Types.TINYINT: |
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| 389 | result = Short.class; |
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| 390 | break; |
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| 391 | case Types.VARBINARY: |
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| 392 | result = String.class; |
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| 393 | break; |
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| 394 | case Types.VARCHAR: |
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| 395 | result = String.class; |
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| 396 | break; |
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| 397 | default: |
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| 398 | result = null; |
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| 399 | } |
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| 400 | |
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| 401 | return result; |
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| 402 | } |
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| 403 | |
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| 404 | /** |
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| 405 | * returns whether the SQL type is numeric (and therefore the justification |
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| 406 | * should be right). |
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| 407 | * |
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| 408 | * @param type the SQL type |
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| 409 | * @return whether the given type is numeric |
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| 410 | */ |
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| 411 | public static boolean typeIsNumeric(int type) { |
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| 412 | boolean result; |
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| 413 | |
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| 414 | switch (type) { |
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| 415 | case Types.BIGINT : |
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| 416 | result = true; |
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| 417 | break; |
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| 418 | case Types.BINARY: |
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| 419 | result = false; |
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| 420 | case Types.BIT: |
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| 421 | result = false; |
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| 422 | break; |
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| 423 | case Types.CHAR: |
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| 424 | result = false; |
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| 425 | break; |
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| 426 | case Types.DATE: |
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| 427 | result = false; |
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| 428 | break; |
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| 429 | case Types.DECIMAL: |
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| 430 | result = true; |
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| 431 | break; |
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| 432 | case Types.DOUBLE: |
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| 433 | result = true; |
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| 434 | break; |
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| 435 | case Types.FLOAT: |
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| 436 | result = true; |
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| 437 | break; |
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| 438 | case Types.INTEGER: |
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| 439 | result = true; |
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| 440 | break; |
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| 441 | case Types.LONGVARBINARY: |
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| 442 | result = false; |
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| 443 | break; |
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| 444 | case Types.LONGVARCHAR: |
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| 445 | result = false; |
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| 446 | break; |
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| 447 | case Types.NULL: |
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| 448 | result = false; |
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| 449 | break; |
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| 450 | case Types.NUMERIC: |
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| 451 | result = true; |
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| 452 | break; |
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| 453 | case Types.OTHER: |
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| 454 | result = false; |
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| 455 | break; |
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| 456 | case Types.REAL: |
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| 457 | result = true; |
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| 458 | break; |
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| 459 | case Types.SMALLINT: |
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| 460 | result = true; |
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| 461 | break; |
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| 462 | case Types.TIME: |
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| 463 | result = false; |
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| 464 | break; |
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| 465 | case Types.TIMESTAMP: |
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| 466 | result = true; |
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| 467 | break; |
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| 468 | case Types.TINYINT: |
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| 469 | result = true; |
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| 470 | break; |
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| 471 | case Types.VARBINARY: |
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| 472 | result = false; |
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| 473 | break; |
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| 474 | case Types.VARCHAR: |
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| 475 | result = false; |
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| 476 | break; |
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| 477 | default: |
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| 478 | result = false; |
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| 479 | } |
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| 480 | |
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| 481 | return result; |
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| 482 | } |
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| 483 | } |
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