Source Code Cross Referenced for JDBC20DataHandler.java in  » Testing » Marathon » com » ziclix » python » sql » Java Source Code / Java DocumentationJava Source Code and Java Documentation

Java Source Code / Java Documentation
1. 6.0 JDK Core
2. 6.0 JDK Modules
3. 6.0 JDK Modules com.sun
4. 6.0 JDK Modules com.sun.java
5. 6.0 JDK Modules sun
6. 6.0 JDK Platform
7. Ajax
8. Apache Harmony Java SE
9. Aspect oriented
10. Authentication Authorization
11. Blogger System
12. Build
13. Byte Code
14. Cache
15. Chart
16. Chat
17. Code Analyzer
18. Collaboration
19. Content Management System
20. Database Client
21. Database DBMS
22. Database JDBC Connection Pool
23. Database ORM
24. Development
25. EJB Server geronimo
26. EJB Server GlassFish
27. EJB Server JBoss 4.2.1
28. EJB Server resin 3.1.5
29. ERP CRM Financial
30. ESB
31. Forum
32. GIS
33. Graphic Library
34. Groupware
35. HTML Parser
36. IDE
37. IDE Eclipse
38. IDE Netbeans
39. Installer
40. Internationalization Localization
41. Inversion of Control
42. Issue Tracking
43. J2EE
44. JBoss
45. JMS
46. JMX
47. Library
48. Mail Clients
49. Net
50. Parser
51. PDF
52. Portal
53. Profiler
54. Project Management
55. Report
56. RSS RDF
57. Rule Engine
58. Science
59. Scripting
60. Search Engine
61. Security
62. Sevlet Container
63. Source Control
64. Swing Library
65. Template Engine
66. Test Coverage
67. Testing
68. UML
69. Web Crawler
70. Web Framework
71. Web Mail
72. Web Server
73. Web Services
74. Web Services apache cxf 2.0.1
75. Web Services AXIS2
76. Wiki Engine
77. Workflow Engines
78. XML
79. XML UI
Java
Java Tutorial
Java Open Source
Jar File Download
Java Articles
Java Products
Java by API
Photoshop Tutorials
Maya Tutorials
Flash Tutorials
3ds-Max Tutorials
Illustrator Tutorials
GIMP Tutorials
C# / C Sharp
C# / CSharp Tutorial
C# / CSharp Open Source
ASP.Net
ASP.NET Tutorial
JavaScript DHTML
JavaScript Tutorial
JavaScript Reference
HTML / CSS
HTML CSS Reference
C / ANSI-C
C Tutorial
C++
C++ Tutorial
Ruby
PHP
Python
Python Tutorial
Python Open Source
SQL Server / T-SQL
SQL Server / T-SQL Tutorial
Oracle PL / SQL
Oracle PL/SQL Tutorial
PostgreSQL
SQL / MySQL
MySQL Tutorial
VB.Net
VB.Net Tutorial
Flash / Flex / ActionScript
VBA / Excel / Access / Word
XML
XML Tutorial
Microsoft Office PowerPoint 2007 Tutorial
Microsoft Office Excel 2007 Tutorial
Microsoft Office Word 2007 Tutorial
Java Source Code / Java Documentation » Testing » Marathon » com.ziclix.python.sql 
Source Cross Referenced  Class Diagram Java Document (Java Doc) 


001:        /*
002:         * Jython Database Specification API 2.0
003:         *
004:         * $Id: JDBC20DataHandler.java 2467 2005-05-12 02:38:59Z fwierzbicki $
005:         *
006:         * Copyright (c) 2001 brian zimmer <bzimmer@ziclix.com>
007:         *
008:         */
009:        package com.ziclix.python.sql;
010:
011:        import org.python.core.Py;
012:        import org.python.core.PyFile;
013:        import org.python.core.PyObject;
014:        import org.python.core.PyString;
015:
016:        import java.io.BufferedInputStream;
017:        import java.io.BufferedReader;
018:        import java.io.ByteArrayInputStream;
019:        import java.io.InputStream;
020:        import java.io.InputStreamReader;
021:        import java.io.Reader;
022:        import java.math.BigDecimal;
023:        import java.sql.Blob;
024:        import java.sql.PreparedStatement;
025:        import java.sql.ResultSet;
026:        import java.sql.SQLException;
027:        import java.sql.Types;
028:
029:        /**
030:         * Support for JDBC 2.x type mappings, including Arrays, CLOBs and BLOBs.
031:         *
032:         * @author brian zimmer
033:         * @author last revised by $Author: fwierzbicki $
034:         * @version $Revision: 2467 $
035:         */
036:        public class JDBC20DataHandler extends FilterDataHandler {
037:
038:            /**
039:             * Handle JDBC 2.0 datatypes.
040:             */
041:            public JDBC20DataHandler(DataHandler datahandler) {
042:                super (datahandler);
043:            }
044:
045:            /**
046:             * Handle CLOBs and BLOBs.
047:             *
048:             * @param stmt
049:             * @param index
050:             * @param object
051:             * @param type
052:             * @throws SQLException
053:             */
054:            public void setJDBCObject(PreparedStatement stmt, int index,
055:                    PyObject object, int type) throws SQLException {
056:
057:                if (DataHandler.checkNull(stmt, index, object, type)) {
058:                    return;
059:                }
060:
061:                switch (type) {
062:
063:                case Types.CLOB:
064:                    if (object instanceof  PyFile) {
065:                        object = new PyString(((PyFile) object).read());
066:                    }
067:
068:                    String clob = (String) object.__tojava__(String.class);
069:                    int length = clob.length();
070:                    InputStream stream = new ByteArrayInputStream(clob
071:                            .getBytes());
072:
073:                    stream = new BufferedInputStream(stream);
074:
075:                    stmt.setBinaryStream(index, stream, length);
076:
077:                    // Reader reader = new StringReader(clob);
078:                    // reader = new BufferedReader(reader);
079:                    // stmt.setCharacterStream(index, reader, length);
080:                    break;
081:
082:                case Types.BLOB:
083:                    byte[] lob = null;
084:                    Object jobject = null;
085:
086:                    if (object instanceof  PyFile) {
087:                        jobject = object.__tojava__(InputStream.class);
088:                    } else {
089:                        jobject = object.__tojava__(Object.class);
090:                    }
091:
092:                    // it really is unfortunate that I need to send the length of the stream
093:                    if (jobject instanceof  InputStream) {
094:                        lob = DataHandler.read(new BufferedInputStream(
095:                                (InputStream) jobject));
096:                    } else if (jobject instanceof  byte[]) {
097:                        lob = (byte[]) jobject;
098:                    }
099:
100:                    if (lob != null) {
101:                        stmt.setBytes(index, lob);
102:
103:                        break;
104:                    }
105:                default:
106:                    super .setJDBCObject(stmt, index, object, type);
107:                    break;
108:                }
109:            }
110:
111:            /**
112:             * Get the object from the result set.
113:             *
114:             * @param set
115:             * @param col
116:             * @param type
117:             * @return a Python object
118:             * @throws SQLException
119:             */
120:            public PyObject getPyObject(ResultSet set, int col, int type)
121:                    throws SQLException {
122:
123:                PyObject obj = Py.None;
124:
125:                switch (type) {
126:
127:                case Types.NUMERIC:
128:                case Types.DECIMAL:
129:
130:                    // in JDBC 2.0, use of a scale is deprecated
131:                    try {
132:                        BigDecimal bd = set.getBigDecimal(col);
133:
134:                        obj = (bd == null) ? Py.None : Py.newFloat(bd
135:                                .doubleValue());
136:                    } catch (SQLException e) {
137:                        obj = super .getPyObject(set, col, type);
138:                    }
139:                    break;
140:
141:                case Types.CLOB:
142:
143:                    /*
144:                     * It seems some drivers (well at least Informix) don't clean up after themselves
145:                     * if the Clob is requested.  The engine keeps a handle to an open table for each
146:                     * row requested and cleans up fully only when the ResultSet or Connection is closed.
147:                     * While this generally will never be noticed because the number of CLOBs or BLOBs
148:                     * queried will likely be small in the event a large number are queried, it is a huge
149:                     * problem.  So, handle it as low as possible by managing the stream directly.  I've
150:                     * decided to leave this in the generic JDBC20 handler because it works for all engines
151:                     * I've tested and seems to perform quite well to boot.
152:                     */
153:                    Reader reader = null;
154:
155:                    try {
156:                        InputStream stream = set.getBinaryStream(col);
157:
158:                        if (stream == null) {
159:                            obj = Py.None;
160:                        } else {
161:                            reader = new InputStreamReader(stream);
162:                            reader = new BufferedReader(reader);
163:                            obj = Py.newString(DataHandler.read(reader));
164:                        }
165:                    } finally {
166:                        if (reader != null) {
167:                            try {
168:                                reader.close();
169:                            } catch (Exception e) {
170:                            }
171:                        }
172:                    }
173:                    break;
174:
175:                case Types.BLOB:
176:                    Blob blob = set.getBlob(col);
177:
178:                    if (blob == null) {
179:                        obj = Py.None;
180:                    } else {
181:                        InputStream stream = null;
182:
183:                        try {
184:                            stream = blob.getBinaryStream();
185:                            stream = new BufferedInputStream(stream);
186:                            obj = Py.java2py(DataHandler.read(stream));
187:                        } finally {
188:                            if (stream != null) {
189:                                try {
190:                                    stream.close();
191:                                } catch (Exception e) {
192:                                }
193:                            }
194:                        }
195:                    }
196:                    break;
197:
198:                case Types.ARRAY:
199:                    obj = Py.java2py(set.getArray(col).getArray());
200:                    break;
201:
202:                default:
203:                    return super.getPyObject(set, col, type);
204:                }
205:
206:                return (set.wasNull() || (obj == null)) ? Py.None : obj;
207:            }
208:        }
www.java2java.com | Contact Us
Copyright 2009 - 12 Demo Source and Support. All rights reserved.
All other trademarks are property of their respective owners.