Mercurial > cpython-lru_cache-weakref
annotate Doc/lib/libsqlite3.tex @ 39940:dfd809dcf680 2.5
Bug #1446043: correctly raise a LookupError if an encoding name given
to encodings.search_function() contains a dot.
(backport from rev. 52075)
| author | Georg Brandl <georg@python.org> |
|---|---|
| date | Sat, 30 Sep 2006 11:22:35 +0000 |
| parents | 07a44bff967f |
| children | 7d79fd1816a8 |
| rev | line source |
|---|---|
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1 \section{\module{sqlite3} --- |
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2 DB-API 2.0 interface for SQLite databases} |
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3 |
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4 \declaremodule{builtin}{sqlite3} |
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5 \modulesynopsis{A DB-API 2.0 implementation using SQLite 3.x.} |
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6 \sectionauthor{Gerhard Häring}{gh@ghaering.de} |
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7 \versionadded{2.5} |
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8 |
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9 SQLite is a C library that provides a lightweight disk-based database |
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10 that doesn't require a separate server process and allows accessing |
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11 the database using a nonstandard variant of the SQL query language. |
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12 Some applications can use SQLite for internal data storage. It's also |
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13 possible to prototype an application using SQLite and then port the |
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14 code to a larger database such as PostgreSQL or Oracle. |
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15 |
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16 pysqlite was written by Gerhard H\"aring and provides a SQL interface |
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17 compliant with the DB-API 2.0 specification described by |
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18 \pep{249}. |
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19 |
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20 To use the module, you must first create a \class{Connection} object |
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21 that represents the database. Here the data will be stored in the |
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22 \file{/tmp/example} file: |
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23 |
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24 \begin{verbatim} |
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25 conn = sqlite3.connect('/tmp/example') |
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26 \end{verbatim} |
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27 |
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28 You can also supply the special name \samp{:memory:} to create |
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29 a database in RAM. |
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30 |
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31 Once you have a \class{Connection}, you can create a \class{Cursor} |
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32 object and call its \method{execute()} method to perform SQL commands: |
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33 |
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34 \begin{verbatim} |
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35 c = conn.cursor() |
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36 |
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37 # Create table |
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38 c.execute('''create table stocks |
| 39815 | 39 (date text, trans text, symbol text, |
| 40 qty real, price real)''') | |
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41 |
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42 # Insert a row of data |
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43 c.execute("""insert into stocks |
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44 values ('2006-01-05','BUY','RHAT',100,35.14)""") |
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45 \end{verbatim} |
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46 |
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47 Usually your SQL operations will need to use values from Python |
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48 variables. You shouldn't assemble your query using Python's string |
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49 operations because doing so is insecure; it makes your program |
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50 vulnerable to an SQL injection attack. |
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51 |
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52 Instead, use the DB-API's parameter substitution. Put \samp{?} as a |
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53 placeholder wherever you want to use a value, and then provide a tuple |
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54 of values as the second argument to the cursor's \method{execute()} |
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55 method. (Other database modules may use a different placeholder, |
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56 such as \samp{\%s} or \samp{:1}.) For example: |
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57 |
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58 \begin{verbatim} |
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59 # Never do this -- insecure! |
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60 symbol = 'IBM' |
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61 c.execute("... where symbol = '%s'" % symbol) |
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62 |
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63 # Do this instead |
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64 t = (symbol,) |
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65 c.execute('select * from stocks where symbol=?', t) |
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66 |
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67 # Larger example |
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68 for t in (('2006-03-28', 'BUY', 'IBM', 1000, 45.00), |
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69 ('2006-04-05', 'BUY', 'MSOFT', 1000, 72.00), |
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70 ('2006-04-06', 'SELL', 'IBM', 500, 53.00), |
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71 ): |
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72 c.execute('insert into stocks values (?,?,?,?,?)', t) |
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73 \end{verbatim} |
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74 |
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75 To retrieve data after executing a SELECT statement, you can either |
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76 treat the cursor as an iterator, call the cursor's \method{fetchone()} |
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77 method to retrieve a single matching row, |
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78 or call \method{fetchall()} to get a list of the matching rows. |
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79 |
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80 This example uses the iterator form: |
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81 |
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82 \begin{verbatim} |
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83 >>> c = conn.cursor() |
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84 >>> c.execute('select * from stocks order by price') |
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85 >>> for row in c: |
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86 ... print row |
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87 ... |
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88 (u'2006-01-05', u'BUY', u'RHAT', 100, 35.140000000000001) |
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89 (u'2006-03-28', u'BUY', u'IBM', 1000, 45.0) |
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90 (u'2006-04-06', u'SELL', u'IBM', 500, 53.0) |
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91 (u'2006-04-05', u'BUY', u'MSOFT', 1000, 72.0) |
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92 >>> |
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93 \end{verbatim} |
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94 |
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95 \begin{seealso} |
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96 |
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97 \seeurl{http://www.pysqlite.org} |
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98 {The pysqlite web page.} |
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99 |
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100 \seeurl{http://www.sqlite.org} |
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101 {The SQLite web page; the documentation describes the syntax and the |
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102 available data types for the supported SQL dialect.} |
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103 |
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104 \seepep{249}{Database API Specification 2.0}{PEP written by |
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105 Marc-Andr\'e Lemburg.} |
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106 |
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107 \end{seealso} |
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108 |
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109 |
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110 \subsection{Module functions and constants\label{sqlite3-Module-Contents}} |
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111 |
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112 \begin{datadesc}{PARSE_DECLTYPES} |
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113 This constant is meant to be used with the \var{detect_types} parameter of the |
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114 \function{connect} function. |
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115 |
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116 Setting it makes the \module{sqlite3} module parse the declared type for each column it |
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117 returns. It will parse out the first word of the declared type, i. e. for |
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118 "integer primary key", it will parse out "integer". Then for that column, it |
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119 will look into the converters dictionary and use the converter function |
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120 registered for that type there. Converter names are case-sensitive! |
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121 \end{datadesc} |
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122 |
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123 |
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124 \begin{datadesc}{PARSE_COLNAMES} |
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125 This constant is meant to be used with the \var{detect_types} parameter of the |
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126 \function{connect} function. |
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127 |
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128 Setting this makes the SQLite interface parse the column name for each column |
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129 it returns. It will look for a string formed [mytype] in there, and then |
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130 decide that 'mytype' is the type of the column. It will try to find an entry of |
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131 'mytype' in the converters dictionary and then use the converter function found |
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132 there to return the value. The column name found in \member{cursor.description} is only |
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133 the first word of the column name, i. e. if you use something like |
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134 \code{'as "x [datetime]"'} in your SQL, then we will parse out everything until the |
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135 first blank for the column name: the column name would simply be "x". |
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136 \end{datadesc} |
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137 |
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138 \begin{funcdesc}{connect}{database\optional{, timeout, isolation_level, detect_types, factory}} |
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139 Opens a connection to the SQLite database file \var{database}. You can use |
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140 \code{":memory:"} to open a database connection to a database that resides in |
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141 RAM instead of on disk. |
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142 |
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143 When a database is accessed by multiple connections, and one of the processes |
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144 modifies the database, the SQLite database is locked until that transaction is |
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145 committed. The \var{timeout} parameter specifies how long the connection should |
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146 wait for the lock to go away until raising an exception. The default for the |
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147 timeout parameter is 5.0 (five seconds). |
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148 |
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149 For the \var{isolation_level} parameter, please see the \member{isolation_level} |
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150 property of \class{Connection} objects in section~\ref{sqlite3-Connection-IsolationLevel}. |
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151 |
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152 SQLite natively supports only the types TEXT, INTEGER, FLOAT, BLOB and NULL. If |
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153 you want to use other types, like you have to add support for them yourself. |
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154 The \var{detect_types} parameter and the using custom \strong{converters} registered with |
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155 the module-level \function{register_converter} function allow you to easily do that. |
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156 |
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157 \var{detect_types} defaults to 0 (i. e. off, no type detection), you can set it |
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158 to any combination of \constant{PARSE_DECLTYPES} and \constant{PARSE_COLNAMES} to turn type |
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159 detection on. |
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160 |
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161 By default, the \module{sqlite3} module uses its \class{Connection} class for the |
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162 connect call. You can, however, subclass the \class{Connection} class and make |
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163 \function{connect} use your class instead by providing your class for the |
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164 \var{factory} parameter. |
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165 |
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166 Consult the section \ref{sqlite3-Types} of this manual for details. |
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167 |
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168 The \module{sqlite3} module internally uses a statement cache to avoid SQL parsing |
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169 overhead. If you want to explicitly set the number of statements that are |
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170 cached for the connection, you can set the \var{cached_statements} parameter. |
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171 The currently implemented default is to cache 100 statements. |
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172 \end{funcdesc} |
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173 |
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174 \begin{funcdesc}{register_converter}{typename, callable} |
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175 Registers a callable to convert a bytestring from the database into a custom |
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176 Python type. The callable will be invoked for all database values that are of |
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177 the type \var{typename}. Confer the parameter \var{detect_types} of the |
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178 \function{connect} function for how the type detection works. Note that the case of |
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179 \var{typename} and the name of the type in your query must match! |
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180 \end{funcdesc} |
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181 |
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182 \begin{funcdesc}{register_adapter}{type, callable} |
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183 Registers a callable to convert the custom Python type \var{type} into one of |
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184 SQLite's supported types. The callable \var{callable} accepts as single |
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185 parameter the Python value, and must return a value of the following types: |
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186 int, long, float, str (UTF-8 encoded), unicode or buffer. |
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187 \end{funcdesc} |
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188 |
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189 \begin{funcdesc}{complete_statement}{sql} |
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190 Returns \constant{True} if the string \var{sql} one or more complete SQL |
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191 statements terminated by semicolons. It does not verify if the SQL is |
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192 syntactically correct, only if there are no unclosed string literals and if the |
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193 statement is terminated by a semicolon. |
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194 |
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195 This can be used to build a shell for SQLite, like in the following example: |
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196 |
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197 \verbatiminput{sqlite3/complete_statement.py} |
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198 \end{funcdesc} |
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199 |
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200 \begin{funcdesc}{enable_callback_tracebacks}{flag} |
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201 By default you will not get any tracebacks in user-defined functions, |
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202 aggregates, converters, authorizer callbacks etc. If you want to debug them, |
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203 you can call this function with \var{flag} as True. Afterwards, you will get |
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204 tracebacks from callbacks on \code{sys.stderr}. Use \constant{False} to disable |
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205 the feature again. |
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206 \end{funcdesc} |
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207 |
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208 \subsection{Connection Objects \label{sqlite3-Connection-Objects}} |
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209 |
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210 A \class{Connection} instance has the following attributes and methods: |
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211 |
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212 \label{sqlite3-Connection-IsolationLevel} |
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213 \begin{memberdesc}{isolation_level} |
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214 Get or set the current isolation level. None for autocommit mode or one of |
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215 "DEFERRED", "IMMEDIATE" or "EXLUSIVE". See ``Controlling Transactions'', |
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216 section~\ref{sqlite3-Controlling-Transactions}, for a more detailed explanation. |
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217 \end{memberdesc} |
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218 |
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219 \begin{methoddesc}{cursor}{\optional{cursorClass}} |
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220 The cursor method accepts a single optional parameter \var{cursorClass}. |
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221 If supplied, this must be a custom cursor class that extends |
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222 \class{sqlite3.Cursor}. |
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223 \end{methoddesc} |
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224 |
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225 \begin{methoddesc}{execute}{sql, \optional{parameters}} |
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226 This is a nonstandard shortcut that creates an intermediate cursor object by |
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227 calling the cursor method, then calls the cursor's \method{execute} method with the |
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228 parameters given. |
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229 \end{methoddesc} |
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230 |
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231 \begin{methoddesc}{executemany}{sql, \optional{parameters}} |
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232 This is a nonstandard shortcut that creates an intermediate cursor object by |
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233 calling the cursor method, then calls the cursor's \method{executemany} method with the |
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234 parameters given. |
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235 \end{methoddesc} |
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236 |
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237 \begin{methoddesc}{executescript}{sql_script} |
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238 This is a nonstandard shortcut that creates an intermediate cursor object by |
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239 calling the cursor method, then calls the cursor's \method{executescript} method with the |
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240 parameters given. |
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241 \end{methoddesc} |
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242 |
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243 \begin{methoddesc}{create_function}{name, num_params, func} |
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244 |
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245 Creates a user-defined function that you can later use from within SQL |
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246 statements under the function name \var{name}. \var{num_params} is the number |
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247 of parameters the function accepts, and \var{func} is a Python callable that is |
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248 called as the SQL function. |
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249 |
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250 The function can return any of the types supported by SQLite: unicode, str, |
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251 int, long, float, buffer and None. |
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252 |
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253 Example: |
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254 |
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255 \verbatiminput{sqlite3/md5func.py} |
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256 \end{methoddesc} |
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257 |
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258 \begin{methoddesc}{create_aggregate}{name, num_params, aggregate_class} |
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259 |
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260 Creates a user-defined aggregate function. |
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261 |
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262 The aggregate class must implement a \code{step} method, which accepts the |
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263 number of parameters \var{num_params}, and a \code{finalize} method which |
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264 will return the final result of the aggregate. |
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265 |
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266 The \code{finalize} method can return any of the types supported by SQLite: |
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267 unicode, str, int, long, float, buffer and None. |
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268 |
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269 Example: |
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270 |
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271 \verbatiminput{sqlite3/mysumaggr.py} |
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272 \end{methoddesc} |
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273 |
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274 \begin{methoddesc}{create_collation}{name, callable} |
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275 |
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276 Creates a collation with the specified \var{name} and \var{callable}. The |
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277 callable will be passed two string arguments. It should return -1 if the first |
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278 is ordered lower than the second, 0 if they are ordered equal and 1 if the |
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279 first is ordered higher than the second. Note that this controls sorting |
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280 (ORDER BY in SQL) so your comparisons don't affect other SQL operations. |
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281 |
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282 Note that the callable will get its parameters as Python bytestrings, which |
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283 will normally be encoded in UTF-8. |
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284 |
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285 The following example shows a custom collation that sorts "the wrong way": |
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286 |
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287 \verbatiminput{sqlite3/collation_reverse.py} |
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288 |
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289 To remove a collation, call \code{create_collation} with None as callable: |
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290 |
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291 \begin{verbatim} |
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292 con.create_collation("reverse", None) |
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293 \end{verbatim} |
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294 \end{methoddesc} |
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295 |
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296 \begin{methoddesc}{interrupt}{} |
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297 |
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298 You can call this method from a different thread to abort any queries that |
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299 might be executing on the connection. The query will then abort and the caller |
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300 will get an exception. |
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301 \end{methoddesc} |
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302 |
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303 \begin{methoddesc}{set_authorizer}{authorizer_callback} |
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304 |
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305 This routine registers a callback. The callback is invoked for each attempt to |
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306 access a column of a table in the database. The callback should return |
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307 \constant{SQLITE_OK} if access is allowed, \constant{SQLITE_DENY} if the entire |
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308 SQL statement should be aborted with an error and \constant{SQLITE_IGNORE} if |
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309 the column should be treated as a NULL value. These constants are available in |
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310 the \module{sqlite3} module. |
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311 |
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312 The first argument to the callback signifies what kind of operation is to be |
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313 authorized. The second and third argument will be arguments or \constant{None} |
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314 depending on the first argument. The 4th argument is the name of the database |
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315 ("main", "temp", etc.) if applicable. The 5th argument is the name of the |
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316 inner-most trigger or view that is responsible for the access attempt or |
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317 \constant{None} if this access attempt is directly from input SQL code. |
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318 |
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319 Please consult the SQLite documentation about the possible values for the first |
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320 argument and the meaning of the second and third argument depending on the |
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321 first one. All necessary constants are available in the \module{sqlite3} |
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322 module. |
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323 \end{methoddesc} |
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324 |
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325 \begin{memberdesc}{row_factory} |
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326 You can change this attribute to a callable that accepts the cursor and |
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327 the original row as a tuple and will return the real result row. This |
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328 way, you can implement more advanced ways of returning results, such |
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329 as returning an object that can also access columns by name. |
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330 |
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331 Example: |
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332 |
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333 \verbatiminput{sqlite3/row_factory.py} |
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334 |
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335 If returning a tuple doesn't suffice and you want name-based |
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336 access to columns, you should consider setting \member{row_factory} to the |
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337 highly-optimized \class{sqlite3.Row} type. \class{Row} provides both |
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338 index-based and case-insensitive name-based access to columns with almost |
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339 no memory overhead. It will probably be better than your own custom |
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340 dictionary-based approach or even a db_row based solution. |
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341 % XXX what's a db_row-based solution? |
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342 \end{memberdesc} |
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343 |
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344 \begin{memberdesc}{text_factory} |
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345 Using this attribute you can control what objects are returned for the |
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346 TEXT data type. By default, this attribute is set to \class{unicode} and |
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347 the \module{sqlite3} module will return Unicode objects for TEXT. If you want to return |
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348 bytestrings instead, you can set it to \class{str}. |
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349 |
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350 For efficiency reasons, there's also a way to return Unicode objects only |
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351 for non-ASCII data, and bytestrings otherwise. To activate it, set this |
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352 attribute to \constant{sqlite3.OptimizedUnicode}. |
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353 |
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354 You can also set it to any other callable that accepts a single bytestring |
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355 parameter and returns the resulting object. |
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356 |
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357 See the following example code for illustration: |
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358 |
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359 \verbatiminput{sqlite3/text_factory.py} |
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360 \end{memberdesc} |
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361 |
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362 \begin{memberdesc}{total_changes} |
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363 Returns the total number of database rows that have been modified, inserted, |
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364 or deleted since the database connection was opened. |
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365 \end{memberdesc} |
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366 |
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367 |
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368 |
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369 |
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370 |
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371 \subsection{Cursor Objects \label{sqlite3-Cursor-Objects}} |
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372 |
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373 A \class{Cursor} instance has the following attributes and methods: |
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374 |
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375 \begin{methoddesc}{execute}{sql, \optional{parameters}} |
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376 |
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377 Executes a SQL statement. The SQL statement may be parametrized (i. e. |
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378 placeholders instead of SQL literals). The \module{sqlite3} module supports two kinds of |
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379 placeholders: question marks (qmark style) and named placeholders (named |
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380 style). |
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381 |
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382 This example shows how to use parameters with qmark style: |
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383 |
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384 \verbatiminput{sqlite3/execute_1.py} |
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385 |
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386 This example shows how to use the named style: |
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387 |
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388 \verbatiminput{sqlite3/execute_2.py} |
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389 |
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390 \method{execute()} will only execute a single SQL statement. If you try to |
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391 execute more than one statement with it, it will raise a Warning. Use |
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392 \method{executescript()} if you want to execute multiple SQL statements with one |
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393 call. |
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394 \end{methoddesc} |
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395 |
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396 |
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397 \begin{methoddesc}{executemany}{sql, seq_of_parameters} |
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398 Executes a SQL command against all parameter sequences or mappings found in the |
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399 sequence \var{sql}. The \module{sqlite3} module also allows |
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400 using an iterator yielding parameters instead of a sequence. |
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401 |
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402 \verbatiminput{sqlite3/executemany_1.py} |
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403 |
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404 Here's a shorter example using a generator: |
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405 |
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406 \verbatiminput{sqlite3/executemany_2.py} |
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407 \end{methoddesc} |
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408 |
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409 \begin{methoddesc}{executescript}{sql_script} |
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410 |
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411 This is a nonstandard convenience method for executing multiple SQL statements |
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412 at once. It issues a COMMIT statement first, then executes the SQL script it |
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413 gets as a parameter. |
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414 |
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415 \var{sql_script} can be a bytestring or a Unicode string. |
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416 |
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417 Example: |
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418 |
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419 \verbatiminput{sqlite3/executescript.py} |
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420 \end{methoddesc} |
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421 |
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422 \begin{memberdesc}{rowcount} |
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423 Although the \class{Cursor} class of the \module{sqlite3} module implements this |
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424 attribute, the database engine's own support for the determination of "rows |
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425 affected"/"rows selected" is quirky. |
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426 |
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427 For \code{SELECT} statements, \member{rowcount} is always None because we cannot |
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428 determine the number of rows a query produced until all rows were fetched. |
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429 |
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430 For \code{DELETE} statements, SQLite reports \member{rowcount} as 0 if you make a |
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431 \code{DELETE FROM table} without any condition. |
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432 |
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433 For \method{executemany} statements, the number of modifications are summed |
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434 up into \member{rowcount}. |
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435 |
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436 As required by the Python DB API Spec, the \member{rowcount} attribute "is -1 |
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437 in case no executeXX() has been performed on the cursor or the rowcount |
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438 of the last operation is not determinable by the interface". |
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439 \end{memberdesc} |
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440 |
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441 \subsection{SQLite and Python types\label{sqlite3-Types}} |
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442 |
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443 \subsubsection{Introduction} |
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444 |
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445 SQLite natively supports the following types: NULL, INTEGER, REAL, TEXT, BLOB. |
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446 |
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447 The following Python types can thus be sent to SQLite without any problem: |
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448 |
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449 \begin{tableii} {c|l}{code}{Python type}{SQLite type} |
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450 \lineii{None}{NULL} |
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451 \lineii{int}{INTEGER} |
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452 \lineii{long}{INTEGER} |
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453 \lineii{float}{REAL} |
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454 \lineii{str (UTF8-encoded)}{TEXT} |
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455 \lineii{unicode}{TEXT} |
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456 \lineii{buffer}{BLOB} |
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457 \end{tableii} |
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458 |
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459 This is how SQLite types are converted to Python types by default: |
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460 |
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461 \begin{tableii} {c|l}{code}{SQLite type}{Python type} |
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462 \lineii{NULL}{None} |
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463 \lineii{INTEGER}{int or long, depending on size} |
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464 \lineii{REAL}{float} |
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465 \lineii{TEXT}{depends on text_factory, unicode by default} |
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466 \lineii{BLOB}{buffer} |
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467 \end{tableii} |
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468 |
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469 The type system of the \module{sqlite3} module is extensible in two ways: you can store |
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470 additional Python types in a SQLite database via object adaptation, and you can |
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471 let the \module{sqlite3} module convert SQLite types to different Python types via |
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472 converters. |
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473 |
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474 \subsubsection{Using adapters to store additional Python types in SQLite databases} |
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475 |
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476 As described before, SQLite supports only a limited set of types natively. To |
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477 use other Python types with SQLite, you must \strong{adapt} them to one of the sqlite3 |
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478 module's supported types for SQLite: one of NoneType, int, long, float, |
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479 str, unicode, buffer. |
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480 |
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481 The \module{sqlite3} module uses Python object adaptation, as described in \pep{246} for this. The protocol to use is \class{PrepareProtocol}. |
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482 |
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483 There are two ways to enable the \module{sqlite3} module to adapt a custom Python type |
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484 to one of the supported ones. |
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485 |
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486 \paragraph{Letting your object adapt itself} |
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487 |
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488 This is a good approach if you write the class yourself. Let's suppose you have |
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489 a class like this: |
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490 |
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491 \begin{verbatim} |
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492 class Point(object): |
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493 def __init__(self, x, y): |
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494 self.x, self.y = x, y |
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495 \end{verbatim} |
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496 |
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497 Now you want to store the point in a single SQLite column. First you'll have to |
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498 choose one of the supported types first to be used for representing the point. |
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499 Let's just use str and separate the coordinates using a semicolon. Then you |
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500 need to give your class a method \code{__conform__(self, protocol)} which must |
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501 return the converted value. The parameter \var{protocol} will be |
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502 \class{PrepareProtocol}. |
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503 |
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504 \verbatiminput{sqlite3/adapter_point_1.py} |
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505 |
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506 \paragraph{Registering an adapter callable} |
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507 |
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508 The other possibility is to create a function that converts the type to the |
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509 string representation and register the function with \method{register_adapter}. |
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510 |
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511 \begin{notice} |
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512 The type/class to adapt must be a new-style class, i. e. it must have |
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513 \class{object} as one of its bases. |
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514 \end{notice} |
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515 |
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516 \verbatiminput{sqlite3/adapter_point_2.py} |
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517 |
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518 The \module{sqlite3} module has two default adapters for Python's built-in |
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519 \class{datetime.date} and \class{datetime.datetime} types. Now let's suppose |
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520 we want to store \class{datetime.datetime} objects not in ISO representation, |
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521 but as a \UNIX{} timestamp. |
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522 |
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523 \verbatiminput{sqlite3/adapter_datetime.py} |
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524 |
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525 \subsubsection{Converting SQLite values to custom Python types} |
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526 |
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527 Writing an adapter lets you send custom Python types to SQLite. |
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528 But to make it really useful we need to make the Python to SQLite to Python |
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529 roundtrip work. |
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530 |
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531 Enter converters. |
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532 |
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533 Let's go back to the \class{Point} class. We stored the x and y |
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534 coordinates separated via semicolons as strings in SQLite. |
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535 |
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536 First, we'll define a converter function that accepts the string as a |
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537 parameter and constructs a \class{Point} object from it. |
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538 |
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539 \begin{notice} |
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540 Converter functions \strong{always} get called with a string, no matter |
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541 under which data type you sent the value to SQLite. |
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542 \end{notice} |
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543 |
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544 \begin{notice} |
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545 Converter names are looked up in a case-sensitive manner. |
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546 \end{notice} |
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547 |
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548 |
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549 \begin{verbatim} |
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550 def convert_point(s): |
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551 x, y = map(float, s.split(";")) |
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552 return Point(x, y) |
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553 \end{verbatim} |
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554 |
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555 Now you need to make the \module{sqlite3} module know that what you select from the |
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556 database is actually a point. There are two ways of doing this: |
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557 |
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558 \begin{itemize} |
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559 \item Implicitly via the declared type |
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560 \item Explicitly via the column name |
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561 \end{itemize} |
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562 |
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563 Both ways are described in ``Module Constants'', section~\ref{sqlite3-Module-Contents}, in |
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564 the entries for the constants \constant{PARSE_DECLTYPES} and |
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565 \constant{PARSE_COLNAMES}. |
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566 |
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567 |
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568 The following example illustrates both approaches. |
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569 |
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570 \verbatiminput{sqlite3/converter_point.py} |
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571 |
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572 \subsubsection{Default adapters and converters} |
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573 |
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574 There are default adapters for the date and datetime types in the datetime |
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575 module. They will be sent as ISO dates/ISO timestamps to SQLite. |
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576 |
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577 The default converters are registered under the name "date" for \class{datetime.date} |
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578 and under the name "timestamp" for \class{datetime.datetime}. |
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579 |
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580 This way, you can use date/timestamps from Python without any additional |
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581 fiddling in most cases. The format of the adapters is also compatible with the |
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582 experimental SQLite date/time functions. |
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583 |
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584 The following example demonstrates this. |
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585 |
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586 \verbatiminput{sqlite3/pysqlite_datetime.py} |
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587 |
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588 \subsection{Controlling Transactions \label{sqlite3-Controlling-Transactions}} |
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589 |
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590 By default, the \module{sqlite3} module opens transactions implicitly before a Data Modification Language (DML) |
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591 statement (i.e. INSERT/UPDATE/DELETE/REPLACE), and commits transactions implicitly |
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592 before a non-DML, non-query statement (i. e. anything other than |
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593 SELECT/INSERT/UPDATE/DELETE/REPLACE). |
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594 |
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595 So if you are within a transaction and issue a command like \code{CREATE TABLE |
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596 ...}, \code{VACUUM}, \code{PRAGMA}, the \module{sqlite3} module will commit implicitly |
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597 before executing that command. There are two reasons for doing that. The first |
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598 is that some of these commands don't work within transactions. The other reason |
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599 is that pysqlite needs to keep track of the transaction state (if a transaction |
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600 is active or not). |
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601 |
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602 You can control which kind of "BEGIN" statements pysqlite implicitly executes |
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603 (or none at all) via the \var{isolation_level} parameter to the |
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604 \function{connect} call, or via the \member{isolation_level} property of |
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605 connections. |
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606 |
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607 If you want \strong{autocommit mode}, then set \member{isolation_level} to None. |
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608 |
| 38660 | 609 Otherwise leave it at its default, which will result in a plain "BEGIN" |
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610 statement, or set it to one of SQLite's supported isolation levels: DEFERRED, |
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611 IMMEDIATE or EXCLUSIVE. |
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612 |
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613 As the \module{sqlite3} module needs to keep track of the transaction state, you should |
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614 not use \code{OR ROLLBACK} or \code{ON CONFLICT ROLLBACK} in your SQL. Instead, |
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615 catch the \exception{IntegrityError} and call the \method{rollback} method of |
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616 the connection yourself. |
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617 |
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618 \subsection{Using pysqlite efficiently} |
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619 |
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620 \subsubsection{Using shortcut methods} |
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621 |
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622 Using the nonstandard \method{execute}, \method{executemany} and |
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623 \method{executescript} methods of the \class{Connection} object, your code can |
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624 be written more concisely because you don't have to create the (often |
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625 superfluous) \class{Cursor} objects explicitly. Instead, the \class{Cursor} |
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626 objects are created implicitly and these shortcut methods return the cursor |
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627 objects. This way, you can execute a SELECT statement and iterate |
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628 over it directly using only a single call on the \class{Connection} object. |
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629 |
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630 \verbatiminput{sqlite3/shortcut_methods.py} |
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631 |
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632 \subsubsection{Accessing columns by name instead of by index} |
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633 |
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634 One useful feature of the \module{sqlite3} module is the builtin \class{sqlite3.Row} class |
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Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
635 designed to be used as a row factory. |
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85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
636 |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
637 Rows wrapped with this class can be accessed both by index (like tuples) and |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
638 case-insensitively by name: |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
639 |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
640 \verbatiminput{sqlite3/rowclass.py} |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
641 |
|
85c828878188
Integrated the rest of the pysqlite reference manual into the Python
Gerhard Häring <gh@ghaering.de>
parents:
38069
diff
changeset
|
642 |
