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This is the start of documentation for the sqlite3 module. Please feel free to
find a better place for the link to it than alongside bsddb & friends.
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@ -350,7 +350,8 @@ LIBFILES= $(MANSTYLES) $(INDEXSTYLES) $(COMMONTEX) \
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lib/libturtle.tex \
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lib/libturtle.tex \
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lib/libtarfile.tex \
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lib/libtarfile.tex \
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lib/libcsv.tex \
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lib/libcsv.tex \
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lib/libcfgparser.tex
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lib/libcfgparser.tex \
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lib/libsqlite3.tex
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# LaTeX source files for Macintosh Library Modules.
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# LaTeX source files for Macintosh Library Modules.
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MACFILES= $(HOWTOSTYLES) $(INDEXSTYLES) $(COMMONTEX) \
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MACFILES= $(HOWTOSTYLES) $(INDEXSTYLES) $(COMMONTEX) \
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@ -224,6 +224,7 @@ and how to embed it in other applications.
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\input{libdbhash}
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\input{libdbhash}
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\input{libbsddb}
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\input{libbsddb}
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\input{libdumbdbm}
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\input{libdumbdbm}
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\input{libsqlite3}
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% =============
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% =============
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105
Doc/lib/libsqlite3.tex
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105
Doc/lib/libsqlite3.tex
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@ -0,0 +1,105 @@
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\section{\module{sqlite3} ---
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DB-API 2.0 interface for SQLite databases}
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\declaremodule{builtin}{sqlite3}
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\modulesynopsis{A DB-API 2.0 interface based on SQLite 3.x.}
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The module defines the following:
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\begin{datadesc}{PARSE_DECLTYPES}
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This constant is meant to be used with the detect_types parameter of the connect function.
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Setting it makes the sqlite3 module parse the declared type for each column it
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returns. It will parse out the first word of the declared type, i. e. for
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"integer primary key", it will parse out "integer". Then for that column, it
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will look into pysqlite's converters dictionary and use the converter function
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registered for that type there. Converter names are case-sensitive!
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\end{datadesc}
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\begin{datadesc}{PARSE_COLNAMES}
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Setting this makes pysqlite parse the column name for each column it returns.
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It will look for a string formed [mytype] in there, and then decide that
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'mytype' is the type of the column. It will try to find an entry of 'mytype' in
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the converters dictionary and then use the converter function found there to
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return the value. The column name found in cursor.description is only the first
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word of the column name, i. e. if you use something like 'as "x [datetime]"'
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in your SQL, then pysqlite will parse out everything until the first blank for
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the column name: the column name would simply be "x".
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\end{datadesc}
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\begin{funcdesc}{connect}{database\optional{, timeout, isolation_level, detect_types, check_same_thread, factory}}
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Opens a connection to the SQLite database file \var{database}. You can use
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\code{":memory:"} to open a database connection to a database that resides in
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RAM instead of on disk.
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When a database is accessed by multiple connections, and one of the processes
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modifies the database, the SQLite database is locked until that transaction is
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committed. The \var{timeout} parameter specifies how long the connection should
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wait for the lock to go away until raising an exception. The default for the
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timeout parameter is 5.0 (five seconds).
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For the \var{isolation_level} parameter, please see TODO: link property of
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Connection objects.
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SQLite natively supports only the types TEXT, INTEGER, FLOAT, BLOB and NULL. If
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you want to use other types, like you have to add support for them yourself.
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The \var{detect_types} parameter and the using custom *converters* registered with
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the module-level *register_converter* function allow you to easily do that.
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\var{detect_types} defaults to 0 (i. e. off, no type detection), you can set it
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to any combination of *PARSE_DECLTYPES* and *PARSE_COLNAMES* to turn type
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detection on.
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By default, the sqlite3 module uses its Connection class for the connect call.
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You can, however, subclass the Connection class and make .connect() use your
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class instead by providing your class for the \var{factory} parameter.
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Consult the section `4. SQLite and Python types`_ of this manual for details.
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The sqlite3 module internally uses a statement cache to avoid SQL parsing
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overhead. If you want to explicitly set the number of statements that are
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cached for the connection, you can set the \var{cached_statements} parameter.
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The currently implemented default is to cache 100 statements.
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\end{funcdesc}
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\begin{funcdesc}{register_converter}{typename, callable}
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Registers a callable to convert a bytestring from the database into a custom
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Python type. The callable will be invoked for all database values that are of
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the type \var{typename}. Confer the parameter **detect_types** of the
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**connect** method for how the type detection works. Note that the case of
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\var{typename} and the name of the type in your query must match!
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\end{funcdesc}
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\begin{funcdesc}{register_adapter}{type, callable}
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Registers a callable to convert the custom Python type \var{type} into one of
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SQLite's supported types. The callable \var{callable} accepts as single
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parameter the Python value, and must return a value of the following types:
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int, long, float, str (UTF-8 encoded), unicode or buffer.
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\end{funcdesc}
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\subsection{Connection Objects \label{Connection-Objects}}
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A \class{Connection} instance has the following attributes and methods:
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\member{isolation_level}
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Get or set the current isolation level. None for autocommit mode or one
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of "DEFERRED", "IMMEDIATE" or "EXLUSIVE". See `5. Controlling
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Transactions`_ for a more detailed explanation.
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\begin{methoddesc}{cursor}{\optional{cursorClass}}
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The cursor method accepts a single optional parameter \var{cursorClass}.
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This is a custom cursor class which must extend sqlite3.Cursor.
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\end{methoddesc}
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TODO: execute*
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