Setting it makes the sqlite3 module parse the declared type for each column it returns. It will parse out the first word of the declared type, i. e. for "integer primary key", it will parse out "integer". Then for that column, it will look into the converters dictionary and use the converter function registered for that type there. Converter names are case-sensitive!
Setting this makes the SQLite interface parse the column name for each column
it returns. It will look for a string formed [mytype] in there, and then
decide that 'mytype' is the type of the column. It will try to find an entry of
'mytype' in the converters dictionary and then use the converter function found
there to return the value. The column name found in cursor.description is only
the first word of the column name, i. e. if you use something like
'as "x [datetime]"' in your SQL, then we will parse out everything until the
first blank for the column name: the column name would simply be "x".
|database[, timeout, isolation_level, detect_types, factory])|
":memory:"to open a database connection to a database that resides in RAM instead of on disk.
When a database is accessed by multiple connections, and one of the processes modifies the database, the SQLite database is locked until that transaction is committed. The timeout parameter specifies how long the connection should wait for the lock to go away until raising an exception. The default for the timeout parameter is 5.0 (five seconds).
For the isolation_level parameter, please see the isolation_level property of Connection objects in section 13.13.2.
SQLite natively supports only the types TEXT, INTEGER, FLOAT, BLOB and NULL. If you want to use other types, like you have to add support for them yourself. The detect_types parameter and the using custom converters registered with the module-level register_converter function allow you to easily do that.
detect_types defaults to 0 (i. e. off, no type detection), you can set it to any combination of PARSE_DECLTYPES and PARSE_COLNAMES to turn type detection on.
By default, the sqlite3 module uses its Connection class for the connect call. You can, however, subclass the Connection class and make connect use your class instead by providing your class for the factory parameter.
Consult the section 13.13.4 of this manual for details.
The sqlite3 module internally uses a statement cache to avoid SQL parsing overhead. If you want to explicitly set the number of statements that are cached for the connection, you can set the cached_statements parameter. The currently implemented default is to cache 100 statements.
This can be used to build a shell for SQLite, as in the following example:
# A minimal SQLite shell for experiments import sqlite3 con = sqlite3.connect(":memory:") con.isolation_level = None cur = con.cursor() buffer = "" print "Enter your SQL commands to execute in sqlite3." print "Enter a blank line to exit." while True: line = raw_input() if line == "": break buffer += line if sqlite3.complete_statement(buffer): try: buffer = buffer.strip() cur.execute(buffer) if buffer.lstrip().upper().startswith("SELECT"): print cur.fetchall() except sqlite3.Error, e: print "An error occurred:", e.args buffer = "" con.close()
sys.stderr. Use False to disable the feature again.
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