SQLite3 can be integrated with Python using sqlite3 module, which was written by Gerhard Haring. It provides an SQL interface compliant with the DB-API 2.0 specification described by PEP 249. You do not need to install this module separately because it is shipped by default along with Python version 2.5.x onwards.
To use sqlite3 module, you must first create a connection object that represents the database and then optionally you can create a cursor object, which will help you in executing all the SQL statements.
Python SQLite3 Module APIs
Following are important sqlite3 module routines, which can suffice your requirement to work with SQLite database from your Python program. If you are looking for a more sophisticated application, then you can look into Python sqlite3 module's official documentation.
This API opens a connection to the SQLite database file. You can use ":memory:" to open a database connection to a database that resides in RAM instead of on disk. If a database is opened successfully, it returns a connection object.
This routine creates a cursor that will be used throughout your database programming with Python. This method accepts a single optional parameter cursor class. If supplied, this must be a custom cursor class that extends sqlite3.Cursor.
3. cursor.execute(sql [, optional parameters])
This routine executes an SQL statement. The SQL statement may be parameterized (i. e. placeholders instead of SQL literals). The sqlite3 module supports two kinds of placeholders: question marks and named placeholders (named style).
For example − cursor.execute("insert into people values (?, ?)", (who, age))
This routine is a shortcut of the above execute method provided by the cursor object and it creates an intermediate cursor object by calling the cursor method, then calls the cursor's execute method with the parameters given.
5. cursor.executemany(sql, seq_of_parameters)
This routine executes an SQL command against all parameter sequences or mappings found in the sequence SQL.
6. connection.executemany(sql[, parameters])
This routine is a shortcut that creates an intermediate cursor object by calling the cursor method, then calls the cursor.s execute many methods with the parameters given.
This routine executes multiple SQL statements at once provided in the form of a script. It issues a COMMIT statement first, then executes the SQL script it gets as a parameter. All the SQL statements should be separated by a semicolon (;).
This routine is a shortcut that creates an intermediate cursor object by calling the cursor method, then calls the cursor's execute script method with the parameters given.
This routine returns the total number of database rows that have been modified, inserted, or deleted since the database connection was opened.
This method commits the current transaction. If you don't call this method, anything you did since the last call to commit() is not visible from other database connections.
This method rolls back any changes to the database since the last call to commit().
This method closes the database connection. Note that this does not automatically call commit(). If you just close your database connection without calling commit() first, your changes will be lost!
This method fetches the next row of a query result set, returning a single sequence, or none when no more data is available.
14. cursor.fetchmany([size = cursor.arraysize])
This routine fetches the next set of rows of a query result, returning a list. An empty list is returned when no more rows are available. The method tries to fetch as many rows as indicated by the size parameter.
This routine fetches all (remaining) rows of a query result, returning a list. An empty list is returned when no rows are available.
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