python-peps/pep-0248.txt

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PEP: 248
Title: Python Database API Specification v1.0
Version: $Revision$
Author: db-sig@python.org (Python Database SIG)
Editor: mal@lemburg.com (Marc-Andre Lemburg)
Status: Final
Replaced-By: 249
Type: Informational
Release-Date: 09 Apr 1996
Introduction
This API has been defined to encourage similarity between the
Python modules that are used to access databases. By doing this,
we hope to achieve a consistency leading to more easily understood
modules, code that is generally more portable across databases,
and a broader reach of database connectivity from Python.
This interface specification consists of several items:
* Module Interface
* Connection Objects
* Cursor Objects
* DBI Helper Objects
Comments and questions about this specification may be directed to
the SIG on Tabular Databases in Python
(http://www.python.org/sigs/db-sig).
This specification document was last updated on: April 9, 1996.
It will be known as Version 1.0 of this specification.
Module Interface
The database interface modules should typically be named with
something terminated by 'db'. Existing examples are: 'oracledb',
'informixdb', and 'pg95db'. These modules should export several
names:
modulename(connection_string)
Constructor for creating a connection to the database.
Returns a Connection Object.
error
Exception raise for errors from the database module.
Connection Objects
Connection Objects should respond to the following methods:
close()
Close the connection now (rather than whenever __del__ is
called). The connection will be unusable from this point
forward; an exception will be raised if any operation is
attempted with the connection.
commit()
Commit any pending transaction to the database.
rollback()
Roll the database back to the start of any pending
transaction.
cursor()
Return a new Cursor Object. An exception may be thrown if
the database does not support a cursor concept.
callproc([params])
(Note: this method is not well-defined yet.) Call a
stored database procedure with the given (optional)
parameters. Returns the result of the stored procedure.
(all Cursor Object attributes and methods)
For databases that do not have cursors and for simple
applications that do not require the complexity of a
cursor, a Connection Object should respond to each of the
attributes and methods of the Cursor Object. Databases
that have cursor can implement this by using an implicit,
internal cursor.
Cursor Objects
These objects represent a database cursor, which is used to manage
the context of a fetch operation.
Cursor Objects should respond to the following methods and
attributes:
arraysize
This read/write attribute specifies the number of rows to
fetch at a time with fetchmany(). This value is also used
when inserting multiple rows at a time (passing a
tuple/list of tuples/lists as the params value to
execute()). This attribute will default to a single row.
Note that the arraysize is optional and is merely provided
for higher performance database interactions.
Implementations should observe it with respect to the
fetchmany() method, but are free to interact with the
database a single row at a time.
description
This read-only attribute is a tuple of 7-tuples. Each
7-tuple contains information describing each result
column: (name, type_code, display_size, internal_size,
precision, scale, null_ok). This attribute will be None
for operations that do not return rows or if the cursor
has not had an operation invoked via the execute() method
yet.
The 'type_code' is one of the 'dbi' values specified in
the section below.
Note: this is a bit in flux. Generally, the first two
items of the 7-tuple will always be present; the others
may be database specific.
close()
Close the cursor now (rather than whenever __del__ is
called). The cursor will be unusable from this point
forward; an exception will be raised if any operation is
attempted with the cursor.
execute(operation [,params])
Execute (prepare) a database operation (query or command).
Parameters may be provided (as a sequence
(e.g. tuple/list)) and will be bound to variables in the
operation. Variables are specified in a database-specific
notation that is based on the index in the parameter tuple
(position-based rather than name-based).
The parameters may also be specified as a sequence of
sequences (e.g. a list of tuples) to insert multiple rows
in a single operation.
A reference to the operation will be retained by the
cursor. If the same operation object is passed in again,
then the cursor can optimize its behavior. This is most
effective for algorithms where the same operation is used,
but different parameters are bound to it (many times).
For maximum efficiency when reusing an operation, it is
best to use the setinputsizes() method to specify the
parameter types and sizes ahead of time. It is legal for
a parameter to not match the predefined information; the
implementation should compensate, possibly with a loss of
efficiency.
Using SQL terminology, these are the possible result
values from the execute() method:
If the statement is DDL (e.g. CREATE TABLE), then 1 is
returned.
If the statement is DML (e.g. UPDATE or INSERT), then the
number of rows affected is returned (0 or a positive
integer).
If the statement is DQL (e.g. SELECT), None is returned,
indicating that the statement is not really complete until
you use one of the 'fetch' methods.
fetchone()
Fetch the next row of a query result, returning a single
tuple.
fetchmany([size])
Fetch the next set of rows of a query result, returning as
a list of tuples. An empty list is returned when no more
rows are available. The number of rows to fetch is
specified by the parameter. If it is None, then the
cursor's arraysize determines the number of rows to be
fetched.
Note there are performance considerations involved with
the size parameter. For optimal performance, it is
usually best to use the arraysize attribute. If the size
parameter is used, then it is best for it to retain the
same value from one fetchmany() call to the next.
fetchall()
Fetch all rows of a query result, returning as a list of
tuples. Note that the cursor's arraysize attribute can
affect the performance of this operation.
setinputsizes(sizes)
(Note: this method is not well-defined yet.) This can be
used before a call to 'execute()' to predefine memory
areas for the operation's parameters. sizes is specified
as a tuple -- one item for each input parameter. The item
should be a Type object that corresponds to the input that
will be used, or it should be an integer specifying the
maximum length of a string parameter. If the item is
'None', then no predefined memory area will be reserved
for that column (this is useful to avoid predefined areas
for large inputs).
This method would be used before the execute() method is
invoked.
Note that this method is optional and is merely provided
for higher performance database interaction.
Implementations are free to do nothing and users are free
to not use it.
setoutputsize(size [,col])
(Note: this method is not well-defined yet.)
Set a column buffer size for fetches of large columns
(e.g. LONG). The column is specified as an index into the
result tuple. Using a column of None will set the default
size for all large columns in the cursor.
This method would be used before the 'execute()' method is
invoked.
Note that this method is optional and is merely provided
for higher performance database interaction.
Implementations are free to do nothing and users are free
to not use it.
DBI Helper Objects
Many databases need to have the input in a particular format for
binding to an operation's input parameters. For example, if an
input is destined for a DATE column, then it must be bound to the
database in a particular string format. Similar problems exist
for "Row ID" columns or large binary items (e.g. blobs or RAW
columns). This presents problems for Python since the parameters
to the 'execute()' method are untyped. When the database module
sees a Python string object, it doesn't know if it should be bound
as a simple CHAR column, as a raw binary item, or as a DATE.
To overcome this problem, the 'dbi' module was created. This
module specifies some basic database interface types for working
with databases. There are two classes: 'dbiDate' and 'dbiRaw'.
These are simple container classes that wrap up a value. When
passed to the database modules, the module can then detect that
the input parameter is intended as a DATE or a RAW. For symmetry,
the database modules will return DATE and RAW columns as instances
of these classes.
A Cursor Object's 'description' attribute returns information
about each of the result columns of a query. The 'type_code is
defined to be one of five types exported by this module: 'STRING',
'RAW', 'NUMBER', 'DATE', or 'ROWID'.
The module exports the following names:
dbiDate(value)
This function constructs a 'dbiDate' instance that holds a
date value. The value should be specified as an integer
number of seconds since the "epoch" (e.g. time.time()).
dbiRaw(value)
This function constructs a 'dbiRaw' instance that holds a
raw (binary) value. The value should be specified as a
Python string.
STRING
This object is used to describe columns in a database that
are string-based (e.g. CHAR).
RAW
This object is used to describe (large) binary columns in
a database (e.g. LONG RAW, blobs).
NUMBER
This object is used to describe numeric columns in a
database.
DATE
This object is used to describe date columns in a
database.
ROWID
This object is used to describe the "Row ID" column in a
database.
Acknowledgements
Many thanks go to Andrew Kuchling who converted the Python
Database API Specification 1.0 from the original HTML format into
the PEP format.
Copyright
This document has been placed in the Public Domain.
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