python-peps/pep-0249.txt

PEP: 249
Title: Python Database API Specification v2.0
Version: $Revision$
Author: db-sig@python.org (Python Database SIG)
Editor: mal@lemburg.com (Marc-Andre Lemburg)
Status: Draft
Type: Informational
Replaces: 248

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.
    
    The interface specification consists of several sections:
    
        * Module Interface
        * Connection Objects
        * Cursor Objects
        * DBI Helper Objects
        * Type Objects and Constructors
        * Implementation Hints
        * Major Changes from 1.0 to 2.0
    
    Comments and questions about this specification may be directed
    to the SIG for Database Interfacing with Python
    (db-sig@python.org).

    For more information on database interfacing with Python and
    available packages see the Database Topic
    Guide at http://www.python.org/topics/database/.

    This document describes the Python Database API Specification
    2.0.  The previous version 1.0 version is still available as
    reference, in PEP 248. Package writers are encouraged to use
    this version of the specification as basis for new interfaces.


Module Interface
        
    Access to the database is made available through connection
    objects. The module must provide the following constructor for
    these:

        connect(parameters...)

            Constructor for creating a connection to the database.
            Returns a Connection Object. It takes a number of
            parameters which are database dependent. [1]
        
    These module globals must be defined:

        apilevel

            String constant stating the supported DB API level.
            Currently only the strings '1.0' and '2.0' are allowed.
            
            If not given, a DB-API 1.0 level interface should be
            assumed.
            
        threadsafety

            Integer constant stating the level of thread safety the
            interface supports. Possible values are:

                0     Threads may not share the module.
                1     Threads may share the module, but not connections.
                2     Threads may share the module and connections.
                3     Threads may share the module, connections and
                      cursors.

            Sharing in the above context means that two threads may
            use a resource without wrapping it using a mutex semaphore
            to implement resource locking. Note that you cannot always
            make external resources thread safe by managing access
            using a mutex: the resource may rely on global variables
            or other external sources that are beyond your control.

        paramstyle
          
            String constant stating the type of parameter marker
            formatting expected by the interface. Possible values are
            [2]:

                'qmark'         Question mark style, 
                                e.g. '...WHERE name=?'
                'numeric'       Numeric, positional style, 
                                e.g. '...WHERE name=:1'
                'named'         Named style, 
                                e.g. '...WHERE name=:name'
                'format'        ANSI C printf format codes, 
                                e.g. '...WHERE name=%s'
                'pyformat'      Python extended format codes, 
                                e.g. '...WHERE name=%(name)s'

    The module should make all error information available through
    these exceptions or subclasses thereof:

        Warning 
            
            Exception raised for important warnings like data
            truncations while inserting, etc. It must be a subclass of
            the Python StandardError (defined in the module
            exceptions).
            
        Error 

            Exception that is the base class of all other error
            exceptions. You can use this to catch all errors with one
            single 'except' statement. Warnings are not considered
            errors and thus should not use this class as base. It must
            be a subclass of the Python StandardError (defined in the
            module exceptions).
            
        InterfaceError

            Exception raised for errors that are related to the
            database interface rather than the database itself.  It
            must be a subclass of Error.

        DatabaseError

            Exception raised for errors that are related to the
            database.  It must be a subclass of Error.
            
        DataError
          
            Exception raised for errors that are due to problems with
            the processed data like division by zero, numeric value
            out of range, etc. It must be a subclass of DatabaseError.
            
        OperationalError
          
            Exception raised for errors that are related to the
            database's operation and not necessarily under the control
            of the programmer, e.g. an unexpected disconnect occurs,
            the data source name is not found, a transaction could not
            be processed, a memory allocation error occurred during
            processing, etc.  It must be a subclass of DatabaseError.
            
        IntegrityError             
          
            Exception raised when the relational integrity of the
            database is affected, e.g. a foreign key check fails.  It
            must be a subclass of DatabaseError.
            
        InternalError 
                      
            Exception raised when the database encounters an internal
            error, e.g. the cursor is not valid anymore, the
            transaction is out of sync, etc.  It must be a subclass of
            DatabaseError.
            
        ProgrammingError
          
            Exception raised for programming errors, e.g. table not
            found or already exists, syntax error in the SQL
            statement, wrong number of parameters specified, etc.  It
            must be a subclass of DatabaseError.
            
        NotSupportedError
          
            Exception raised in case a method or database API was used
            which is not supported by the database, e.g. requesting a
            .rollback() on a connection that does not support
            transaction or has transactions turned off.  It must be a
            subclass of DatabaseError.
        
    This is the exception inheritance layout:

        StandardError
        |__Warning
        |__Error
           |__InterfaceError
              |__DatabaseError
                 |__DataError
                 |__OperationalError
                 |__IntegrityError
                 |__InternalError
                 |__ProgrammingError
                 |__NotSupportedError
        
    Note: The values of these exceptions are not defined. They should
    give the user a fairly good idea of what went wrong, though.
        

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 Error (or subclass) exception will be raised
            if any operation is attempted with the connection. The
            same applies to all cursor objects trying to use the
            connection.
            
        commit()
          
            Commit any pending transaction to the database. Note that
            if the database supports an auto-commit feature, this must
            be initially off. An interface method may be provided to
            turn it back on.
            
            Database modules that do not support transactions should
            implement this method with void functionality.
            
        rollback() 
          
            This method is optional since not all databases provide
            transaction support. [3]
            
            In case a database does provide transactions this method
            causes the the database to roll back to the start of any
            pending transaction.  Closing a connection without
            committing the changes first will cause an implicit
            rollback to be performed.
            
        cursor()
          
            Return a new Cursor Object using the connection.  If the
            database does not provide a direct cursor concept, the
            module will have to emulate cursors using other means to
            the extent needed by this specification.  [4]
            

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:

        description 
          
            This read-only attribute is a sequence of 7-item
            sequences.  Each of these sequences contains information
            describing one 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 executeXXX() method yet.
            
            The type_code can be interpreted by comparing it to the
            Type Objects specified in the section below.
            
        rowcount 
          
            This read-only attribute specifies the number of rows that
            the last executeXXX() produced (for DQL statements like
            'select') or affected (for DML statements like 'update' or
            'insert').
            
            The attribute is -1 in case no executeXXX() has been
            performed on the cursor or the rowcount of the last
            operation is not determinable by the interface. [7]
            
        callproc(procname[,parameters])
          
            (This method is optional since not all databases provide
            stored procedures. [3])
            
            Call a stored database procedure with the given name. The
            sequence of parameters must contain one entry for each
            argument that the procedure expects. The result of the
            call is returned as modified copy of the input
            sequence. Input parameters are left untouched, output and
            input/output parameters replaced with possibly new values.
            
            The procedure may also provide a result set as
            output. This must then be made available through the
            standard fetchXXX() methods.
            
        close()
          
            Close the cursor now (rather than whenever __del__ is
            called).  The cursor will be unusable from this point
            forward; an Error (or subclass) exception will be raised
            if any operation is attempted with the cursor.
            
        execute(operation[,parameters]) 
          
            Prepare and execute a database operation (query or
            command).  Parameters may be provided as sequence or
            mapping and will be bound to variables in the operation.
            Variables are specified in a database-specific notation
            (see the module's paramstyle attribute for details). [5]
            
            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.
            
            The parameters may also be specified as list of tuples to
            e.g. insert multiple rows in a single operation, but this
            kind of usage is depreciated: executemany() should be used
            instead.
            
            Return values are not defined.
            
        executemany(operation,seq_of_parameters) 
          
            Prepare a database operation (query or command) and then
            execute it against all parameter sequences or mappings
            found in the sequence seq_of_parameters.
            
            Modules are free to implement this method using multiple
            calls to the execute() method or by using array operations
            to have the database process the sequence as a whole in
            one call.
            
            The same comments as for execute() also apply accordingly
            to this method.
            
            Return values are not defined.
            
        fetchone() 
          
            Fetch the next row of a query result set, returning a
            single sequence, or None when no more data is
            available. [6]
            
            An Error (or subclass) exception is raised if the previous
            call to executeXXX() did not produce any result set or no
            call was issued yet.

        fetchmany([size=cursor.arraysize])
          
            Fetch the next set of rows of a query result, returning a
            sequence of sequences (e.g. a list of tuples). An empty
            sequence is returned when no more rows are available.
            
            The number of rows to fetch per call is specified by the
            parameter.  If it is not given, the cursor's arraysize
            determines the number of rows to be fetched. The method
            should try to fetch as many rows as indicated by the size
            parameter. If this is not possible due to the specified
            number of rows not being available, fewer rows may be
            returned.
            
            An Error (or subclass) exception is raised if the previous
            call to executeXXX() did not produce any result set or no
            call was issued yet.
            
            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 (remaining) rows of a query result, returning
            them as a sequence of sequences (e.g. a list of tuples).
            Note that the cursor's arraysize attribute can affect the
            performance of this operation.
            
            An Error (or subclass) exception is raised if the previous
            call to executeXXX() did not produce any result set or no
            call was issued yet.
            
          nextset() 
          
            (This method is optional since not all databases support
            multiple result sets. [3])
            
            This method will make the cursor skip to the next
            available set, discarding any remaining rows from the
            current set.
            
            If there are no more sets, the method returns
            None. Otherwise, it returns a true value and subsequent
            calls to the fetch methods will return rows from the next
            result set.
            
            An Error (or subclass) exception is raised if the previous
            call to executeXXX() did not produce any result set or no
            call was issued yet.

        arraysize
          
            This read/write attribute specifies the number of rows to
            fetch at a time with fetchmany(). It defaults to 1 meaning
            to fetch a single row at a time.
            
            Implementations must observe this value with respect to
            the fetchmany() method, but are free to interact with the
            database a single row at a time. It may also be used in
            the implementation of executemany().
            
        setinputsizes(sizes)
          
            This can be used before a call to executeXXX() to
            predefine memory areas for the operation's parameters.
            
            sizes is specified as a sequence -- 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 executeXXX() method
            is invoked.
            
            Implementations are free to have this method do nothing
            and users are free to not use it.
            
        setoutputsize(size[,column])
          
            Set a column buffer size for fetches of large columns
            (e.g. LONGs, BLOBs, etc.).  The column is specified as an
            index into the result sequence.  Not specifying the column
            will set the default size for all large columns in the
            cursor.
            
            This method would be used before the executeXXX() method
            is invoked.
            
            Implementations are free to have this method do nothing
            and users are free to not use it.
            

Type Objects and Constructors

    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 executeXXX() 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, a module must provide the constructors
    defined below to create objects that can hold special values.
    When passed to the cursor methods, the module can then detect the
    proper type of the input parameter and bind it accordingly.

    A Cursor Object's description attribute returns information about
    each of the result columns of a query.  The type_code must compare
    equal to one of Type Objects defined below. Type Objects may be
    equal to more than one type code (e.g. DATETIME could be equal to
    the type codes for date, time and timestamp columns; see the
    Implementation Hints below for details).

    The module exports the following constructors and singletons:
        
        Date(year,month,day)

            This function constructs an object holding a date value.
            
        Time(hour,minute,second)

            This function constructs an object holding a time value.
            
        Timestamp(year,month,day,hour,minute,second)

            This function constructs an object holding a time stamp
            value.

        DateFromTicks(ticks)

            This function constructs an object holding a date value
            from the given ticks value (number of seconds since the
            epoch; see the documentation of the standard Python time
            module for details).

        TimeFromTicks(ticks)
          
            This function constructs an object holding a time value
            from the given ticks value (number of seconds since the
            epoch; see the documentation of the standard Python time
            module for details).
            
        TimestampFromTicks(ticks)

            This function constructs an object holding a time stamp
            value from the given ticks value (number of seconds since
            the epoch; see the documentation of the standard Python
            time module for details).

        Binary(string)
          
            This function constructs an object capable of holding a
            binary (long) string value.
            

        STRING

            This type object is used to describe columns in a database
            that are string-based (e.g. CHAR).

        BINARY

            This type object is used to describe (long) binary columns
            in a database (e.g. LONG, RAW, BLOBs).
            
        NUMBER

            This type object is used to describe numeric columns in a
            database.

        DATETIME
          
            This type object is used to describe date/time columns in
            a database.
            
        ROWID
          
            This type object is used to describe the "Row ID" column
            in a database.
            
    SQL NULL values are represented by the Python None singleton on
    input and output.

    Note: Usage of Unix ticks for database interfacing can cause
    troubles because of the limited date range they cover.

Implementation Hints

    * The preferred object types for the date/time objects are those
      defined in the mxDateTime package. It provides all necessary
      constructors and methods both at Python and C level.
        
    * The preferred object type for Binary objects are the
      buffer types available in standard Python starting with
      version 1.5.2. Please see the Python documentation for
      details. For information about the the C interface have a
      look at Include/bufferobject.h and
      Objects/bufferobject.c in the Python source
      distribution.
        
    * Here is a sample implementation of the Unix ticks based
      constructors for date/time delegating work to the generic
      constructors:

        import time

        def DateFromTicks(ticks):
            return apply(Date,time.localtime(ticks)[:3])

        def TimeFromTicks(ticks):
            return apply(Time,time.localtime(ticks)[3:6])

        def TimestampFromTicks(ticks):
            return apply(Timestamp,time.localtime(ticks)[:6])

    * This Python class allows implementing the above type
      objects even though the description type code field yields
      multiple values for on type object:

        class DBAPITypeObject:
            def __init__(self,*values):
                self.values = values
            def __cmp__(self,other):
                if other in self.values:
                    return 0
                if other < self.values:
                    return 1
                else:
                    return -1

      The resulting type object compares equal to all values
      passed to the constructor.

    * Here is a snippet of Python code that implements the exception
      hierarchy defined above:

        import exceptions

        class Error(exceptions.StandardError):
            pass

        class Warning(exceptions.StandardError):
            pass

        class InterfaceError(Error):
            pass

        class DatabaseError(Error):
            pass

        class InternalError(DatabaseError):
            pass

        class OperationalError(DatabaseError):
            pass

        class ProgrammingError(DatabaseError):
            pass

        class IntegrityError(DatabaseError):
            pass

        class DataError(DatabaseError):
            pass

        class NotSupportedError(DatabaseError):
            pass
        
      In C you can use the PyErr_NewException(fullname,
      base, NULL) API to create the exception objects.


Major Changes from Version 1.0 to Version 2.0

    The Python Database API 2.0 introduces a few major changes
    compared to the 1.0 version. Because some of these changes will
    cause existing DB API 1.0 based scripts to break, the major
    version number was adjusted to reflect this change.
        
    These are the most important changes from 1.0 to 2.0:
        
        * The need for a separate dbi module was dropped and the
          functionality merged into the module interface itself.

        * New constructors and Type Objects were added for date/time
          values, the RAW Type Object was renamed to BINARY. The
          resulting set should cover all basic data types commonly
          found in modern SQL databases.

        * New constants (apilevel, threadlevel, paramstyle) and
          methods (executemany, nextset) were added to provide better
          database bindings.
            
        * The semantics of .callproc() needed to call stored
          procedures are now clearly defined.
            
        * The definition of the .execute() return value changed.
          Previously, the return value was based on the SQL statement
          type (which was hard to implement right) -- it is undefined
          now; use the more flexible .rowcount attribute
          instead. Modules are free to return the old style return
          values, but these are no longer mandated by the
          specification and should be considered database interface
          dependent.
            
        * Class based exceptions were incorporated into the
          specification.  Module implementors are free to extend the
          exception layout defined in this specification by
          subclassing the defined exception classes.


Open Issues

    Although the version 2.0 specification clarifies a lot of
    questions that were left open in the 1.0 version, there are still
    some remaining issues:
        
        * Define a useful return value for .nextset() for the case where
          a new result set is available.
        
        * Create a fixed point numeric type for use as loss-less
          monetary and decimal interchange format.


Footnotes

    [1] As a guideline the connection constructor parameters should be
        implemented as keyword parameters for more intuitive use and
        follow this order of parameters:
        
        dsn         Data source name as string
        user        User name as string (optional)
        password    Password as string (optional)
        host        Hostname (optional)
        database    Database name (optional)
        
        E.g. a connect could look like this:
        
        connect(dsn='myhost:MYDB',user='guido',password='234$')
        
    [2] Module implementors should prefer 'numeric', 'named' or
        'pyformat' over the other formats because these offer more
        clarity and flexibility.

    [3] If the database does not support the functionality required
        by the method, the interface should throw an exception in
        case the method is used.
        
        The preferred approach is to not implement the method and
        thus have Python generate an AttributeError in
        case the method is requested. This allows the programmer to
        check for database capabilities using the standard
        hasattr() function.
        
        For some dynamically configured interfaces it may not be
        appropriate to require dynamically making the method
        available. These interfaces should then raise a
        NotSupportedError to indicate the non-ability
        to perform the roll back when the method is invoked.
          
    [4] a database interface may choose to support named cursors by
        allowing a string argument to the method. This feature is
        not part of the specification, since it complicates
        semantics of the .fetchXXX() methods.
        
    [5] The module will use the __getitem__ method of the parameters
        object to map either positions (integers) or names (strings)
        to parameter values. This allows for both sequences and
        mappings to be used as input.
        
        The term "bound" refers to the process of binding an input
        value to a database execution buffer. In practical terms,
        this means that the input value is directly used as a value
        in the operation.  The client should not be required to
        "escape" the value so that it can be used -- the value
        should be equal to the actual database value.
        
    [6] Note that the interface may implement row fetching using
        arrays and other optimizations. It is not
        guaranteed that a call to this method will only move the
        associated cursor forward by one row.
       
    [7] The rowcount attribute may be coded in a way that updates
        its value dynamically. This can be useful for databases that
        return usable rowcount values only after the first call to
        a .fetchXXX() method.

Acknowledgements

    Many thanks go to Andrew Kuchling who converted the Python
    Database API Specification 2.0 from the original HTML format into
    the PEP format.

Copyright

    This document has been placed in the Public Domain.



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