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dibbler/sqlalchemy/engine/base.py

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morro
2010-05-07 19:33:49 +02:00
# engine/base.py
# Copyright (C) 2005, 2006, 2007, 2008, 2009, 2010 Michael Bayer mike_mp@zzzcomputing.com
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
"""Basic components for SQL execution and interfacing with DB-API.
Defines the basic components used to interface DB-API modules with
higher-level statement-construction, connection-management, execution
and result contexts.
"""
__all__ = [
'BufferedColumnResultProxy', 'BufferedColumnRow', 'BufferedRowResultProxy',
'Compiled', 'Connectable', 'Connection', 'Dialect', 'Engine',
'ExecutionContext', 'NestedTransaction', 'ResultProxy', 'RootTransaction',
'RowProxy', 'SchemaIterator', 'StringIO', 'Transaction', 'TwoPhaseTransaction',
'connection_memoize']
import inspect, StringIO, sys, operator
from itertools import izip
from sqlalchemy import exc, schema, util, types, log
from sqlalchemy.sql import expression
class Dialect(object):
"""Define the behavior of a specific database and DB-API combination.
Any aspect of metadata definition, SQL query generation,
execution, result-set handling, or anything else which varies
between databases is defined under the general category of the
Dialect. The Dialect acts as a factory for other
database-specific object implementations including
ExecutionContext, Compiled, DefaultGenerator, and TypeEngine.
All Dialects implement the following attributes:
name
identifying name for the dialect from a DBAPI-neutral point of view
(i.e. 'sqlite')
driver
identifying name for the dialect's DBAPI
positional
True if the paramstyle for this Dialect is positional.
paramstyle
the paramstyle to be used (some DB-APIs support multiple
paramstyles).
convert_unicode
True if Unicode conversion should be applied to all ``str``
types.
encoding
type of encoding to use for unicode, usually defaults to
'utf-8'.
statement_compiler
a :class:`~Compiled` class used to compile SQL statements
ddl_compiler
a :class:`~Compiled` class used to compile DDL statements
server_version_info
a tuple containing a version number for the DB backend in use.
This value is only available for supporting dialects, and is
typically populated during the initial connection to the database.
default_schema_name
the name of the default schema. This value is only available for
supporting dialects, and is typically populated during the
initial connection to the database.
execution_ctx_cls
a :class:`ExecutionContext` class used to handle statement execution
execute_sequence_format
either the 'tuple' or 'list' type, depending on what cursor.execute()
accepts for the second argument (they vary).
preparer
a :class:`~sqlalchemy.sql.compiler.IdentifierPreparer` class used to
quote identifiers.
supports_alter
``True`` if the database supports ``ALTER TABLE``.
max_identifier_length
The maximum length of identifier names.
supports_unicode_statements
Indicate whether the DB-API can receive SQL statements as Python
unicode strings
supports_unicode_binds
Indicate whether the DB-API can receive string bind parameters
as Python unicode strings
supports_sane_rowcount
Indicate whether the dialect properly implements rowcount for
``UPDATE`` and ``DELETE`` statements.
supports_sane_multi_rowcount
Indicate whether the dialect properly implements rowcount for
``UPDATE`` and ``DELETE`` statements when executed via
executemany.
preexecute_autoincrement_sequences
True if 'implicit' primary key functions must be executed separately
in order to get their value. This is currently oriented towards
Postgresql.
implicit_returning
use RETURNING or equivalent during INSERT execution in order to load
newly generated primary keys and other column defaults in one execution,
which are then available via inserted_primary_key.
If an insert statement has returning() specified explicitly,
the "implicit" functionality is not used and inserted_primary_key
will not be available.
dbapi_type_map
A mapping of DB-API type objects present in this Dialect's
DB-API implementation mapped to TypeEngine implementations used
by the dialect.
This is used to apply types to result sets based on the DB-API
types present in cursor.description; it only takes effect for
result sets against textual statements where no explicit
typemap was present.
colspecs
A dictionary of TypeEngine classes from sqlalchemy.types mapped
to subclasses that are specific to the dialect class. This
dictionary is class-level only and is not accessed from the
dialect instance itself.
supports_default_values
Indicates if the construct ``INSERT INTO tablename DEFAULT
VALUES`` is supported
supports_sequences
Indicates if the dialect supports CREATE SEQUENCE or similar.
sequences_optional
If True, indicates if the "optional" flag on the Sequence() construct
should signal to not generate a CREATE SEQUENCE. Applies only to
dialects that support sequences. Currently used only to allow Postgresql
SERIAL to be used on a column that specifies Sequence() for usage on
other backends.
supports_native_enum
Indicates if the dialect supports a native ENUM construct.
This will prevent types.Enum from generating a CHECK
constraint when that type is used.
supports_native_boolean
Indicates if the dialect supports a native boolean construct.
This will prevent types.Boolean from generating a CHECK
constraint when that type is used.
"""
def create_connect_args(self, url):
"""Build DB-API compatible connection arguments.
Given a :class:`~sqlalchemy.engine.url.URL` object, returns a tuple
consisting of a `*args`/`**kwargs` suitable to send directly
to the dbapi's connect function.
"""
raise NotImplementedError()
@classmethod
def type_descriptor(cls, typeobj):
"""Transform a generic type to a dialect-specific type.
Dialect classes will usually use the
:func:`~sqlalchemy.types.adapt_type` function in the types module to
make this job easy.
The returned result is cached *per dialect class* so can
contain no dialect-instance state.
"""
raise NotImplementedError()
def initialize(self, connection):
"""Called during strategized creation of the dialect with a connection.
Allows dialects to configure options based on server version info or
other properties.
The connection passed here is a SQLAlchemy Connection object,
with full capabilities.
The initalize() method of the base dialect should be called via
super().
"""
pass
def reflecttable(self, connection, table, include_columns=None):
"""Load table description from the database.
Given a :class:`~sqlalchemy.engine.Connection` and a
:class:`~sqlalchemy.schema.Table` object, reflect its columns and
properties from the database. If include_columns (a list or
set) is specified, limit the autoload to the given column
names.
The default implementation uses the
:class:`~sqlalchemy.engine.reflection.Inspector` interface to
provide the output, building upon the granular table/column/
constraint etc. methods of :class:`Dialect`.
"""
raise NotImplementedError()
def get_columns(self, connection, table_name, schema=None, **kw):
"""Return information about columns in `table_name`.
Given a :class:`~sqlalchemy.engine.Connection`, a string
`table_name`, and an optional string `schema`, return column
information as a list of dictionaries with these keys:
name
the column's name
type
[sqlalchemy.types#TypeEngine]
nullable
boolean
default
the column's default value
autoincrement
boolean
sequence
a dictionary of the form
{'name' : str, 'start' :int, 'increment': int}
Additional column attributes may be present.
"""
raise NotImplementedError()
def get_primary_keys(self, connection, table_name, schema=None, **kw):
"""Return information about primary keys in `table_name`.
Given a :class:`~sqlalchemy.engine.Connection`, a string
`table_name`, and an optional string `schema`, return primary
key information as a list of column names.
"""
raise NotImplementedError()
def get_foreign_keys(self, connection, table_name, schema=None, **kw):
"""Return information about foreign_keys in `table_name`.
Given a :class:`~sqlalchemy.engine.Connection`, a string
`table_name`, and an optional string `schema`, return foreign
key information as a list of dicts with these keys:
name
the constraint's name
constrained_columns
a list of column names that make up the foreign key
referred_schema
the name of the referred schema
referred_table
the name of the referred table
referred_columns
a list of column names in the referred table that correspond to
constrained_columns
"""
raise NotImplementedError()
def get_table_names(self, connection, schema=None, **kw):
"""Return a list of table names for `schema`."""
raise NotImplementedError
def get_view_names(self, connection, schema=None, **kw):
"""Return a list of all view names available in the database.
schema:
Optional, retrieve names from a non-default schema.
"""
raise NotImplementedError()
def get_view_definition(self, connection, view_name, schema=None, **kw):
"""Return view definition.
Given a :class:`~sqlalchemy.engine.Connection`, a string
`view_name`, and an optional string `schema`, return the view
definition.
"""
raise NotImplementedError()
def get_indexes(self, connection, table_name, schema=None, **kw):
"""Return information about indexes in `table_name`.
Given a :class:`~sqlalchemy.engine.Connection`, a string
`table_name` and an optional string `schema`, return index
information as a list of dictionaries with these keys:
name
the index's name
column_names
list of column names in order
unique
boolean
"""
raise NotImplementedError()
def normalize_name(self, name):
"""convert the given name to lowercase if it is detected as case insensitive.
this method is only used if the dialect defines requires_name_normalize=True.
"""
raise NotImplementedError()
def denormalize_name(self, name):
"""convert the given name to a case insensitive identifier for the backend
if it is an all-lowercase name.
this method is only used if the dialect defines requires_name_normalize=True.
"""
raise NotImplementedError()
def has_table(self, connection, table_name, schema=None):
"""Check the existence of a particular table in the database.
Given a :class:`~sqlalchemy.engine.Connection` object and a string
`table_name`, return True if the given table (possibly within
the specified `schema`) exists in the database, False
otherwise.
"""
raise NotImplementedError()
def has_sequence(self, connection, sequence_name, schema=None):
"""Check the existence of a particular sequence in the database.
Given a :class:`~sqlalchemy.engine.Connection` object and a string
`sequence_name`, return True if the given sequence exists in
the database, False otherwise.
"""
raise NotImplementedError()
def _get_server_version_info(self, connection):
"""Retrieve the server version info from the given connection.
This is used by the default implementation to populate the
"server_version_info" attribute and is called exactly
once upon first connect.
"""
raise NotImplementedError()
def _get_default_schema_name(self, connection):
"""Return the string name of the currently selected schema from the given connection.
This is used by the default implementation to populate the
"default_schema_name" attribute and is called exactly
once upon first connect.
"""
raise NotImplementedError()
def do_begin(self, connection):
"""Provide an implementation of *connection.begin()*, given a DB-API connection."""
raise NotImplementedError()
def do_rollback(self, connection):
"""Provide an implementation of *connection.rollback()*, given a DB-API connection."""
raise NotImplementedError()
def create_xid(self):
"""Create a two-phase transaction ID.
This id will be passed to do_begin_twophase(),
do_rollback_twophase(), do_commit_twophase(). Its format is
unspecified.
"""
raise NotImplementedError()
def do_commit(self, connection):
"""Provide an implementation of *connection.commit()*, given a DB-API connection."""
raise NotImplementedError()
def do_savepoint(self, connection, name):
"""Create a savepoint with the given name on a SQLAlchemy connection."""
raise NotImplementedError()
def do_rollback_to_savepoint(self, connection, name):
"""Rollback a SQL Alchemy connection to the named savepoint."""
raise NotImplementedError()
def do_release_savepoint(self, connection, name):
"""Release the named savepoint on a SQL Alchemy connection."""
raise NotImplementedError()
def do_begin_twophase(self, connection, xid):
"""Begin a two phase transaction on the given connection."""
raise NotImplementedError()
def do_prepare_twophase(self, connection, xid):
"""Prepare a two phase transaction on the given connection."""
raise NotImplementedError()
def do_rollback_twophase(self, connection, xid, is_prepared=True, recover=False):
"""Rollback a two phase transaction on the given connection."""
raise NotImplementedError()
def do_commit_twophase(self, connection, xid, is_prepared=True, recover=False):
"""Commit a two phase transaction on the given connection."""
raise NotImplementedError()
def do_recover_twophase(self, connection):
"""Recover list of uncommited prepared two phase transaction identifiers on the given connection."""
raise NotImplementedError()
def do_executemany(self, cursor, statement, parameters, context=None):
"""Provide an implementation of *cursor.executemany(statement, parameters)*."""
raise NotImplementedError()
def do_execute(self, cursor, statement, parameters, context=None):
"""Provide an implementation of *cursor.execute(statement, parameters)*."""
raise NotImplementedError()
def is_disconnect(self, e):
"""Return True if the given DB-API error indicates an invalid connection"""
raise NotImplementedError()
def on_connect(self):
"""return a callable which sets up a newly created DBAPI connection.
The callable accepts a single argument "conn" which is the
DBAPI connection itself. It has no return value.
This is used to set dialect-wide per-connection options such as isolation
modes, unicode modes, etc.
If a callable is returned, it will be assembled into a pool listener
that receives the direct DBAPI connection, with all wrappers removed.
If None is returned, no listener will be generated.
"""
return None
class ExecutionContext(object):
"""A messenger object for a Dialect that corresponds to a single execution.
ExecutionContext should have these data members:
connection
Connection object which can be freely used by default value
generators to execute SQL. This Connection should reference the
same underlying connection/transactional resources of
root_connection.
root_connection
Connection object which is the source of this ExecutionContext. This
Connection may have close_with_result=True set, in which case it can
only be used once.
dialect
dialect which created this ExecutionContext.
cursor
DB-API cursor procured from the connection,
compiled
if passed to constructor, sqlalchemy.engine.base.Compiled object
being executed,
statement
string version of the statement to be executed. Is either
passed to the constructor, or must be created from the
sql.Compiled object by the time pre_exec() has completed.
parameters
bind parameters passed to the execute() method. For compiled
statements, this is a dictionary or list of dictionaries. For
textual statements, it should be in a format suitable for the
dialect's paramstyle (i.e. dict or list of dicts for non
positional, list or list of lists/tuples for positional).
isinsert
True if the statement is an INSERT.
isupdate
True if the statement is an UPDATE.
should_autocommit
True if the statement is a "committable" statement.
postfetch_cols
a list of Column objects for which a server-side default or
inline SQL expression value was fired off. Applies to inserts
and updates.
"""
def create_cursor(self):
"""Return a new cursor generated from this ExecutionContext's connection.
Some dialects may wish to change the behavior of
connection.cursor(), such as postgresql which may return a PG
"server side" cursor.
"""
raise NotImplementedError()
def pre_exec(self):
"""Called before an execution of a compiled statement.
If a compiled statement was passed to this ExecutionContext,
the `statement` and `parameters` datamembers must be
initialized after this statement is complete.
"""
raise NotImplementedError()
def post_exec(self):
"""Called after the execution of a compiled statement.
If a compiled statement was passed to this ExecutionContext,
the `last_insert_ids`, `last_inserted_params`, etc.
datamembers should be available after this method completes.
"""
raise NotImplementedError()
def result(self):
"""Return a result object corresponding to this ExecutionContext.
Returns a ResultProxy.
"""
raise NotImplementedError()
def handle_dbapi_exception(self, e):
"""Receive a DBAPI exception which occured upon execute, result fetch, etc."""
raise NotImplementedError()
def should_autocommit_text(self, statement):
"""Parse the given textual statement and return True if it refers to a "committable" statement"""
raise NotImplementedError()
def last_inserted_params(self):
"""Return a dictionary of the full parameter dictionary for the last compiled INSERT statement.
Includes any ColumnDefaults or Sequences that were pre-executed.
"""
raise NotImplementedError()
def last_updated_params(self):
"""Return a dictionary of the full parameter dictionary for the last compiled UPDATE statement.
Includes any ColumnDefaults that were pre-executed.
"""
raise NotImplementedError()
def lastrow_has_defaults(self):
"""Return True if the last INSERT or UPDATE row contained
inlined or database-side defaults.
"""
raise NotImplementedError()
def get_rowcount(self):
"""Return the number of rows produced (by a SELECT query)
or affected (by an INSERT/UPDATE/DELETE statement).
Note that this row count may not be properly implemented
in some dialects; this is indicated by the
``supports_sane_rowcount`` and ``supports_sane_multi_rowcount``
dialect attributes.
"""
raise NotImplementedError()
class Compiled(object):
"""Represent a compiled SQL or DDL expression.
The ``__str__`` method of the ``Compiled`` object should produce
the actual text of the statement. ``Compiled`` objects are
specific to their underlying database dialect, and also may
or may not be specific to the columns referenced within a
particular set of bind parameters. In no case should the
``Compiled`` object be dependent on the actual values of those
bind parameters, even though it may reference those values as
defaults.
"""
def __init__(self, dialect, statement, bind=None):
"""Construct a new ``Compiled`` object.
:param dialect: ``Dialect`` to compile against.
:param statement: ``ClauseElement`` to be compiled.
:param bind: Optional Engine or Connection to compile this statement against.
"""
self.dialect = dialect
self.statement = statement
self.bind = bind
self.can_execute = statement.supports_execution
def compile(self):
"""Produce the internal string representation of this element."""
self.string = self.process(self.statement)
@property
def sql_compiler(self):
"""Return a Compiled that is capable of processing SQL expressions.
If this compiler is one, it would likely just return 'self'.
"""
raise NotImplementedError()
def process(self, obj, **kwargs):
return obj._compiler_dispatch(self, **kwargs)
def __str__(self):
"""Return the string text of the generated SQL or DDL."""
return self.string or ''
def construct_params(self, params=None):
"""Return the bind params for this compiled object.
:param params: a dict of string/object pairs whos values will
override bind values compiled in to the
statement.
"""
raise NotImplementedError()
@property
def params(self):
"""Return the bind params for this compiled object."""
return self.construct_params()
def execute(self, *multiparams, **params):
"""Execute this compiled object."""
e = self.bind
if e is None:
raise exc.UnboundExecutionError("This Compiled object is not bound to any Engine or Connection.")
return e._execute_compiled(self, multiparams, params)
def scalar(self, *multiparams, **params):
"""Execute this compiled object and return the result's scalar value."""
return self.execute(*multiparams, **params).scalar()
class TypeCompiler(object):
"""Produces DDL specification for TypeEngine objects."""
def __init__(self, dialect):
self.dialect = dialect
def process(self, type_):
return type_._compiler_dispatch(self)
class Connectable(object):
"""Interface for an object which supports execution of SQL constructs.
The two implementations of ``Connectable`` are :class:`Connection` and
:class:`Engine`.
Connectable must also implement the 'dialect' member which references a
:class:`Dialect` instance.
"""
def contextual_connect(self):
"""Return a Connection object which may be part of an ongoing context."""
raise NotImplementedError()
def create(self, entity, **kwargs):
"""Create a table or index given an appropriate schema object."""
raise NotImplementedError()
def drop(self, entity, **kwargs):
"""Drop a table or index given an appropriate schema object."""
raise NotImplementedError()
def execute(self, object, *multiparams, **params):
raise NotImplementedError()
def _execute_clauseelement(self, elem, multiparams=None, params=None):
raise NotImplementedError()
class Connection(Connectable):
"""Provides high-level functionality for a wrapped DB-API connection.
Provides execution support for string-based SQL statements as well
as ClauseElement, Compiled and DefaultGenerator objects. Provides
a begin method to return Transaction objects.
The Connection object is **not** thread-safe.
.. index::
single: thread safety; Connection
"""
_execution_options = util.frozendict()
def __init__(self, engine, connection=None, close_with_result=False,
_branch=False, _execution_options=None):
"""Construct a new Connection.
Connection objects are typically constructed by an
:class:`~sqlalchemy.engine.Engine`, see the ``connect()`` and
``contextual_connect()`` methods of Engine.
"""
self.engine = engine
self.__connection = connection or engine.raw_connection()
self.__transaction = None
self.should_close_with_result = close_with_result
self.__savepoint_seq = 0
self.__branch = _branch
self.__invalid = False
self._echo = self.engine._should_log_info()
if _execution_options:
self._execution_options = self._execution_options.union(_execution_options)
def _branch(self):
"""Return a new Connection which references this Connection's
engine and connection; but does not have close_with_result enabled,
and also whose close() method does nothing.
This is used to execute "sub" statements within a single execution,
usually an INSERT statement.
"""
return self.engine.Connection(self.engine, self.__connection, _branch=True)
def execution_options(self, **opt):
""" Set non-SQL options for the connection which take effect during execution.
The method returns a copy of this :class:`Connection` which references
the same underlying DBAPI connection, but also defines the given execution
options which will take effect for a call to :meth:`execute`. As the new
:class:`Connection` references the same underlying resource, it is probably
best to ensure that the copies would be discarded immediately, which
is implicit if used as in::
result = connection.execution_options(stream_results=True).execute(stmt)
The options are the same as those accepted by
:meth:`sqlalchemy.sql.expression.Executable.execution_options`.
"""
return self.engine.Connection(
self.engine, self.__connection,
_branch=self.__branch, _execution_options=opt)
@property
def dialect(self):
"Dialect used by this Connection."
return self.engine.dialect
@property
def closed(self):
"""Return True if this connection is closed."""
return not self.__invalid and '_Connection__connection' not in self.__dict__
@property
def invalidated(self):
"""Return True if this connection was invalidated."""
return self.__invalid
@property
def connection(self):
"The underlying DB-API connection managed by this Connection."
try:
return self.__connection
except AttributeError:
if self.__invalid:
if self.__transaction is not None:
raise exc.InvalidRequestError("Can't reconnect until invalid transaction is rolled back")
self.__connection = self.engine.raw_connection()
self.__invalid = False
return self.__connection
raise exc.InvalidRequestError("This Connection is closed")
@property
def info(self):
"""A collection of per-DB-API connection instance properties."""
return self.connection.info
def connect(self):
"""Returns self.
This ``Connectable`` interface method returns self, allowing
Connections to be used interchangably with Engines in most
situations that require a bind.
"""
return self
def contextual_connect(self, **kwargs):
"""Returns self.
This ``Connectable`` interface method returns self, allowing
Connections to be used interchangably with Engines in most
situations that require a bind.
"""
return self
def invalidate(self, exception=None):
"""Invalidate the underlying DBAPI connection associated with this Connection.
The underlying DB-API connection is literally closed (if
possible), and is discarded. Its source connection pool will
typically lazily create a new connection to replace it.
Upon the next usage, this Connection will attempt to reconnect
to the pool with a new connection.
Transactions in progress remain in an "opened" state (even though
the actual transaction is gone); these must be explicitly
rolled back before a reconnect on this Connection can proceed. This
is to prevent applications from accidentally continuing their transactional
operations in a non-transactional state.
"""
if self.closed:
raise exc.InvalidRequestError("This Connection is closed")
if self.__connection.is_valid:
self.__connection.invalidate(exception)
del self.__connection
self.__invalid = True
def detach(self):
"""Detach the underlying DB-API connection from its connection pool.
This Connection instance will remain useable. When closed,
the DB-API connection will be literally closed and not
returned to its pool. The pool will typically lazily create a
new connection to replace the detached connection.
This method can be used to insulate the rest of an application
from a modified state on a connection (such as a transaction
isolation level or similar). Also see
:class:`~sqlalchemy.interfaces.PoolListener` for a mechanism to modify
connection state when connections leave and return to their
connection pool.
"""
self.__connection.detach()
def begin(self):
"""Begin a transaction and return a Transaction handle.
Repeated calls to ``begin`` on the same Connection will create
a lightweight, emulated nested transaction. Only the
outermost transaction may ``commit``. Calls to ``commit`` on
inner transactions are ignored. Any transaction in the
hierarchy may ``rollback``, however.
"""
if self.__transaction is None:
self.__transaction = RootTransaction(self)
return self.__transaction
else:
return Transaction(self, self.__transaction)
def begin_nested(self):
"""Begin a nested transaction and return a Transaction handle.
Nested transactions require SAVEPOINT support in the
underlying database. Any transaction in the hierarchy may
``commit`` and ``rollback``, however the outermost transaction
still controls the overall ``commit`` or ``rollback`` of the
transaction of a whole.
"""
if self.__transaction is None:
self.__transaction = RootTransaction(self)
else:
self.__transaction = NestedTransaction(self, self.__transaction)
return self.__transaction
def begin_twophase(self, xid=None):
"""Begin a two-phase or XA transaction and return a Transaction handle.
:param xid: the two phase transaction id. If not supplied, a random id
will be generated.
"""
if self.__transaction is not None:
raise exc.InvalidRequestError(
"Cannot start a two phase transaction when a transaction "
"is already in progress.")
if xid is None:
xid = self.engine.dialect.create_xid();
self.__transaction = TwoPhaseTransaction(self, xid)
return self.__transaction
def recover_twophase(self):
return self.engine.dialect.do_recover_twophase(self)
def rollback_prepared(self, xid, recover=False):
self.engine.dialect.do_rollback_twophase(self, xid, recover=recover)
def commit_prepared(self, xid, recover=False):
self.engine.dialect.do_commit_twophase(self, xid, recover=recover)
def in_transaction(self):
"""Return True if a transaction is in progress."""
return self.__transaction is not None
def _begin_impl(self):
if self._echo:
self.engine.logger.info("BEGIN")
try:
self.engine.dialect.do_begin(self.connection)
except Exception, e:
self._handle_dbapi_exception(e, None, None, None, None)
raise
def _rollback_impl(self):
# use getattr() for is_valid to support exceptions raised in dialect initializer,
# where we do not yet have the pool wrappers plugged in
if not self.closed and not self.invalidated and \
getattr(self.__connection, 'is_valid', False):
if self._echo:
self.engine.logger.info("ROLLBACK")
try:
self.engine.dialect.do_rollback(self.connection)
self.__transaction = None
except Exception, e:
self._handle_dbapi_exception(e, None, None, None, None)
raise
else:
self.__transaction = None
def _commit_impl(self):
if self._echo:
self.engine.logger.info("COMMIT")
try:
self.engine.dialect.do_commit(self.connection)
self.__transaction = None
except Exception, e:
self._handle_dbapi_exception(e, None, None, None, None)
raise
def _savepoint_impl(self, name=None):
if name is None:
self.__savepoint_seq += 1
name = 'sa_savepoint_%s' % self.__savepoint_seq
if self.__connection.is_valid:
self.engine.dialect.do_savepoint(self, name)
return name
def _rollback_to_savepoint_impl(self, name, context):
if self.__connection.is_valid:
self.engine.dialect.do_rollback_to_savepoint(self, name)
self.__transaction = context
def _release_savepoint_impl(self, name, context):
if self.__connection.is_valid:
self.engine.dialect.do_release_savepoint(self, name)
self.__transaction = context
def _begin_twophase_impl(self, xid):
if self.__connection.is_valid:
self.engine.dialect.do_begin_twophase(self, xid)
def _prepare_twophase_impl(self, xid):
if self.__connection.is_valid:
assert isinstance(self.__transaction, TwoPhaseTransaction)
self.engine.dialect.do_prepare_twophase(self, xid)
def _rollback_twophase_impl(self, xid, is_prepared):
if self.__connection.is_valid:
assert isinstance(self.__transaction, TwoPhaseTransaction)
self.engine.dialect.do_rollback_twophase(self, xid, is_prepared)
self.__transaction = None
def _commit_twophase_impl(self, xid, is_prepared):
if self.__connection.is_valid:
assert isinstance(self.__transaction, TwoPhaseTransaction)
self.engine.dialect.do_commit_twophase(self, xid, is_prepared)
self.__transaction = None
def _autorollback(self):
if not self.in_transaction():
self._rollback_impl()
def close(self):
"""Close this Connection."""
try:
conn = self.__connection
except AttributeError:
return
if not self.__branch:
conn.close()
self.__invalid = False
del self.__connection
self.__transaction = None
def scalar(self, object, *multiparams, **params):
"""Executes and returns the first column of the first row.
The underlying result/cursor is closed after execution.
"""
return self.execute(object, *multiparams, **params).scalar()
def execute(self, object, *multiparams, **params):
"""Executes and returns a ResultProxy."""
for c in type(object).__mro__:
if c in Connection.executors:
return Connection.executors[c](self, object, multiparams, params)
else:
raise exc.InvalidRequestError("Unexecutable object type: " + str(type(object)))
def __distill_params(self, multiparams, params):
"""Given arguments from the calling form *multiparams, **params, return a list
of bind parameter structures, usually a list of dictionaries.
In the case of 'raw' execution which accepts positional parameters,
it may be a list of tuples or lists.
"""
if not multiparams:
if params:
return [params]
else:
return []
elif len(multiparams) == 1:
zero = multiparams[0]
if isinstance(zero, (list, tuple)):
if not zero or hasattr(zero[0], '__iter__'):
return zero
else:
return [zero]
elif hasattr(zero, 'keys'):
return [zero]
else:
return [[zero]]
else:
if hasattr(multiparams[0], '__iter__'):
return multiparams
else:
return [multiparams]
def _execute_function(self, func, multiparams, params):
return self._execute_clauseelement(func.select(), multiparams, params)
def _execute_default(self, default, multiparams, params):
ctx = self.__create_execution_context()
ret = ctx._exec_default(default)
if self.should_close_with_result:
self.close()
return ret
def _execute_ddl(self, ddl, params, multiparams):
context = self.__create_execution_context(
compiled_ddl=ddl.compile(dialect=self.dialect),
parameters=None
)
return self.__execute_context(context)
def _execute_clauseelement(self, elem, multiparams, params):
params = self.__distill_params(multiparams, params)
if params:
keys = params[0].keys()
else:
keys = []
context = self.__create_execution_context(
compiled_sql=elem.compile(
dialect=self.dialect, column_keys=keys,
inline=len(params) > 1),
parameters=params
)
return self.__execute_context(context)
def _execute_compiled(self, compiled, multiparams, params):
"""Execute a sql.Compiled object."""
context = self.__create_execution_context(
compiled_sql=compiled,
parameters=self.__distill_params(multiparams, params)
)
return self.__execute_context(context)
def _execute_text(self, statement, multiparams, params):
parameters = self.__distill_params(multiparams, params)
context = self.__create_execution_context(statement=statement, parameters=parameters)
return self.__execute_context(context)
def __execute_context(self, context):
if context.compiled:
context.pre_exec()
if context.executemany:
self._cursor_executemany(
context.cursor,
context.statement,
context.parameters, context=context)
else:
self._cursor_execute(
context.cursor,
context.statement,
context.parameters[0], context=context)
if context.compiled:
context.post_exec()
if context.isinsert and not context.executemany:
context.post_insert()
# create a resultproxy, get rowcount/implicit RETURNING
# rows, close cursor if no further results pending
r = context.get_result_proxy()._autoclose()
if self.__transaction is None and context.should_autocommit:
self._commit_impl()
if r.closed and self.should_close_with_result:
self.close()
return r
def _handle_dbapi_exception(self, e, statement, parameters, cursor, context):
if getattr(self, '_reentrant_error', False):
# Py3K
#raise exc.DBAPIError.instance(statement, parameters, e) from e
# Py2K
raise exc.DBAPIError.instance(statement, parameters, e), None, sys.exc_info()[2]
# end Py2K
self._reentrant_error = True
try:
if not isinstance(e, self.dialect.dbapi.Error):
return
if context:
context.handle_dbapi_exception(e)
is_disconnect = self.dialect.is_disconnect(e)
if is_disconnect:
self.invalidate(e)
self.engine.dispose()
else:
if cursor:
cursor.close()
self._autorollback()
if self.should_close_with_result:
self.close()
# Py3K
#raise exc.DBAPIError.instance(statement, parameters, e, connection_invalidated=is_disconnect) from e
# Py2K
raise exc.DBAPIError.instance(statement, parameters, e, connection_invalidated=is_disconnect), None, sys.exc_info()[2]
# end Py2K
finally:
del self._reentrant_error
def __create_execution_context(self, **kwargs):
try:
dialect = self.engine.dialect
return dialect.execution_ctx_cls(dialect, connection=self, **kwargs)
except Exception, e:
self._handle_dbapi_exception(e, kwargs.get('statement', None), kwargs.get('parameters', None), None, None)
raise
def _cursor_execute(self, cursor, statement, parameters, context=None):
if self._echo:
self.engine.logger.info(statement)
self.engine.logger.info("%r", parameters)
try:
self.dialect.do_execute(cursor, statement, parameters, context=context)
except Exception, e:
self._handle_dbapi_exception(e, statement, parameters, cursor, context)
raise
def _cursor_executemany(self, cursor, statement, parameters, context=None):
if self._echo:
self.engine.logger.info(statement)
self.engine.logger.info("%r", parameters)
try:
self.dialect.do_executemany(cursor, statement, parameters, context=context)
except Exception, e:
self._handle_dbapi_exception(e, statement, parameters, cursor, context)
raise
# poor man's multimethod/generic function thingy
executors = {
expression.FunctionElement: _execute_function,
expression.ClauseElement: _execute_clauseelement,
Compiled: _execute_compiled,
schema.SchemaItem: _execute_default,
schema.DDLElement: _execute_ddl,
basestring: _execute_text
}
def create(self, entity, **kwargs):
"""Create a Table or Index given an appropriate Schema object."""
return self.engine.create(entity, connection=self, **kwargs)
def drop(self, entity, **kwargs):
"""Drop a Table or Index given an appropriate Schema object."""
return self.engine.drop(entity, connection=self, **kwargs)
def reflecttable(self, table, include_columns=None):
"""Reflect the columns in the given string table name from the database."""
return self.engine.reflecttable(table, self, include_columns)
def default_schema_name(self):
return self.engine.dialect.get_default_schema_name(self)
def transaction(self, callable_, *args, **kwargs):
"""Execute the given function within a transaction boundary.
This is a shortcut for explicitly calling `begin()` and `commit()`
and optionally `rollback()` when exceptions are raised. The
given `*args` and `**kwargs` will be passed to the function.
See also transaction() on engine.
"""
trans = self.begin()
try:
ret = self.run_callable(callable_, *args, **kwargs)
trans.commit()
return ret
except:
trans.rollback()
raise
def run_callable(self, callable_, *args, **kwargs):
return callable_(self, *args, **kwargs)
class Transaction(object):
"""Represent a Transaction in progress.
The Transaction object is **not** threadsafe.
.. index::
single: thread safety; Transaction
"""
def __init__(self, connection, parent):
self.connection = connection
self._parent = parent or self
self.is_active = True
def close(self):
"""Close this transaction.
If this transaction is the base transaction in a begin/commit
nesting, the transaction will rollback(). Otherwise, the
method returns.
This is used to cancel a Transaction without affecting the scope of
an enclosing transaction.
"""
if not self._parent.is_active:
return
if self._parent is self:
self.rollback()
def rollback(self):
if not self._parent.is_active:
return
self._do_rollback()
self.is_active = False
def _do_rollback(self):
self._parent.rollback()
def commit(self):
if not self._parent.is_active:
raise exc.InvalidRequestError("This transaction is inactive")
self._do_commit()
self.is_active = False
def _do_commit(self):
pass
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
if type is None and self.is_active:
self.commit()
else:
self.rollback()
class RootTransaction(Transaction):
def __init__(self, connection):
super(RootTransaction, self).__init__(connection, None)
self.connection._begin_impl()
def _do_rollback(self):
if self.is_active:
self.connection._rollback_impl()
def _do_commit(self):
if self.is_active:
self.connection._commit_impl()
class NestedTransaction(Transaction):
def __init__(self, connection, parent):
super(NestedTransaction, self).__init__(connection, parent)
self._savepoint = self.connection._savepoint_impl()
def _do_rollback(self):
if self.is_active:
self.connection._rollback_to_savepoint_impl(self._savepoint, self._parent)
def _do_commit(self):
if self.is_active:
self.connection._release_savepoint_impl(self._savepoint, self._parent)
class TwoPhaseTransaction(Transaction):
def __init__(self, connection, xid):
super(TwoPhaseTransaction, self).__init__(connection, None)
self._is_prepared = False
self.xid = xid
self.connection._begin_twophase_impl(self.xid)
def prepare(self):
if not self._parent.is_active:
raise exc.InvalidRequestError("This transaction is inactive")
self.connection._prepare_twophase_impl(self.xid)
self._is_prepared = True
def _do_rollback(self):
self.connection._rollback_twophase_impl(self.xid, self._is_prepared)
def _do_commit(self):
self.connection._commit_twophase_impl(self.xid, self._is_prepared)
class Engine(Connectable, log.Identified):
"""
Connects a :class:`~sqlalchemy.pool.Pool` and :class:`~sqlalchemy.engine.base.Dialect`
together to provide a source of database connectivity and behavior.
An :class:`Engine` object is instantiated publically using the :func:`~sqlalchemy.create_engine`
function.
"""
def __init__(self, pool, dialect, url, logging_name=None, echo=None, proxy=None):
self.pool = pool
self.url = url
self.dialect = dialect
if logging_name:
self.logging_name = logging_name
self.echo = echo
self.engine = self
self.logger = log.instance_logger(self, echoflag=echo)
if proxy:
self.Connection = _proxy_connection_cls(Connection, proxy)
else:
self.Connection = Connection
@property
def name(self):
"String name of the :class:`~sqlalchemy.engine.Dialect` in use by this ``Engine``."
return self.dialect.name
@property
def driver(self):
"Driver name of the :class:`~sqlalchemy.engine.Dialect` in use by this ``Engine``."
return self.dialect.driver
echo = log.echo_property()
def __repr__(self):
return 'Engine(%s)' % str(self.url)
def dispose(self):
self.pool.dispose()
self.pool = self.pool.recreate()
def create(self, entity, connection=None, **kwargs):
"""Create a table or index within this engine's database connection given a schema.Table object."""
from sqlalchemy.engine import ddl
self._run_visitor(ddl.SchemaGenerator, entity, connection=connection, **kwargs)
def drop(self, entity, connection=None, **kwargs):
"""Drop a table or index within this engine's database connection given a schema.Table object."""
from sqlalchemy.engine import ddl
self._run_visitor(ddl.SchemaDropper, entity, connection=connection, **kwargs)
def _execute_default(self, default):
connection = self.contextual_connect()
try:
return connection._execute_default(default, (), {})
finally:
connection.close()
@property
def func(self):
return expression._FunctionGenerator(bind=self)
def text(self, text, *args, **kwargs):
"""Return a sql.text() object for performing literal queries."""
return expression.text(text, bind=self, *args, **kwargs)
def _run_visitor(self, visitorcallable, element, connection=None, **kwargs):
if connection is None:
conn = self.contextual_connect(close_with_result=False)
else:
conn = connection
try:
visitorcallable(self.dialect, conn, **kwargs).traverse(element)
finally:
if connection is None:
conn.close()
def transaction(self, callable_, *args, **kwargs):
"""Execute the given function within a transaction boundary.
This is a shortcut for explicitly calling `begin()` and `commit()`
and optionally `rollback()` when exceptions are raised. The
given `*args` and `**kwargs` will be passed to the function.
The connection used is that of contextual_connect().
See also the similar method on Connection itself.
"""
conn = self.contextual_connect()
try:
return conn.transaction(callable_, *args, **kwargs)
finally:
conn.close()
def run_callable(self, callable_, *args, **kwargs):
conn = self.contextual_connect()
try:
return conn.run_callable(callable_, *args, **kwargs)
finally:
conn.close()
def execute(self, statement, *multiparams, **params):
connection = self.contextual_connect(close_with_result=True)
return connection.execute(statement, *multiparams, **params)
def scalar(self, statement, *multiparams, **params):
return self.execute(statement, *multiparams, **params).scalar()
def _execute_clauseelement(self, elem, multiparams=None, params=None):
connection = self.contextual_connect(close_with_result=True)
return connection._execute_clauseelement(elem, multiparams, params)
def _execute_compiled(self, compiled, multiparams, params):
connection = self.contextual_connect(close_with_result=True)
return connection._execute_compiled(compiled, multiparams, params)
def connect(self, **kwargs):
"""Return a newly allocated Connection object."""
return self.Connection(self, **kwargs)
def contextual_connect(self, close_with_result=False, **kwargs):
"""Return a Connection object which may be newly allocated, or may be part of some ongoing context.
This Connection is meant to be used by the various "auto-connecting" operations.
"""
return self.Connection(self, self.pool.connect(), close_with_result=close_with_result, **kwargs)
def table_names(self, schema=None, connection=None):
"""Return a list of all table names available in the database.
:param schema: Optional, retrieve names from a non-default schema.
:param connection: Optional, use a specified connection. Default is the
``contextual_connect`` for this ``Engine``.
"""
if connection is None:
conn = self.contextual_connect()
else:
conn = connection
if not schema:
schema = self.dialect.default_schema_name
try:
return self.dialect.get_table_names(conn, schema)
finally:
if connection is None:
conn.close()
def reflecttable(self, table, connection=None, include_columns=None):
"""Given a Table object, reflects its columns and properties from the database."""
if connection is None:
conn = self.contextual_connect()
else:
conn = connection
try:
self.dialect.reflecttable(conn, table, include_columns)
finally:
if connection is None:
conn.close()
def has_table(self, table_name, schema=None):
return self.run_callable(self.dialect.has_table, table_name, schema)
def raw_connection(self):
"""Return a DB-API connection."""
return self.pool.unique_connection()
def _proxy_connection_cls(cls, proxy):
class ProxyConnection(cls):
def execute(self, object, *multiparams, **params):
return proxy.execute(self, super(ProxyConnection, self).execute,
object, *multiparams, **params)
def _execute_clauseelement(self, elem, multiparams=None, params=None):
return proxy.execute(self, super(ProxyConnection, self).execute,
elem, *(multiparams or []), **(params or {}))
def _cursor_execute(self, cursor, statement, parameters, context=None):
return proxy.cursor_execute(super(ProxyConnection, self)._cursor_execute,
cursor, statement, parameters, context, False)
def _cursor_executemany(self, cursor, statement, parameters, context=None):
return proxy.cursor_execute(super(ProxyConnection, self)._cursor_executemany,
cursor, statement, parameters, context, True)
def _begin_impl(self):
return proxy.begin(self, super(ProxyConnection, self)._begin_impl)
def _rollback_impl(self):
return proxy.rollback(self, super(ProxyConnection, self)._rollback_impl)
def _commit_impl(self):
return proxy.commit(self, super(ProxyConnection, self)._commit_impl)
def _savepoint_impl(self, name=None):
return proxy.savepoint(self, super(ProxyConnection, self)._savepoint_impl, name=name)
def _rollback_to_savepoint_impl(self, name, context):
return proxy.rollback_savepoint(self,
super(ProxyConnection, self)._rollback_to_savepoint_impl,
name, context)
def _release_savepoint_impl(self, name, context):
return proxy.release_savepoint(self,
super(ProxyConnection, self)._release_savepoint_impl,
name, context)
def _begin_twophase_impl(self, xid):
return proxy.begin_twophase(self,
super(ProxyConnection, self)._begin_twophase_impl, xid)
def _prepare_twophase_impl(self, xid):
return proxy.prepare_twophase(self,
super(ProxyConnection, self)._prepare_twophase_impl, xid)
def _rollback_twophase_impl(self, xid, is_prepared):
return proxy.rollback_twophase(self,
super(ProxyConnection, self)._rollback_twophase_impl,
xid, is_prepared)
def _commit_twophase_impl(self, xid, is_prepared):
return proxy.commit_twophase(self,
super(ProxyConnection, self)._commit_twophase_impl,
xid, is_prepared)
return ProxyConnection
# This reconstructor is necessary so that pickles with the C extension or
# without use the same Binary format.
try:
# We need a different reconstructor on the C extension so that we can
# add extra checks that fields have correctly been initialized by
# __setstate__.
from sqlalchemy.cresultproxy import safe_rowproxy_reconstructor
# The extra function embedding is needed so that the reconstructor function
# has the same signature whether or not the extension is present.
def rowproxy_reconstructor(cls, state):
return safe_rowproxy_reconstructor(cls, state)
except ImportError:
def rowproxy_reconstructor(cls, state):
obj = cls.__new__(cls)
obj.__setstate__(state)
return obj
try:
from sqlalchemy.cresultproxy import BaseRowProxy
except ImportError:
class BaseRowProxy(object):
__slots__ = ('_parent', '_row', '_processors', '_keymap')
def __init__(self, parent, row, processors, keymap):
"""RowProxy objects are constructed by ResultProxy objects."""
self._parent = parent
self._row = row
self._processors = processors
self._keymap = keymap
def __reduce__(self):
return (rowproxy_reconstructor,
(self.__class__, self.__getstate__()))
def values(self):
"""Return the values represented by this RowProxy as a list."""
return list(self)
def __iter__(self):
for processor, value in izip(self._processors, self._row):
if processor is None:
yield value
else:
yield processor(value)
def __len__(self):
return len(self._row)
def __getitem__(self, key):
try:
processor, index = self._keymap[key]
except KeyError:
processor, index = self._parent._key_fallback(key)
except TypeError:
if isinstance(key, slice):
l = []
for processor, value in izip(self._processors[key],
self._row[key]):
if processor is None:
l.append(value)
else:
l.append(processor(value))
return tuple(l)
else:
raise
if index is None:
raise exc.InvalidRequestError(
"Ambiguous column name '%s' in result set! "
"try 'use_labels' option on select statement." % key)
if processor is not None:
return processor(self._row[index])
else:
return self._row[index]
def __getattr__(self, name):
try:
# TODO: no test coverage here
return self[name]
except KeyError, e:
raise AttributeError(e.args[0])
class RowProxy(BaseRowProxy):
"""Proxy values from a single cursor row.
Mostly follows "ordered dictionary" behavior, mapping result
values to the string-based column name, the integer position of
the result in the row, as well as Column instances which can be
mapped to the original Columns that produced this result set (for
results that correspond to constructed SQL expressions).
"""
__slots__ = ()
def __contains__(self, key):
return self._parent._has_key(self._row, key)
def __getstate__(self):
return {
'_parent': self._parent,
'_row': tuple(self)
}
def __setstate__(self, state):
self._parent = parent = state['_parent']
self._row = state['_row']
self._processors = parent._processors
self._keymap = parent._keymap
__hash__ = None
def __eq__(self, other):
return other is self or other == tuple(self)
def __ne__(self, other):
return not self.__eq__(other)
def __repr__(self):
return repr(tuple(self))
def has_key(self, key):
"""Return True if this RowProxy contains the given key."""
return self._parent._has_key(self._row, key)
def items(self):
"""Return a list of tuples, each tuple containing a key/value pair."""
# TODO: no coverage here
return [(key, self[key]) for key in self.iterkeys()]
def keys(self):
"""Return the list of keys as strings represented by this RowProxy."""
return self._parent.keys
def iterkeys(self):
return iter(self._parent.keys)
def itervalues(self):
return iter(self)
class ResultMetaData(object):
"""Handle cursor.description, applying additional info from an execution context."""
def __init__(self, parent, metadata):
self._processors = processors = []
# We do not strictly need to store the processor in the key mapping,
# though it is faster in the Python version (probably because of the
# saved attribute lookup self._processors)
self._keymap = keymap = {}
self.keys = []
self._echo = parent._echo
context = parent.context
dialect = context.dialect
typemap = dialect.dbapi_type_map
for i, (colname, coltype) in enumerate(m[0:2] for m in metadata):
if dialect.description_encoding:
colname = colname.decode(dialect.description_encoding)
if '.' in colname:
# sqlite will in some circumstances prepend table name to
# colnames, so strip
origname = colname
colname = colname.split('.')[-1]
else:
origname = None
if context.result_map:
try:
name, obj, type_ = context.result_map[colname.lower()]
except KeyError:
name, obj, type_ = \
colname, None, typemap.get(coltype, types.NULLTYPE)
else:
name, obj, type_ = (colname, None, typemap.get(coltype, types.NULLTYPE))
processor = type_.dialect_impl(dialect).\
result_processor(dialect, coltype)
processors.append(processor)
rec = (processor, i)
# indexes as keys. This is only needed for the Python version of
# RowProxy (the C version uses a faster path for integer indexes).
keymap[i] = rec
# Column names as keys
if keymap.setdefault(name.lower(), rec) is not rec:
# We do not raise an exception directly because several
# columns colliding by name is not a problem as long as the
# user does not try to access them (ie use an index directly,
# or the more precise ColumnElement)
keymap[name.lower()] = (processor, None)
# store the "origname" if we truncated (sqlite only)
if origname and \
keymap.setdefault(origname.lower(), rec) is not rec:
keymap[origname.lower()] = (processor, None)
if dialect.requires_name_normalize:
colname = dialect.normalize_name(colname)
self.keys.append(colname)
if obj:
for o in obj:
keymap[o] = rec
if self._echo:
self.logger = context.engine.logger
self.logger.debug(
"Col %r", tuple(x[0] for x in metadata))
def _key_fallback(self, key):
map = self._keymap
result = None
if isinstance(key, basestring):
result = map.get(key.lower())
# fallback for targeting a ColumnElement to a textual expression
# this is a rare use case which only occurs when matching text()
# constructs to ColumnElements, and after a pickle/unpickle roundtrip
elif isinstance(key, expression.ColumnElement):
if key._label and key._label.lower() in map:
result = map[key._label.lower()]
elif hasattr(key, 'name') and key.name.lower() in map:
result = map[key.name.lower()]
if result is None:
raise exc.NoSuchColumnError(
"Could not locate column in row for column '%s'" % key)
else:
map[key] = result
return result
def _has_key(self, row, key):
if key in self._keymap:
return True
else:
try:
self._key_fallback(key)
return True
except exc.NoSuchColumnError:
return False
def __len__(self):
return len(self.keys)
def __getstate__(self):
return {
'_pickled_keymap': dict(
(key, index)
for key, (processor, index) in self._keymap.iteritems()
if isinstance(key, (basestring, int))
),
'keys': self.keys
}
def __setstate__(self, state):
# the row has been processed at pickling time so we don't need any
# processor anymore
self._processors = [None for _ in xrange(len(state['keys']))]
self._keymap = keymap = {}
for key, index in state['_pickled_keymap'].iteritems():
keymap[key] = (None, index)
self.keys = state['keys']
self._echo = False
class ResultProxy(object):
"""Wraps a DB-API cursor object to provide easier access to row columns.
Individual columns may be accessed by their integer position,
case-insensitive column name, or by ``schema.Column``
object. e.g.::
row = fetchone()
col1 = row[0] # access via integer position
col2 = row['col2'] # access via name
col3 = row[mytable.c.mycol] # access via Column object.
``ResultProxy`` also handles post-processing of result column
data using ``TypeEngine`` objects, which are referenced from
the originating SQL statement that produced this result set.
"""
_process_row = RowProxy
out_parameters = None
_can_close_connection = False
def __init__(self, context):
self.context = context
self.dialect = context.dialect
self.closed = False
self.cursor = context.cursor
self.connection = context.root_connection
self._echo = self.connection._echo and \
context.engine._should_log_debug()
self._init_metadata()
def _init_metadata(self):
metadata = self._cursor_description()
if metadata is None:
self._metadata = None
else:
self._metadata = ResultMetaData(self, metadata)
def keys(self):
"""Return the current set of string keys for rows."""
if self._metadata:
return self._metadata.keys
else:
return []
@util.memoized_property
def rowcount(self):
"""Return the 'rowcount' for this result.
The 'rowcount' reports the number of rows affected
by an UPDATE or DELETE statement. It has *no* other
uses and is not intended to provide the number of rows
present from a SELECT.
Note that this row count may not be properly implemented
in some dialects; this is indicated by
:meth:`~sqlalchemy.engine.base.ResultProxy.supports_sane_rowcount()` and
:meth:`~sqlalchemy.engine.base.ResultProxy.supports_sane_multi_rowcount()`.
``rowcount()`` also may not work at this time for a statement
that uses ``returning()``.
"""
return self.context.rowcount
@property
def lastrowid(self):
"""return the 'lastrowid' accessor on the DBAPI cursor.
This is a DBAPI specific method and is only functional
for those backends which support it, for statements
where it is appropriate. It's behavior is not
consistent across backends.
Usage of this method is normally unnecessary; the
inserted_primary_key method provides a
tuple of primary key values for a newly inserted row,
regardless of database backend.
"""
return self.cursor.lastrowid
def _cursor_description(self):
"""May be overridden by subclasses."""
return self.cursor.description
def _autoclose(self):
"""called by the Connection to autoclose cursors that have no pending results
beyond those used by an INSERT/UPDATE/DELETE with no explicit RETURNING clause.
"""
if self.context.isinsert:
if self.context._is_implicit_returning:
self.context._fetch_implicit_returning(self)
self.close(_autoclose_connection=False)
elif not self.context._is_explicit_returning:
self.close(_autoclose_connection=False)
elif self._metadata is None:
# no results, get rowcount
# (which requires open cursor on some drivers
# such as kintersbasdb, mxodbc),
self.rowcount
self.close(_autoclose_connection=False)
return self
def close(self, _autoclose_connection=True):
"""Close this ResultProxy.
Closes the underlying DBAPI cursor corresponding to the execution.
Note that any data cached within this ResultProxy is still available.
For some types of results, this may include buffered rows.
If this ResultProxy was generated from an implicit execution,
the underlying Connection will also be closed (returns the
underlying DBAPI connection to the connection pool.)
This method is called automatically when:
* all result rows are exhausted using the fetchXXX() methods.
* cursor.description is None.
"""
if not self.closed:
self.closed = True
self.cursor.close()
if _autoclose_connection and \
self.connection.should_close_with_result:
self.connection.close()
def __iter__(self):
while True:
row = self.fetchone()
if row is None:
raise StopIteration
else:
yield row
@util.memoized_property
def inserted_primary_key(self):
"""Return the primary key for the row just inserted.
This only applies to single row insert() constructs which
did not explicitly specify returning().
"""
if not self.context.isinsert:
raise exc.InvalidRequestError("Statement is not an insert() expression construct.")
elif self.context._is_explicit_returning:
raise exc.InvalidRequestError("Can't call inserted_primary_key when returning() is used.")
return self.context._inserted_primary_key
@util.deprecated("Use inserted_primary_key")
def last_inserted_ids(self):
"""deprecated. use inserted_primary_key."""
return self.inserted_primary_key
def last_updated_params(self):
"""Return ``last_updated_params()`` from the underlying ExecutionContext.
See ExecutionContext for details.
"""
return self.context.last_updated_params()
def last_inserted_params(self):
"""Return ``last_inserted_params()`` from the underlying ExecutionContext.
See ExecutionContext for details.
"""
return self.context.last_inserted_params()
def lastrow_has_defaults(self):
"""Return ``lastrow_has_defaults()`` from the underlying ExecutionContext.
See ExecutionContext for details.
"""
return self.context.lastrow_has_defaults()
def postfetch_cols(self):
"""Return ``postfetch_cols()`` from the underlying ExecutionContext.
See ExecutionContext for details.
"""
return self.context.postfetch_cols
def prefetch_cols(self):
return self.context.prefetch_cols
def supports_sane_rowcount(self):
"""Return ``supports_sane_rowcount`` from the dialect."""
return self.dialect.supports_sane_rowcount
def supports_sane_multi_rowcount(self):
"""Return ``supports_sane_multi_rowcount`` from the dialect."""
return self.dialect.supports_sane_multi_rowcount
def _fetchone_impl(self):
return self.cursor.fetchone()
def _fetchmany_impl(self, size=None):
return self.cursor.fetchmany(size)
def _fetchall_impl(self):
return self.cursor.fetchall()
def process_rows(self, rows):
process_row = self._process_row
metadata = self._metadata
keymap = metadata._keymap
processors = metadata._processors
if self._echo:
log = self.context.engine.logger.debug
l = []
for row in rows:
log("Row %r", row)
l.append(process_row(metadata, row, processors, keymap))
return l
else:
return [process_row(metadata, row, processors, keymap)
for row in rows]
def fetchall(self):
"""Fetch all rows, just like DB-API ``cursor.fetchall()``."""
try:
l = self.process_rows(self._fetchall_impl())
self.close()
return l
except Exception, e:
self.connection._handle_dbapi_exception(e, None, None, self.cursor, self.context)
raise
def fetchmany(self, size=None):
"""Fetch many rows, just like DB-API ``cursor.fetchmany(size=cursor.arraysize)``.
If rows are present, the cursor remains open after this is called.
Else the cursor is automatically closed and an empty list is returned.
"""
try:
l = self.process_rows(self._fetchmany_impl(size))
if len(l) == 0:
self.close()
return l
except Exception, e:
self.connection._handle_dbapi_exception(e, None, None, self.cursor, self.context)
raise
def fetchone(self):
"""Fetch one row, just like DB-API ``cursor.fetchone()``.
If a row is present, the cursor remains open after this is called.
Else the cursor is automatically closed and None is returned.
"""
try:
row = self._fetchone_impl()
if row is not None:
return self.process_rows([row])[0]
else:
self.close()
return None
except Exception, e:
self.connection._handle_dbapi_exception(e, None, None, self.cursor, self.context)
raise
def first(self):
"""Fetch the first row and then close the result set unconditionally.
Returns None if no row is present.
"""
try:
row = self._fetchone_impl()
except Exception, e:
self.connection._handle_dbapi_exception(e, None, None, self.cursor, self.context)
raise
try:
if row is not None:
return self.process_rows([row])[0]
else:
return None
finally:
self.close()
def scalar(self):
"""Fetch the first column of the first row, and close the result set.
Returns None if no row is present.
"""
row = self.first()
if row is not None:
return row[0]
else:
return None
class BufferedRowResultProxy(ResultProxy):
"""A ResultProxy with row buffering behavior.
``ResultProxy`` that buffers the contents of a selection of rows
before ``fetchone()`` is called. This is to allow the results of
``cursor.description`` to be available immediately, when
interfacing with a DB-API that requires rows to be consumed before
this information is available (currently psycopg2, when used with
server-side cursors).
The pre-fetching behavior fetches only one row initially, and then
grows its buffer size by a fixed amount with each successive need
for additional rows up to a size of 100.
"""
def _init_metadata(self):
self.__buffer_rows()
super(BufferedRowResultProxy, self)._init_metadata()
# this is a "growth chart" for the buffering of rows.
# each successive __buffer_rows call will use the next
# value in the list for the buffer size until the max
# is reached
size_growth = {
1 : 5,
5 : 10,
10 : 20,
20 : 50,
50 : 100
}
def __buffer_rows(self):
size = getattr(self, '_bufsize', 1)
self.__rowbuffer = self.cursor.fetchmany(size)
self._bufsize = self.size_growth.get(size, size)
def _fetchone_impl(self):
if self.closed:
return None
if len(self.__rowbuffer) == 0:
self.__buffer_rows()
if len(self.__rowbuffer) == 0:
return None
return self.__rowbuffer.pop(0)
def _fetchmany_impl(self, size=None):
result = []
for x in range(0, size):
row = self._fetchone_impl()
if row is None:
break
result.append(row)
return result
def _fetchall_impl(self):
ret = self.__rowbuffer + list(self.cursor.fetchall())
self.__rowbuffer[:] = []
return ret
class FullyBufferedResultProxy(ResultProxy):
"""A result proxy that buffers rows fully upon creation.
Used for operations where a result is to be delivered
after the database conversation can not be continued,
such as MSSQL INSERT...OUTPUT after an autocommit.
"""
def _init_metadata(self):
super(FullyBufferedResultProxy, self)._init_metadata()
self.__rowbuffer = self._buffer_rows()
def _buffer_rows(self):
return self.cursor.fetchall()
def _fetchone_impl(self):
if self.__rowbuffer:
return self.__rowbuffer.pop(0)
else:
return None
def _fetchmany_impl(self, size=None):
result = []
for x in range(0, size):
row = self._fetchone_impl()
if row is None:
break
result.append(row)
return result
def _fetchall_impl(self):
ret = self.__rowbuffer
self.__rowbuffer = []
return ret
class BufferedColumnRow(RowProxy):
def __init__(self, parent, row, processors, keymap):
# preprocess row
row = list(row)
# this is a tad faster than using enumerate
index = 0
for processor in parent._orig_processors:
if processor is not None:
row[index] = processor(row[index])
index += 1
row = tuple(row)
super(BufferedColumnRow, self).__init__(parent, row,
processors, keymap)
class BufferedColumnResultProxy(ResultProxy):
"""A ResultProxy with column buffering behavior.
``ResultProxy`` that loads all columns into memory each time
fetchone() is called. If fetchmany() or fetchall() are called,
the full grid of results is fetched. This is to operate with
databases where result rows contain "live" results that fall out
of scope unless explicitly fetched. Currently this includes
cx_Oracle LOB objects.
"""
_process_row = BufferedColumnRow
def _init_metadata(self):
super(BufferedColumnResultProxy, self)._init_metadata()
metadata = self._metadata
# orig_processors will be used to preprocess each row when they are
# constructed.
metadata._orig_processors = metadata._processors
# replace the all type processors by None processors.
metadata._processors = [None for _ in xrange(len(metadata.keys))]
keymap = {}
for k, (func, index) in metadata._keymap.iteritems():
keymap[k] = (None, index)
self._metadata._keymap = keymap
def fetchall(self):
# can't call cursor.fetchall(), since rows must be
# fully processed before requesting more from the DBAPI.
l = []
while True:
row = self.fetchone()
if row is None:
break
l.append(row)
return l
def fetchmany(self, size=None):
# can't call cursor.fetchmany(), since rows must be
# fully processed before requesting more from the DBAPI.
if size is None:
return self.fetchall()
l = []
for i in xrange(size):
row = self.fetchone()
if row is None:
break
l.append(row)
return l
def connection_memoize(key):
"""Decorator, memoize a function in a connection.info stash.
Only applicable to functions which take no arguments other than a
connection. The memo will be stored in ``connection.info[key]``.
"""
@util.decorator
def decorated(fn, self, connection):
connection = connection.connect()
try:
return connection.info[key]
except KeyError:
connection.info[key] = val = fn(self, connection)
return val
return decorated