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.. dialect:: oracle
:name: Oracle
Oracle version 8 through current (11g at the time of this writing) are
supported.
Connect Arguments
-----------------
The dialect supports several :func:`~sqlalchemy.create_engine()` arguments
which affect the behavior of the dialect regardless of driver in use.
* ``use_ansi`` - Use ANSI JOIN constructs (see the section on Oracle 8).
Defaults to ``True``. If ``False``, Oracle-8 compatible constructs are used
for joins.
* ``optimize_limits`` - defaults to ``False``. see the section on
LIMIT/OFFSET.
* ``use_binds_for_limits`` - defaults to ``True``. see the section on
LIMIT/OFFSET.
Auto Increment Behavior
-----------------------
SQLAlchemy Table objects which include integer primary keys are usually
assumed to have "autoincrementing" behavior, meaning they can generate their
own primary key values upon INSERT. Since Oracle has no "autoincrement"
feature, SQLAlchemy relies upon sequences to produce these values. With the
Oracle dialect, *a sequence must always be explicitly specified to enable
autoincrement*. This is divergent with the majority of documentation
examples which assume the usage of an autoincrement-capable database. To
specify sequences, use the sqlalchemy.schema.Sequence object which is passed
to a Column construct::
t = Table('mytable', metadata,
Column('id', Integer, Sequence('id_seq'), primary_key=True),
Column(...), ...
)
This step is also required when using table reflection, i.e. autoload=True::
t = Table('mytable', metadata,
Column('id', Integer, Sequence('id_seq'), primary_key=True),
autoload=True
)
Identifier Casing
-----------------
In Oracle, the data dictionary represents all case insensitive identifier
names using UPPERCASE text. SQLAlchemy on the other hand considers an
all-lower case identifier name to be case insensitive. The Oracle dialect
converts all case insensitive identifiers to and from those two formats during
schema level communication, such as reflection of tables and indexes. Using
an UPPERCASE name on the SQLAlchemy side indicates a case sensitive
identifier, and SQLAlchemy will quote the name - this will cause mismatches
against data dictionary data received from Oracle, so unless identifier names
have been truly created as case sensitive (i.e. using quoted names), all
lowercase names should be used on the SQLAlchemy side.
LIMIT/OFFSET Support
--------------------
Oracle has no support for the LIMIT or OFFSET keywords. SQLAlchemy uses
a wrapped subquery approach in conjunction with ROWNUM. The exact methodology
is taken from
http://www.oracle.com/technetwork/issue-archive/2006/06-sep/o56asktom-086197.html .
There are two options which affect its behavior:
* the "FIRST ROWS()" optimization keyword is not used by default. To enable
the usage of this optimization directive, specify ``optimize_limits=True``
to :func:`.create_engine`.
* the values passed for the limit/offset are sent as bound parameters. Some
users have observed that Oracle produces a poor query plan when the values
are sent as binds and not rendered literally. To render the limit/offset
values literally within the SQL statement, specify
``use_binds_for_limits=False`` to :func:`.create_engine`.
Some users have reported better performance when the entirely different
approach of a window query is used, i.e. ROW_NUMBER() OVER (ORDER BY), to
provide LIMIT/OFFSET (note that the majority of users don't observe this).
To suit this case the method used for LIMIT/OFFSET can be replaced entirely.
See the recipe at
http://www.sqlalchemy.org/trac/wiki/UsageRecipes/WindowFunctionsByDefault
which installs a select compiler that overrides the generation of limit/offset
with a window function.
.. _oracle_returning:
RETURNING Support
-----------------
The Oracle database supports a limited form of RETURNING, in order to retrieve
result sets of matched rows from INSERT, UPDATE and DELETE statements.
Oracle's RETURNING..INTO syntax only supports one row being returned, as it
relies upon OUT parameters in order to function. In addition, supported
DBAPIs have further limitations (see :ref:`cx_oracle_returning`).
SQLAlchemy's "implicit returning" feature, which employs RETURNING within an
INSERT and sometimes an UPDATE statement in order to fetch newly generated
primary key values and other SQL defaults and expressions, is normally enabled
on the Oracle backend. By default, "implicit returning" typically only
fetches the value of a single ``nextval(some_seq)`` expression embedded into
an INSERT in order to increment a sequence within an INSERT statement and get
the value back at the same time. To disable this feature across the board,
specify ``implicit_returning=False`` to :func:`.create_engine`::
engine = create_engine("oracle://scott:tiger@dsn",
implicit_returning=False)
Implicit returning can also be disabled on a table-by-table basis as a table
option::
# Core Table
my_table = Table("my_table", metadata, ..., implicit_returning=False)
# declarative
class MyClass(Base):
__tablename__ = 'my_table'
__table_args__ = {"implicit_returning": False}
.. seealso::
:ref:`cx_oracle_returning` - additional cx_oracle-specific restrictions on
implicit returning.
ON UPDATE CASCADE
-----------------
Oracle doesn't have native ON UPDATE CASCADE functionality. A trigger based
solution is available at
http://asktom.oracle.com/tkyte/update_cascade/index.html .
When using the SQLAlchemy ORM, the ORM has limited ability to manually issue
cascading updates - specify ForeignKey objects using the
"deferrable=True, initially='deferred'" keyword arguments,
and specify "passive_updates=False" on each relationship().
Oracle 8 Compatibility
----------------------
When Oracle 8 is detected, the dialect internally configures itself to the
following behaviors:
* the use_ansi flag is set to False. This has the effect of converting all
JOIN phrases into the WHERE clause, and in the case of LEFT OUTER JOIN
makes use of Oracle's (+) operator.
* the NVARCHAR2 and NCLOB datatypes are no longer generated as DDL when
the :class:`~sqlalchemy.types.Unicode` is used - VARCHAR2 and CLOB are
issued instead. This because these types don't seem to work correctly on
Oracle 8 even though they are available. The
:class:`~sqlalchemy.types.NVARCHAR` and
:class:`~sqlalchemy.dialects.oracle.NCLOB` types will always generate
NVARCHAR2 and NCLOB.
* the "native unicode" mode is disabled when using cx_oracle, i.e. SQLAlchemy
encodes all Python unicode objects to "string" before passing in as bind
parameters.
Synonym/DBLINK Reflection
-------------------------
When using reflection with Table objects, the dialect can optionally search
for tables indicated by synonyms, either in local or remote schemas or
accessed over DBLINK, by passing the flag ``oracle_resolve_synonyms=True`` as
a keyword argument to the :class:`.Table` construct::
some_table = Table('some_table', autoload=True,
autoload_with=some_engine,
oracle_resolve_synonyms=True)
When this flag is set, the given name (such as ``some_table`` above) will
be searched not just in the ``ALL_TABLES`` view, but also within the
``ALL_SYNONYMS`` view to see if this name is actually a synonym to another
name. If the synonym is located and refers to a DBLINK, the oracle dialect
knows how to locate the table's information using DBLINK syntax(e.g.
``@dblink``).
``oracle_resolve_synonyms`` is accepted wherever reflection arguments are
accepted, including methods such as :meth:`.MetaData.reflect` and
:meth:`.Inspector.get_columns`.
If synonyms are not in use, this flag should be left disabled.
.. _oracle_constraint_reflection:
Constraint Reflection
---------------------
The Oracle dialect can return information about foreign key, unique, and
CHECK constraints, as well as indexes on tables.
Raw information regarding these constraints can be acquired using
:meth:`.Inspector.get_foreign_keys`, :meth:`.Inspector.get_unique_constraints`,
:meth:`.Inspector.get_check_constraints`, and :meth:`.Inspector.get_indexes`.
.. versionchanged:: 1.2 The Oracle dialect can now reflect UNIQUE and
CHECK constraints.
When using reflection at the :class:`.Table` level, the :class:`.Table`
will also include these constraints.
Note the following caveats:
* When using the :meth:`.Inspector.get_check_constraints` method, Oracle
builds a special "IS NOT NULL" constraint for columns that specify
"NOT NULL". This constraint is **not** returned by default; to include
the "IS NOT NULL" constraints, pass the flag ``include_all=True``::
from sqlalchemy import create_engine, inspect
engine = create_engine("oracle+cx_oracle://s:t@dsn")
inspector = inspect(engine)
all_check_constraints = inspector.get_check_constraints(
"some_table", include_all=True)
* in most cases, when reflecting a :class:`.Table`, a UNIQUE constraint will
**not** be available as a :class:`.UniqueConstraint` object, as Oracle
mirrors unique constraints with a UNIQUE index in most cases (the exception
seems to be when two or more unique constraints represent the same columns);
the :class:`.Table` will instead represent these using :class:`.Index`
with the ``unique=True`` flag set.
* Oracle creates an implicit index for the primary key of a table; this index
is **excluded** from all index results.
* the list of columns reflected for an index will not include column names
that start with SYS_NC.
Table names with SYSTEM/SYSAUX tablespaces
-------------------------------------------
The :meth:`.Inspector.get_table_names` and
:meth:`.Inspector.get_temp_table_names`
methods each return a list of table names for the current engine. These methods
are also part of the reflection which occurs within an operation such as
:meth:`.MetaData.reflect`. By default, these operations exclude the ``SYSTEM``
and ``SYSAUX`` tablespaces from the operation. In order to change this, the
default list of tablespaces excluded can be changed at the engine level using
the ``exclude_tablespaces`` parameter::
# exclude SYSAUX and SOME_TABLESPACE, but not SYSTEM
e = create_engine(
"oracle://scott:tiger@xe",
exclude_tablespaces=["SYSAUX", "SOME_TABLESPACE"])
.. versionadded:: 1.1
DateTime Compatibility
----------------------
Oracle has no datatype known as ``DATETIME``, it instead has only ``DATE``,
which can actually store a date and time value. For this reason, the Oracle
dialect provides a type :class:`.oracle.DATE` which is a subclass of
:class:`.DateTime`. This type has no special behavior, and is only
present as a "marker" for this type; additionally, when a database column
is reflected and the type is reported as ``DATE``, the time-supporting
:class:`.oracle.DATE` type is used.
.. versionchanged:: 0.9.4 Added :class:`.oracle.DATE` to subclass
:class:`.DateTime`. This is a change as previous versions
would reflect a ``DATE`` column as :class:`.types.DATE`, which subclasses
:class:`.Date`. The only significance here is for schemes that are
examining the type of column for use in special Python translations or
for migrating schemas to other database backends.
.. _oracle_table_options:
Oracle Table Options
-------------------------
The CREATE TABLE phrase supports the following options with Oracle
in conjunction with the :class:`.Table` construct:
* ``ON COMMIT``::
Table(
"some_table", metadata, ...,
prefixes=['GLOBAL TEMPORARY'], oracle_on_commit='PRESERVE ROWS')
.. versionadded:: 1.0.0
* ``COMPRESS``::
Table('mytable', metadata, Column('data', String(32)),
oracle_compress=True)
Table('mytable', metadata, Column('data', String(32)),
oracle_compress=6)
The ``oracle_compress`` parameter accepts either an integer compression
level, or ``True`` to use the default compression level.
.. versionadded:: 1.0.0
.. _oracle_index_options:
Oracle Specific Index Options
-----------------------------
Bitmap Indexes
~~~~~~~~~~~~~~
You can specify the ``oracle_bitmap`` parameter to create a bitmap index
instead of a B-tree index::
Index('my_index', my_table.c.data, oracle_bitmap=True)
Bitmap indexes cannot be unique and cannot be compressed. SQLAlchemy will not
check for such limitations, only the database will.
.. versionadded:: 1.0.0
Index compression
~~~~~~~~~~~~~~~~~
Oracle has a more efficient storage mode for indexes containing lots of
repeated values. Use the ``oracle_compress`` parameter to turn on key
compression::
Index('my_index', my_table.c.data, oracle_compress=True)
Index('my_index', my_table.c.data1, my_table.c.data2, unique=True,
oracle_compress=1)
The ``oracle_compress`` parameter accepts either an integer specifying the
number of prefix columns to compress, or ``True`` to use the default (all
columns for non-unique indexes, all but the last column for unique indexes).
.. versionadded:: 1.0.0
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