OpenHome/venv/Lib/site-packages/sqlalchemy/dialects/oracle/base.py
2021-07-21 21:33:05 +02:00

2505 lines
84 KiB
Python

# oracle/base.py
# Copyright (C) 2005-2021 the SQLAlchemy authors and contributors
# <see AUTHORS file>
#
# This module is part of SQLAlchemy and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
r"""
.. dialect:: oracle
:name: Oracle
:full_support: 11.2, 18c
:normal_support: 11+
:best_effort: 8+
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. For use within Oracle, two options are
available, which are the use of IDENTITY columns (Oracle 12 and above only)
or the association of a SEQUENCE with the column.
Specifying GENERATED AS IDENTITY (Oracle 12 and above)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Starting from version 12 Oracle can make use of identity columns using
the :class:`_sql.Identity` to specify the autoincrementing behavior::
t = Table('mytable', metadata,
Column('id', Integer, Identity(start=3), primary_key=True),
Column(...), ...
)
The CREATE TABLE for the above :class:`_schema.Table` object would be:
.. sourcecode:: sql
CREATE TABLE mytable (
id INTEGER GENERATED BY DEFAULT AS IDENTITY (START WITH 3),
...,
PRIMARY KEY (id)
)
The :class:`_schema.Identity` object support many options to control the
"autoincrementing" behavior of the column, like the starting value, the
incrementing value, etc.
In addition to the standard options, Oracle supports setting
:paramref:`_schema.Identity.always` to ``None`` to use the default
generated mode, rendering GENERATED AS IDENTITY in the DDL. It also supports
setting :paramref:`_schema.Identity.on_null` to ``True`` to specify ON NULL
in conjunction with a 'BY DEFAULT' identity column.
Using a SEQUENCE (all Oracle versions)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Older version of Oracle had no "autoincrement"
feature, SQLAlchemy relies upon sequences to produce these values. With the
older Oracle versions, *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_with=engine::
t = Table('mytable', metadata,
Column('id', Integer, Sequence('id_seq'), primary_key=True),
autoload_with=engine
)
.. versionchanged:: 1.4 Added :class:`_schema.Identity` construct
in a :class:`_schema.Column` to specify the option of an autoincrementing
column.
.. _oracle_isolation_level:
Transaction Isolation Level / Autocommit
----------------------------------------
The Oracle database supports "READ COMMITTED" and "SERIALIZABLE" modes of
isolation. The AUTOCOMMIT isolation level is also supported by the cx_Oracle
dialect.
To set using per-connection execution options::
connection = engine.connect()
connection = connection.execution_options(
isolation_level="AUTOCOMMIT"
)
For ``READ COMMITTED`` and ``SERIALIZABLE``, the Oracle dialect sets the
level at the session level using ``ALTER SESSION``, which is reverted back
to its default setting when the connection is returned to the connection
pool.
Valid values for ``isolation_level`` include:
* ``READ COMMITTED``
* ``AUTOCOMMIT``
* ``SERIALIZABLE``
.. note:: The implementation for the
:meth:`_engine.Connection.get_isolation_level` method as implemented by the
Oracle dialect necessarily forces the start of a transaction using the
Oracle LOCAL_TRANSACTION_ID function; otherwise no level is normally
readable.
Additionally, the :meth:`_engine.Connection.get_isolation_level` method will
raise an exception if the ``v$transaction`` view is not available due to
permissions or other reasons, which is a common occurrence in Oracle
installations.
The cx_Oracle dialect attempts to call the
:meth:`_engine.Connection.get_isolation_level` method when the dialect makes
its first connection to the database in order to acquire the
"default"isolation level. This default level is necessary so that the level
can be reset on a connection after it has been temporarily modified using
:meth:`_engine.Connection.execution_options` method. In the common event
that the :meth:`_engine.Connection.get_isolation_level` method raises an
exception due to ``v$transaction`` not being readable as well as any other
database-related failure, the level is assumed to be "READ COMMITTED". No
warning is emitted for this initial first-connect condition as it is
expected to be a common restriction on Oracle databases.
.. versionadded:: 1.3.16 added support for AUTOCOMMIT to the cx_oracle dialect
as well as the notion of a default isolation level
.. versionadded:: 1.3.21 Added support for SERIALIZABLE as well as live
reading of the isolation level.
.. versionchanged:: 1.3.22 In the event that the default isolation
level cannot be read due to permissions on the v$transaction view as
is common in Oracle installations, the default isolation level is hardcoded
to "READ COMMITTED" which was the behavior prior to 1.3.21.
.. seealso::
:ref:`dbapi_autocommit`
Identifier Casing
-----------------
In Oracle, the data dictionary represents all case insensitive identifier
names using UPPERCASE text. SQLAlchemy on the other hand considers an
all-lower case identifier name to be case insensitive. The Oracle dialect
converts all case insensitive identifiers to and from those two formats during
schema level communication, such as reflection of tables and indexes. Using
an UPPERCASE name on the SQLAlchemy side indicates a case sensitive
identifier, and SQLAlchemy will quote the name - this will cause mismatches
against data dictionary data received from Oracle, so unless identifier names
have been truly created as case sensitive (i.e. using quoted names), all
lowercase names should be used on the SQLAlchemy side.
.. _oracle_max_identifier_lengths:
Max Identifier Lengths
----------------------
Oracle has changed the default max identifier length as of Oracle Server
version 12.2. Prior to this version, the length was 30, and for 12.2 and
greater it is now 128. This change impacts SQLAlchemy in the area of
generated SQL label names as well as the generation of constraint names,
particularly in the case where the constraint naming convention feature
described at :ref:`constraint_naming_conventions` is being used.
To assist with this change and others, Oracle includes the concept of a
"compatibility" version, which is a version number that is independent of the
actual server version in order to assist with migration of Oracle databases,
and may be configured within the Oracle server itself. This compatibility
version is retrieved using the query ``SELECT value FROM v$parameter WHERE
name = 'compatible';``. The SQLAlchemy Oracle dialect, when tasked with
determining the default max identifier length, will attempt to use this query
upon first connect in order to determine the effective compatibility version of
the server, which determines what the maximum allowed identifier length is for
the server. If the table is not available, the server version information is
used instead.
As of SQLAlchemy 1.4, the default max identifier length for the Oracle dialect
is 128 characters. Upon first connect, the compatibility version is detected
and if it is less than Oracle version 12.2, the max identifier length is
changed to be 30 characters. In all cases, setting the
:paramref:`_sa.create_engine.max_identifier_length` parameter will bypass this
change and the value given will be used as is::
engine = create_engine(
"oracle+cx_oracle://scott:tiger@oracle122",
max_identifier_length=30)
The maximum identifier length comes into play both when generating anonymized
SQL labels in SELECT statements, but more crucially when generating constraint
names from a naming convention. It is this area that has created the need for
SQLAlchemy to change this default conservatively. For example, the following
naming convention produces two very different constraint names based on the
identifier length::
from sqlalchemy import Column
from sqlalchemy import Index
from sqlalchemy import Integer
from sqlalchemy import MetaData
from sqlalchemy import Table
from sqlalchemy.dialects import oracle
from sqlalchemy.schema import CreateIndex
m = MetaData(naming_convention={"ix": "ix_%(column_0N_name)s"})
t = Table(
"t",
m,
Column("some_column_name_1", Integer),
Column("some_column_name_2", Integer),
Column("some_column_name_3", Integer),
)
ix = Index(
None,
t.c.some_column_name_1,
t.c.some_column_name_2,
t.c.some_column_name_3,
)
oracle_dialect = oracle.dialect(max_identifier_length=30)
print(CreateIndex(ix).compile(dialect=oracle_dialect))
With an identifier length of 30, the above CREATE INDEX looks like::
CREATE INDEX ix_some_column_name_1s_70cd ON t
(some_column_name_1, some_column_name_2, some_column_name_3)
However with length=128, it becomes::
CREATE INDEX ix_some_column_name_1some_column_name_2some_column_name_3 ON t
(some_column_name_1, some_column_name_2, some_column_name_3)
Applications which have run versions of SQLAlchemy prior to 1.4 on an Oracle
server version 12.2 or greater are therefore subject to the scenario of a
database migration that wishes to "DROP CONSTRAINT" on a name that was
previously generated with the shorter length. This migration will fail when
the identifier length is changed without the name of the index or constraint
first being adjusted. Such applications are strongly advised to make use of
:paramref:`_sa.create_engine.max_identifier_length`
in order to maintain control
of the generation of truncated names, and to fully review and test all database
migrations in a staging environment when changing this value to ensure that the
impact of this change has been mitigated.
.. versionchanged:: 1.4 the default max_identifier_length for Oracle is 128
characters, which is adjusted down to 30 upon first connect if an older
version of Oracle server (compatibility version < 12.2) is detected.
LIMIT/OFFSET Support
--------------------
Oracle has no direct support for LIMIT and OFFSET until version 12c.
To achieve this behavior across all widely used versions of Oracle starting
with the 8 series, SQLAlchemy currently makes use of ROWNUM to achieve
LIMIT/OFFSET; the exact methodology is taken from
https://blogs.oracle.com/oraclemagazine/on-rownum-and-limiting-results .
There is currently a single option to 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:`_sa.create_engine`.
.. versionchanged:: 1.4
The Oracle dialect renders limit/offset integer values using a "post
compile" scheme which renders the integer directly before passing the
statement to the cursor for execution. The ``use_binds_for_limits`` flag
no longer has an effect.
.. seealso::
:ref:`change_4808`.
Support for changing the row number strategy, which would include one that
makes use of the ``row_number()`` window function as well as one that makes
use of the Oracle 12c "FETCH FIRST N ROW / OFFSET N ROWS" keywords may be
added in a future release.
.. _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:`_sa.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:`_schema.Table` construct::
some_table = Table('some_table', 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:`_schema.MetaData.reflect` and
:meth:`_reflection.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:`_reflection.Inspector.get_foreign_keys`,
:meth:`_reflection.Inspector.get_unique_constraints`,
:meth:`_reflection.Inspector.get_check_constraints`, and
:meth:`_reflection.Inspector.get_indexes`.
.. versionchanged:: 1.2 The Oracle dialect can now reflect UNIQUE and
CHECK constraints.
When using reflection at the :class:`_schema.Table` level, the
:class:`_schema.Table`
will also include these constraints.
Note the following caveats:
* When using the :meth:`_reflection.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:`_schema.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:`_schema.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:`_reflection.Inspector.get_table_names` and
:meth:`_reflection.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:`_schema.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:`_schema.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
""" # noqa
from itertools import groupby
import re
from ... import Computed
from ... import exc
from ... import schema as sa_schema
from ... import sql
from ... import util
from ...engine import default
from ...engine import reflection
from ...sql import compiler
from ...sql import expression
from ...sql import sqltypes
from ...sql import util as sql_util
from ...sql import visitors
from ...types import BLOB
from ...types import CHAR
from ...types import CLOB
from ...types import FLOAT
from ...types import INTEGER
from ...types import NCHAR
from ...types import NVARCHAR
from ...types import TIMESTAMP
from ...types import VARCHAR
from ...util import compat
RESERVED_WORDS = set(
"SHARE RAW DROP BETWEEN FROM DESC OPTION PRIOR LONG THEN "
"DEFAULT ALTER IS INTO MINUS INTEGER NUMBER GRANT IDENTIFIED "
"ALL TO ORDER ON FLOAT DATE HAVING CLUSTER NOWAIT RESOURCE "
"ANY TABLE INDEX FOR UPDATE WHERE CHECK SMALLINT WITH DELETE "
"BY ASC REVOKE LIKE SIZE RENAME NOCOMPRESS NULL GROUP VALUES "
"AS IN VIEW EXCLUSIVE COMPRESS SYNONYM SELECT INSERT EXISTS "
"NOT TRIGGER ELSE CREATE INTERSECT PCTFREE DISTINCT USER "
"CONNECT SET MODE OF UNIQUE VARCHAR2 VARCHAR LOCK OR CHAR "
"DECIMAL UNION PUBLIC AND START UID COMMENT CURRENT LEVEL".split()
)
NO_ARG_FNS = set(
"UID CURRENT_DATE SYSDATE USER " "CURRENT_TIME CURRENT_TIMESTAMP".split()
)
class RAW(sqltypes._Binary):
__visit_name__ = "RAW"
OracleRaw = RAW
class NCLOB(sqltypes.Text):
__visit_name__ = "NCLOB"
class VARCHAR2(VARCHAR):
__visit_name__ = "VARCHAR2"
NVARCHAR2 = NVARCHAR
class NUMBER(sqltypes.Numeric, sqltypes.Integer):
__visit_name__ = "NUMBER"
def __init__(self, precision=None, scale=None, asdecimal=None):
if asdecimal is None:
asdecimal = bool(scale and scale > 0)
super(NUMBER, self).__init__(
precision=precision, scale=scale, asdecimal=asdecimal
)
def adapt(self, impltype):
ret = super(NUMBER, self).adapt(impltype)
# leave a hint for the DBAPI handler
ret._is_oracle_number = True
return ret
@property
def _type_affinity(self):
if bool(self.scale and self.scale > 0):
return sqltypes.Numeric
else:
return sqltypes.Integer
class DOUBLE_PRECISION(sqltypes.Float):
__visit_name__ = "DOUBLE_PRECISION"
class BINARY_DOUBLE(sqltypes.Float):
__visit_name__ = "BINARY_DOUBLE"
class BINARY_FLOAT(sqltypes.Float):
__visit_name__ = "BINARY_FLOAT"
class BFILE(sqltypes.LargeBinary):
__visit_name__ = "BFILE"
class LONG(sqltypes.Text):
__visit_name__ = "LONG"
class DATE(sqltypes.DateTime):
"""Provide the oracle DATE type.
This type has no special Python behavior, except that it subclasses
:class:`_types.DateTime`; this is to suit the fact that the Oracle
``DATE`` type supports a time value.
.. versionadded:: 0.9.4
"""
__visit_name__ = "DATE"
def _compare_type_affinity(self, other):
return other._type_affinity in (sqltypes.DateTime, sqltypes.Date)
class INTERVAL(sqltypes.NativeForEmulated, sqltypes._AbstractInterval):
__visit_name__ = "INTERVAL"
def __init__(self, day_precision=None, second_precision=None):
"""Construct an INTERVAL.
Note that only DAY TO SECOND intervals are currently supported.
This is due to a lack of support for YEAR TO MONTH intervals
within available DBAPIs.
:param day_precision: the day precision value. this is the number of
digits to store for the day field. Defaults to "2"
:param second_precision: the second precision value. this is the
number of digits to store for the fractional seconds field.
Defaults to "6".
"""
self.day_precision = day_precision
self.second_precision = second_precision
@classmethod
def _adapt_from_generic_interval(cls, interval):
return INTERVAL(
day_precision=interval.day_precision,
second_precision=interval.second_precision,
)
@property
def _type_affinity(self):
return sqltypes.Interval
def as_generic(self, allow_nulltype=False):
return sqltypes.Interval(
native=True,
second_precision=self.second_precision,
day_precision=self.day_precision,
)
def coerce_compared_value(self, op, value):
return self
class ROWID(sqltypes.TypeEngine):
"""Oracle ROWID type.
When used in a cast() or similar, generates ROWID.
"""
__visit_name__ = "ROWID"
class _OracleBoolean(sqltypes.Boolean):
def get_dbapi_type(self, dbapi):
return dbapi.NUMBER
colspecs = {
sqltypes.Boolean: _OracleBoolean,
sqltypes.Interval: INTERVAL,
sqltypes.DateTime: DATE,
}
ischema_names = {
"VARCHAR2": VARCHAR,
"NVARCHAR2": NVARCHAR,
"CHAR": CHAR,
"NCHAR": NCHAR,
"DATE": DATE,
"NUMBER": NUMBER,
"BLOB": BLOB,
"BFILE": BFILE,
"CLOB": CLOB,
"NCLOB": NCLOB,
"TIMESTAMP": TIMESTAMP,
"TIMESTAMP WITH TIME ZONE": TIMESTAMP,
"INTERVAL DAY TO SECOND": INTERVAL,
"RAW": RAW,
"FLOAT": FLOAT,
"DOUBLE PRECISION": DOUBLE_PRECISION,
"LONG": LONG,
"BINARY_DOUBLE": BINARY_DOUBLE,
"BINARY_FLOAT": BINARY_FLOAT,
}
class OracleTypeCompiler(compiler.GenericTypeCompiler):
# Note:
# Oracle DATE == DATETIME
# Oracle does not allow milliseconds in DATE
# Oracle does not support TIME columns
def visit_datetime(self, type_, **kw):
return self.visit_DATE(type_, **kw)
def visit_float(self, type_, **kw):
return self.visit_FLOAT(type_, **kw)
def visit_unicode(self, type_, **kw):
if self.dialect._use_nchar_for_unicode:
return self.visit_NVARCHAR2(type_, **kw)
else:
return self.visit_VARCHAR2(type_, **kw)
def visit_INTERVAL(self, type_, **kw):
return "INTERVAL DAY%s TO SECOND%s" % (
type_.day_precision is not None
and "(%d)" % type_.day_precision
or "",
type_.second_precision is not None
and "(%d)" % type_.second_precision
or "",
)
def visit_LONG(self, type_, **kw):
return "LONG"
def visit_TIMESTAMP(self, type_, **kw):
if type_.timezone:
return "TIMESTAMP WITH TIME ZONE"
else:
return "TIMESTAMP"
def visit_DOUBLE_PRECISION(self, type_, **kw):
return self._generate_numeric(type_, "DOUBLE PRECISION", **kw)
def visit_BINARY_DOUBLE(self, type_, **kw):
return self._generate_numeric(type_, "BINARY_DOUBLE", **kw)
def visit_BINARY_FLOAT(self, type_, **kw):
return self._generate_numeric(type_, "BINARY_FLOAT", **kw)
def visit_FLOAT(self, type_, **kw):
# don't support conversion between decimal/binary
# precision yet
kw["no_precision"] = True
return self._generate_numeric(type_, "FLOAT", **kw)
def visit_NUMBER(self, type_, **kw):
return self._generate_numeric(type_, "NUMBER", **kw)
def _generate_numeric(
self, type_, name, precision=None, scale=None, no_precision=False, **kw
):
if precision is None:
precision = type_.precision
if scale is None:
scale = getattr(type_, "scale", None)
if no_precision or precision is None:
return name
elif scale is None:
n = "%(name)s(%(precision)s)"
return n % {"name": name, "precision": precision}
else:
n = "%(name)s(%(precision)s, %(scale)s)"
return n % {"name": name, "precision": precision, "scale": scale}
def visit_string(self, type_, **kw):
return self.visit_VARCHAR2(type_, **kw)
def visit_VARCHAR2(self, type_, **kw):
return self._visit_varchar(type_, "", "2")
def visit_NVARCHAR2(self, type_, **kw):
return self._visit_varchar(type_, "N", "2")
visit_NVARCHAR = visit_NVARCHAR2
def visit_VARCHAR(self, type_, **kw):
return self._visit_varchar(type_, "", "")
def _visit_varchar(self, type_, n, num):
if not type_.length:
return "%(n)sVARCHAR%(two)s" % {"two": num, "n": n}
elif not n and self.dialect._supports_char_length:
varchar = "VARCHAR%(two)s(%(length)s CHAR)"
return varchar % {"length": type_.length, "two": num}
else:
varchar = "%(n)sVARCHAR%(two)s(%(length)s)"
return varchar % {"length": type_.length, "two": num, "n": n}
def visit_text(self, type_, **kw):
return self.visit_CLOB(type_, **kw)
def visit_unicode_text(self, type_, **kw):
if self.dialect._use_nchar_for_unicode:
return self.visit_NCLOB(type_, **kw)
else:
return self.visit_CLOB(type_, **kw)
def visit_large_binary(self, type_, **kw):
return self.visit_BLOB(type_, **kw)
def visit_big_integer(self, type_, **kw):
return self.visit_NUMBER(type_, precision=19, **kw)
def visit_boolean(self, type_, **kw):
return self.visit_SMALLINT(type_, **kw)
def visit_RAW(self, type_, **kw):
if type_.length:
return "RAW(%(length)s)" % {"length": type_.length}
else:
return "RAW"
def visit_ROWID(self, type_, **kw):
return "ROWID"
class OracleCompiler(compiler.SQLCompiler):
"""Oracle compiler modifies the lexical structure of Select
statements to work under non-ANSI configured Oracle databases, if
the use_ansi flag is False.
"""
compound_keywords = util.update_copy(
compiler.SQLCompiler.compound_keywords,
{expression.CompoundSelect.EXCEPT: "MINUS"},
)
def __init__(self, *args, **kwargs):
self.__wheres = {}
super(OracleCompiler, self).__init__(*args, **kwargs)
def visit_mod_binary(self, binary, operator, **kw):
return "mod(%s, %s)" % (
self.process(binary.left, **kw),
self.process(binary.right, **kw),
)
def visit_now_func(self, fn, **kw):
return "CURRENT_TIMESTAMP"
def visit_char_length_func(self, fn, **kw):
return "LENGTH" + self.function_argspec(fn, **kw)
def visit_match_op_binary(self, binary, operator, **kw):
return "CONTAINS (%s, %s)" % (
self.process(binary.left),
self.process(binary.right),
)
def visit_true(self, expr, **kw):
return "1"
def visit_false(self, expr, **kw):
return "0"
def get_cte_preamble(self, recursive):
return "WITH"
def get_select_hint_text(self, byfroms):
return " ".join("/*+ %s */" % text for table, text in byfroms.items())
def function_argspec(self, fn, **kw):
if len(fn.clauses) > 0 or fn.name.upper() not in NO_ARG_FNS:
return compiler.SQLCompiler.function_argspec(self, fn, **kw)
else:
return ""
def visit_function(self, func, **kw):
text = super(OracleCompiler, self).visit_function(func, **kw)
if kw.get("asfrom", False):
text = "TABLE (%s)" % func
return text
def visit_table_valued_column(self, element, **kw):
text = super(OracleCompiler, self).visit_table_valued_column(
element, **kw
)
text = "COLUMN_VALUE " + text
return text
def default_from(self):
"""Called when a ``SELECT`` statement has no froms,
and no ``FROM`` clause is to be appended.
The Oracle compiler tacks a "FROM DUAL" to the statement.
"""
return " FROM DUAL"
def visit_join(self, join, from_linter=None, **kwargs):
if self.dialect.use_ansi:
return compiler.SQLCompiler.visit_join(
self, join, from_linter=from_linter, **kwargs
)
else:
if from_linter:
from_linter.edges.add((join.left, join.right))
kwargs["asfrom"] = True
if isinstance(join.right, expression.FromGrouping):
right = join.right.element
else:
right = join.right
return (
self.process(join.left, from_linter=from_linter, **kwargs)
+ ", "
+ self.process(right, from_linter=from_linter, **kwargs)
)
def _get_nonansi_join_whereclause(self, froms):
clauses = []
def visit_join(join):
if join.isouter:
# https://docs.oracle.com/database/121/SQLRF/queries006.htm#SQLRF52354
# "apply the outer join operator (+) to all columns of B in
# the join condition in the WHERE clause" - that is,
# unconditionally regardless of operator or the other side
def visit_binary(binary):
if isinstance(
binary.left, expression.ColumnClause
) and join.right.is_derived_from(binary.left.table):
binary.left = _OuterJoinColumn(binary.left)
elif isinstance(
binary.right, expression.ColumnClause
) and join.right.is_derived_from(binary.right.table):
binary.right = _OuterJoinColumn(binary.right)
clauses.append(
visitors.cloned_traverse(
join.onclause, {}, {"binary": visit_binary}
)
)
else:
clauses.append(join.onclause)
for j in join.left, join.right:
if isinstance(j, expression.Join):
visit_join(j)
elif isinstance(j, expression.FromGrouping):
visit_join(j.element)
for f in froms:
if isinstance(f, expression.Join):
visit_join(f)
if not clauses:
return None
else:
return sql.and_(*clauses)
def visit_outer_join_column(self, vc, **kw):
return self.process(vc.column, **kw) + "(+)"
def visit_sequence(self, seq, **kw):
return self.preparer.format_sequence(seq) + ".nextval"
def get_render_as_alias_suffix(self, alias_name_text):
"""Oracle doesn't like ``FROM table AS alias``"""
return " " + alias_name_text
def returning_clause(self, stmt, returning_cols):
columns = []
binds = []
for i, column in enumerate(
expression._select_iterables(returning_cols)
):
if (
self.isupdate
and isinstance(column, sa_schema.Column)
and isinstance(column.server_default, Computed)
and not self.dialect._supports_update_returning_computed_cols
):
util.warn(
"Computed columns don't work with Oracle UPDATE "
"statements that use RETURNING; the value of the column "
"*before* the UPDATE takes place is returned. It is "
"advised to not use RETURNING with an Oracle computed "
"column. Consider setting implicit_returning to False on "
"the Table object in order to avoid implicit RETURNING "
"clauses from being generated for this Table."
)
if column.type._has_column_expression:
col_expr = column.type.column_expression(column)
else:
col_expr = column
outparam = sql.outparam("ret_%d" % i, type_=column.type)
self.binds[outparam.key] = outparam
binds.append(
self.bindparam_string(self._truncate_bindparam(outparam))
)
# ensure the ExecutionContext.get_out_parameters() method is
# *not* called; the cx_Oracle dialect wants to handle these
# parameters separately
self.has_out_parameters = False
columns.append(self.process(col_expr, within_columns_clause=False))
self._add_to_result_map(
getattr(col_expr, "name", col_expr._anon_name_label),
getattr(col_expr, "name", col_expr._anon_name_label),
(
column,
getattr(column, "name", None),
getattr(column, "key", None),
),
column.type,
)
return "RETURNING " + ", ".join(columns) + " INTO " + ", ".join(binds)
def translate_select_structure(self, select_stmt, **kwargs):
select = select_stmt
if not getattr(select, "_oracle_visit", None):
if not self.dialect.use_ansi:
froms = self._display_froms_for_select(
select, kwargs.get("asfrom", False)
)
whereclause = self._get_nonansi_join_whereclause(froms)
if whereclause is not None:
select = select.where(whereclause)
select._oracle_visit = True
# if fetch is used this is not needed
if (
select._has_row_limiting_clause
and select._fetch_clause is None
):
limit_clause = select._limit_clause
offset_clause = select._offset_clause
if select._simple_int_clause(limit_clause):
limit_clause = limit_clause.render_literal_execute()
if select._simple_int_clause(offset_clause):
offset_clause = offset_clause.render_literal_execute()
# currently using form at:
# https://blogs.oracle.com/oraclemagazine/\
# on-rownum-and-limiting-results
orig_select = select
select = select._generate()
select._oracle_visit = True
# add expressions to accommodate FOR UPDATE OF
for_update = select._for_update_arg
if for_update is not None and for_update.of:
for_update = for_update._clone()
for_update._copy_internals()
for elem in for_update.of:
if not select.selected_columns.contains_column(elem):
select = select.add_columns(elem)
# Wrap the middle select and add the hint
inner_subquery = select.alias()
limitselect = sql.select(
*[
c
for c in inner_subquery.c
if orig_select.selected_columns.corresponding_column(c)
is not None
]
)
if (
limit_clause is not None
and self.dialect.optimize_limits
and select._simple_int_clause(limit_clause)
):
limitselect = limitselect.prefix_with(
expression.text(
"/*+ FIRST_ROWS(%s) */"
% self.process(limit_clause, **kwargs)
)
)
limitselect._oracle_visit = True
limitselect._is_wrapper = True
# add expressions to accommodate FOR UPDATE OF
if for_update is not None and for_update.of:
adapter = sql_util.ClauseAdapter(inner_subquery)
for_update.of = [
adapter.traverse(elem) for elem in for_update.of
]
# If needed, add the limiting clause
if limit_clause is not None:
if select._simple_int_clause(limit_clause) and (
offset_clause is None
or select._simple_int_clause(offset_clause)
):
max_row = limit_clause
if offset_clause is not None:
max_row = max_row + offset_clause
else:
max_row = limit_clause
if offset_clause is not None:
max_row = max_row + offset_clause
limitselect = limitselect.where(
sql.literal_column("ROWNUM") <= max_row
)
# If needed, add the ora_rn, and wrap again with offset.
if offset_clause is None:
limitselect._for_update_arg = for_update
select = limitselect
else:
limitselect = limitselect.add_columns(
sql.literal_column("ROWNUM").label("ora_rn")
)
limitselect._oracle_visit = True
limitselect._is_wrapper = True
if for_update is not None and for_update.of:
limitselect_cols = limitselect.selected_columns
for elem in for_update.of:
if (
limitselect_cols.corresponding_column(elem)
is None
):
limitselect = limitselect.add_columns(elem)
limit_subquery = limitselect.alias()
origselect_cols = orig_select.selected_columns
offsetselect = sql.select(
*[
c
for c in limit_subquery.c
if origselect_cols.corresponding_column(c)
is not None
]
)
offsetselect._oracle_visit = True
offsetselect._is_wrapper = True
if for_update is not None and for_update.of:
adapter = sql_util.ClauseAdapter(limit_subquery)
for_update.of = [
adapter.traverse(elem) for elem in for_update.of
]
offsetselect = offsetselect.where(
sql.literal_column("ora_rn") > offset_clause
)
offsetselect._for_update_arg = for_update
select = offsetselect
return select
def limit_clause(self, select, **kw):
return ""
def visit_empty_set_expr(self, type_):
return "SELECT 1 FROM DUAL WHERE 1!=1"
def for_update_clause(self, select, **kw):
if self.is_subquery():
return ""
tmp = " FOR UPDATE"
if select._for_update_arg.of:
tmp += " OF " + ", ".join(
self.process(elem, **kw) for elem in select._for_update_arg.of
)
if select._for_update_arg.nowait:
tmp += " NOWAIT"
if select._for_update_arg.skip_locked:
tmp += " SKIP LOCKED"
return tmp
def visit_is_distinct_from_binary(self, binary, operator, **kw):
return "DECODE(%s, %s, 0, 1) = 1" % (
self.process(binary.left),
self.process(binary.right),
)
def visit_is_not_distinct_from_binary(self, binary, operator, **kw):
return "DECODE(%s, %s, 0, 1) = 0" % (
self.process(binary.left),
self.process(binary.right),
)
def _get_regexp_args(self, binary, kw):
string = self.process(binary.left, **kw)
pattern = self.process(binary.right, **kw)
flags = binary.modifiers["flags"]
if flags is not None:
flags = self.process(flags, **kw)
return string, pattern, flags
def visit_regexp_match_op_binary(self, binary, operator, **kw):
string, pattern, flags = self._get_regexp_args(binary, kw)
if flags is None:
return "REGEXP_LIKE(%s, %s)" % (string, pattern)
else:
return "REGEXP_LIKE(%s, %s, %s)" % (string, pattern, flags)
def visit_not_regexp_match_op_binary(self, binary, operator, **kw):
return "NOT %s" % self.visit_regexp_match_op_binary(
binary, operator, **kw
)
def visit_regexp_replace_op_binary(self, binary, operator, **kw):
string, pattern, flags = self._get_regexp_args(binary, kw)
replacement = self.process(binary.modifiers["replacement"], **kw)
if flags is None:
return "REGEXP_REPLACE(%s, %s, %s)" % (
string,
pattern,
replacement,
)
else:
return "REGEXP_REPLACE(%s, %s, %s, %s)" % (
string,
pattern,
replacement,
flags,
)
class OracleDDLCompiler(compiler.DDLCompiler):
def define_constraint_cascades(self, constraint):
text = ""
if constraint.ondelete is not None:
text += " ON DELETE %s" % constraint.ondelete
# oracle has no ON UPDATE CASCADE -
# its only available via triggers
# http://asktom.oracle.com/tkyte/update_cascade/index.html
if constraint.onupdate is not None:
util.warn(
"Oracle does not contain native UPDATE CASCADE "
"functionality - onupdates will not be rendered for foreign "
"keys. Consider using deferrable=True, initially='deferred' "
"or triggers."
)
return text
def visit_drop_table_comment(self, drop):
return "COMMENT ON TABLE %s IS ''" % self.preparer.format_table(
drop.element
)
def visit_create_index(self, create):
index = create.element
self._verify_index_table(index)
preparer = self.preparer
text = "CREATE "
if index.unique:
text += "UNIQUE "
if index.dialect_options["oracle"]["bitmap"]:
text += "BITMAP "
text += "INDEX %s ON %s (%s)" % (
self._prepared_index_name(index, include_schema=True),
preparer.format_table(index.table, use_schema=True),
", ".join(
self.sql_compiler.process(
expr, include_table=False, literal_binds=True
)
for expr in index.expressions
),
)
if index.dialect_options["oracle"]["compress"] is not False:
if index.dialect_options["oracle"]["compress"] is True:
text += " COMPRESS"
else:
text += " COMPRESS %d" % (
index.dialect_options["oracle"]["compress"]
)
return text
def post_create_table(self, table):
table_opts = []
opts = table.dialect_options["oracle"]
if opts["on_commit"]:
on_commit_options = opts["on_commit"].replace("_", " ").upper()
table_opts.append("\n ON COMMIT %s" % on_commit_options)
if opts["compress"]:
if opts["compress"] is True:
table_opts.append("\n COMPRESS")
else:
table_opts.append("\n COMPRESS FOR %s" % (opts["compress"]))
return "".join(table_opts)
def get_identity_options(self, identity_options):
text = super(OracleDDLCompiler, self).get_identity_options(
identity_options
)
text = text.replace("NO MINVALUE", "NOMINVALUE")
text = text.replace("NO MAXVALUE", "NOMAXVALUE")
text = text.replace("NO CYCLE", "NOCYCLE")
text = text.replace("NO ORDER", "NOORDER")
return text
def visit_computed_column(self, generated):
text = "GENERATED ALWAYS AS (%s)" % self.sql_compiler.process(
generated.sqltext, include_table=False, literal_binds=True
)
if generated.persisted is True:
raise exc.CompileError(
"Oracle computed columns do not support 'stored' persistence; "
"set the 'persisted' flag to None or False for Oracle support."
)
elif generated.persisted is False:
text += " VIRTUAL"
return text
def visit_identity_column(self, identity, **kw):
if identity.always is None:
kind = ""
else:
kind = "ALWAYS" if identity.always else "BY DEFAULT"
text = "GENERATED %s" % kind
if identity.on_null:
text += " ON NULL"
text += " AS IDENTITY"
options = self.get_identity_options(identity)
if options:
text += " (%s)" % options
return text
class OracleIdentifierPreparer(compiler.IdentifierPreparer):
reserved_words = {x.lower() for x in RESERVED_WORDS}
illegal_initial_characters = {str(dig) for dig in range(0, 10)}.union(
["_", "$"]
)
def _bindparam_requires_quotes(self, value):
"""Return True if the given identifier requires quoting."""
lc_value = value.lower()
return (
lc_value in self.reserved_words
or value[0] in self.illegal_initial_characters
or not self.legal_characters.match(util.text_type(value))
)
def format_savepoint(self, savepoint):
name = savepoint.ident.lstrip("_")
return super(OracleIdentifierPreparer, self).format_savepoint(
savepoint, name
)
class OracleExecutionContext(default.DefaultExecutionContext):
def fire_sequence(self, seq, type_):
return self._execute_scalar(
"SELECT "
+ self.identifier_preparer.format_sequence(seq)
+ ".nextval FROM DUAL",
type_,
)
class OracleDialect(default.DefaultDialect):
name = "oracle"
supports_statement_cache = True
supports_alter = True
supports_unicode_statements = False
supports_unicode_binds = False
max_identifier_length = 128
supports_simple_order_by_label = False
cte_follows_insert = True
supports_sequences = True
sequences_optional = False
postfetch_lastrowid = False
default_paramstyle = "named"
colspecs = colspecs
ischema_names = ischema_names
requires_name_normalize = True
supports_comments = True
supports_default_values = False
supports_default_metavalue = True
supports_empty_insert = False
supports_identity_columns = True
statement_compiler = OracleCompiler
ddl_compiler = OracleDDLCompiler
type_compiler = OracleTypeCompiler
preparer = OracleIdentifierPreparer
execution_ctx_cls = OracleExecutionContext
reflection_options = ("oracle_resolve_synonyms",)
_use_nchar_for_unicode = False
construct_arguments = [
(
sa_schema.Table,
{"resolve_synonyms": False, "on_commit": None, "compress": False},
),
(sa_schema.Index, {"bitmap": False, "compress": False}),
]
@util.deprecated_params(
use_binds_for_limits=(
"1.4",
"The ``use_binds_for_limits`` Oracle dialect parameter is "
"deprecated. The dialect now renders LIMIT /OFFSET integers "
"inline in all cases using a post-compilation hook, so that the "
"value is still represented by a 'bound parameter' on the Core "
"Expression side.",
)
)
def __init__(
self,
use_ansi=True,
optimize_limits=False,
use_binds_for_limits=None,
use_nchar_for_unicode=False,
exclude_tablespaces=("SYSTEM", "SYSAUX"),
**kwargs
):
default.DefaultDialect.__init__(self, **kwargs)
self._use_nchar_for_unicode = use_nchar_for_unicode
self.use_ansi = use_ansi
self.optimize_limits = optimize_limits
self.exclude_tablespaces = exclude_tablespaces
def initialize(self, connection):
super(OracleDialect, self).initialize(connection)
self.implicit_returning = self.__dict__.get(
"implicit_returning", self.server_version_info > (10,)
)
if self._is_oracle_8:
self.colspecs = self.colspecs.copy()
self.colspecs.pop(sqltypes.Interval)
self.use_ansi = False
self.supports_identity_columns = self.server_version_info >= (12,)
def _get_effective_compat_server_version_info(self, connection):
# dialect does not need compat levels below 12.2, so don't query
# in those cases
if self.server_version_info < (12, 2):
return self.server_version_info
try:
compat = connection.exec_driver_sql(
"SELECT value FROM v$parameter WHERE name = 'compatible'"
).scalar()
except exc.DBAPIError:
compat = None
if compat:
try:
return tuple(int(x) for x in compat.split("."))
except:
return self.server_version_info
else:
return self.server_version_info
@property
def _is_oracle_8(self):
return self.server_version_info and self.server_version_info < (9,)
@property
def _supports_table_compression(self):
return self.server_version_info and self.server_version_info >= (10, 1)
@property
def _supports_table_compress_for(self):
return self.server_version_info and self.server_version_info >= (11,)
@property
def _supports_char_length(self):
return not self._is_oracle_8
@property
def _supports_update_returning_computed_cols(self):
# on version 18 this error is no longet present while it happens on 11
# it may work also on versions before the 18
return self.server_version_info and self.server_version_info >= (18,)
def do_release_savepoint(self, connection, name):
# Oracle does not support RELEASE SAVEPOINT
pass
def _check_max_identifier_length(self, connection):
if self._get_effective_compat_server_version_info(connection) < (
12,
2,
):
return 30
else:
# use the default
return None
def _check_unicode_returns(self, connection):
additional_tests = [
expression.cast(
expression.literal_column("'test nvarchar2 returns'"),
sqltypes.NVARCHAR(60),
)
]
return super(OracleDialect, self)._check_unicode_returns(
connection, additional_tests
)
_isolation_lookup = ["READ COMMITTED", "SERIALIZABLE"]
def get_isolation_level(self, connection):
raise NotImplementedError("implemented by cx_Oracle dialect")
def get_default_isolation_level(self, dbapi_conn):
try:
return self.get_isolation_level(dbapi_conn)
except NotImplementedError:
raise
except:
return "READ COMMITTED"
def set_isolation_level(self, connection, level):
raise NotImplementedError("implemented by cx_Oracle dialect")
def has_table(self, connection, table_name, schema=None):
self._ensure_has_table_connection(connection)
if not schema:
schema = self.default_schema_name
cursor = connection.execute(
sql.text(
"SELECT table_name FROM all_tables "
"WHERE table_name = :name AND owner = :schema_name"
),
dict(
name=self.denormalize_name(table_name),
schema_name=self.denormalize_name(schema),
),
)
return cursor.first() is not None
def has_sequence(self, connection, sequence_name, schema=None):
if not schema:
schema = self.default_schema_name
cursor = connection.execute(
sql.text(
"SELECT sequence_name FROM all_sequences "
"WHERE sequence_name = :name AND "
"sequence_owner = :schema_name"
),
dict(
name=self.denormalize_name(sequence_name),
schema_name=self.denormalize_name(schema),
),
)
return cursor.first() is not None
def _get_default_schema_name(self, connection):
return self.normalize_name(
connection.exec_driver_sql(
"select sys_context( 'userenv', 'current_schema' ) from dual"
).scalar()
)
def _resolve_synonym(
self,
connection,
desired_owner=None,
desired_synonym=None,
desired_table=None,
):
"""search for a local synonym matching the given desired owner/name.
if desired_owner is None, attempts to locate a distinct owner.
returns the actual name, owner, dblink name, and synonym name if
found.
"""
q = (
"SELECT owner, table_owner, table_name, db_link, "
"synonym_name FROM all_synonyms WHERE "
)
clauses = []
params = {}
if desired_synonym:
clauses.append("synonym_name = :synonym_name")
params["synonym_name"] = desired_synonym
if desired_owner:
clauses.append("owner = :desired_owner")
params["desired_owner"] = desired_owner
if desired_table:
clauses.append("table_name = :tname")
params["tname"] = desired_table
q += " AND ".join(clauses)
result = connection.execution_options(future_result=True).execute(
sql.text(q), params
)
if desired_owner:
row = result.mappings().first()
if row:
return (
row["table_name"],
row["table_owner"],
row["db_link"],
row["synonym_name"],
)
else:
return None, None, None, None
else:
rows = result.mappings().all()
if len(rows) > 1:
raise AssertionError(
"There are multiple tables visible to the schema, you "
"must specify owner"
)
elif len(rows) == 1:
row = rows[0]
return (
row["table_name"],
row["table_owner"],
row["db_link"],
row["synonym_name"],
)
else:
return None, None, None, None
@reflection.cache
def _prepare_reflection_args(
self,
connection,
table_name,
schema=None,
resolve_synonyms=False,
dblink="",
**kw
):
if resolve_synonyms:
actual_name, owner, dblink, synonym = self._resolve_synonym(
connection,
desired_owner=self.denormalize_name(schema),
desired_synonym=self.denormalize_name(table_name),
)
else:
actual_name, owner, dblink, synonym = None, None, None, None
if not actual_name:
actual_name = self.denormalize_name(table_name)
if dblink:
# using user_db_links here since all_db_links appears
# to have more restricted permissions.
# http://docs.oracle.com/cd/B28359_01/server.111/b28310/ds_admin005.htm
# will need to hear from more users if we are doing
# the right thing here. See [ticket:2619]
owner = connection.scalar(
sql.text(
"SELECT username FROM user_db_links " "WHERE db_link=:link"
),
dict(link=dblink),
)
dblink = "@" + dblink
elif not owner:
owner = self.denormalize_name(schema or self.default_schema_name)
return (actual_name, owner, dblink or "", synonym)
@reflection.cache
def get_schema_names(self, connection, **kw):
s = "SELECT username FROM all_users ORDER BY username"
cursor = connection.exec_driver_sql(s)
return [self.normalize_name(row[0]) for row in cursor]
@reflection.cache
def get_table_names(self, connection, schema=None, **kw):
schema = self.denormalize_name(schema or self.default_schema_name)
# note that table_names() isn't loading DBLINKed or synonym'ed tables
if schema is None:
schema = self.default_schema_name
sql_str = "SELECT table_name FROM all_tables WHERE "
if self.exclude_tablespaces:
sql_str += (
"nvl(tablespace_name, 'no tablespace') "
"NOT IN (%s) AND "
% (", ".join(["'%s'" % ts for ts in self.exclude_tablespaces]))
)
sql_str += (
"OWNER = :owner " "AND IOT_NAME IS NULL " "AND DURATION IS NULL"
)
cursor = connection.execute(sql.text(sql_str), dict(owner=schema))
return [self.normalize_name(row[0]) for row in cursor]
@reflection.cache
def get_temp_table_names(self, connection, **kw):
schema = self.denormalize_name(self.default_schema_name)
sql_str = "SELECT table_name FROM all_tables WHERE "
if self.exclude_tablespaces:
sql_str += (
"nvl(tablespace_name, 'no tablespace') "
"NOT IN (%s) AND "
% (", ".join(["'%s'" % ts for ts in self.exclude_tablespaces]))
)
sql_str += (
"OWNER = :owner "
"AND IOT_NAME IS NULL "
"AND DURATION IS NOT NULL"
)
cursor = connection.execute(sql.text(sql_str), dict(owner=schema))
return [self.normalize_name(row[0]) for row in cursor]
@reflection.cache
def get_view_names(self, connection, schema=None, **kw):
schema = self.denormalize_name(schema or self.default_schema_name)
s = sql.text("SELECT view_name FROM all_views WHERE owner = :owner")
cursor = connection.execute(
s, dict(owner=self.denormalize_name(schema))
)
return [self.normalize_name(row[0]) for row in cursor]
@reflection.cache
def get_sequence_names(self, connection, schema=None, **kw):
if not schema:
schema = self.default_schema_name
cursor = connection.execute(
sql.text(
"SELECT sequence_name FROM all_sequences "
"WHERE sequence_owner = :schema_name"
),
dict(schema_name=self.denormalize_name(schema)),
)
return [self.normalize_name(row[0]) for row in cursor]
@reflection.cache
def get_table_options(self, connection, table_name, schema=None, **kw):
options = {}
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
params = {"table_name": table_name}
columns = ["table_name"]
if self._supports_table_compression:
columns.append("compression")
if self._supports_table_compress_for:
columns.append("compress_for")
text = (
"SELECT %(columns)s "
"FROM ALL_TABLES%(dblink)s "
"WHERE table_name = :table_name"
)
if schema is not None:
params["owner"] = schema
text += " AND owner = :owner "
text = text % {"dblink": dblink, "columns": ", ".join(columns)}
result = connection.execute(sql.text(text), params)
enabled = dict(DISABLED=False, ENABLED=True)
row = result.first()
if row:
if "compression" in row._fields and enabled.get(
row.compression, False
):
if "compress_for" in row._fields:
options["oracle_compress"] = row.compress_for
else:
options["oracle_compress"] = True
return options
@reflection.cache
def get_columns(self, connection, table_name, schema=None, **kw):
"""
kw arguments can be:
oracle_resolve_synonyms
dblink
"""
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
columns = []
if self._supports_char_length:
char_length_col = "char_length"
else:
char_length_col = "data_length"
if self.server_version_info >= (12,):
identity_cols = """\
col.default_on_null,
(
SELECT id.generation_type || ',' || id.IDENTITY_OPTIONS
FROM ALL_TAB_IDENTITY_COLS%(dblink)s id
WHERE col.table_name = id.table_name
AND col.column_name = id.column_name
AND col.owner = id.owner
) AS identity_options""" % {
"dblink": dblink
}
else:
identity_cols = "NULL as default_on_null, NULL as identity_options"
params = {"table_name": table_name}
text = """
SELECT
col.column_name,
col.data_type,
col.%(char_length_col)s,
col.data_precision,
col.data_scale,
col.nullable,
col.data_default,
com.comments,
col.virtual_column,
%(identity_cols)s
FROM all_tab_cols%(dblink)s col
LEFT JOIN all_col_comments%(dblink)s com
ON col.table_name = com.table_name
AND col.column_name = com.column_name
AND col.owner = com.owner
WHERE col.table_name = :table_name
AND col.hidden_column = 'NO'
"""
if schema is not None:
params["owner"] = schema
text += " AND col.owner = :owner "
text += " ORDER BY col.column_id"
text = text % {
"dblink": dblink,
"char_length_col": char_length_col,
"identity_cols": identity_cols,
}
c = connection.execute(sql.text(text), params)
for row in c:
colname = self.normalize_name(row[0])
orig_colname = row[0]
coltype = row[1]
length = row[2]
precision = row[3]
scale = row[4]
nullable = row[5] == "Y"
default = row[6]
comment = row[7]
generated = row[8]
default_on_nul = row[9]
identity_options = row[10]
if coltype == "NUMBER":
if precision is None and scale == 0:
coltype = INTEGER()
else:
coltype = NUMBER(precision, scale)
elif coltype == "FLOAT":
# TODO: support "precision" here as "binary_precision"
coltype = FLOAT()
elif coltype in ("VARCHAR2", "NVARCHAR2", "CHAR", "NCHAR"):
coltype = self.ischema_names.get(coltype)(length)
elif "WITH TIME ZONE" in coltype:
coltype = TIMESTAMP(timezone=True)
else:
coltype = re.sub(r"\(\d+\)", "", coltype)
try:
coltype = self.ischema_names[coltype]
except KeyError:
util.warn(
"Did not recognize type '%s' of column '%s'"
% (coltype, colname)
)
coltype = sqltypes.NULLTYPE
if generated == "YES":
computed = dict(sqltext=default)
default = None
else:
computed = None
if identity_options is not None:
identity = self._parse_identity_options(
identity_options, default_on_nul
)
default = None
else:
identity = None
cdict = {
"name": colname,
"type": coltype,
"nullable": nullable,
"default": default,
"autoincrement": "auto",
"comment": comment,
}
if orig_colname.lower() == orig_colname:
cdict["quote"] = True
if computed is not None:
cdict["computed"] = computed
if identity is not None:
cdict["identity"] = identity
columns.append(cdict)
return columns
def _parse_identity_options(self, identity_options, default_on_nul):
# identity_options is a string that starts with 'ALWAYS,' or
# 'BY DEFAULT,' and continues with
# START WITH: 1, INCREMENT BY: 1, MAX_VALUE: 123, MIN_VALUE: 1,
# CYCLE_FLAG: N, CACHE_SIZE: 1, ORDER_FLAG: N, SCALE_FLAG: N,
# EXTEND_FLAG: N, SESSION_FLAG: N, KEEP_VALUE: N
parts = [p.strip() for p in identity_options.split(",")]
identity = {
"always": parts[0] == "ALWAYS",
"on_null": default_on_nul == "YES",
}
for part in parts[1:]:
option, value = part.split(":")
value = value.strip()
if "START WITH" in option:
identity["start"] = compat.long_type(value)
elif "INCREMENT BY" in option:
identity["increment"] = compat.long_type(value)
elif "MAX_VALUE" in option:
identity["maxvalue"] = compat.long_type(value)
elif "MIN_VALUE" in option:
identity["minvalue"] = compat.long_type(value)
elif "CYCLE_FLAG" in option:
identity["cycle"] = value == "Y"
elif "CACHE_SIZE" in option:
identity["cache"] = compat.long_type(value)
elif "ORDER_FLAG" in option:
identity["order"] = value == "Y"
return identity
@reflection.cache
def get_table_comment(
self,
connection,
table_name,
schema=None,
resolve_synonyms=False,
dblink="",
**kw
):
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
if not schema:
schema = self.default_schema_name
COMMENT_SQL = """
SELECT comments
FROM all_tab_comments
WHERE table_name = :table_name AND owner = :schema_name
"""
c = connection.execute(
sql.text(COMMENT_SQL),
dict(table_name=table_name, schema_name=schema),
)
return {"text": c.scalar()}
@reflection.cache
def get_indexes(
self,
connection,
table_name,
schema=None,
resolve_synonyms=False,
dblink="",
**kw
):
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
indexes = []
params = {"table_name": table_name}
text = (
"SELECT a.index_name, a.column_name, "
"\nb.index_type, b.uniqueness, b.compression, b.prefix_length "
"\nFROM ALL_IND_COLUMNS%(dblink)s a, "
"\nALL_INDEXES%(dblink)s b "
"\nWHERE "
"\na.index_name = b.index_name "
"\nAND a.table_owner = b.table_owner "
"\nAND a.table_name = b.table_name "
"\nAND a.table_name = :table_name "
)
if schema is not None:
params["schema"] = schema
text += "AND a.table_owner = :schema "
text += "ORDER BY a.index_name, a.column_position"
text = text % {"dblink": dblink}
q = sql.text(text)
rp = connection.execute(q, params)
indexes = []
last_index_name = None
pk_constraint = self.get_pk_constraint(
connection,
table_name,
schema,
resolve_synonyms=resolve_synonyms,
dblink=dblink,
info_cache=kw.get("info_cache"),
)
uniqueness = dict(NONUNIQUE=False, UNIQUE=True)
enabled = dict(DISABLED=False, ENABLED=True)
oracle_sys_col = re.compile(r"SYS_NC\d+\$", re.IGNORECASE)
index = None
for rset in rp:
index_name_normalized = self.normalize_name(rset.index_name)
# skip primary key index. This is refined as of
# [ticket:5421]. Note that ALL_INDEXES.GENERATED will by "Y"
# if the name of this index was generated by Oracle, however
# if a named primary key constraint was created then this flag
# is false.
if (
pk_constraint
and index_name_normalized == pk_constraint["name"]
):
continue
if rset.index_name != last_index_name:
index = dict(
name=index_name_normalized,
column_names=[],
dialect_options={},
)
indexes.append(index)
index["unique"] = uniqueness.get(rset.uniqueness, False)
if rset.index_type in ("BITMAP", "FUNCTION-BASED BITMAP"):
index["dialect_options"]["oracle_bitmap"] = True
if enabled.get(rset.compression, False):
index["dialect_options"][
"oracle_compress"
] = rset.prefix_length
# filter out Oracle SYS_NC names. could also do an outer join
# to the all_tab_columns table and check for real col names there.
if not oracle_sys_col.match(rset.column_name):
index["column_names"].append(
self.normalize_name(rset.column_name)
)
last_index_name = rset.index_name
return indexes
@reflection.cache
def _get_constraint_data(
self, connection, table_name, schema=None, dblink="", **kw
):
params = {"table_name": table_name}
text = (
"SELECT"
"\nac.constraint_name," # 0
"\nac.constraint_type," # 1
"\nloc.column_name AS local_column," # 2
"\nrem.table_name AS remote_table," # 3
"\nrem.column_name AS remote_column," # 4
"\nrem.owner AS remote_owner," # 5
"\nloc.position as loc_pos," # 6
"\nrem.position as rem_pos," # 7
"\nac.search_condition," # 8
"\nac.delete_rule" # 9
"\nFROM all_constraints%(dblink)s ac,"
"\nall_cons_columns%(dblink)s loc,"
"\nall_cons_columns%(dblink)s rem"
"\nWHERE ac.table_name = :table_name"
"\nAND ac.constraint_type IN ('R','P', 'U', 'C')"
)
if schema is not None:
params["owner"] = schema
text += "\nAND ac.owner = :owner"
text += (
"\nAND ac.owner = loc.owner"
"\nAND ac.constraint_name = loc.constraint_name"
"\nAND ac.r_owner = rem.owner(+)"
"\nAND ac.r_constraint_name = rem.constraint_name(+)"
"\nAND (rem.position IS NULL or loc.position=rem.position)"
"\nORDER BY ac.constraint_name, loc.position"
)
text = text % {"dblink": dblink}
rp = connection.execute(sql.text(text), params)
constraint_data = rp.fetchall()
return constraint_data
@reflection.cache
def get_pk_constraint(self, connection, table_name, schema=None, **kw):
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
pkeys = []
constraint_name = None
constraint_data = self._get_constraint_data(
connection,
table_name,
schema,
dblink,
info_cache=kw.get("info_cache"),
)
for row in constraint_data:
(
cons_name,
cons_type,
local_column,
remote_table,
remote_column,
remote_owner,
) = row[0:2] + tuple([self.normalize_name(x) for x in row[2:6]])
if cons_type == "P":
if constraint_name is None:
constraint_name = self.normalize_name(cons_name)
pkeys.append(local_column)
return {"constrained_columns": pkeys, "name": constraint_name}
@reflection.cache
def get_foreign_keys(self, connection, table_name, schema=None, **kw):
"""
kw arguments can be:
oracle_resolve_synonyms
dblink
"""
requested_schema = schema # to check later on
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
constraint_data = self._get_constraint_data(
connection,
table_name,
schema,
dblink,
info_cache=kw.get("info_cache"),
)
def fkey_rec():
return {
"name": None,
"constrained_columns": [],
"referred_schema": None,
"referred_table": None,
"referred_columns": [],
"options": {},
}
fkeys = util.defaultdict(fkey_rec)
for row in constraint_data:
(
cons_name,
cons_type,
local_column,
remote_table,
remote_column,
remote_owner,
) = row[0:2] + tuple([self.normalize_name(x) for x in row[2:6]])
cons_name = self.normalize_name(cons_name)
if cons_type == "R":
if remote_table is None:
# ticket 363
util.warn(
(
"Got 'None' querying 'table_name' from "
"all_cons_columns%(dblink)s - does the user have "
"proper rights to the table?"
)
% {"dblink": dblink}
)
continue
rec = fkeys[cons_name]
rec["name"] = cons_name
local_cols, remote_cols = (
rec["constrained_columns"],
rec["referred_columns"],
)
if not rec["referred_table"]:
if resolve_synonyms:
(
ref_remote_name,
ref_remote_owner,
ref_dblink,
ref_synonym,
) = self._resolve_synonym(
connection,
desired_owner=self.denormalize_name(remote_owner),
desired_table=self.denormalize_name(remote_table),
)
if ref_synonym:
remote_table = self.normalize_name(ref_synonym)
remote_owner = self.normalize_name(
ref_remote_owner
)
rec["referred_table"] = remote_table
if (
requested_schema is not None
or self.denormalize_name(remote_owner) != schema
):
rec["referred_schema"] = remote_owner
if row[9] != "NO ACTION":
rec["options"]["ondelete"] = row[9]
local_cols.append(local_column)
remote_cols.append(remote_column)
return list(fkeys.values())
@reflection.cache
def get_unique_constraints(
self, connection, table_name, schema=None, **kw
):
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
constraint_data = self._get_constraint_data(
connection,
table_name,
schema,
dblink,
info_cache=kw.get("info_cache"),
)
unique_keys = filter(lambda x: x[1] == "U", constraint_data)
uniques_group = groupby(unique_keys, lambda x: x[0])
index_names = {
ix["name"]
for ix in self.get_indexes(connection, table_name, schema=schema)
}
return [
{
"name": name,
"column_names": cols,
"duplicates_index": name if name in index_names else None,
}
for name, cols in [
[
self.normalize_name(i[0]),
[self.normalize_name(x[2]) for x in i[1]],
]
for i in uniques_group
]
]
@reflection.cache
def get_view_definition(
self,
connection,
view_name,
schema=None,
resolve_synonyms=False,
dblink="",
**kw
):
info_cache = kw.get("info_cache")
(view_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
view_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
params = {"view_name": view_name}
text = "SELECT text FROM all_views WHERE view_name=:view_name"
if schema is not None:
text += " AND owner = :schema"
params["schema"] = schema
rp = connection.execute(sql.text(text), params).scalar()
if rp:
if util.py2k:
rp = rp.decode(self.encoding)
return rp
else:
return None
@reflection.cache
def get_check_constraints(
self, connection, table_name, schema=None, include_all=False, **kw
):
resolve_synonyms = kw.get("oracle_resolve_synonyms", False)
dblink = kw.get("dblink", "")
info_cache = kw.get("info_cache")
(table_name, schema, dblink, synonym) = self._prepare_reflection_args(
connection,
table_name,
schema,
resolve_synonyms,
dblink,
info_cache=info_cache,
)
constraint_data = self._get_constraint_data(
connection,
table_name,
schema,
dblink,
info_cache=kw.get("info_cache"),
)
check_constraints = filter(lambda x: x[1] == "C", constraint_data)
return [
{"name": self.normalize_name(cons[0]), "sqltext": cons[8]}
for cons in check_constraints
if include_all or not re.match(r"..+?. IS NOT NULL$", cons[8])
]
class _OuterJoinColumn(sql.ClauseElement):
__visit_name__ = "outer_join_column"
def __init__(self, column):
self.column = column