Is there a way to define a column (primary key) as a UUID in SQLAlchemy if using PostgreSQL (Postgres)?
问题:
回答1:
I wrote this and the domain is gone but here's the guts....
Regardless of how my colleagues who really care about proper database design feel about UUID's and GUIDs used for key fields. I often find I need to do it. I think it has some advantages over autoincrement that make it worth it.
I've been refining a UUID column type for the past few months and I think I've finally got it solid.
from sqlalchemy import types
from sqlalchemy.dialects.mysql.base import MSBinary
from sqlalchemy.schema import Column
import uuid
class UUID(types.TypeDecorator):
impl = MSBinary
def __init__(self):
self.impl.length = 16
types.TypeDecorator.__init__(self,length=self.impl.length)
def process_bind_param(self,value,dialect=None):
if value and isinstance(value,uuid.UUID):
return value.bytes
elif value and not isinstance(value,uuid.UUID):
raise ValueError,'value %s is not a valid uuid.UUID' % value
else:
return None
def process_result_value(self,value,dialect=None):
if value:
return uuid.UUID(bytes=value)
else:
return None
def is_mutable(self):
return False
id_column_name = "id"
def id_column():
import uuid
return Column(id_column_name,UUID(),primary_key=True,default=uuid.uuid4)
# Usage
my_table = Table('test',
metadata,
id_column(),
Column('parent_id',
UUID(),
ForeignKey(table_parent.c.id)))
I believe storing as binary(16 bytes) should end up being more efficient than the string representation(36 bytes?), And there seems to be some indication that indexing 16 byte blocks should be more efficient in mysql than strings. I wouldn't expect it to be worse anyway.
One disadvantage I've found is that at least in phpymyadmin, you can't edit records because it implicitly tries to do some sort of character conversion for the "select * from table where id =..." and there's miscellaneous display issues.
Other than that everything seems to work fine, and so I'm throwing it out there. Leave a comment if you see a glaring error with it. I welcome any suggestions for improving it.
Unless I'm missing something the above solution will work if the underlying database has a UUID type. If it doesn't, you would likely get errors when the table is created. The solution I came up with I was targeting MSSqlServer originally and then went MySql in the end, so I think my solution is a little more flexible as it seems to work fine on mysql and sqlite. Haven't bothered checking postgres yet.
回答2:
The sqlalchemy postgres dialect supports UUID columns. This is easy (and the question is specifically postgres) -- I don't understand why the other answers are all so complicated.
Here is an example:
from sqlalchemy.dialects.postgresql import UUID
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy()
class Foo(db.Model):
id = Column(Integer, primary_key=True)
uuid = Column(UUID(as_uuid=True), unique=True, nullable=False)
回答3:
See also the recipe for Backend-agnostic GUID Type in the SQLAlchemy documentation for column types.
回答4:
If you are happy with a 'String' column having UUID value, here goes a simple solution:
def generate_uuid():
return str(uuid.uuid4())
class MyTable(Base):
__tablename__ = 'my_table'
uuid = Column(String, name="uuid", primary_key=True, default=generate_uuid)
回答5:
I've used the UUIDType
from the SQLAlchemy-Utils
package: http://sqlalchemy-utils.readthedocs.org/en/latest/data_types.html#module-sqlalchemy_utils.types.uuid
回答6:
In case anyone is interested, I've been using Tom Willis answer, but found useful to add a string to uuid.UUID conversion in the process_bind_param method
class UUID(types.TypeDecorator):
impl = types.LargeBinary
def __init__(self):
self.impl.length = 16
types.TypeDecorator.__init__(self, length=self.impl.length)
def process_bind_param(self, value, dialect=None):
if value and isinstance(value, uuid.UUID):
return value.bytes
elif value and isinstance(value, basestring):
return uuid.UUID(value).bytes
elif value:
raise ValueError('value %s is not a valid uuid.UUId' % value)
else:
return None
def process_result_value(self, value, dialect=None):
if value:
return uuid.UUID(bytes=value)
else:
return None
def is_mutable(self):
return False
回答7:
Here is an approach based on the Backend agnostic GUID from the SQLAlchemy docs, but using a BINARY field to store the UUIDs in non-postgresql databases.
import uuid
from sqlalchemy.types import TypeDecorator, BINARY
from sqlalchemy.dialects.postgresql import UUID as psqlUUID
class UUID(TypeDecorator):
"""Platform-independent GUID type.
Uses Postgresql's UUID type, otherwise uses
BINARY(16), to store UUID.
"""
impl = BINARY
def load_dialect_impl(self, dialect):
if dialect.name == 'postgresql':
return dialect.type_descriptor(psqlUUID())
else:
return dialect.type_descriptor(BINARY(16))
def process_bind_param(self, value, dialect):
if value is None:
return value
else:
if not isinstance(value, uuid.UUID):
if isinstance(value, bytes):
value = uuid.UUID(bytes=value)
elif isinstance(value, int):
value = uuid.UUID(int=value)
elif isinstance(value, str):
value = uuid.UUID(value)
if dialect.name == 'postgresql':
return str(value)
else:
return value.bytes
def process_result_value(self, value, dialect):
if value is None:
return value
if dialect.name == 'postgresql':
return uuid.UUID(value)
else:
return uuid.UUID(bytes=value)
回答8:
You could try writing a custom type, for instance:
import sqlalchemy.types as types
class UUID(types.TypeEngine):
def get_col_spec(self):
return "uuid"
def bind_processor(self, dialect):
def process(value):
return value
return process
def result_processor(self, dialect):
def process(value):
return value
return process
table = Table('foo', meta,
Column('id', UUID(), primary_key=True),
)