Field storages¶
Field storage tells how the value of schema field is stored.
AttributeStorage¶
Products.Archetypes.storage.AttributeStorage
This is recommended for data which is always read when the object is
accessed:title
, description
, etc.
AnnotationStorage¶
Products.Archetypes.storage.annotation.AnnotationStorage
AnnotationStorage
creates an object attribute __annotations__
which
is an OOBTree
object. An OOBTree
uses buckets as the smallest
persistent entity. A bucket usually holds a small number of items. Buckets
are loaded on request and as needed compared to using native Python
datatypes.
It is safe to assume that you can fit few variables to one bucket.
You also might want to define ATFieldProperty
accessor if you are using
this storage. This allows you to read the object value using standard
Python attribute access notation.
Note that in this case the access goes through AT accessor and mutator functions. This differs from raw storage value access: for example the AT accessor encodes strings to UTF-8 before returning them.
Example:
VariantProductSchema['myField'].storage = atapi.AnnotationStorage()
class VariantProduct(folder.ATFolder):
meta_type = "VariantProduct"
schema = VariantProductSchema
myField = atapi.ATFieldProperty('title')
product = VariantProduct()
product.setMyField("foobar") # Set field using AT mutator method
products.myField = # AT field property magic. This is equal to product.getMyField()
SQLStorage¶
This stores field values in an external SQL database.
FSSStorage¶
Store the raw values of fields on the file system.
# Usual Zope/CMF/Plone/Archetypes imports
...
from iw.fss.FileSystemStorage import FileSystemStorage
...
my_schema = Schema((
FileField('file',
...
storage=FileSystemStorage(),
widget=FileWidget(...)
),
...
))
...