I have a python dictionary that I would like to store in Google\'s BigTable datastore (it is an attribute in a db.Model
class).
Is there an easy way to do t
I think you cannot avoid serializing your objects.
I would define the following model to store each key, value pair:
class DictModel(db.Model):
value = db.TextProperty()
To save to the datastore I'd use:
def set_value(key, value):
key = DictModel(value=pickle.dumps(value), key_name=key)
key.save()
return key
And to retrieve data:
def get_value(key):
return pickle.loads(DictModel.get_by_key_name(key).value)
I assume that when you need to be able to reach the dict, it's all-at-once? You don't have to get values from inside the dict while it's in the datastore?
If so, you'll have to serialize, but don't have to use pickle; we use simplejson instead. Then retrieving is a simple matter of overriding toBasicType(), sort of like this:
class MyModel(db.Model): #define some properties, including "data" which is a TextProperty containing a biggish dict def toBasicType(self): return {'metadata': self.getMetadata(), 'data': simplejson.loads(self.data)}
Creation involves calling MyModel(...,simplejson.dumps(data),...).
If you're already pickling, that may be your best bet, but simplejson's working pretty well for us.
Here's another approach:
class DictProperty(db.Property):
data_type = dict
def get_value_for_datastore(self, model_instance):
value = super(DictProperty, self).get_value_for_datastore(model_instance)
return db.Blob(pickle.dumps(value))
def make_value_from_datastore(self, value):
if value is None:
return dict()
return pickle.loads(value)
def default_value(self):
if self.default is None:
return dict()
else:
return super(DictProperty, self).default_value().copy()
def validate(self, value):
if not isinstance(value, dict):
raise db.BadValueError('Property %s needs to be convertible '
'to a dict instance (%s) of class dict' % (self.name, value))
return super(DictProperty, self).validate(value)
def empty(self, value):
return value is None