def batch_get(self, keys, consistent=False):
"""
Fetches many specific items in batch from a table.
Requires a ``keys`` parameter, which should be a list of dictionaries.
Each dictionary should consist of the keys values to specify.
Optionally accepts a ``consistent`` parameter, which should be a
boolean. If you provide ``True``, a strongly consistent read will be
used. (Default: False)
Returns a ``ResultSet``, which transparently handles the pagination of
results you get back.
Example::
>>> results = users.batch_get(keys=[
... {
... 'username': '******',
... },
... {
... 'username': '******',
... },
... {
... 'username': '******',
... },
... ])
>>> for res in results:
... print res['first_name']
'John'
'Jane'
'Fred'
"""
# We pass the keys to the constructor instead, so it can maintain it's
# own internal state as to what keys have been processed.
results = BatchGetResultSet(keys=keys,
max_batch_get=self.max_batch_get)
results.to_call(self._batch_get, consistent=False)
return results
def batch_get(self, keys, consistent=False):
"""
Fetches many specific items in batch from a table.
Requires a ``keys`` parameter, which should be a list of dictionaries.
Each dictionary should consist of the keys values to specify.
Optionally accepts a ``consistent`` parameter, which should be a
boolean. If you provide ``True``, a strongly consistent read will be
used. (Default: False)
Returns a ``ResultSet``, which transparently handles the pagination of
results you get back.
Example::
>>> results = users.batch_get(keys=[
... {
... 'username': '******',
... },
... {
... 'username': '******',
... },
... {
... 'username': '******',
... },
... ])
>>> for res in results:
... print res['first_name']
'John'
'Jane'
'Fred'
"""
# We pass the keys to the constructor instead, so it can maintain it's
# own internal state as to what keys have been processed.
results = BatchGetResultSet(keys=keys, max_batch_get=self.max_batch_get)
results.to_call(self._batch_get, consistent=False)
return results