def set_collection(cls, collection_name):
"""Return a MongoDB collection for the passed name.
:param collection_name: The name of collection to return.
:returns: A MongoDB collection from the current database.
"""
return Database.db()[collection_name]
def set_collection(cls, collection_name):
"""Return a MongoDB collection for the passed name.
:param collection_name: The name of collection to return.
:returns: A MongoDB collection from the current database.
"""
return Database.db()[collection_name]
def ensure_indexing():
"""Ensure that bamboo models are indexed."""
db = Database.db()
calculations = db.calculations
datasets = db.datasets
observations = db.observations
datasets.ensure_index([(DATASET_ID, ASCENDING)])
# The encoded dataset_id will be set to '0'.
observations.ensure_index([("0", ASCENDING)])
observations.ensure_index([(Observation.ENCODING_DATASET_ID, ASCENDING)])
calculations.ensure_index([(DATASET_ID, ASCENDING)])
def ensure_indexing():
"""Ensure that bamboo models are indexed."""
db = Database.db()
calculations = db.calculations
datasets = db.datasets
observations = db.observations
datasets.ensure_index([
("BAMBOO_RESERVED_KEY_dataset_id", ASCENDING),
("BAMBOO_RESERVED_KEY_dataset_observation_id", ASCENDING)])
observations.ensure_index([
("BAMBOO_RESERVED_KEY_dataset_observation_id", ASCENDING)])
calculations.ensure_index([("BAMBOO_RESERVED_KEY_dataset_id", ASCENDING)])
def ensure_indexing():
"""Ensure that bamboo models are indexed."""
db = Database.db()
# collections
calculations = db.calculations
datasets = db.datasets
observations = db.observations
# indices
bamboo_index(datasets, DATASET_ID)
bamboo_index(observations, ENCODED_DATASET_ID)
bamboo_index(observations, Observation.ENCODING_DATASET_ID)
bamboo_index(calculations, DATASET_ID)
def __create_database(self):
Database.db(TEST_DATABASE_NAME)
def __create_database(self):
Database.db(TEST_DATABASE_NAME)