class Events(Model): eventid = columns.Text(primary_key=True) url = columns.Text() title = columns.Text() description = columns.Text() start_time = columns.DateTime() stop_time = columns.DateTime() venue_id = columns.Text() venue_name = columns.Text() venue_address = columns.Text() city_name = columns.Text() region_name = columns.Text() postal_code = columns.Text() country_name = columns.Text() created = columns.DateTime() modified = columns.DateTime() links = columns.Map(columns.Text(), columns.Text()) categories = columns.Set(columns.Text()) tags = columns.Set(columns.Text()) images = columns.Set(columns.Text()) latitude = columns.Float() longitude = columns.Float() performers = columns.Set(columns.Text()) def __repr__(self): return '%s %s' % (self.eventid, self.title)
class ads_table(Model): ad_id = columns.BigInt(primary_key = True) actions_per_impression = columns.Float() clicks = columns.Float() cost_per_unique_click = columns.Float() date_start = columns.Text(primary_key = True) date_end = columns.Text()
class Event(BaseModel): user_id = columns.Text(primary_key=True) # partition key event_id = columns.UUID(primary_key=True, default=uuid.uuid4) date_start = columns.DateTime() end_date = columns.DateTime() description = columns.Text() rrule_id = columns.UUID() latitude = columns.Float() longitude = columns.Float()
class joined_table(Model): account_id = columns.BigInt(primary_key=True) ad_group_id = columns.BigInt(primary_key=True) bid_type = columns.Text() clicks = columns.Float() cost_per_unique_click = columns.Float() cost_per_result = columns.Float() reach = columns.Integer() result_rate = columns.Float() date_start = columns.Text()
class adsinfo(Model): ad_id = columns.BigInt(primary_key=True) actions_per_impression = columns.Float() clicks = columns.Float() cost_per_unique_click = columns.Float() cost_per_result = columns.Float() result_rate = columns.Float() reach = columns.Integer() date_start = columns.Text(primary_key=True) date_stop = columns.Text()
class bid_table(Model): account_id = columns.BigInt(primary_key=True) ad_group_id = columns.BigInt(primary_key=True) bid_actions = columns.Float() bid_clicks = columns.Float() bid_impressions = columns.Float() bid_reach = columns.Float() bid_social = columns.Float() bid_type = columns.Text() target_max_age = columns.Integer() target_min_age = columns.Integer() target_gender = columns.Integer() target_country = columns.Text()
class GithubEvent(MBase): id = columns.BigInt(primary_key=True) type = columns.Text() actor = columns.Text() org = columns.Text() repo = columns.Text() created_at = columns.Float() payload = columns.Text()
class movieCatalog2(Model): from cqlengine import columns from cqlengine.models import Model from cqlengine import connection from cqlengine.management import sync_table CASSANDRA_KEYSPACE = "playground" pid = columns.Integer(primary_key=True) asin = columns.Text(primary_key=True) brand = columns.Text() imUrl = columns.Text() price = columns.Float() title = columns.Text()
class predictions3(Model): user = columns.Integer(primary_key=True) product = columns.Integer() rating = columns.Float(primary_key=True, clustering_order="DESC")
class stock_counts_batch(Model): user = columns.Text(primary_key=True) company = columns.Text(primary_key=True) stock_total = columns.Integer() portfolio_ratio = columns.Float() contact_limit = columns.Float()
class userprofile9(Model): uid = columns.Integer(primary_key=True) reviewerid = columns.Text() reviewername = columns.Text() numofreviews = columns.Float() ratings = columns.Map(columns.Text, columns.Float)
class GDP(Model): __keyspace__ = "magicformula" __table_name__ = "gdp" key = columns.Text(primary_key=True) value = columns.Float() date = columns.Date()
class recommendations9(Model): uid = columns.Integer(primary_key=True) mid = columns.Integer(primary_key=True) rating = columns.Float()
class cost_table(Model): bid_type = columns.Text(primary_key=True) cost_per_result = columns.Float() cost_per_action = columns.Float()
class reviewerProfile(Model): user = columns.Integer(primary_key=True) product = columns.Integer(primary_key=True) rating = columns.Float(primary_key=True, clustering_order="DESC")