class DatasetManager(object): """ Handle all dataset related data """ def __init__(self, config=dict()): self.logger = logging.getLogger(__name__) self.config = config self.phedex = PhEDExService(self.config) self.dbs = DBSService(self.config) self.storage = StorageManager(self.config) self.sites = SiteManager(self.config) self.valid_tiers = config['tools']['valid_tiers'].split(',') self.MAX_THREADS = int(config['threading']['max_threads']) def initiate_db(self): """ Initiate dataset data in database Get general data and popularity data from beginning """ q = Queue.Queue() for i in range(self.MAX_THREADS): worker = threading.Thread(target=self.insert_dataset_data, args=(i, q)) worker.daemon = True worker.start() active_sites = self.sites.get_active_sites() api = 'blockreplicas' params = [('node', active_sites), ('create_since', 0.0), ('complete', 'y'), ('dist_complete', 'y'), ('group', 'AnalysisOps'), ('show_dataset', 'y')] t1 = datetime.datetime.utcnow() phedex_data = self.phedex.fetch(api=api, params=params) t2 = datetime.datetime.utcnow() td = t2 - t1 self.logger.info('Call to PhEDEx took %s', str(td)) count = 1 t1 = datetime.datetime.utcnow() for dataset_data in get_json(get_json(phedex_data, 'phedex'), 'dataset'): q.put((dataset_data, count)) count += 1 q.join() t2 = datetime.datetime.utcnow() td = t2 - t1 self.logger.info('Inserting dataset data took %s', str(td)) self.logger.info('Done inserting datasets into DB') def update_db(self): """ Get datasets currently in AnalysisOps and compare to database Deactivate removed datasets and insert new Update replicas """ # get all datasets in database dataset_names = self.get_db_datasets() dataset_names = set(dataset_names) # get all active sites, only fetch replicas from these active_sites = self.sites.get_active_sites() api = 'blockreplicas' params = [('node', active_sites), ('create_since', 0.0), ('complete', 'y'), ('group', 'AnalysisOps'), ('show_dataset', 'y')] t1 = datetime.datetime.utcnow() phedex_data = self.phedex.fetch(api=api, params=params) t2 = datetime.datetime.utcnow() td = t2 - t1 self.logger.info('Call to PhEDEx took %s', str(td)) current_datasets = set() q = Queue.Queue() for i in range(self.MAX_THREADS): worker = threading.Thread(target=self.insert_dataset_data, args=(i, q)) worker.daemon = True worker.start() count = 1 t1 = datetime.datetime.utcnow() for dataset_data in get_json(get_json(phedex_data, 'phedex'), 'dataset'): dataset_name = get_json(dataset_data, 'name') current_datasets.add(dataset_name) if dataset_name not in dataset_names: # this is a new dataset which need to be inserted into the database q.put((dataset_data, count)) count += 1 else: # update replicas replicas = self.get_replicas(dataset_data) coll = 'dataset_data' query = {'name':dataset_name} data = {'$set':{'replicas':replicas}} data = self.storage.update_data(coll=coll, query=query, data=data) q.join() deprecated_datasets = dataset_names - current_datasets for dataset_name in deprecated_datasets: self.remove_dataset(dataset_name) t2 = datetime.datetime.utcnow() td = t2 - t1 self.logger.info('Updating dataset data took %s', str(td)) self.logger.info('Done updating datasets in DB') def insert_dataset_data(self, i, q): """ Insert a new dataset into the database and initiate all data """ while True: data = q.get() dataset_data = data[0] count = data[1] self.logger.debug('Inserting dataset number %d', count) dataset_name = get_json(dataset_data, 'name') coll = 'dataset_data' query = {'name':dataset_name} data = {'$set':{'name':dataset_name}} data = self.storage.update_data(coll=coll, query=query, data=data, upsert=True) try: self.insert_phedex_data(dataset_name) self.insert_dbs_data(dataset_name) replicas = self.get_replicas(dataset_data) query = {'name':dataset_name} data = {'$set':{'name':dataset_name, 'replicas':replicas}} data = self.storage.update_data(coll=coll, query=query, data=data) except: coll = 'dataset_data' query = {'name':dataset_name} self.storage.delete_data(coll=coll, query=query) q.task_done() def insert_phedex_data(self, dataset_name): """ Fetch phedex data about dataset and insert into database """ api = 'data' params = {'dataset':dataset_name, 'level':'block', 'create_since':0.0} phedex_data = self.phedex.fetch(api=api, params=params) size_bytes = 0 n_files = 0 dataset_data = get_json(get_json(get_json(phedex_data, 'phedex'), 'dbs')[0],'dataset')[0] for block_data in get_json(dataset_data, 'block'): size_bytes += get_json(block_data, 'bytes') n_files += get_json(block_data, 'files') coll = 'dataset_data' query = {'name':dataset_name} data = {'$set':{'size_bytes':size_bytes, 'n_files':n_files}} self.storage.update_data(coll=coll, query=query, data=data, upsert=False) def insert_dbs_data(self, dataset_name): """ Fetch dbs data about dataset and insert into database """ api = 'datasets' params = {'dataset':dataset_name, 'detail':True, 'dataset_access_type':'*'} dbs_data = self.dbs.fetch(api=api, params=params) dataset_data = get_json(dbs_data, 'data')[0] ds_name = get_json(dataset_data, 'primary_ds_name') physics_group = get_json(dataset_data, 'physics_group_name') data_tier = get_json(dataset_data, 'data_tier_name') creation_date = datetime_day(timestamp_to_datetime(get_json(dataset_data, 'creation_date'))) ds_type = get_json(dataset_data, 'primary_ds_type') coll = 'dataset_data' query = {'name':dataset_name} data = {'$set':{'ds_name':ds_name, 'physics_group':physics_group, 'data_tier':data_tier, 'creation_date':creation_date, 'ds_type':ds_type}} self.storage.update_data(coll=coll, query=query, data=data, upsert=False) def get_replicas(self, dataset_data): """ Generator function to get all replicas of a dataset """ replicas_check = dict() dataset_name = get_json(dataset_data, 'name') for block_data in get_json(dataset_data, 'block'): for replica_data in get_json(block_data, 'replica'): try: replicas_check[get_json(replica_data, 'node')] += get_json(replica_data, 'files') except: replicas_check[get_json(replica_data, 'node')] = get_json(replica_data, 'files') replicas = list() n_files = self.get_n_files(dataset_name) for site, site_files in replicas_check.items(): if site_files == n_files: replicas.append(site) return replicas def get_db_datasets(self): """ Get all datasets currently in database """ coll = 'dataset_data' pipeline = list() match = {'$match':{'data_tier': {'$in':self.valid_tiers}}} pipeline.append(match) project = {'$project':{'name':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) dataset_names = [dataset_data['name'] for dataset_data in data] #self.logger.info('%d datasets present in database', len(dataset_names)) return dataset_names def get_removed_db_datasets(self): """ Get all datasets currently in database with more than one replica """ coll = 'dataset_data' pipeline = list() match = {'$match':{'data_tier': {'$in':self.valid_tiers}}} pipeline.append(match) group = {'$group':{'_id':'$name', 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'name':'$_id', 'n_replicas':1, '_id':0}} pipeline.append(project) match = {'$match': {'n_replicas':{'$gt':1}}} pipeline.append(match) project = {'$project':{'name':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) dataset_names = [dataset_data['name'] for dataset_data in data] #self.logger.info('%d valid datasets present in database', len(dataset_names)) return dataset_names def remove_dataset(self, dataset_name): """ Remove dataset from database """ coll = 'dataset_data' query = {'name':dataset_name} self.storage.delete_data(coll=coll, query=query) def get_dataset_features(self, dataset_name): """ Get dataset features for dataset from db """ coll = 'dataset_data' pipeline = list() match = {'$match':{'name':dataset_name}} pipeline.append(match) project = {'$project':{'dataset_name':'$name', 'size_gb':{'$multiply':['$size_bytes', 0.000000001]}, 'n_files':1, 'physics_group':1, 'ds_type':1, 'data_tier':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) return data[0] def get_n_files(self, dataset_name): """ Get the number of files in the block """ coll = 'dataset_data' pipeline = list() match = {'$match':{'name':dataset_name}} pipeline.append(match) project = {'$project':{'n_files':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) return data[0]['n_files'] def get_data_tiers(self, dataset_names): """ Get the data tiers of all datasets """ dataset_tiers = dict() coll = 'dataset_data' pipeline = list() match = {'$match':{'name':{'$in':dataset_names}}} pipeline.append(match) project = {'$project':{'data_tier':1, 'name':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) for dataset in data: dataset_tiers[dataset['name']] = dataset['data_tier'] return dataset_tiers def get_sites(self, dataset_name): """ Get all sites with a replica of the dataset """ coll = 'dataset_data' pipeline = list() match = {'$match':{'name':dataset_name}} pipeline.append(match) project = {'$project':{'replicas':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) site_names = data[0]['replicas'] return site_names def get_size(self, dataset_name): """ Get size in GB of dataset """ coll = 'dataset_data' pipeline = list() match = {'$match':{'name':dataset_name}} pipeline.append(match) project = {'$project':{'size_bytes':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) size_gb = float(data[0]['size_bytes'])/10**9 return size_gb def get_current_num_replicas(self): """ Get the current number of replicas for all datasets """ datasets = self.get_db_datasets() coll = 'dataset_data' pipeline = list() match = {'$match': {'name': {'$in':datasets}}} pipeline.append(match) group = {'$group':{'_id':'$name', 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'name':'$_id', 'n_replicas':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) return data def get_num_replicas(self, dataset_name): """ Get the current number of replicas for one dataset """ coll = 'dataset_data' pipeline = list() match = {'$match': {'name': dataset_name}} pipeline.append(match) group = {'$group':{'_id':'$name', 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'n_replicas':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) return data[0]['n_replicas'] def update_replicas(self, subscriptions, deletions): """ Maually update the replicas based on subscriptions and deletions """ coll = 'dataset_data' for subscription in subscriptions: dataset_name = subscription[0] site_name = subscription[1] query = {'name':dataset_name} data = {'$push':{'replicas':site_name}} self.storage.update_data(coll=coll, query=query, data=data) for deletion in deletions: dataset_name = deletion[0] site_name = deletion[1] query = {'name':dataset_name} data = {'$pull':{'replicas':site_name}} self.storage.update_data(coll=coll, query=query, data=data) def get_total_size(self, dataset_name): """ Get the total storage used in the system """ coll = 'dataset_data' pipeline = list() match = {'$match': {'name':dataset_name}} pipeline.append(match) group = {'$group':{'_id':'$name', 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'n_replicas':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) n_replicas = data[0]['n_replicas'] size_gb = self.get_size(dataset_name) total_size = n_replicas * size_gb return total_size def get_all_dataset_size(self, dataset_names): """ Get the total storage used in the system """ coll = 'dataset_data' pipeline = list() match = {'$match': {'name':{'$in':dataset_names}}} pipeline.append(match) group = {'$group':{'_id':'$name', 'size_bytes':{'$sum':'$size_bytes'}, 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'size_bytes':1, 'n_replicas':1, '_id':1}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) sizes = dict() for dataset in data: sizes[dataset['_id']] = (float(dataset['size_bytes'])/10**12)*dataset['n_replicas'] return sizes def get_all_site_size(self, site_names): """ Get the total storage used in the system """ sites_sizes = dict() for site_name in site_names: # get all datasets with a replica at the site and how many replicas it has coll = 'dataset_data' pipeline = list() match = {'$match':{'replicas':site_name}} pipeline.append(match) project = {'$project':{'name':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) dataset_names = [dataset_data['name'] for dataset_data in data] # get the popularity of the dataset and decide by number of replicas coll = 'dataset_data' pipeline = list() match = {'$match': {'name':{'$in':dataset_names}}} pipeline.append(match) group = {'$group':{'_id':'$name', 'size_bytes':{'$sum':'$size_bytes'}, 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'size_bytes':1, 'n_replicas':1, '_id':1}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) size = 0.0 for dataset in data: size += (float(dataset['size_bytes'])/10**12)*dataset['n_replicas'] sites_sizes[site_name] = size return sites_sizes def get_total_storage(self): """ Get the total storage used in the system """ datasets = self.get_removed_db_datasets() coll = 'dataset_data' pipeline = list() match = {'$match': {'name': {'$in':datasets}}} pipeline.append(match) group = {'$group':{'_id':'$name', 'size_bytes':{'$sum':'$size_bytes'}, 'n_replicas':{'$first':{'$size':'$replicas'}}}} pipeline.append(group) project = {'$project':{'name':'$_id', 'size_bytes':1, 'n_replicas':1, '_id':0}} pipeline.append(project) data = self.storage.get_data(coll=coll, pipeline=pipeline) total_storage = 0.0 for dataset in data: total_storage += (float(dataset['size_bytes'])/10**9)*dataset['n_replicas'] return total_storage