import pymongo import bson import random class TestPerformance(): ''' Class for testing performance of representation and their 'files' parts. Discussion is if embedded array: 'files' : [ {'_id': '1111', 'path':'....}, {'_id'...}] OR documents: 'files' : { '1111': {'path':'....'}, '2222': {'path':'...'} } is faster. Current results: without additional partial index documents is 3x faster With index is array 50x faster then document Partial index something like: db.getCollection('performance_test').createIndex ({'files._id': 1}, {partialFilterExpresion: {'files': {'$exists': true}}) !DIDNT work for me, had to create manually in Compass ''' MONGO_URL = 'mongodb://localhost:27017' MONGO_DB = 'performance_test' MONGO_COLLECTION = 'performance_test' inserted_ids = [] def __init__(self, version='array'): ''' It creates and fills collection, based on value of 'version'. :param version: 'array' - files as embedded array, 'doc' - as document ''' self.client = pymongo.MongoClient(self.MONGO_URL) self.db = self.client[self.MONGO_DB] self.collection_name = self.MONGO_COLLECTION self.version = version if self.version != 'array': self.collection_name = self.MONGO_COLLECTION + '_doc' self.collection = self.db[self.collection_name] self.ids = [] # for testing self.inserted_ids = [] def prepare(self, no_of_records=100000): ''' Produce 'no_of_records' of representations with 'files' segment. It depends on 'version' value in constructor, 'arrray' or 'doc' :return: ''' print('Purging {} collection'.format(self.collection_name)) self.collection.delete_many({}) id = bson.objectid.ObjectId() insert_recs = [] for i in range(no_of_records): file_id = bson.objectid.ObjectId() file_id2 = bson.objectid.ObjectId() file_id3 = bson.objectid.ObjectId() self.inserted_ids.extend([file_id, file_id2, file_id3]) document = {"files": self.get_files(self.version, i, file_id, file_id2, file_id3) , "context": { "subset": "workfileLookdev", "username": "petrk", "task": "lookdev", "family": "workfile", "hierarchy": "Assets", "project": {"code": "test", "name": "Test"}, "version": 1, "asset": "Cylinder", "representation": "mb", "root": "C:/projects" }, "dependencies": [], "name": "mb", "parent": {"oid": '{}'.format(id)}, "data": { "path": "C:\\projects\\Test\\Assets\\Cylinder\\publish\\workfile\\workfileLookdev\\v001\\test_Cylinder_workfileLookdev_v001.mb", "template": "{root}\\{project[name]}\\{hierarchy}\\{asset}\\publish\\{family}\\{subset}\\v{version:0>3}\\{project[code]}_{asset}_{subset}_v{version:0>3}<_{output}><.{frame:0>4}>.{representation}" }, "type": "representation", "schema": "pype:representation-2.0" } insert_recs.append(document) print('Prepared {} records in {} collection'. format(no_of_records, self.collection_name)) self.collection.insert_many(insert_recs) # TODO refactore to produce real array and not needeing ugly regex self.collection.insert_one({"inserted_id": self.inserted_ids}) print('-' * 50) def run(self, queries=1000, loops=3): ''' Run X'queries' that are searching collection Y'loops' times :param queries: how many times do ..find(...) :param loops: loop of testing X queries :return: None ''' print('Testing version {} on {}'.format(self.version, self.collection_name)) inserted_ids = list(self.collection. find({"inserted_id": {"$exists": True}})) import re self.ids = re.findall("'[0-9a-z]*'", str(inserted_ids)) import time found_cnt = 0 for _ in range(loops): start = time.time() for _ in range(queries): val = random.choice(self.ids) val = val.replace("'", '') if (self.version == 'array'): # prepared for partial index, without 'files': exists # wont engage found = self.collection.\ find_one({'files': {"$exists": True}, 'files._id': "{}".format(val)}) else: key = "files.{}".format(val) found = self.collection.find_one({key: {"$exists": True}}) if found: found_cnt += 1 end = time.time() print('duration per loop {}'.format(end - start)) print("found_cnt {}".format(found_cnt)) def get_files(self, mode, i, file_id, file_id2, file_id3): ''' Wrapper to decide if 'array' or document version should be used :param mode: 'array'|'doc' :param i: step number :param file_id: ObjectId of first dummy file :param file_id2: .. :param file_id3: .. :return: ''' if mode == 'array': return self.get_files_array(i, file_id, file_id2, file_id3) else: return self.get_files_doc(i, file_id, file_id2, file_id3) def get_files_array(self, i, file_id, file_id2, file_id3): return [ { "path": "c:/Test/Assets/Cylinder/publish/workfile/" "workfileLookdev/v001/" "test_CylinderA_workfileLookdev_v{0:03}.mb".format(i), "_id": '{}'.format(file_id), "hash": "temphash", "sites": ["studio"], "size":87236 }, { "path": "c:/Test/Assets/Cylinder/publish/workfile/" "workfileLookdev/v001/" "test_CylinderB_workfileLookdev_v{0:03}.mb".format(i), "_id": '{}'.format(file_id2), "hash": "temphash", "sites": ["studio"], "size": 87236 }, { "path": "c:/Test/Assets/Cylinder/publish/workfile/" "workfileLookdev/v001/" "test_CylinderC_workfileLookdev_v{0:03}.mb".format(i), "_id": '{}'.format(file_id3), "hash": "temphash", "sites": ["studio"], "size": 87236 } ] def get_files_doc(self, i, file_id, file_id2, file_id3): ret = {} ret['{}'.format(file_id)] = { "path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/" "v001/test_CylinderA_workfileLookdev_v{0:03}.mb".format(i), "hash": "temphash", "sites": ["studio"], "size": 87236 } ret['{}'.format(file_id2)] = { "path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/" "v001/test_CylinderB_workfileLookdev_v{0:03}.mb".format(i), "hash": "temphash", "sites": ["studio"], "size": 87236 } ret['{}'.format(file_id3)] = { "path": "c:/Test/Assets/Cylinder/publish/workfile/workfileLookdev/" "v001/test_CylinderC_workfileLookdev_v{0:03}.mb".format(i), "hash": "temphash", "sites": ["studio"], "size": 87236 } return ret if __name__ == '__main__': tp = TestPerformance('array') tp.prepare() # enable to prepare data tp.run(1000, 3) print('-'*50) tp = TestPerformance('doc') tp.prepare() # enable to prepare data tp.run(1000, 3)