WebJun 7, 2012 · By default, the indexes in MongoDB are B-Trees. Searching a B-Tree is a O(logN) operation, so even find({_id:...}) will not provide constant time, O(1) responses. That stated, you can also sort by the _id if you are using ObjectId for you IDs. See here for details. Of course, even that is only good to the last second. You may to resort to ... WebAug 5, 2015 · Well the clear an obvious case here is to use .skip () as a modifier along with .limit () in order to implement "paging" of data: collection.find ( {}, { "limit": 5, "skip": 5 * req.body.requestCount }, function But better still if you are just processing in batches, just filter out the range you have already seen.
How To Use MongoDB in a Flask Application
Web2 hours ago · I am trying to fetch records from MongoDB database using the following Node js code const getBirthDaysPromise = (date,month) => { return new Promise((resolve,reject) => { ... Not able to create a mesh from data in obj format using python api Decline promotion because of teaching load more hot questions WebFeb 16, 2024 · 1 Answer. Sorted by: 2. Create your fs variable like before, and: data = fs.get_last_version (filename).read () You could also query for a list of files like: from bson import Regex for f in fs.find ( {'filename': Regex (r'.*\. (png jpg)')): data = f.read () Also, a comment about your code: it's very slow to recreate the MongoClient and GridFS ... celebrating christmas in heaven
How to read data from REST API and insert data in to MongoDB using Python?
WebSep 12, 2024 · 1 Answer Sorted by: 1 Try our prototype BSON-NumPy library. It avoids the overhead of PyMongo (which must translate documents to dicts before you translate them to rows in a NumPy array), and also the overhead of Monary (which slows down on large documents due to an n-squared algorithm that matches field names to NumPy columns). WebAug 17, 2015 · from pymongo import Connection from bson.objectid import ObjectId connection = Connection () server="localhost" port = 27017 connection =Connection (server , port) db = connection.flipkart connection = db.flipitems connection.remove ( {'name':None}) for post in connection.find (): print post ['_id':'ObjectId'] seller_name = post ['seller_name'] … Web1 Answer. Sorted by: 32. You can read data from file and insert it into collection using insert_one method: import json from pymongo import MongoClient client = MongoClient ('localhost', 27017) db = client ['countries_db'] collection_currency = db ['currency'] with open ('currencies.json') as f: file_data = json.load (f) # if pymongo < 3.0, use ... celebrating christmas in america