The bulletin board is scraped and stored in MongoDB with Python pymongo. We would like to add data if it is missing or update it if it exists and the values are different. How can I do this? Previous Code…
I have a very small test base, with 5 documents and 4 arguments. I want to update these documents when importing a new file (add new fields, replace old values with new ones) during the JSON file import process. Previously,…
I have a collection in this format: { "place":"land", "animal":"Tiger", "name":"xxx" }, { "place":"land", "animal":"Lion", "name":"yyy" } I want to result to be something like this: { "place":"land". "animals":{"Lion":"yyy", "Tiger":"xxx"} } I wrote the below query. I think there needs…
I have a MongoDB document with the following attributes: { "label": [ "ibc", "ibd", "ibe" ], "location": "vochelle st" } and I have to return the document only if the documents label exactly matches the given array i.e., ["ibc","ibd"] and…
I have Docs in mongo DB in the following format - Here outerTimestamp is in string format and Price is int format { "_id":"ObjectId(""622f950e73043487031bb3ee"")", "outerTimeStamp" : "14-Mar-2022", "filtered":{ "data":[ { "Price":14350, "expiryDate":"17-Mar-2022", "info1":{ "Price":14350, "expiryDate":"17-Mar-2022", }, "info2":{ "Price":14350, "expiryDate":"17-Mar-2022" }…
I have a series of celery workers which carry out tasks, stored using REDIS; in particular I have three categories of workers which respectively carry out three categories of tasks. The tasks belonging to each of these categories require access…
This is my code from telegram.ext import Updater, CommandHandler import os from pymongo import MongoClient TOKEN = 'TOKEN' def get_db(update, context): cluster = MongoClient("mongodb+srv://testing:[email protected]/test?retryWrites=true&w=majority") result = list(cluster.get_database('DBNAME')['COLLECTIONNAME'].find({})) update.message.reply_text(str(result)) def main(): updater = Updater(TOKEN, use_context=True) dp = updater.dispatcher dp.add_handler(CommandHandler("getdb", get_db)) updater.start_webhook(listen="#.#.#.#",…
I have (900k, 300) records on mongo collection. When i am trying to read the data to pandas the memory consumption increase dramatically till the process is Killed. I have to mention that the data is fit to memory(1.5GB~) if…