I have a database as below. [ { "title": "Data 1", "slug": "data-1", "sub_docs": [ { "name": "Sub Doc 1", "sub_slug": "sub-doc-1", "urls": [ "https://example.com/path-1", ] }, { "name": "Sub Doc 2", "sub_slug": "sub-doc-2", "urls": [ "https://example.com/path-2" ] }, {…
I have a mongo collection that contains data like: {'email': '[email protected]'} {'email': '[email protected]'} {'email': '[email protected]'} I want to get the the result of email that is [email protected] and [email protected], eg: [{'email':'test1gmail.com'},{'email':'test2gmail.com'}] is there a way I can do this with…
I have a large amount of data in a collection in mongodb which I need to analyze, using pandas and pymongo in jupyter. I am trying to import specific data in a dataframe. Sample data. { "stored": "2022-04-xx", ... ...…
I am trying to fetch data based on filter based queries. Right now I am using filter_stuff = {'url': 1, 'organization_name': 1, 'hum_pred':1, 'ml_pred':1, '_id': 0} myData = list(crawlcol.find({'hum_pred': 'null'}, filter_stuff)) This will fetch data where hum_pred have values null.…
I have a mongo database having data record like below [ {"name" : "a", "email" : "[email protected]","ml_pred":"valid","hum_pred":"null", "score":0.92}, {"name" : "b","email" : "[email protected]","ml_pred":"invalid","hum_pred":"null", "score":0.2}, {"name" : "c","email" : "[email protected]","ml_pred":"null","hum_pred":"null"}, {"name" : "d","email" : "[email protected]","ml_pred":"null","hum_pred":"null"}, {"name" : "e","email" : "[email protected]","ml_pred":"null","hum_pred":"null"} ]…
How do we enable PyMongo to read from the nearest? This field db.read_preference is read-only now. from pymongo import ReplicaSetConnection from pymongo import ReadPreference db = ReplicaSetConnection('localhost:27017', replicaSet='rs1')['my_db'] db.read_preference = ReadPreference.NEAREST db.tag_sets = [{'secondaries': 1}]
I'm working on a Discord bot that saves some data to a mongodb database in response to some user commands. The weird thing is it works on repl.it, but I get this error on SparkedHost. I'm getting an odd error…
I have collection like this: mc.db.collection.insert_many([ {"key_array": [1], "another_array": ["a"]}, {"key_array": [2, 3], "another_array": ["b"]}, {"key_array": [4], "another_array": ["c", "d"]}, ]) And I'm using this kind of updates: mc.db.collection.update_one( {"key_array": 5}, {"$addToSet": {"another_array": "f"}}, upsert=True ) It works good with…
As the title suggests, I have a document that contains an array of objects (comments) within an array of objects (notes). Users can comment on each note, but I'm also trying to add a delete function to remove the comments…
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…