the code is as follows: recode1 = table_out.find ({}). Sort ([( "_ id ", 1)]) .limit (10000) print ( total: , recode1.count ()) directly understand that the number of count () given by print should be 10,000, but what is currently output is the tota...

there is a requirement in the project that a field extracted from the mongodb library at the level of tens of millions of records needs to be transferred to postgresql. because the mongodb is constantly updated, the data needs to be reversed at regular...

MongoDB database multi-table query data before, you could associate two tables with $lookup in Robo 3T . related codes db.users.aggregate([ { $match : { regDate : { "$gte" : ISODate("2018-05-01T00:00:00Z"), "$lt"...

the date format stored in MongoDB is 2018-07-01T00:00:00Z the environmental background of the problems and what methods you have tried related codes collection.find_one( { "regDate": { "$gte":ISO...

problem description 71 related codes 8.3 Update: -sharp def get_registered_paying_user(): unwind = { $unwind : $recharge } -sharp match1 = { $match : { regDate : regDate}} -sharp m...

problem description crawl the list of Amazon products, save the data into mongodb crawl the first page and pass the next page link to Request. You can get the next page link in shell but you can only see the first page of data in the database after...

problem description constant: number of active people, number of registrants, recharge amount, etc. proportion: proportion of paid people, proportion of lost users, etc. increase or decrease: the number of registered people rises year on year, the n...

[ { _id : ObjectId( 5abb4f9ca7e2c54c757b3e48 ), amount : 8400, buyerEmail : otzYzwMh24edWk8NxSJOqCSZREe0 , from : weixin , orderDate : datetime.datetime(2018, 3, 28, 8, 17, 28, 940000), orderid ...

user table associated with consumption table want to query the conditions of users who have not consumed for 3 months match2 by the way, how to optimize the following conditions? match0 = { $match : { regDate : { $gte : day_30, $lt : today}...

there are currently three collections user consume recharge just want to completely modify the User collection instead of creating a temporary collection like lookup, is there any efficient way, after all, there is a lot of data. currently used $repl...

found mergeObjects and replaceRoot aggregation methods in order to merge collections. examples of official documents are copied down and modified and found that there are no errors available, but there are a few areas that I do not understand. Ple...

def process_item(self, item, spider): print( ) print(item[ file_url ], item[ name ]) key_word = {"file_url": item[ file_url ], "name": item[ name ]} res = self.db.find(key_word) if...

def process_item(self, item, spider): print( ) print(item[ file_url ], item[ name ]) key_word = {"file_url":item[ file_url ] , "name": item[ name ]} res = self...

{ "_id" : ObjectId("5bd6c4f3c3474d25ef31e224"), "unique_charcter" : [ "FqT9lRq7wdoSqjbfvQALU7mf4R0M" ], "name" : "-_2017-2018.3-14.pdf" } { "_id" : ObjectId("5bd6c4f3c3474d25ef31e...

def getuser(): users = user.find({ totalRecharge : { $gt : 0}, $or : [ { recharge.from : weixin }, { recharge.from : alipay }, { recharge.from : { $ne : jCode }}, ...

I run the single file directly without import errors. In addition, it is normal for me to use mongodb in the py file alone, but when I run it in the scrapy project, I will say that the import failed. Why? import json import pymongo from scrapy.utils.pr...