After running the mongodb docker image I created a database called MovieFlix and some collections with items inside the database.
What I want is to find a way to store all the data from the MovieFlix db in a json file to have it saved for later user for docker-compose.
Should I do it with python code using pymongo or is there a simpler way ?
Mongodb has a command line tool for exporting to json or csv. The keyword for this is dump. Hope it helps!
Related
I need to import JSON data from an API to MySQL database using python. I can get the json data in python script but no idea how to insert this data to a mysql database.
finally, did it. Saved the JSON file locally first, then parsed it using key values in a for loop & lastly ran a query to insert into MySQL table.
Serializing JSON to string and insert string to DB, and make it Deserializing when you want to use it. I use this method but I don't know if it is optimum
Working With JSON Data in Python
I download the some of pdf and stored in directory. Need to insert them into mongo database with python code so how could i do these. Need to store them by making three columns (pdf_name, pdf_ganerateDate, FlagOfWork)like that.
You can use GridFS. Please check this URL.
It will help you to store any file to mongoDb and get them. In other collection you can save file metadata.
I am working on flask and mongodb. I am new to mongodb, I realized that mongodb do not let me insert json file to database, the file size is greater than 16mb
Is there any other database that is similar to mongodb (JSON object based) ?
Thank You
You can make use of PostgreSQL also for json kind of data to store, based on your Application requirements.
Please refer their official documentation for more information.
Hope the below links can be useful.
1.Postgre Data Types
2.Postgre SQL and Json
In portia, I want to save the data to the database like Mysql or do something to clean the data, but I don't know how to do that, can you give me some suggestion.
I'm new in scrapy, and I'll wait online, thank you very much!
You need to add a new item processing pipeline for storing data to MySQL. To do this you need to go to the Portia project folder, add a new pipelines.py file that can save data to MySQL and edit the settings.py file to use this pipeline.
Here is an example of an item pipeline for storing data in MySQL
https://github.com/darkrho/dirbot-mysql/blob/master/dirbot/pipelines.py#L36
Here is the documentation on how to enable the pipeline and how it works
http://doc.scrapy.org/en/latest/topics/item-pipeline.html
I have a lot of data from an excel sheet and I used python to read that data with xlrd and am now outputting all of that data from python. My question is, how do I take that data that I am outputting through python, and upload it on MongoDB. I understand that pymongo must be used, but am not quite sure how to do it. Any help is greatly appreciated.
Let's assume you've read the tutorials but still don't get it...
You'll need to convert your xlrd data into a list of dictionaries, one dictionary for each row in your spreadsheet. Here's a clue: Python Creating Dictionary from excel data
Once you have the list of dictionaries/rows, make sure you have MongoDB running on your machine, then:
from pymongo import MongoClient
db = MongoClient().mydb # create a database called 'mydb'
for row_dict in list_of_rows:
db.rows.save(row_dict) # saves each row in collection called "rows"