MongoDB Document Loader - loaddummydata

This Python script loads documents into a MongoDB database. It uses the loaddata module to manage the loading process.

Requirements

• Python 3
• pymongo library
• faker library
• tqdm library
• datetime library

Usage

The script is run from the command line and takes the following arguments:

• --uri: The MongoDB connection URL.
• --database: The name of MongoDB target database.
• --collection: The name of MongoDB target collection.
• --deep: The array size of the documents - number of inner documents.
• --numdocs: The number of documents to be loaded.
• --batchsize: The number of documents to be loaded per batch.

Here's an example of how to run the script:

python load.py --uri mongodb://localhost:27017/ --database mydatabase --collection mycollection --deep 1000 --numdocs 500 --batchsize 100

This will load 500 documents into the mycollection collection of the mydatabase database at mongodb://localhost:27017/. Each document will have an array size of 1000 and the documents will be loaded in batches of 100.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.