Storing 4M+ json snippets

[unixman]

It depends what you want to do with them, but Linux (if that is your platform) will have no trouble storing 4 million json files in a single directory. Better to break them into multiple directories though. Easier to handle and gives a little flexibility with regards to backups etc.

As for the 12 million images, at the platform level, same applies, except the storage requirement will be large, eg 12 TB if each image is 1 MB in size.

[darrylmg]

Hi all,

I have a script that generates 4 million + snippets of json code.
What would you agree on on being the best way to store them?

I have considered:
- json files - way too many even if split in subfolders
- mongo DB
- mySQL with json type field

The aim is to be able to easy retrieve them for processing later.
Language is python.

Bonus question: each of these 4m+ json will have 10-15 images related to it. Where and how do you store the images?

We don't know how your app works.
If you access the image first and then go looking for the related json, then you could embed the json in the image and save doing the subsequent lookup.
Google for "steganography".

[OwlHoot]

Hi all,

I have a script that generates 4 million + snippets of json code.
What would you agree on on being the best way to store them?

I have considered:
- json files - way too many even if split in subfolders
- mongo DB
- mySQL with json type field

The aim is to be able to easy retrieve them for processing later.
Language is python.

Bonus question: each of these 4m+ json will have 10-15 images related to it. Where and how do you store the images?

If you want to pack them away in the database pronto, but aren't too bothered about retrieval speed, then Cassandra would be a good choice.

Edit: It's free (open source) and by now fairly mature

[BigDataPro]

Come out of old school and consider using

- Azure Data Lake Storage (Gen2)
- AWS S3
- GCP Cloud Storage / Filestore.

If you want to keep a copy without your permission and without being charged then go for Alibaba Cloud

[Hobosapien]

Azure Table Storage for the Json snippets.
Azure Blob container for the images.

Link the json to the images using columns in the Azure table (one column for each image blob key).

Use Python via Azure Functions to manipulate the data if want 'serverless'. i.e. M$ handle the infrastructure, availability, backup. Though regular sycing to a local or alternative cloud backup is a good idea.

Not sure how much it may cost, so use the Azure pricing calculator based on your estimates for an idea.

Sorted.

[TheGreenBastard]

Postgres + JSONB

[minestrone]

Ive done this exact same thing with cloud storage, both on azure and S3.

About 600k folders with about 10 images and 15 json files in each.

[minestrone]

Hi SAS

[_V_]

I would vote for MongoDB in this use case. Because BSON is the native format of documents stored in MongoDB, you can parse this and store in MongoDB as a queryable object.

Of course if you just want to store them as strings you can choose pretty much any SQL database you like. One option if you don't want a server based DB is to insert them into a local SQLite database.

SQLite Home Page

[eek]

Your bonus question gives you the only 1 sane answer to your question but you haven't got there yet.

[anim]

Hi all,

I have a script that generates 4 million + snippets of json code.
What would you agree on on being the best way to store them?

I have considered:
- json files - way too many even if split in subfolders
- mongo DB
- mySQL with json type field

The aim is to be able to easy retrieve them for processing later.
Language is python.

Bonus question: each of these 4m+ json will have 10-15 images related to it. Where and how do you store the images?