What is memoization?

Yes, experience with storing and processing data in JSON format in databases is quite common.

Modern DBMSs such as PostgreSQL, MySQL, MongoDB support JSON through data types and functions for working with them.

For example, PostgreSQL has data types json and jsonb (binary JSON format), which allow storing structured data and performing queries with filtering by keys, updating nested values, and indexing.

Example of inserting JSON into PostgreSQL:

INSERT INTO users (data) VALUES ('{"name": "Ivan", "age": 30, "skills": ["Python", "SQL"]}');

In Python, the json module is commonly used for serialization and deserialization:

import json

# Example Python dictionary
user = {
    "name": "Ivan",
    "age": 30,
    "skills": ["Python", "SQL"]
}

# Serialization to JSON
user_json = json.dumps(user)

# Deserialization from JSON
user_obj = json.loads(user_json)

When working with databases, these approaches are often combined: serialize objects into JSON and store them in appropriate fields, or use drivers and ORMs that support working with JSON directly.

It is also important to consider indexing features and performance when working with large JSON documents in a database.