To bulk insert a list of Pydantic models using SQLAlchemy, you can follow these steps:

Define your Pydantic model with the required fields. For example, let's say you have a model called User:

Define a SQLAlchemy table that matches the fields of your Pydantic model:

from sqlalchemy import Table, Column, Integer, String, MetaData

    Column('id', Integer, primary_key=True),

Convert the list of Pydantic models to a list of dictionaries:

    {"id": 1, "name": "John Doe", "email": "john.doe@example.com"},

    {"id": 2, "name": "Jane Doe", "email": "jane.doe@example.com"},

Use SQLAlchemy's insert() method to insert the data into the table in bulk:

insert_statement = insert(users).values(users_data)

This will insert the data in bulk into the users table using SQLAlchemy. Note that you will need to have an active database connection (conn) to execute the insert statement.

In this article we will know how to bulk insert Pydantic list using SQLAlchemy.

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