pydantic-databricks 0.2.0

Databricks helpers for Pydantic models

Pydantic Databricks

Overview

This library leverages Pydantic to simplify the generation of Databricks SQL queries for managing tables. It provides a convenient way to define table schemas using Pydantic models and generates corresponding SQL statements.

Installation

pip install pydantic-databricks

Usage

1. Basic Example Table Creation

from pydantic_databricks.models import DatabricksModel
from pyspark.sql import SparkSession

spark = SparkSession.builder.getOrCreate()

class Schema(DatabricksModel):
    _table_name = "test"
    _schema_name = "test_schema"
    
    col1: str
    col2: int
    col3: float
    
spark.sql(Schema.create_table())

Generated SQL:

CREATE TABLE test_schema.test (col1 STRING, col2 BIGINT, col3 DOUBLE) USING DELTA; 

Currently Supported Options

• _catalog_name: The catalog name for the table. Default is None. If None then a two part namespace is used.
• _schema_name: The schema name for the table (required).
• _table_name: The name of the table (required).
• _grants: A set of Grant objects. Default is None.
• _location_prefix: The location prefix for external tables. Default is None. If set, then the table is created as an external table.
• _table_properties: A dictionary of table properties.
• _table_create_mode: The mode for table creation. Default is CreateMode.CREATE.
• _table_data_source: The data source for the table. Default is DataSource.DELTA.
• _partition_columns: A list of partition columns for the table. Default is None.
• _options: A dictionary of additional options for table creation. Default is None.
• _comment: A comment for the table. Default is None.

Coming soon

• Support for table and column constraints
• Support for creating grant statements

Contributing

We welcome contributions to pydantic-databricks! If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Create a branch for your feature or bug fix.
3. Make your changes.
4. Test your changes thoroughly.
5. Submit a pull request.

License

• pydantic-databricks is licensed under the MIT License. See LICENSE for more information