Guide to Developing an Application with the Native Apps Framework in Snowflake

Snowflake’s Native Apps Framework is the best for building powerful platforms for building and running applications within the Snowflake ecosystem. It’s designed to integrate with your data, allowing you to develop apps that can process, analyse, and serve data without requiring complex external systems.

Snowflake’s framework offers a strong foundation for both hybrid mobile app development and cross-platform mobile app development, providing efficient solutions. Whether you are building a basic tool or a large-scale application for users, Snowflake offers flexibility and scalability.

Let’s check the details and learn the steps for creating a Snowflake Native App.

Setting Up the Development Environment in Snowflake (Prerequisites)

• A Snowflake account with necessary permissions.
• A Python development environment (e.g., Anaconda, PyCharm).
• The Snowflake Connector for Python installed: pip install snowflake-connector-python

Steps to Follow!

1. Create a Snowflake warehouse and database: This will provide your application’s computational resources and storage.
2. Configure authentication: Set up a user or service principal with appropriate roles to access your Snowflake environment.
3. Install the Snowflake Connector: Use pip to install the connector in your Python environment.
4. Create a virtual environment: This reduces your project dependencies and ensures compatibility.

Creating the Application Files in Snowflake

• yml: Defines project configuration (e.g., warehouse, database, authentication).
• py: Contains the core application logic.
• sql: Loads data into Snowflake tables.
• py: Houses Python functions used by the application.

Example snowflake.yml:

YAML

account: <your_account_name>

user: <your_user_name>

password: <your_password>

warehouse: <your_warehouse_name>

database: <your_database_name>

schema: <your_schema_name>

Note: This is just a reference code. Use it with caution.

Understanding the Project Definition File (snowflake.yml) in Snowflake

The snowflake.yml file is crucial for configuring your Snowflake environment. It specifies:

• Account name
• Username and password
• Warehouse name
• Database and schema names

This information is used by the Snowflake Connector to connect to your Snowflake account and execute SQL queries.

Building Core Application Logic

The main.py file contains the core logic of your application. This might involve:

• Creating Snowflake objects (e.g., tables, procedures)
• Executing SQL queries
• Calling Python functions
• Interacting with other Snowflake components (e.g., UDFs, stored procedures)

Example main.py

Python

import snowflake.connector

# Connect to Snowflake

conn = snowflake.connector.connect(

    account=config[‘account’],

    user=config[‘user’],

    password=config[‘password’],

    warehouse=config[‘warehouse’],

    database=config[‘database’],

    schema=config[‘schema’]

)

# Create a table

cursor = conn.cursor()

cursor.execute(“CREATE TABLE my_table (id INT, name VARCHAR)”)

# Insert data

cursor.execute(“INSERT INTO my_table VALUES (1, ‘Alice’)”)

# Close the connection

conn.close()

Note: This is just a reference code. Use it with caution.

Adding Data Content to Your Snowflake Native App

The data.sql file contains SQL statements to load data into your Snowflake tables. You can use DML statements (e.g., INSERT, UPDATE, DELETE) to populate your data.

Example data.sql

SQL

INSERT INTO my_table VALUES (2, ‘Bob’);

INSERT INTO my_table VALUES (3, ‘Charlie’);

Note: This is just a reference code. Use it with caution.

Integrating Python Code into Your Snowflake Native Application

You can create Python functions in the python_functions.py file and call them from your main.py file. This allows you to leverage Python’s capabilities for complex data processing and analysis.

Example python_functions.py

Python

def greet(name):

  return f”Hello, {name}!”

Use code with caution.

Example usage in main.py

Python

from python_functions import greet

name = “Henry”

greeting = greet(name)

print(greeting)

Note: This is just a reference code. Use it with caution.

Versioning Your Application in Snowflake

Consider using a version control system (Git) to track changes to your application files. This helps you manage different versions, collaborate with others, and revert to previous states if needed.

Testing & Viewing Your App in Snowsight

• Test your application: Run your py file to ensure it executes as expected.
• View results in Snowsight: Use Snowsight to explore your Snowflake environment and inspect the data loaded by your application.

By following these steps and leveraging the capabilities of the Snowflake Connector for Python, you can effectively develop and deploy your Snowflake native applications.

Conclusion

Snowflake’s Native Apps Framework enables you to create robust applications within the Snowflake platform. It smoothly integrates with your data, allowing for the creation of apps for processing, analysis, and data sharing – all while using Snowflake.

This guide has provided a roadmap for creating your own Snowflake Native App. With its flexibility and scalability, Snowflake can handle anything from small tools to large-scale user applications.

Ready to get started? Reach out to FuturByte to kick off your native app development with Snowflake’s Native Apps Framework!

Frequently Asked Questions – FAQs