Book Image

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
5 (1)
Book Image

Snowflake Cookbook

5 (1)
By: Hamid Mahmood Qureshi, Hammad Sharif

Overview of this book

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.
Table of Contents (12 chapters)

Creating a Scalar user-defined function using SQL

Snowflake provides capabilities for creating UDFs that can extend the system and perform operations not available out of the box in Snowflake. Snowflake allows two languages for the creation of UDFs, SQL-based UDFs, and JavaScript-based UDFs. Either of the UDF types can return scalar or table results.

In this recipe, we will be walking you through the creation of SQL-based Scalar UDFs and demonstrating how to call the UDFs for various scenarios. A scalar UDF can return a single row of results consisting of a single column, which is essentially equivalent to returning a single value.

Getting ready

You will need to be connected to your Snowflake instance via the web UI or the SnowSQL client to execute this recipe.

How to do it...

We will be creating a series of UDFs to demonstrate the various SQL UDF capabilities provided by Snowflake. We will start by creating a relatively simple UDF and will slowly increase the complexity...