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Snowflake Cookbook

You're reading from   Snowflake Cookbook Techniques for building modern cloud data warehousing solutions

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800560611
Length 330 pages
Edition 1st Edition
Languages
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Authors (2):
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Hamid Mahmood Qureshi Hamid Mahmood Qureshi
Author Profile Icon Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
Hammad Sharif Hammad Sharif
Author Profile Icon Hammad Sharif
Hammad Sharif
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Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Snowflake 2. Chapter 2: Managing the Data Life Cycle FREE CHAPTER 3. Chapter 3: Loading and Extracting Data into and out of Snowflake 4. Chapter 4: Building Data Pipelines in Snowflake 5. Chapter 5: Data Protection and Security in Snowflake 6. Chapter 6: Performance and Cost Optimization 7. Chapter 7: Secure Data Sharing 8. Chapter 8: Back to the Future with Time Travel 9. Chapter 9: Advanced SQL Techniques 10. Chapter 10: Extending Snowflake Capabilities 11. Other Books You May Enjoy

Creating a Table user-defined function using SQL

Snowflake provides capabilities for creating UDFs that can be used to extend the system and perform operations that are 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 Table UDFs and demonstrating how to call the UDFs in various scenarios. A Table UDF can return multiple rows of data.

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 SQL Table UDF capabilities provided by Snowflake. We will start by exploring some of the existing Table UDFs provided by Snowflake and reviewing their output:

  1. Let's start by creating a database in which...
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