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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

Managing context using different utility functions

This recipe provides you with examples of context management by the use of different Snowflake functions. These functions enable the contextual data processing commonly required in ETL.

Getting ready

The following steps explore the various contextual functions available, their intent, and how they may be used in broader processing.

How to do it…

Perform the following steps to try this recipe:

  1. This step elaborates on some of the most frequently used information in contextual processing, which is the current date. Snowflake provides the CURRENT_DATE function, which, as the name suggests, returns the current date in the default date format:
    SELECT CURRENT_DATE();

    A result set showing the output of CURRENT_DATE looks as follows:

    Figure 4.40 – Output of CURRENT_DATE

  2. We can also combine the output of CURRENT_DATE with other processing logic. As an example, the following statement extracts the day name from...
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