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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 and scheduling a task

In this recipe, we will create a new task that runs a set of steps for processing data and configures the task to execute on a set schedule.

Getting ready

Note that the steps for this recipe can be run either in the Snowflake web UI or the SnowSQL command-line client.

How to do it…

To demonstrate the concept of a task, we will first create an aggregation query that we assume is being used in a report. We are assuming that the query takes a long time to run, therefore we are going to save the results of the query to a physical table and then refresh it periodically through a scheduled task. Let's see how to run tasks:

  1. To simplify the process for you, we have used the sample data provided by Snowflake and created an aggregation query on top of that. (Please note that sample data is included with your Snowflake instance and can be found under the SNOWFLAKE_SAMPLE_DATA database.) We will be using a fictitious query on the sample...
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