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Snowflake Cookbook

You're reading from  Snowflake Cookbook

Product type Book
Published in Feb 2021
Publisher Packt
ISBN-13 9781800560611
Pages 330 pages
Edition 1st Edition
Languages
Authors (2):
Hamid Mahmood Qureshi Hamid Mahmood Qureshi
Profile icon Hamid Mahmood Qureshi
Hammad Sharif Hammad Sharif
Profile icon Hammad Sharif
View More author details

Table of Contents (12) Chapters

Preface 1. Chapter 1: Getting Started with Snowflake 2. Chapter 2: Managing the Data Life Cycle 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

Using Time Travel to return to the state of data at a particular time

In this recipe, we will go back to a point in time for a table or a set of tables and query the data at that time using the Time Travel functionality.

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 table and populating that table with some sample data. Further on in the recipe, we will run an update on this table and demonstrate how to recover to a point before the data was updated. The steps are as follows:

  1. We will create a new database, followed by creating a table containing some sample customer data. We will be using sample data provided by Snowflake to populate this table. To do so, run the following SQL:
    CREATE DATABASE C8_R1;
    CREATE TABLE CUSTOMER AS 
    SELECT * FROM SNOWFLAKE_SAMPLE_DATA.TPCDS_SF10TCL.  CUSTOMER
    LIMIT 100000;
  2. Let's validate that...
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