The ever-increasing demand for Efficient Data Handling & Processing has reached a new peak. Owing to the limitations of On-premise Data Storage and Analytics tools, businesses are increasingly turning to Cloud Solutions like Snowflake.

Snowflake is a Cloud Data Warehousing and Analytics Platform that enables independent instant scaling of Storage and Computational resources. Snowflake, which supports Standard SQL, enables you to gain access to your data and perform high-speed analysis.

Snowflake Temporary Tables, in addition to Permanent Tables, which is the default table type, are especially useful for storing data that does not need to be kept for long periods of time (i.e. Transitory Data).

Snowflake Temporary Table - Snowflake Features

What is a Snowflake Temporary Table?

  • Snowflake’s Temporary Table is only visible during the current session. Snowflake Temporary tables exist only during the session in which they were created and are only valid for the duration of that session.
  • When a session ends, the system deletes the data stored in a Temporary Table, which is not recoverable.
Snowflake Temporary Table - Temporary Table

Syntax for Snowflake Temporary Tables

  • Simply include the TEMPORARY keyword (or TEMP Abbreviation) in your CREATE TABLE DDL command to create a Temporary Table.
create temporary table temptablename (col1 type1, col2 type2, ... coln typen,);
  • For Example, you may use the following SQL Query to create a Temporary Table by the name of Demo in Snowflake:
create TEMPORARY table DEMO (col1 int, col2 int);
+----------------------------------+
| status                           |
|----------------------------------|
| Table DEMO successfully created. |
+----------------------------------+
How Can Hevo Streamline Your Snowflake Table Management?

Hevo supports seamless integration with Snowflake along with other Data Warehouses like BigQuery and Redshift, making it easy to create and manage temporary tables.

Simplify your data workflows with in-built transformations and real-time updates, all while Hevo handles the complexity of data processing.

Perform effortless Snowflake Integrations with Hevo

How to Make a Snowflake Temporary Table with Identical Permanent Table Name?

  • Temporary Tables, like other table types, are associated with a Specific Database and Schema.
  • They are not, however, bound by the same Unique Name requirements because they are session-based.
  • This means that within the same Schema, you can have both Temporary and Non-temporary Tables with the same name.

As an example,

--Permanent Table
select * from DEMO;
+------+--+
| A | B |
|------+--|
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
+------+--+

-- Temporary Table
create TEMPORARY table DEMO (A int, B int);
+----------------------------------+
| status                           |
|----------------------------------|
| Table DEMO successfully created. |
+----------------------------------+

What are the Restrictions of Snowflake Temporary Tables?

  • Other users or sessions cannot see Temporary Tables.
  • Some standard features, such as Cloning, are not supported by Temporary Tables.
  • Data cannot be recovered. At the end of the session, the system will delete the Temporary Table data. The data cannot be recovered by Snowflake as well.
  • There is no Fail-safe Period for Snowflake Temporary Tables.

What is a Snowflake Transient Table?

The Transient Tables are used to store temporary data that must be retained after the current session has ended.

Snowflake Temporary Table - Transient Table
  • Because they lack a fail-safe period, transient tables are a useful alternative for managing the cost of very large tables used to hold transitory data.
  • However, once the Time Travel Retention Period has expired, neither you nor Snowflake will be able to retrieve the data.
  • For example, if a system failure occurs and a Transitory Table is dropped or lost, you or Snowflake will no longer be able to access the data after one day.
  • As a result, it’s best to use Snowflake Transient Table only for data that doesn’t need to be protected against failure or can be recreated outside of Snowflake.

Conclusion

  1. You should now be familiar with Snowflake Temporary Table.
  2. These articles are intended to help you learn more about Snowflake. You’ll have a better chance of getting the most out of your Snowflake Data if you remember this information!
Davor DSouza
Research Analyst, Hevo Data

Davor DSouza is a data analyst with a passion for using data to solve real-world problems. His experience with data integration and infrastructure, combined with his Master's in Machine Learning, equips him to bridge the gap between theory and practical application. He enjoys diving deep into data and emerging with clear and actionable insights.

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