Home  >  Blog  >   Snowflake

How to Group by Time in Snowflake

By the timestamp column, we can group the data by minute, hour, day, etc. But, sometimes, we cannot get what we need. So, by using the “date_trunc()” function to truncate the timestamp for getting the required output. In this blog, we will learn to group by time in Snowflake.

Rating: 4.6
  
 
932
  1. Share:
Snowflake Articles

Snowflake Group by Time

When we have to group the data by the hour, minute, week, day, etc., we can think that we can easily group it by our timestamp column.

If we do that, although, we will get one group per. Second -- possibly not what we require. Rather, we must “Truncate” our timestamp to the granularity we require, like day, hour, week, minute, etc. The function we require is “date_trunc():”

select
data_trunc(‘Day’ , start_date),
count(id) as number_of_sessions
from sessions
group by 2;

 MindMajix YouTube Channel

Conclusion:

By using “date_trun()” function we can truncate the timestamp to group the data by minute, week, day, hour, etc. I hope this blog is enough for grouping the data by time.

Snowflake Related Articles


▶  Snowflake vs Redshift
▶  Snowflake vs BigQuery
▶  Snowflake vs Databricks
▶  Snowflake vs Azure
▶  Snowflake vs Hadoop
▶  Snowflake Time Travel

If you have any queries, let us know by commenting below. 

Join our newsletter
inbox

Stay updated with our newsletter, packed with Tutorials, Interview Questions, How-to's, Tips & Tricks, Latest Trends & Updates, and more ➤ Straight to your inbox!

Course Schedule
NameDates
Snowflake TrainingApr 27 to May 12View Details
Snowflake TrainingApr 30 to May 15View Details
Snowflake TrainingMay 04 to May 19View Details
Snowflake TrainingMay 07 to May 22View Details
Last updated: 04 Apr 2023
About Author

Kalla Saikumar is a technology expert and is currently working as a Marketing Analyst at MindMajix. Write articles on multiple platforms such as Tableau, PowerBi, Business Analysis, SQL Server, MySQL, Oracle, and other courses. And you can join him on LinkedIn and Twitter.

read more