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.
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;
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.
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Kalla Saikumar is a technology expert and is currently working as a content associate at MindMajix. Write articles on multiple platforms such as ServiceNow, Business Analysis, Performance Testing, Mulesoft, Oracle Exadata, Azure, and other courses. And you can join him on LinkedIn.
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