How to Compare Two Values When One Value is Null in Snowflake

In Snowflake, we can compare two columns to calculate how many columns are unique. If some columns are null, they will not be counted. In this blog, we will discuss dealing with the null columns. 

Snowflake - Compare two Values When One Value is Null

When we want to compare two snowflake columns and determine how many columns are distinct:

select count(2)
from sessions1
where start_date1  != end_date1;

If some start or end dates are null, they are not counted. To avoid this problem, we have to utilise the “INTERSECT” operator:

‘select count(2)
from sessions1
where not exists(select start_date1 from sessions1 intersect select end_date1 from sessions1);

Now, our count is “null aware” and we will get the result we require.   

 MindMajix YouTube Channel

Conclusion

This blog helps you handle the null columns while comparing the Snowflake columns. I hope this information is adequate for managing the null columns.

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. 

Course Schedule
NameDates
Snowflake TrainingJul 27 to Aug 11View Details
Snowflake TrainingJul 30 to Aug 14View Details
Snowflake TrainingAug 03 to Aug 18View Details
Snowflake TrainingAug 06 to Aug 21View 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 less
  1. Share:
Snowflake Articles