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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. 

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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.   

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

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Last updated: 01 December 2022
About Author
SaiKumar Kalla

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.