Home  >  Blog  >   Snowflake  > 

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. 

Rating: 4.5
  
 
339
  1. Share:
Snowflake Articles

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. 

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 TrainingMar 25 to Apr 09
Snowflake TrainingMar 28 to Apr 12
Snowflake TrainingApr 01 to Apr 16
Snowflake TrainingApr 04 to Apr 19
Last updated: 23 March 2023
About Author
Remy Sharp
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.

Recommended Courses

1 /10