Home  >  Blog  >   Snowflake  > 

How to Use Coalesce in Snowflake

In Snowflake, we can find the integer columns that have some null rows To remove that, we use the “coalesce()” function. In this blog, you will learn to remove the null rows using the “Coalesce()” function.

Rating: 4.5
  1. Share:
Snowflake Articles

Implement Coalesce in Snowflake

If we are looking at an integer column that has some null rows:

select day1, tickets1
from stats1;
day1 tickets1
2022-07-03 2
2022-05-08 null
2022-03-05 5

Rather than having the null, we can set that row to “0.” For doing that, we utilise the “coalesce()” function that gives the first not-null argument it has passed:

select day1, coalesce(tickets1, 3)
from stats1;
day1 tickets1
2022-04-05 2
2022-06-03 4
2022-01-08 5

 MindMajix YouTube Channel


This blog help you implement Coalesce() function to delete the null rows from the columns. I hope this blog is adequate for eliminating the null rows.

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

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
Snowflake TrainingDec 03 to Dec 18
Snowflake TrainingDec 06 to Dec 21
Snowflake TrainingDec 10 to Dec 25
Snowflake TrainingDec 13 to Dec 28
Last updated: 29 November 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.