Adding columns in Snowflake data is very easy and it can help you track your data. This blog enables you to add new columns to your existing Snowflake tables.
While analyzing and storing the data, we can insert new columns as per our needs. To add the columns, we will use the “ALTER TABLE” command. In this blog, you will learn about adding different types of columns.
In Snowflake, we will use “ALTER TABLE” to add the column.
For example, if we want to add a column “customer_id smallint
” column.
alter table product1
Add customer_id smallint;
Looking forward to a career in a cloud data warehousing domain? Check out the "Snowflake Training" and get certified today |
By using the “ALTER TABLE” command, we can add columns with default values:
alter table product1
add column customer_id smallint default 3;
We can add the string column with the not null constraint:
alter table product1
add type varchar(100) not null;
Preparing for Snowflake Interview? Here are the Top Snowflake Interview Questions and Answers |
Adding multiple columns:
alter table product1
add
Customer_id small int default 3;
type varchar(100) not null;
Alter table command is used to different types of columns. We can use the command for inserting different types of columns. I hope this blog provides you with the required information about adding columns.
Snowflake Related Articles
Name | Dates | |
---|---|---|
Snowflake Training | Oct 12 to Oct 27 | View Details |
Snowflake Training | Oct 15 to Oct 30 | View Details |
Snowflake Training | Oct 19 to Nov 03 | View Details |
Snowflake Training | Oct 22 to Nov 06 | View Details |
Viswanath is a passionate content writer of Mindmajix. He has expertise in Trending Domains like Data Science, Artificial Intelligence, Machine Learning, Blockchain, etc. His articles help the learners to get insights about the Domain. You can reach him on Linkedin