Learn how to effectively remove columns from existing tables in Snowflake with this comprehensive tutorial. Whether you're streamlining your database schema or removing obsolete data, discover the step-by-step process to seamlessly drop columns. Dive into practical examples and best practices for efficient data management in Snowflake.
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CREATE OR REPLACE TABLE employees (
employee_id INT,
first_name VARCHAR(50),
last_name VARCHAR(50),
salary NUMBER,
created_date date
);
-- Insert sample data into the employees table
INSERT INTO employees (employee_id, first_name, last_name, salary,created_date)
VALUES
(1001, 'John', 'Doe', 50000,current_date),
(1002, 'Jane', 'Smith', 60000,current_date),
(1003, 'Michael', 'Johnson', 75000,current_date),
(1004, 'Emily', 'Brown', 55000,current_date);
select * from employees;
ALTER TABLE employees
drop column salary;
ALTER TABLE employees DROP (CREATED_date) ;
SELECT * FROM employees;
ALTER TABLE employees DROP ( FIRST_NAME, LAST_NAME) ;
ALTER TABLE employees DROP column FIRST_NAME, LAST_NAME ;
select * from employees;
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