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# How to Add Days to a Date in SQL Learn how to effectively manipulate dates in SQL using the powerful DATEADD() function to add or subtract days from a specific date. This versatile function accepts three essential parameter values: ``` DATEADD(interval, number, date) ``` interval: The date (or other time interval) you want to add. You can use any of these commonly used date/time parameters in your SQL query: * year, yyyy, yy = Year * quarter, qq, q = Quarter * month, mm, m = month * dayofyear, dy, y = Day of the year * day, dd, d = Day * week, ww, wk = Week * weekday, dw, w = Weekday * hour, hh = hour * minute, mi, n = Minute * second, ss, s = Second * millisecond, ms = Millisecond number: The numeric quantity of interval you want to add to the date. This value can be positive if you want to calculate dates in the future, or negative if you want to retrieve past dates. date: The date to be modified. Formatted as YYYY/MM/DD (standard ISO format) For example, if you wanted to add 7 days to the date 2020-01-01, you would implement the following SQL query: ``` SELECT DATEADD(day, 7, '2020-01-01'); ``` ## DATEADD() Examples in Practice Let's explore some practical examples of how this function can be implemented. Consider a table called orders with the following sample data: order_date --- 2020-01-01 2020-01-15 2020-02-01 To add 7 days to each of these dates, execute the following SQL query: ``` SELECT DATEADD(day, 7, order_date) AS updated_date FROM orders; ``` This query will return the calculated results: 2020-01-08, 2020-01-22, and 2020-02-08, respectively. ## Additional Info About SQL's DATEADD() Function The DATEADD() function is widely supported across most major database management systems, including MySQL, PostgreSQL, and Microsoft SQL Server. However, be aware that the syntax may vary slightly depending on your specific database platform. For comprehensive implementation details, consult the official documentation for your particular database system. Remember to always validate your date calculations, especially when working with important business logic or time-sensitive operations.