The supported values in the to_char() function are as shown below. To_char(OrderDate,'DD-MM-YYYY') As NewDateFormat FROM SalesOrders
SELECT Orderdetails,OrderDate as ExistingDateformat, The following query converts existing date values stored in the table into DD-MM-YYYY format. Date format: This is where you specify the new date format.Input date: This is the date that you want to convert into a specific format.This function is helpful for giving the output of a Postgres date value in a specified format. In this case, SQL Functions plays a vital role. Therefore, when an Indian user views the data, we likely will want him to view data in the format he is most familiar with. For example, in India, the usual date format is DD-MM-YYYY. We often need to modify the date format or do calculations on existing values stored in the Postgres table. OrderDate DATE NOT NULL DEFAULT CURRENT_DATEĪs shown below, the SQL inserts a value for the column automatically with the current system date in the YYYY-MM-DD format. You can design a Postgres table with a DATE column and use the keyword DEFAULT CURRENT_DATE to use the current system date as the default value in this column. It uses 4 bytes for storing a date value in a column. Postgres uses the DATE data type for storing different dates in YYYY-MM-DD format. Before proceeding further, I suggest you refer to Exploring the Various Postgres Data Types to understand these in further detail. Postgres has a variety of supported data types. Additionally, you should convert the date format display per your user’s requirements. The format or data type of the date column should always match the user’s input. Date formats vary across countries, therefore it can be a complicated task for those who are new to database management and are working with date columns. For example, when you have purchase and sales orders, monthly or quarterly earnings and more. In this article, we will explore Postgres dates, the different date data types, uses and functions.ĭate and timestamps are helpful for data analysis and storing data for checking when an event actually took place.
0 kommentar(er)
