Postgresql alter table only9/20/2023 ![]() ![]() How do we win on this front when it comes to controlling the data allowed in our database? Data consistency is of utmost priority and is integral for any sound data solution. By allowing 4 total digits, with 2 at most after the decimal, it is doing its job. Suppose in that same NUMERIC(4,2) column, you only want values greater than 25.25 but less than 74.33? In the event, value 88.22 is stored, the data type is not at fault. Compliance rules and some sort of ‘standard’ are typically required when designing a schema. You cannot assure the most specific requirements are covered and conform to such broad structuring. Chances are, one already exists to satisfy your need(s). PostgreSQL offers a multitude of data types. Can character text values slip in there? Not a snowball’s chance. NUMERIC(4,2), a viable option, is guarding that column like a watchdog. Need a column with decimal numbers, having a total digit count of 4, with 2 of those after the decimal? Many provide built-in solutions to assist in managing this particular area of data.Ī sure way to control the data entered into a table’s column is with a data type. Modern databases handle much of the heavy lifting for us. It is a problem from the onset, leading to even more issues. No matter how you slice it or dice it (pun intended). Validating every single piece of data ‘ by hand‘ around the clock is simply impractical. Therefore, we must take measures to handle the influx. As our world turns, data continues to be widespread, abundant, and intensive.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |