Ian While it’s true that we can use the SQL MAX() function to get the maximum value in a column, what if we want to return the value from another column instead of the actual maximum value itself? And what if we want it partitioned by category, so that it’s based on the maximum value from each category? And what if we want all values listed out, including those that aren’t the most populous?
In the following example, we use a window function to solve this problem.
Ever since the release of MySQL 8.0.16, we’ve had the ability to create CHECK constraints in MySQL. At some point, we may want to return a list of CHECK constraints that have been created in a database or against a given table.
Fortunately, we can use the information_schema.check_constraints view to do just that.
We can alternatively use the information_schema.table_constraints view to get the same info.
PostgreSQL has a window function called rank() that returns the rank of the current row, with gaps.
“With gaps” means that it returns the same rank for any ties (i.e. two or more rows with the same value), but then subsequent ranks jump forward to account for the ties.
This means that there’s the potential for noncontiguous rank values. For example it could go 1, 2, 5, etc if several rows are ranked at 2. If there are no ties, then the rank values will be contiguous.
In PostgreSQL, we can use the row_number() function to get each row’s number within its partition. This allows us to create a column with incrementing row numbers that reset with each new partition.
The row_number() function is a window function that’s specifically designed to return the number of the current row within its partition, starting at 1 and incrementing sequentially.
If you’re getting error 3581 in MySQL, which reads “A window which depends on another cannot define partitioning“, it’s probably because you’re using the PARTITION BY clause in a window function that refers to a named window.
To fix this issue, don’t use the PARTITION BY clause when referring to a named window.
The WINDOW clause is an optional clause that we can use in our SQL queries to create a named window. The named window can then be used as part of a window function.
When creating a window function, a SQL developer will often define it directly in the OVER clause. But that’s not the only way to do it. We can alternatively use the WINDOW clause to define it in a named window, and then refer to that named window in the OVER clause.
When we have a query that returns a column with numerical data such as prices or population, we can use the following methods to automatically calculate the totals and subtotals within a category.
MySQL provides us with a wide range of functions for working with JSON documents. Below are four MySQL functions that we can use to get information about JSON values.
In MySQL, ROW_NUMBER() is a window function that returns the number of the current row within its partition. Numbering starts at 1 and increments sequentially.