In MySQL, the LEAD() function is a window function that returns the value of a given expression from the row that leads (follows) the current row by a given number of rows within its partition.
Basically, it returns the value from a later row.
Continue readingIn MySQL, the LAG() function is a window function that returns the value of a given expression from the row that lags (precedes) the current row by a given number of rows within its partition.
Basically, it returns the value from a previous row.
Continue readingIn MySQL, the NTH_VALUE() function is a window function that returns the value of a given expression from the from the N-th row of the window frame, where N is a number that we specify when calling the function.
In MySQL, the LAST_VALUE() function is a window function that returns the value of the given expression from the last row of the window frame.
In MySQL, the FIRST_VALUE() function is a window function that returns the value of the given expression from the first row of the window frame.
In MySQL, the DENSE_RANK() function is a window function that returns the rank of the current row within its partition, without gaps.
By “without gaps” this means that it returns contiguous rank numbers whenever there are peers. Peers are considered ties and receive the same rank. In such cases, the next rank value is one greater than the current one (i.e. the one that the peers receive).
Continue readingIn MySQL, RANK() is a window function that returns the rank of the current row within its partition, with gaps.
By “gaps” this means that it returns noncontiguous rank numbers whenever there are peers. Peers are considered ties and receive the same rank, but in such cases, we get a gap between this rank value and the next rank value.
Continue readingIn MySQL, PERCENT_RANK() is a window function that returns the percentage of partition values less than the value in the current row, excluding the highest value.
We can use PERCENT_RANK() to evaluate the relative standing of a value within a query result set or partition. Return values range from 0 to 1.
In MySQL, CUME_DIST() is a window function that returns the cumulative distribution of a value within a group of values. This is the percentage of partition values less than or equal to the value in the current row. The return values range from 0 to 1.
SQL provides us with an easy way to automatically compute the moving average of a given column.
The moving average (also known as the rolling average, running average, moving mean (MM), or rolling mean) is a series of averages of different selections of the full data set. The moving average changes as we move through the data set. We can add the moving average to our SQL query result sets to see how it changes across the result set.
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