Window Functions

16/23 Day-to-day deltas with GROUP BY

Great. Another thing we can do with window functions when rows are grouped are leads, lags and day-to-day deltas. Take a look:

SELECT
  ended,
  SUM(final_price) AS sum_price,
  LAG(SUM(final_price)) OVER(ORDER BY ended)
FROM auction
GROUP BY ended
ORDER BY ended

The above query shows each end date with the total price of all items sold on that day and the same total price on the previous day.

For each end day, show the following columns:

ended,
the sum of views from auctions that ended on that day,
the sum of views from the previous day (name the column previous_day,
delta – the difference between the sum of views on that day and on the previous day (name the column delta).

You will have to use

LAG(SUM(views))

in the window function.

Instruction