How can i fill empty values while summarizing over a frame? - sql

Question

I have a query that calculates moving sum over a frame:
SELECT "Дата",
"Износ",
SUM("Сумма") OVER (partition by "Износ" order by "Дата"
rows between unbounded preceding and current row) AS "Продажи"
FROM (
SELECT date_trunc('week', period) AS "Дата",
multiIf(wear_and_tear BETWEEN 1 AND 3, '1-3',
wear_and_tear BETWEEN 4 AND 10, '4-10',
wear_and_tear BETWEEN 11 AND 20, '11-20',
wear_and_tear BETWEEN 21 AND 30, '21-30',
wear_and_tear BETWEEN 31 AND 45, '31-45',
wear_and_tear BETWEEN 46 AND 100, '46-100',
'Новые') AS "Износ",
SUM(quantity) AS "Сумма"
FROM shinsale_prod.sale_1c sc
LEFT JOIN product_1c pc ON sc.product_id = pc.id
WHERE 1=1
-- AND partner != 'Наше предприятие'
-- AND wear_and_tear = 0
-- AND stock IN ('ShinSale Щитниково', 'ShinSale Строгино', 'ShinSale Кунцево', 'ShinSale Санкт-Петербург', 'Шиномонтаж Подольск')
AND seasonality = 'з'
-- AND (quantity IN {{quant}} OR quantity IN -{{quant}})
-- AND stock in {{Склад}}
GROUP BY "Дата", "Износ"
HAVING "Дата" BETWEEN '2021-06-01' AND '2022-01-08'
ORDER BY 'Дата'
The thing is that in some groups I have now rows dated between 2021-12-20 and 2022-01-03
Therefore the line that represent this group has a gap on my chart.
Is there a way I can fill this gap with average values or smth?
I tried to right join my subquery to empty range of dates, but then i get empty rows and my filters in WHERE section kill the query and then I get empty or nearly empty result

Answer 1

You can generate mockup dates and construct a proper outer join like this:
SELECT
a.the_date,
sum(your_query.value) OVER (PARTITION BY 1 ORDER BY a.the_date ASC)
FROM
(
SELECT
number AS value,
toDate('2021-01-01') + value AS the_date
FROM numbers(10)
) AS your_query
RIGHT JOIN
(
WITH
toStartOfDay(toDate('2021-01-01')) AS start,
toStartOfDay(toDate('2021-01-14')) AS end
SELECT arrayJoin(arrayMap(x -> toDate(x), range(toUInt32(start), toUInt32(end), 24 * 3600))) AS the_date
) AS a ON a.the_date = your_query.the_date
Then the results will have no gaps:
┌─a.the_date─┬─sum(value) OVER (PARTITION BY 1 ORDER BY a.the_date ASC)─┐
│ 2021-01-01 │ 0 │
│ 2021-01-02 │ 1 │
│ 2021-01-03 │ 3 │
│ 2021-01-04 │ 6 │
│ 2021-01-05 │ 10 │
│ 2021-01-06 │ 15 │
│ 2021-01-07 │ 21 │
│ 2021-01-08 │ 28 │
│ 2021-01-09 │ 36 │
│ 2021-01-10 │ 45 │
│ 2021-01-11 │ 45 │
│ 2021-01-12 │ 45 │
│ 2021-01-13 │ 45 │
└────────────┴──────────────────────────────────────────────────────────┘