{"id":327380,"date":"2022-01-10T08:52:19","date_gmt":"2022-01-10T08:52:19","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=327380"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=327380","title":{"rendered":"\u041d\u0430\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0438\u0439 \u0438\u0442\u043e\u0433 \u0432 SQL \u0441 \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u043c\u0438 \u0432 \u0434\u0430\u043d\u043d\u044b\u0445<\/span>"},"content":{"rendered":"
<\/div>\n
\n
\n

\u0420\u0430\u043d\u0435\u0435 \u043c\u044b \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0435\u043b\u0438<\/a> \u0441\u043f\u043e\u0441\u043e\u0431\u044b \u0440\u0430\u0441\u0447\u0451\u0442\u0430 \u043d\u0430\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0435\u0433\u043e (\u043d\u0430\u043a\u043e\u043f\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e) \u0438\u0442\u043e\u0433\u0430 \u0432 SQL. \u0421\u0430\u043c\u044b\u0439 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0451\u043d\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441 — \u043a\u0430\u043a \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0442\u043e\u0436\u0435 \u0441\u0430\u043c\u043e\u0435, \u043d\u043e \u043d\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441 \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u043c\u0438? \u041f\u043e\u0441\u043b\u0435 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0438 \u043c\u043d\u0435 \u0435\u0433\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043b\u0438 \u043d\u0435\u043e\u0434\u043d\u043e\u043a\u0440\u0430\u0442\u043d\u043e \u2013 \u0442\u0430\u043a \u0447\u0442\u043e \u0435\u0441\u0442\u044c \u0441\u043c\u044b\u0441\u043b \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u043e\u0431 \u044d\u0442\u043e\u043c \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e.<\/p>\n

\u0414\u043b\u044f \u043d\u0430\u0447\u0430\u043b\u0430 \u043e\u0441\u0432\u0435\u0436\u0438\u043c \u0432 \u043f\u0430\u043c\u044f\u0442\u0438 \u0441\u0430\u043c\u0443 \u043f\u043e\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0443 \u0432\u043e\u043f\u0440\u043e\u0441\u0430. \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u043f\u0440\u043e\u0434\u0430\u0436 \u0440\u0430\u0437\u043d\u044b\u0445 \u0442\u043e\u0432\u0430\u0440\u043e\u0432 (product) \u043f\u043e \u0434\u043d\u044f\u043c (dt):<\/p>\n

<\/figcaption><\/figure>\n
\n\u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0442\u0430\u0431\u043b\u0438\u0446<\/summary>\n
\n
-- \u043e\u0441\u043d\u043e\u0432\u043d\u0430\u044f \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438: \u043f\u0440\u043e\u0434\u0430\u0436\u0438 (sales) \u043f\u043e \u0434\u043d\u044f\u043c (dt) \u0438 \u0442\u043e\u0432\u0430\u0440\u0430\u043c (product) create table product_sales (dt date null,                             product varchar(10) null,  -- varchar2(10) in Oracle                             sales int null                           ); insert into product_sales (dt, product, sales) values ('2021-12-01', 'A', 10); insert into product_sales (dt, product, sales) values ('2021-12-01', 'B', 20); insert into product_sales (dt, product, sales) values ('2021-12-05', 'C', 50); insert into product_sales (dt, product, sales) values ('2021-12-10', 'A', 30); insert into product_sales (dt, product, sales) values ('2021-12-12', 'B', 40); insert into product_sales (dt, product, sales) values ('2021-12-15', 'C', 10); insert into product_sales (dt, product, sales) values ('2021-12-20', 'A', 20); insert into product_sales (dt, product, sales) values ('2021-12-25', 'B', 50); insert into product_sales (dt, product, sales) values ('2021-12-31', 'B', 30);  -- \u043a\u0430\u043b\u0435\u043d\u0434\u0430\u0440\u044c create table dim_dt (dt date not null); insert into dim_dt (dt) values ('2021-12-01'); insert into dim_dt (dt) values ('2021-12-02'); insert into dim_dt (dt) values ('2021-12-03'); insert into dim_dt (dt) values ('2021-12-04'); insert into dim_dt (dt) values ('2021-12-05'); insert into dim_dt (dt) values ('2021-12-06'); insert into dim_dt (dt) values ('2021-12-07'); insert into dim_dt (dt) values ('2021-12-08'); insert into dim_dt (dt) values ('2021-12-09'); insert into dim_dt (dt) values ('2021-12-10'); insert into dim_dt (dt) values ('2021-12-11'); insert into dim_dt (dt) values ('2021-12-12'); insert into dim_dt (dt) values ('2021-12-13'); insert into dim_dt (dt) values ('2021-12-14'); insert into dim_dt (dt) values ('2021-12-15'); insert into dim_dt (dt) values ('2021-12-16'); insert into dim_dt (dt) values ('2021-12-17'); insert into dim_dt (dt) values ('2021-12-18'); insert into dim_dt (dt) values ('2021-12-19'); insert into dim_dt (dt) values ('2021-12-20'); insert into dim_dt (dt) values ('2021-12-21'); insert into dim_dt (dt) values ('2021-12-22'); insert into dim_dt (dt) values ('2021-12-23'); insert into dim_dt (dt) values ('2021-12-24'); insert into dim_dt (dt) values ('2021-12-25'); insert into dim_dt (dt) values ('2021-12-26'); insert into dim_dt (dt) values ('2021-12-27'); insert into dim_dt (dt) values ('2021-12-28'); insert into dim_dt (dt) values ('2021-12-29'); insert into dim_dt (dt) values ('2021-12-30'); insert into dim_dt (dt) values ('2021-12-31');  -- \u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0442\u043e\u0432\u0430\u0440\u043e\u0432 create table dim_product (product varchar(10) not null); insert into dim_product (product) values ('A'); insert into dim_product (product) values ('B'); insert into dim_product (product) values ('C');<\/code><\/pre>\n<\/div>\n<\/details>\n
\u041a\u0430\u043a \u0432\u0438\u0434\u0438\u043c, \u043f\u0440\u043e\u0434\u0430\u0436\u0438 \u0435\u0441\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0434\u043d\u0438. \u0412\u0441\u0435 \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u0435 \u0434\u043d\u0438 \u2013 \u044d\u0442\u043e «\u0440\u0430\u0437\u0440\u044b\u0432\u044b» \u0431\u0435\u0437 \u0434\u0430\u043d\u043d\u044b\u0445. \u0422.\u0435. \u044d\u0442\u043e \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u043e\u0447\u0435\u043d\u044c \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u043e\u0439 \u0432 SQL \u0437\u0430\u0434\u0430\u0447\u0438 \u043e \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u0445 (gaps and islands problem<\/em>).<\/p>\n
\u041f\u043e\u0441\u0447\u0438\u0442\u0430\u0435\u043c \u043d\u0430\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0438\u0439 \u0438\u0442\u043e\u0433, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043e\u043a\u043e\u043d\u043d\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e:<\/p>\n
select          ps.dt       , ps.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by ps.product order by ps.dt), 0) as sales_total from product_sales ps order by ps.product, ps.dt;<\/code><\/pre>\n
<\/figcaption><\/figure>\n
\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0435\u043d, \u043d\u043e \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442 \u0442\u0435 \u0436\u0435 \u0441\u0430\u043c\u044b\u0435 \u0440\u0430\u0437\u0440\u044b\u0432\u044b, \u0447\u0442\u043e \u0431\u044b\u043b\u0438 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u041a\u0430\u043a \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438\u0442\u043e\u0433\u0438 \u0437\u0430 \u0432\u0441\u0435 \u0434\u043d\u0438 \u0434\u0435\u043a\u0430\u0431\u0440\u044f, \u0434\u0430\u0436\u0435 \u0435\u0441\u043b\u0438 \u0432 \u044d\u0442\u043e\u0442 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0439 \u0434\u0435\u043d\u044c \u043d\u0435 \u0431\u044b\u043b\u043e \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435? \u0422.\u0435. \u0442\u0430\u043a, \u0447\u0442\u043e\u0431\u044b \u0443 \u043d\u0430\u0441 \u0432\u044b\u0448\u043b\u043e 93 \u0441\u0442\u0440\u043e\u043a\u0438 \u0437\u0430 \u0434\u0435\u043a\u0430\u0431\u0440\u044c (\u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044f 31 \u0434\u0435\u043d\u044c \u0425 3 \u0432\u0438\u0434\u0430 \u0442\u043e\u0432\u0430\u0440\u043e\u0432). \u0424\u0440\u0430\u0433\u043c\u0435\u043d\u0442 \u043e\u0436\u0438\u0434\u0430\u0435\u043c\u043e\u0433\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430:<\/p>\n
<\/figcaption><\/figure>\n
\u041f\u0440\u043e\u0449\u0435 \u0432\u0441\u0435\u0433\u043e, \u0435\u0441\u043b\u0438 \u0443 \u043d\u0430\u0441 \u0432 \u0431\u0430\u0437\u0435 \u0435\u0441\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u044b-\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438 \u0441\u043e \u0432\u0441\u0435\u043c\u0438 \u0434\u0430\u0442\u0430\u043c\u0438 (\u043a\u0430\u043b\u0435\u043d\u0434\u0430\u0440\u044c) \u0438 \u0441\u043e \u0432\u0441\u0435\u043c\u0438 \u0442\u043e\u0432\u0430\u0440\u0430\u043c\u0438 (\u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0442\u043e\u0432\u0430\u0440\u043e\u0432). \u0422\u043e\u0433\u0434\u0430 \u043c\u044b \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 (\u043f\u043e\u043b\u043d\u044b\u0439) \u043d\u0430\u0431\u043e\u0440 \u0441\u043e\u0447\u0435\u0442\u0430\u043d\u0438\u0439 \u0434\u0430\u0442 \u0438 \u0442\u043e\u0432\u0430\u0440\u043e\u0432:<\/p>\n
select           d.dt        , p.product from dim_dt d cross join dim_product p where d.dt between '2021-12-01' and '2021-12-31';<\/code><\/pre>\n
\u0414\u0430\u043b\u0435\u0435 \u043a \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u043e\u043c\u0443 \u043d\u0430\u0431\u043e\u0440\u0443 \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0447\u0435\u0440\u0435\u0437 left join<\/code> \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0441 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c\u0438:<\/p>\n
with ideal_combination as     (select               d.dt            , p.product     from dim_dt d     cross join dim_product p     where d.dt between '2021-12-01' and '2021-12-31') select         i.dt       , i.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by i.product order by i.dt), 0) as sales_total from ideal_combination i left join product_sales ps    on i.dt = ps.dt       and i.product = ps.product ;<\/code><\/pre>\n
\u0418\u043b\u0438 \u0435\u0441\u043b\u0438 \u0438\u0437\u0431\u0430\u0432\u0438\u0442\u044c\u0441\u044f \u043e\u0442 CTE \u0432 \u0437\u0430\u043f\u0440\u043e\u0441\u0435:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dim_dt d cross join dim_product p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product where d.dt between '2021-12-01' and '2021-12-31';<\/code><\/pre>\n
\u0412\u043f\u0440\u043e\u0447\u0435\u043c, \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u043d\u0430\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u0437\u0430\u0440\u0430\u043d\u0435\u0435 \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u044b\u0435 \u0438 \u0437\u0430\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u044b\u0435 \u0442\u0430\u0431\u043b\u0438\u0446\u044b, \u043a\u0430\u043a dim_dt<\/code> \u0438 dim_product<\/code> \u0432 \u044d\u0442\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435. \u0415\u0441\u043b\u0438 \u0438\u0445 \u0443 \u043d\u0430\u0441 \u043d\u0435\u0442 \u2013 \u043c\u043e\u0436\u043d\u043e \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u043d\u0430\u0431\u043e\u0440\u044b \u0441\u0430\u043c\u0438\u043c.<\/p>\n
\u0421 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0442\u043e\u0432\u0430\u0440\u043e\u0432 \u0432\u0441\u0435 \u043f\u0440\u043e\u0441\u0442\u043e — \u044d\u0442\u043e \u043b\u0438\u0431\u043e \u0440\u0443\u0447\u043d\u043e\u0439 \u0432\u0432\u043e\u0434 \u043a\u0430\u043a<\/p>\n
          select 'A' as product  union all select 'B'  union all select 'C' ;<\/code><\/pre>\n
\u0438\u043b\u0438 \u0436\u0435 \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0439 \u0442\u043e\u0432\u0430\u0440\u043e\u0432 \u0438\u0437 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u043f\u0440\u043e\u0434\u0430\u0436 \u043f\u043e \u0434\u043d\u044f\u043c:<\/p>\n
select distinct product from product_sales;<\/code><\/pre>\n
\u0410 \u0432\u043e\u0442 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u0442 \u0431\u0443\u0434\u0435\u0442 \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u0447\u043d\u0430 \u0434\u043b\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u0421\u0423\u0411\u0414. \u041f\u0440\u043e\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0441  PostgreSQL, \u0433\u0434\u0435 \u0435\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (set returning functions<\/a>):<\/p>\n
select t.dt::date as dt from generate_series('2021-12-01', '2021-12-31', interval  '1 day') as t(dt);  -- \u0438\u043b\u0438 \u0442\u043e\u0436\u0435 \u0441\u0430\u043c\u043e\u0435 \u0447\u0443\u0442\u044c \u043a\u043e\u0440\u043e\u0447\u0435: select generate_series('2021-12-01', '2021-12-31', interval '1 day')::date as dt;<\/code><\/pre>\n
\u0421\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e, \u043f\u043e\u043b\u043d\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441 \u0432 PostgreSQL \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0442\u0430\u043a:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from (select generate_series('2021-12-01', '2021-12-31', interval '1 day')::date as dt) d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u0435 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 generate_series<\/code> \u0438\u043b\u0438 \u0435\u0451 \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u0430 \u043d\u0435\u0442, \u0442\u0430\u043a \u0447\u0442\u043e \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f \u0432\u043e\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u043c CTE. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 SQL Server \u043c\u044b \u0432\u043e\u0437\u044c\u043c\u0435\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u0443\u044e \u0434\u0430\u0442\u0443 \u043f\u0435\u0440\u0438\u043e\u0434\u0430 \u043a\u0430\u043a select '2021-12-01'<\/code>, \u0438 \u0431\u0443\u0434\u0435\u043c \u043f\u0440\u0438\u0431\u0430\u0432\u043b\u044f\u0442\u044c \u043a \u043d\u0435\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0434\u043d\u044e \u043f\u0440\u0438 \u043f\u043e\u043c\u043e\u0449\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 dateadd<\/code>, \u043f\u043e\u043a\u0430 \u043d\u0435 \u0434\u043e\u0441\u0442\u0438\u0433\u043d\u0435\u043c \u043a\u043e\u043d\u0446\u0430 \u043f\u0435\u0440\u0438\u043e\u0434\u0430 (where dt <= '2021-12-31'<\/code>):<\/p>\n
with dates_range (dt) as     (     select convert(date, '2021-12-01', 102) as dt     union all     select dateadd(day, 1, dt)      from dates_range     where dt <=  convert(date, '2021-12-31', 102)     ) select * from dates_range<\/code><\/pre>\n
<\/figcaption><\/figure>\n
\u0410 \u0438\u0442\u043e\u0433\u043e\u0432\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441 \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0442\u0430\u043a:<\/p>\n
with dates_range (dt) as     (     select convert(date, '2021-12-01', 102) as dt     union all     select dateadd(day, 1, dt)      from dates_range     where dt <=  convert(date, '2021-12-31', 102)     ) select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dates_range d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0438\u0445 \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0435 CTE, \u0437\u0430\u043f\u0440\u043e\u0441 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0442\u0430\u043a\u0438\u043c \u0436\u0435. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u0432 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u0442\u0430\u043c\u0438 (\u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u044b convert<\/code> \u0438 dateadd<\/code> \u0438\u0437 SQL Server). \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 PostgreSQL :<\/p>\n
with recursive dates_range (dt) as     (     select '2021-12-01'::date as dt     union all     select (dt + interval '1 day')::date     from dates_range     where dt <= '2021-12-31'::date     ) select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dates_range d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u041f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0445 CTE \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u043f\u043e\u043c\u043d\u0438\u0442\u044c, \u0447\u0442\u043e \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0421\u0423\u0411\u0414 \u0438\u0445 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0433\u043b\u0443\u0431\u0438\u043d\u0430 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0430. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0434\u043b\u044f MySQL 8.0 \u2013 1000 \u0438\u0442\u0435\u0440\u0430\u0446\u0438\u0439 (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 cte_max_recursion_depth<\/code>), \u0430 \u0434\u043b\u044f SQL Server 2014+ \u2013 100 \u0438\u0442\u0435\u0440\u0430\u0446\u0438\u0439 (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 MAXRECURSION<\/code>).<\/p>\n
\u0412 Oracle DB \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0435 CTE \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0437\u0430\u043c\u0435\u043d\u0435\u043d\u044b \u043f\u0440\u043e\u043f\u0440\u0438\u0435\u0442\u0430\u0440\u043d\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0438\u0435\u0440\u0430\u0440\u0445\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0447\u0435\u0440\u0435\u0437 connect by<\/code>. \u0422\u0430\u043a \u0447\u0442\u043e \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u0434\u0430\u0442 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0430\u043a<\/p>\n
select (to_date('2021-12-31', 'YYYY-MM-DD') - level + 1) as dt from dual connect by level <= (to_date('2021-12-31', 'YYYY-MM-DD') - to_date('2021-12-01', 'YYYY-MM-DD') + 1);<\/code><\/pre>\n
\u0410 \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u0440\u0438\u043e\u0431\u0440\u0435\u0442\u0430\u0435\u0442 \u0432\u0438\u0434:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from      (     select (to_date('2021-12-31', 'YYYY-MM-DD') - level + 1) as dt     from dual     connect by level <= (to_date('2021-12-31', 'YYYY-MM-DD') - to_date('2021-12-01', 'YYYY-MM-DD') + 1)     ) d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414 \u043c\u043e\u0433\u0443\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441\u0430, \u043d\u043e \u043e\u0431\u0449\u0430\u044f \u0438\u0434\u0435\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u0445\u043e\u0436\u0435\u0439: \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u043c \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 \u043d\u0430\u0431\u043e\u0440 \u0438 \u043f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u043a \u043d\u0435\u043c\u0443 \u0447\u0435\u0440\u0435\u0437 left join<\/code> \u0441\u0432\u043e\u0438 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0435.<\/p>\n<\/div>\n<\/div>\n
  
 \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438  https:\/\/habr.com\/ru\/post\/597963\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
<\/div>\n
\n
\n
\u0420\u0430\u043d\u0435\u0435 \u043c\u044b \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0435\u043b\u0438<\/a> \u0441\u043f\u043e\u0441\u043e\u0431\u044b \u0440\u0430\u0441\u0447\u0451\u0442\u0430 \u043d\u0430\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0435\u0433\u043e (\u043d\u0430\u043a\u043e\u043f\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e) \u0438\u0442\u043e\u0433\u0430 \u0432 SQL. \u0421\u0430\u043c\u044b\u0439 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0451\u043d\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441 — \u043a\u0430\u043a \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0442\u043e\u0436\u0435 \u0441\u0430\u043c\u043e\u0435, \u043d\u043e \u043d\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 \u0441 \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u043c\u0438? \u041f\u043e\u0441\u043b\u0435 \u043d\u0430\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439 \u0441\u0442\u0430\u0442\u044c\u0438 \u043c\u043d\u0435 \u0435\u0433\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043b\u0438 \u043d\u0435\u043e\u0434\u043d\u043e\u043a\u0440\u0430\u0442\u043d\u043e \u2013 \u0442\u0430\u043a \u0447\u0442\u043e \u0435\u0441\u0442\u044c \u0441\u043c\u044b\u0441\u043b \u043d\u0430\u043f\u0438\u0441\u0430\u0442\u044c \u043e\u0431 \u044d\u0442\u043e\u043c \u043e\u0442\u0434\u0435\u043b\u044c\u043d\u043e.<\/p>\n
\u0414\u043b\u044f \u043d\u0430\u0447\u0430\u043b\u0430 \u043e\u0441\u0432\u0435\u0436\u0438\u043c \u0432 \u043f\u0430\u043c\u044f\u0442\u0438 \u0441\u0430\u043c\u0443 \u043f\u043e\u0441\u0442\u0430\u043d\u043e\u0432\u043a\u0443 \u0432\u043e\u043f\u0440\u043e\u0441\u0430. \u041f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0438\u043c, \u0443 \u043d\u0430\u0441 \u0435\u0441\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u043f\u0440\u043e\u0434\u0430\u0436 \u0440\u0430\u0437\u043d\u044b\u0445 \u0442\u043e\u0432\u0430\u0440\u043e\u0432 (product) \u043f\u043e \u0434\u043d\u044f\u043c (dt):<\/p>\n
<\/figcaption><\/figure>\n
\n\u0421\u043e\u0437\u0434\u0430\u043d\u0438\u0435 \u0442\u0430\u0431\u043b\u0438\u0446<\/summary>\n
\n
-- \u043e\u0441\u043d\u043e\u0432\u043d\u0430\u044f \u0442\u0430\u0431\u043b\u0438\u0446\u0430 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438: \u043f\u0440\u043e\u0434\u0430\u0436\u0438 (sales) \u043f\u043e \u0434\u043d\u044f\u043c (dt) \u0438 \u0442\u043e\u0432\u0430\u0440\u0430\u043c (product) create table product_sales (dt date null,                             product varchar(10) null,  -- varchar2(10) in Oracle                             sales int null                           ); insert into product_sales (dt, product, sales) values ('2021-12-01', 'A', 10); insert into product_sales (dt, product, sales) values ('2021-12-01', 'B', 20); insert into product_sales (dt, product, sales) values ('2021-12-05', 'C', 50); insert into product_sales (dt, product, sales) values ('2021-12-10', 'A', 30); insert into product_sales (dt, product, sales) values ('2021-12-12', 'B', 40); insert into product_sales (dt, product, sales) values ('2021-12-15', 'C', 10); insert into product_sales (dt, product, sales) values ('2021-12-20', 'A', 20); insert into product_sales (dt, product, sales) values ('2021-12-25', 'B', 50); insert into product_sales (dt, product, sales) values ('2021-12-31', 'B', 30);  -- \u043a\u0430\u043b\u0435\u043d\u0434\u0430\u0440\u044c create table dim_dt (dt date not null); insert into dim_dt (dt) values ('2021-12-01'); insert into dim_dt (dt) values ('2021-12-02'); insert into dim_dt (dt) values ('2021-12-03'); insert into dim_dt (dt) values ('2021-12-04'); insert into dim_dt (dt) values ('2021-12-05'); insert into dim_dt (dt) values ('2021-12-06'); insert into dim_dt (dt) values ('2021-12-07'); insert into dim_dt (dt) values ('2021-12-08'); insert into dim_dt (dt) values ('2021-12-09'); insert into dim_dt (dt) values ('2021-12-10'); insert into dim_dt (dt) values ('2021-12-11'); insert into dim_dt (dt) values ('2021-12-12'); insert into dim_dt (dt) values ('2021-12-13'); insert into dim_dt (dt) values ('2021-12-14'); insert into dim_dt (dt) values ('2021-12-15'); insert into dim_dt (dt) values ('2021-12-16'); insert into dim_dt (dt) values ('2021-12-17'); insert into dim_dt (dt) values ('2021-12-18'); insert into dim_dt (dt) values ('2021-12-19'); insert into dim_dt (dt) values ('2021-12-20'); insert into dim_dt (dt) values ('2021-12-21'); insert into dim_dt (dt) values ('2021-12-22'); insert into dim_dt (dt) values ('2021-12-23'); insert into dim_dt (dt) values ('2021-12-24'); insert into dim_dt (dt) values ('2021-12-25'); insert into dim_dt (dt) values ('2021-12-26'); insert into dim_dt (dt) values ('2021-12-27'); insert into dim_dt (dt) values ('2021-12-28'); insert into dim_dt (dt) values ('2021-12-29'); insert into dim_dt (dt) values ('2021-12-30'); insert into dim_dt (dt) values ('2021-12-31');  -- \u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0442\u043e\u0432\u0430\u0440\u043e\u0432 create table dim_product (product varchar(10) not null); insert into dim_product (product) values ('A'); insert into dim_product (product) values ('B'); insert into dim_product (product) values ('C');<\/code><\/pre>\n<\/div>\n<\/details>\n
\u041a\u0430\u043a \u0432\u0438\u0434\u0438\u043c, \u043f\u0440\u043e\u0434\u0430\u0436\u0438 \u0435\u0441\u0442\u044c \u0442\u043e\u043b\u044c\u043a\u043e \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0434\u043d\u0438. \u0412\u0441\u0435 \u043e\u0441\u0442\u0430\u043b\u044c\u043d\u044b\u0435 \u0434\u043d\u0438 \u2013 \u044d\u0442\u043e «\u0440\u0430\u0437\u0440\u044b\u0432\u044b» \u0431\u0435\u0437 \u0434\u0430\u043d\u043d\u044b\u0445. \u0422.\u0435. \u044d\u0442\u043e \u0432\u0430\u0440\u0438\u0430\u043d\u0442 \u043e\u0447\u0435\u043d\u044c \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u043e\u0439 \u0432 SQL \u0437\u0430\u0434\u0430\u0447\u0438 \u043e \u0440\u0430\u0437\u0440\u044b\u0432\u0430\u0445 (gaps and islands problem<\/em>).<\/p>\n
\u041f\u043e\u0441\u0447\u0438\u0442\u0430\u0435\u043c \u043d\u0430\u0440\u0430\u0441\u0442\u0430\u044e\u0449\u0438\u0439 \u0438\u0442\u043e\u0433, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044f \u043e\u043a\u043e\u043d\u043d\u0443\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u044e:<\/p>\n
select          ps.dt       , ps.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by ps.product order by ps.dt), 0) as sales_total from product_sales ps order by ps.product, ps.dt;<\/code><\/pre>\n
<\/figcaption><\/figure>\n
\u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0435\u043d, \u043d\u043e \u0441\u043e\u0445\u0440\u0430\u043d\u044f\u0435\u0442 \u0442\u0435 \u0436\u0435 \u0441\u0430\u043c\u044b\u0435 \u0440\u0430\u0437\u0440\u044b\u0432\u044b, \u0447\u0442\u043e \u0431\u044b\u043b\u0438 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445. \u041a\u0430\u043a \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0442\u044c \u0438\u0442\u043e\u0433\u0438 \u0437\u0430 \u0432\u0441\u0435 \u0434\u043d\u0438 \u0434\u0435\u043a\u0430\u0431\u0440\u044f, \u0434\u0430\u0436\u0435 \u0435\u0441\u043b\u0438 \u0432 \u044d\u0442\u043e\u0442 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0439 \u0434\u0435\u043d\u044c \u043d\u0435 \u0431\u044b\u043b\u043e \u0437\u0430\u043f\u0438\u0441\u0435\u0439 \u0432 \u0438\u0441\u0445\u043e\u0434\u043d\u043e\u0439 \u0442\u0430\u0431\u043b\u0438\u0446\u0435? \u0422.\u0435. \u0442\u0430\u043a, \u0447\u0442\u043e\u0431\u044b \u0443 \u043d\u0430\u0441 \u0432\u044b\u0448\u043b\u043e 93 \u0441\u0442\u0440\u043e\u043a\u0438 \u0437\u0430 \u0434\u0435\u043a\u0430\u0431\u0440\u044c (\u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044f 31 \u0434\u0435\u043d\u044c \u0425 3 \u0432\u0438\u0434\u0430 \u0442\u043e\u0432\u0430\u0440\u043e\u0432). \u0424\u0440\u0430\u0433\u043c\u0435\u043d\u0442 \u043e\u0436\u0438\u0434\u0430\u0435\u043c\u043e\u0433\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430:<\/p>\n
<\/figcaption><\/figure>\n
\u041f\u0440\u043e\u0449\u0435 \u0432\u0441\u0435\u0433\u043e, \u0435\u0441\u043b\u0438 \u0443 \u043d\u0430\u0441 \u0432 \u0431\u0430\u0437\u0435 \u0435\u0441\u0442\u044c \u0442\u0430\u0431\u043b\u0438\u0446\u044b-\u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u0438\u043a\u0438 \u0441\u043e \u0432\u0441\u0435\u043c\u0438 \u0434\u0430\u0442\u0430\u043c\u0438 (\u043a\u0430\u043b\u0435\u043d\u0434\u0430\u0440\u044c) \u0438 \u0441\u043e \u0432\u0441\u0435\u043c\u0438 \u0442\u043e\u0432\u0430\u0440\u0430\u043c\u0438 (\u0441\u043b\u043e\u0432\u0430\u0440\u044c \u0442\u043e\u0432\u0430\u0440\u043e\u0432). \u0422\u043e\u0433\u0434\u0430 \u043c\u044b \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0442\u044c \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 (\u043f\u043e\u043b\u043d\u044b\u0439) \u043d\u0430\u0431\u043e\u0440 \u0441\u043e\u0447\u0435\u0442\u0430\u043d\u0438\u0439 \u0434\u0430\u0442 \u0438 \u0442\u043e\u0432\u0430\u0440\u043e\u0432:<\/p>\n
select           d.dt        , p.product from dim_dt d cross join dim_product p where d.dt between '2021-12-01' and '2021-12-31';<\/code><\/pre>\n
\u0414\u0430\u043b\u0435\u0435 \u043a \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u043e\u043c\u0443 \u043d\u0430\u0431\u043e\u0440\u0443 \u043c\u043e\u0436\u043d\u043e \u043f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u0438\u0442\u044c \u0447\u0435\u0440\u0435\u0437 left join<\/code> \u0442\u0430\u0431\u043b\u0438\u0446\u0443 \u0441 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u043f\u0440\u043e\u0434\u0430\u0436\u0430\u043c\u0438:<\/p>\n
with ideal_combination as     (select               d.dt            , p.product     from dim_dt d     cross join dim_product p     where d.dt between '2021-12-01' and '2021-12-31') select         i.dt       , i.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by i.product order by i.dt), 0) as sales_total from ideal_combination i left join product_sales ps    on i.dt = ps.dt       and i.product = ps.product ;<\/code><\/pre>\n
\u0418\u043b\u0438 \u0435\u0441\u043b\u0438 \u0438\u0437\u0431\u0430\u0432\u0438\u0442\u044c\u0441\u044f \u043e\u0442 CTE \u0432 \u0437\u0430\u043f\u0440\u043e\u0441\u0435:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dim_dt d cross join dim_product p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product where d.dt between '2021-12-01' and '2021-12-31';<\/code><\/pre>\n
\u0412\u043f\u0440\u043e\u0447\u0435\u043c, \u0434\u0430\u043b\u0435\u043a\u043e \u043d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u043d\u0430\u043c \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u044b \u0437\u0430\u0440\u0430\u043d\u0435\u0435 \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u044b\u0435 \u0438 \u0437\u0430\u043f\u043e\u043b\u043d\u0435\u043d\u043d\u044b\u0435 \u0442\u0430\u0431\u043b\u0438\u0446\u044b, \u043a\u0430\u043a dim_dt<\/code> \u0438 dim_product<\/code> \u0432 \u044d\u0442\u043e\u043c \u043f\u0440\u0438\u043c\u0435\u0440\u0435. \u0415\u0441\u043b\u0438 \u0438\u0445 \u0443 \u043d\u0430\u0441 \u043d\u0435\u0442 \u2013 \u043c\u043e\u0436\u043d\u043e \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u043d\u0430\u0431\u043e\u0440\u044b \u0441\u0430\u043c\u0438\u043c.<\/p>\n
\u0421 \u043d\u0430\u0431\u043e\u0440\u043e\u043c \u0442\u043e\u0432\u0430\u0440\u043e\u0432 \u0432\u0441\u0435 \u043f\u0440\u043e\u0441\u0442\u043e — \u044d\u0442\u043e \u043b\u0438\u0431\u043e \u0440\u0443\u0447\u043d\u043e\u0439 \u0432\u0432\u043e\u0434 \u043a\u0430\u043a<\/p>\n
          select 'A' as product  union all select 'B'  union all select 'C' ;<\/code><\/pre>\n
\u0438\u043b\u0438 \u0436\u0435 \u0438\u0437\u0432\u043b\u0435\u0447\u0435\u043d\u0438\u0435 \u0443\u043d\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0445 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0439 \u0442\u043e\u0432\u0430\u0440\u043e\u0432 \u0438\u0437 \u0442\u0430\u0431\u043b\u0438\u0446\u044b \u043f\u0440\u043e\u0434\u0430\u0436 \u043f\u043e \u0434\u043d\u044f\u043c:<\/p>\n
select distinct product from product_sales;<\/code><\/pre>\n
\u0410 \u0432\u043e\u0442 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u0442 \u0431\u0443\u0434\u0435\u0442 \u0441\u043f\u0435\u0446\u0438\u0444\u0438\u0447\u043d\u0430 \u0434\u043b\u044f \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u043e\u0439 \u0421\u0423\u0411\u0414. \u041f\u0440\u043e\u0449\u0435 \u0432\u0441\u0435\u0433\u043e \u0441  PostgreSQL, \u0433\u0434\u0435 \u0435\u0441\u0442\u044c \u0444\u0443\u043d\u043a\u0446\u0438\u0438 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 (set returning functions<\/a>):<\/p>\n
select t.dt::date as dt from generate_series('2021-12-01', '2021-12-31', interval  '1 day') as t(dt);  -- \u0438\u043b\u0438 \u0442\u043e\u0436\u0435 \u0441\u0430\u043c\u043e\u0435 \u0447\u0443\u0442\u044c \u043a\u043e\u0440\u043e\u0447\u0435: select generate_series('2021-12-01', '2021-12-31', interval '1 day')::date as dt;<\/code><\/pre>\n
\u0421\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0435\u043d\u043d\u043e, \u043f\u043e\u043b\u043d\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441 \u0432 PostgreSQL \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0442\u0430\u043a:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from (select generate_series('2021-12-01', '2021-12-31', interval '1 day')::date as dt) d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0431\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u0435 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 generate_series<\/code> \u0438\u043b\u0438 \u0435\u0451 \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u0430 \u043d\u0435\u0442, \u0442\u0430\u043a \u0447\u0442\u043e \u043f\u0440\u0438\u0434\u0435\u0442\u0441\u044f \u0432\u043e\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u043c CTE. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 SQL Server \u043c\u044b \u0432\u043e\u0437\u044c\u043c\u0435\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u0443\u044e \u0434\u0430\u0442\u0443 \u043f\u0435\u0440\u0438\u043e\u0434\u0430 \u043a\u0430\u043a select '2021-12-01'<\/code>, \u0438 \u0431\u0443\u0434\u0435\u043c \u043f\u0440\u0438\u0431\u0430\u0432\u043b\u044f\u0442\u044c \u043a \u043d\u0435\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0434\u043d\u044e \u043f\u0440\u0438 \u043f\u043e\u043c\u043e\u0449\u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0438 dateadd<\/code>, \u043f\u043e\u043a\u0430 \u043d\u0435 \u0434\u043e\u0441\u0442\u0438\u0433\u043d\u0435\u043c \u043a\u043e\u043d\u0446\u0430 \u043f\u0435\u0440\u0438\u043e\u0434\u0430 (where dt <= '2021-12-31'<\/code>):<\/p>\n
with dates_range (dt) as     (     select convert(date, '2021-12-01', 102) as dt     union all     select dateadd(day, 1, dt)      from dates_range     where dt <=  convert(date, '2021-12-31', 102)     ) select * from dates_range<\/code><\/pre>\n
<\/figcaption><\/figure>\n
\u0410 \u0438\u0442\u043e\u0433\u043e\u0432\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441 \u0431\u0443\u0434\u0435\u0442 \u0432\u044b\u0433\u043b\u044f\u0434\u0435\u0442\u044c \u0442\u0430\u043a:<\/p>\n
with dates_range (dt) as     (     select convert(date, '2021-12-01', 102) as dt     union all     select dateadd(day, 1, dt)      from dates_range     where dt <=  convert(date, '2021-12-31', 102)     ) select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dates_range d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414, \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u044e\u0449\u0438\u0445 \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0435 CTE, \u0437\u0430\u043f\u0440\u043e\u0441 \u0431\u0443\u0434\u0435\u0442 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0442\u0430\u043a\u0438\u043c \u0436\u0435. \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0437\u0430\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0442\u043e\u043b\u044c\u043a\u043e \u0432 \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u0442\u0430\u043c\u0438 (\u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e \u043f\u0440\u0438\u043c\u0435\u043d\u0438\u0442\u044c \u044d\u043a\u0432\u0438\u0432\u0430\u043b\u0435\u043d\u0442\u044b convert<\/code> \u0438 dateadd<\/code> \u0438\u0437 SQL Server). \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 PostgreSQL :<\/p>\n
with recursive dates_range (dt) as     (     select '2021-12-01'::date as dt     union all     select (dt + interval '1 day')::date     from dates_range     where dt <= '2021-12-31'::date     ) select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from dates_range d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u041f\u0440\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0438 \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0445 CTE \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u043f\u043e\u043c\u043d\u0438\u0442\u044c, \u0447\u0442\u043e \u0432 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 \u0421\u0423\u0411\u0414 \u0438\u0445 \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u0430\u044f \u0433\u043b\u0443\u0431\u0438\u043d\u0430 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0430. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0435 \u043f\u043e \u0443\u043c\u043e\u043b\u0447\u0430\u043d\u0438\u044e \u0434\u043b\u044f MySQL 8.0 \u2013 1000 \u0438\u0442\u0435\u0440\u0430\u0446\u0438\u0439 (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 cte_max_recursion_depth<\/code>), \u0430 \u0434\u043b\u044f SQL Server 2014+ \u2013 100 \u0438\u0442\u0435\u0440\u0430\u0446\u0438\u0439 (\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440 MAXRECURSION<\/code>).<\/p>\n
\u0412 Oracle DB \u0440\u0435\u043a\u0443\u0440\u0441\u0438\u0432\u043d\u044b\u0435 CTE \u043c\u043e\u0433\u0443\u0442 \u0431\u044b\u0442\u044c \u0437\u0430\u043c\u0435\u043d\u0435\u043d\u044b \u043f\u0440\u043e\u043f\u0440\u0438\u0435\u0442\u0430\u0440\u043d\u043e\u0439 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0438\u0435\u0440\u0430\u0440\u0445\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0447\u0435\u0440\u0435\u0437 connect by<\/code>. \u0422\u0430\u043a \u0447\u0442\u043e \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d \u0434\u0430\u0442 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u0442\u0441\u044f \u043a\u0430\u043a<\/p>\n
select (to_date('2021-12-31', 'YYYY-MM-DD') - level + 1) as dt from dual connect by level <= (to_date('2021-12-31', 'YYYY-MM-DD') - to_date('2021-12-01', 'YYYY-MM-DD') + 1);<\/code><\/pre>\n
\u0410 \u0437\u0430\u043f\u0440\u043e\u0441 \u043f\u0440\u0438\u043e\u0431\u0440\u0435\u0442\u0430\u0435\u0442 \u0432\u0438\u0434:<\/p>\n
select         d.dt       , p.product       , coalesce(ps.sales, 0) as sales       , coalesce(sum(ps.sales) over (partition by p.product order by d.dt), 0) as sales_total from      (     select (to_date('2021-12-31', 'YYYY-MM-DD') - level + 1) as dt     from dual     connect by level <= (to_date('2021-12-31', 'YYYY-MM-DD') - to_date('2021-12-01', 'YYYY-MM-DD') + 1)     ) d cross join (select distinct product from product_sales) p left join product_sales ps    on d.dt = ps.dt       and p.product = ps.product ;<\/code><\/pre>\n
\u0412 \u0434\u0440\u0443\u0433\u0438\u0445 \u0421\u0423\u0411\u0414 \u043c\u043e\u0433\u0443\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0430\u043b\u044c\u0442\u0435\u0440\u043d\u0430\u0442\u0438\u0432\u043d\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u0441\u0438\u043d\u0442\u0430\u043a\u0441\u0438\u0441\u0430, \u043d\u043e \u043e\u0431\u0449\u0430\u044f \u0438\u0434\u0435\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u0445\u043e\u0436\u0435\u0439: \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u0443\u0435\u043c \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 \u043d\u0430\u0431\u043e\u0440 \u0438 \u043f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u043a \u043d\u0435\u043c\u0443 \u0447\u0435\u0440\u0435\u0437 left join<\/code> \u0441\u0432\u043e\u0438 \u0444\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0435.<\/p>\n<\/div>\n<\/div>\n
  
 \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438  https:\/\/habr.com\/ru\/post\/597963\/<\/a>
<\/br><\/br><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-327380","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/327380","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=327380"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/327380\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=327380"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=327380"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=327380"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}