Sådan beregnes omsætningen hvert semester

Her kan du se den forenklede definition og løsning af dit problem (hvis jeg har forstået dig rigtigt):http ://sqlfiddle.com/#!9/48a2e1/1

CREATE TABLE foundry
(
    lru varchar(50) NOT NULL,
    client int  NOT NULL,
    purchase_date date,
    price int NOT NULL
);

INSERT INTO foundry (lru, client, purchase_date, price) VALUES
("article1", 4001, "01-01-16", 100),
("article1", 4001, "01-01-17", 200),
("article1", 4001, "01-02-16", 300),
("article1", 4001, "01-04-16", 400),
("article1", 4001, "01-06-16", 500),
("article1", 4001, "01-08-16", 600),
("article1", 4001, "01-10-16", 700),
("article1", 4001, "01-11-16", 800),
("article1", 4002, "01-01-16", 900),
("article1", 4002, "01-07-16", 1000),
("article1", 4002, "01-12-16", 1100);

Grundlæggende har vi en tabel med fire kolonner:lru (artikelnavn), klient, købsdato og en vis pris.

Løsningen ser sådan ud:

SELECT lru, client, avg(price), COUNT(*) as total_items,
MONTHNAME(STR_TO_DATE(L, '%m')) as start_month, MONTHNAME(STR_TO_DATE(R, '%m')) as end_month FROM foundry,
(
  SELECT 1 as L, 6 as R
    UNION ALL
  SELECT 2, 7
    UNION ALL
  SELECT 3, 8
    UNION ALL
  SELECT 4, 9
    UNION ALL
  SELECT 5, 10
    UNION ALL
  SELECT 6, 11
    UNION ALL
  SELECT 7, 12
) months
WHERE month(purchase_date) >= L AND month(purchase_date) <= R
GROUP BY lru, client, L, R

Ideen er:

1. Generer alle mulige kombinationer af måneder:1-6, 2-7, ..., 7,12
2. Tilslut kildedata med genereret måneders kombination
3. Brug AVG med GROUP BY

Og resultatet:

lru     client  avg(price)  total_items     start_month     end_month
article1    4001    300     5   January     June
article1    4001    400     3   February    July
article1    4001    500     3   March   August
article1    4001    500     3   April   September
article1    4001    600     3   May     October
article1    4001    650     4   June    November
article1    4001    700     3   July    December
article1    4002    900     1   January     June
article1    4002    1000    1   February    July
article1    4002    1000    1   March   August
article1    4002    1000    1   April   September
article1    4002    1000    1   May     October
article1    4002    1000    1   June    November
article1    4002    1050    2   July    December