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CREATE TABLE logistics ( id SERIAL PRIMARY KEY, time_stamp DATE, product VARCHAR(255), quantity INT ); INSERT INTO logistics (time_stamp, product, quantity) VALUES ('2020-01-14', 'Product_A', '100'), ('2020-01-14', 'Product_B', '300'), ('2020-01-15', 'Product_B', '400'), ('2020-01-15', 'Product_C', '350'), ('2020-01-16', 'Product_B', '530'), ('2020-01-16', 'Product_C', '250'), ('2020-01-16', 'Product_D', '670'), ('2020-01-17', 'Product_C', '380'), ('2020-01-17', 'Product_D', '980'), ('2020-01-17', 'Product_E', '700'), ('2020-01-17', 'Product_F', '450');
11 rows affected
SELECT t1.time_stamp AS time_stamp, t1.product AS product, SUM(t1.difference) AS difference FROM (SELECT l.time_stamp AS time_stamp, l.product AS product, Coalesce(l.quantity-LAG(l.quantity) OVER (Partition by l.product ORDER BY l.product, l.time_stamp), l.quantity) AS difference FROM logistics l ORDER BY 1,2) t1 WHERE t1.difference < 0 GROUP BY 1,2 ORDER BY 1,2;
time_stamp
product
difference
2020-01-16
Product_C
-100