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--PostgreSQL 9.6 --'\\' is a delimiter CREATE TABLE customers_1 ("customerid" int, "country" varchar(11)) ; INSERT INTO customers_1 ("customerid", "country") VALUES (1, 'Germany'), (2, 'Mexico'), (3, 'Mexico'), (4, 'UK'), (5, 'Sweden'), (6, 'Germany'), (7, 'France'), (8, 'Spain'), (9, 'France'), (10, 'Canada'), (11, 'UK'), (12, 'Argentina'), (13, 'Mexico'), (14, 'Switzerland'), (15, 'Brazil'), (16, 'UK'), (17, 'Germany'), (18, 'France'), (19, 'UK'), (20, 'Austria') ; CREATE TABLE categories_1 ("categoryid" int, "categoryname" varchar(14)) ; INSERT INTO categories_1 ("categoryid", "categoryname") VALUES (1, 'Beverages'), (2, 'Condiments'), (3, 'Confections'), (4, 'Dairy Products'), (5, 'Grains/Cereals'), (6, 'Meat/Poultry'), (7, 'Produce'), (8, 'Seafood') ; CREATE TABLE employees_1 ("employeeid" int, "birthdate" timestamp) ; INSERT INTO employees_1 ("employeeid", "birthdate") VALUES (1, '1968-12-08'), (2, '1952-02-19'), (3, '1963-08-30'), (4, '1958-09-19'), (5, '1955-03-04') ; CREATE TABLE orderdetails_1 ("orderid" int, "productid" int, "quantity" int) ; INSERT INTO orderdetails_1 ("orderid", "productid", "quantity") VALUES (10248, 11, 12), (10248, 42, 10), (10248, 72, 5), (10249, 14, 9), (10249, 51, 40), (10250, 41, 10), (10250, 51, 35), (10250, 65, 15), (10251, 22, 6), (10251, 57, 15), (10251, 65, 20), (10252, 20, 40), (10252, 33, 25), (10252, 60, 40), (10253, 31, 20), (10253, 39, 42), (10253, 49, 40), (10254, 24, 15), (10254, 55, 21), (10254, 74, 21), (10255, 2, 20), (10255, 16, 35), (10255, 36, 25), (10255, 59, 30), (10256, 53, 15), (10256, 77, 12), (10257, 27, 25), (10257, 39, 6), (10257, 77, 15), (10258, 2, 50), (10258, 5, 65), (10258, 32, 6), (10259, 21, 10), (10259, 37, 1), (10260, 41, 16), (10260, 57, 50), (10260, 62, 15), (10260, 70, 21), (10261, 21, 20), (10261, 35, 20), (10262, 5, 12), (10262, 7, 15), (10262, 56, 2), (10263, 16, 60), (10263, 24, 28), (10263, 30, 60), (10263, 74, 36), (10264, 2, 35), (10264, 41, 25), (10265, 17, 30), (10265, 70, 20), (10266, 12, 12), (10267, 40, 50), (10267, 59, 70), (10267, 76, 15), (10268, 29, 10), (10268, 72, 4), (10269, 33, 60), (10269, 72, 20), (10270, 36, 30), (10270, 43, 25), (10271, 33, 24), (10272, 20, 6), (10272, 31, 40), (10272, 72, 24), (10273, 10, 24), (10273, 31, 15), (10273, 33, 20), (10273, 40, 60), (10273, 76, 33), (10274, 71, 20), (10274, 72, 7), (10275, 24, 12), (10275, 59, 6), (10276, 10, 15), (10276, 13, 10), (10277, 28, 20), (10277, 62, 12), (10278, 44, 16), (10278, 59, 15), (10278, 63, 8), (10278, 73, 25), (10279, 17, 15), (10280, 24, 12), (10280, 55, 20), (10280, 75, 30), (10281, 19, 1), (10281, 24, 6), (10281, 35, 4), (10282, 30, 6), (10282, 57, 2), (10283, 15, 20), (10283, 19, 18), (10283, 60, 35), (10283, 72, 3), (10284, 27, 15), (10284, 44, 21), (10284, 60, 20), (10284, 67, 5) ; CREATE TABLE orders_1 ("orderid" int, "customerid" int) ; INSERT INTO orders_1 ("orderid", "customerid") VALUES (10248, 90), (10249, 81), (10250, 34), (10251, 84), (10252, 76), (10253, 34), (10254, 14), (10255, 68), (10256, 88), (10257, 35), (10258, 20), (10259, 13), (10260, 55), (10261, 61), (10262, 65), (10263, 20), (10264, 24), (10265, 7), (10266, 87) ; CREATE TABLE products_1 ("productid" int, "categoryid" int, "price" int) ; INSERT INTO products_1 ("productid", "categoryid", "price") VALUES (1, 1, 18), (2, 1, 19), (3, 2, 10), (4, 2, 22), (5, 2, 21.35), (6, 2, 25), (7, 7, 30), (8, 2, 40), (9, 6, 97), (10, 8, 31), (11, 4, 21), (12, 4, 38), (13, 8, 6), (14, 7, 23.25), (15, 2, 15.5), (16, 3, 17.45), (17, 6, 39), (18, 8, 62.5), (19, 3, 9.2), (20, 3, 81), (21, 3, 10), (22, 5, 21), (23, 5, 9), (24, 1, 4.5), (25, 3, 14), (26, 3, 31.23), (27, 3, 43.9), (28, 7, 45.6), (29, 6, 123.79), (30, 8, 25.89), (31, 4, 12.5), (32, 4, 32), (33, 4, 2.5), (34, 1, 14), (35, 1, 18), (36, 8, 19), (37, 8, 26), (38, 1, 263.5), (39, 1, 18), (40, 8, 18.4), (41, 8, 9.65), (42, 5, 14), (43, 1, 46), (44, 2, 19.45), (45, 8, 9.5), (46, 8, 12), (47, 3, 9.5), (48, 3, 12.75), (49, 3, 20) ;
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stackoverflow example for 47702144
How i can get the difference of closest two date in two table join in postgresql
Recursive inefficiency
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Q4
Library Query
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Transform sequential key value data to row based key value data