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seeds.sql
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seeds.sql
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-- Creates new rows containing data in all named columns --
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Origin", "Books & Audible", 17.96 , 32);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Nizoral A-D Anti-Dandruff Shampoo, 7 Oz", "Beauty & Health", 14.10, 12);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Bob's Red Mill Oat Bran Cereal, 18 oz", "Food & Grocery", 7.29, 34);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Invictus", "Books & Audible", 13.29, 5);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Giraffes Can't Dance", "Books & Audible", 5.33, 20);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Doritos Nacho Cheese Flavored Tortilla Chip, 15 oz", "Food & Grocery", 4.55, 75);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Special K Kellogg's Cereal, Red Berries, 16.90 Oz", "Food & Grocery", 3.99, 60);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Kellogg's Breakfast Cereal Assortment Pack", "Food & Grocery", 16.94, 50);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("Neutrogena Anti-Residue Shampoo, 6 Fl. Oz.", "Beauty & Health", 4.65, 15);
INSERT INTO products
(product_name, department_name, price, stock_quantity)
VALUES
("The Honest Spy", "Books & Audible", 10.79, 4);
INSERT INTO departments
(department_name, over_head_costs)
VALUES
("Books & Audible", 100);
INSERT INTO departments
(department_name, over_head_costs)
VALUES
("Beauty & Health", 200);
INSERT INTO departments
(department_name, over_head_costs)
VALUES
("Food & Grocery", 150);
INSERT INTO departments
(department_name, over_head_costs)
VALUES
("Sports & Outdoors", 500);
INSERT INTO departments
(department_name, over_head_costs)
VALUES
("Electronics", 300);