SQL Queries of our project
SELECT *
FROM item_category;
create view that reference all items
CREATE OR REPLACE VIEW all_items AS
SELECT *
FROM item_item;
create view that reference to items filtered by category
CREATE OR REPLACE VIEW filtered_by_category AS
SELECT *
FROM all_items
WHERE category_id = %s;
get all items that match the search query
SELECT *
FROM filtered_by_category
WHERE name LIKE ' %s' OR description LIKE ' %s' ;
get all items from 'filtered_by_category' view
SELECT *
FROM filtered_by_category;
get all items that match the search query
SELECT *
FROM all_items
WHERE name LIKE %s OR description LIKE %s;
SELECT *
FROM item_item
WHERE id = %s
get the user who created the item (the seller)
SELECT users .username
FROM auth_user AS users, item_item AS items
WHERE items .id = %s AND items .created_by_id = users .id
get all non sold items that are in the same category with the item
SELECT *
FROM item_item
WHERE category_id = %s AND is_sold = False AND id != %s
INSERT INTO item_item (category_id, name, description, price, image, created_by_id, is_sold, created_at)
VALUES (%s, %s, %s, %s, %s, %s, False, CURRENT_TIMESTAMP )
update the item with new information
UPDATE item_item
SET name = %s,
description = %s,
price = %s,
image = %s,
is_sold = %s
WHERE id = %s;
DELETE FROM item_item
WHERE id = %s