| 1 | -- CATEGORY
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| 2 |
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| 3 |
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| 4 | truncate table category cascade
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| 5 |
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| 6 |
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| 7 | ALTER SEQUENCE category_category_id_seq RESTART WITH 1;
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| 8 |
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| 9 |
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| 10 |
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| 11 | INSERT INTO Category (name, description, parent_category) VALUES
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| 12 | -- Главни категории
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| 13 | ('Fashion', 'Main fashion category', NULL),
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| 14 | ('Electronics', 'Electronics and gadgets', NULL),
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| 15 | ('Home & Garden', 'Home and garden products', NULL),
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| 16 | ('Sports & Outdoors', 'Sports and outdoor equipment', NULL),
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| 17 | ('Books And More', 'Main category for books and printed media', NULL),
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| 18 | ('Automotive', 'Vehicles and car-related products', NULL),
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| 19 | ('Real Estate', 'Properties and real estate listings', NULL)
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 | INSERT INTO Category (name, description, parent_category) VALUES
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| 26 | ('Clothing', 'Clothing items', 1),
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| 27 | ('Shoes', 'Footwear', 1),
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| 28 | ('Accessories', 'Fashion accessories', 1),
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| 29 | ('T-Shirts', 'T-shirts products', 8),
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| 30 | ('Shirts', 'Formal & casual shirts', 8),
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| 31 | ('Jeans', 'Denim pants', 8),
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| 32 | ('Jackets', 'Coats & jackets', 8),
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| 33 | ('Dresses', 'Women dresses', 8),
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| 34 | ('Sneakers', 'Casual shoes', 9),
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| 35 | ('Boots', 'Winter/Leather boots', 9),
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| 36 | ('Heels', 'Women heels', 9),
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| 37 | ('Bags', 'Handbags / backpacks', 10),
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| 38 | ('Belts', 'Fashion belts', 10),
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| 39 | ('Hats', 'Caps / hats', 10),
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| 40 | ('Watches', 'Watches and timepieces', 10),
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| 41 | ('Sunglasses', 'Sunglasses and eyewear', 10)
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 | INSERT INTO Category (name, description, parent_category) values
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| 48 | -- Electronics
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| 49 | ('Phones', 'Mobile phones', 2),
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| 50 | ('Smartphones', 'Smartphones', 24),
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| 51 | ('Feature Phones', 'Feature phones', 24),
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| 52 | ('Computers', 'Computers and peripherals', 2),
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| 53 | ('Laptops', 'Laptop computers', 27),
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| 54 | ('Desktops', 'Desktop computers', 27),
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| 55 | ('Tablets', 'Tablet devices', 27),
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| 56 | ('TV & Audio', 'Televisions and audio', 2),
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| 57 | ('Televisions', 'TV sets', 31),
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| 58 | ('Speakers', 'Audio speakers', 31),
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| 59 | ('Headphones', 'Headphones and earphones', 31),
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| 60 | ('Gaming', 'Gaming products', 2),
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| 61 | ('Consoles', 'Gaming consoles', 35),
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| 62 | ('Games', 'Video games', 35),
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| 63 | ('Gaming Accessories', 'Gaming accessories', 35),
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| 64 | ('Home Appliances', 'Home appliances', 2),
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| 65 | ('Kitchen Appliances', 'Kitchen appliances', 39),
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| 66 | ('Refrigerators', 'Refrigerators', 40),
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| 67 | ('Ovens', 'Ovens', 40),
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| 68 | ('Microwaves', 'Microwaves', 40),
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| 69 | ('Coffee Machines', 'Coffee machines', 40),
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| 70 | ('Cleaning', 'Cleaning appliances', 39),
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| 71 | ('Vacuum Cleaners', 'Vacuum cleaners', 44),
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| 72 | ('Steam Cleaners', 'Steam cleaners', 44),
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| 73 | ('Laundry', 'Laundry appliances', 39),
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| 74 | ('Washing Machines', 'Washing machines', 46),
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| 75 | ('Dryers', 'Dryers', 46),
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| 76 | ('Climate', 'Climate control', 39),
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| 77 | ('Air Conditioners', 'Air conditioners', 48),
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| 78 | ('Heaters', 'Heaters', 48),
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| 79 | ('Small Appliances', 'Small appliances', 39),
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| 80 | ('Irons', 'Irons', 51),
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| 81 | ('Kettles', 'Kettles', 51),
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| 82 | ('Fans', 'Fans', 51),
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| 83 |
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| 84 | -- Home & Garden
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| 85 | ('Home Living', 'Home living products', 3),
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| 86 | ('Furniture & Seating', 'Furniture and seating', 55),
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| 87 | ('Storage & Organization', 'Storage solutions', 55),
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| 88 | ('Lighting & Ambience', 'Lighting products', 55),
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| 89 | ('Textiles & Comfort', 'Textiles and comfort items', 55),
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| 90 | ('Home Essentials', 'Home essential products', 3),
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| 91 | ('Kitchen & Dining', 'Kitchen and dining products', 60),
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| 92 | ('Cleaning & Maintenance', 'Cleaning products', 60),
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| 93 | ('Laundry Care', 'Laundry care products', 60),
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| 94 | ('Outdoor & Garden', 'Outdoor and garden products', 3),
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| 95 | ('Garden Tools', 'Garden tools', 63),
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| 96 | ('Plants & Pots', 'Plants and pots', 63),
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| 97 | ('Outdoor Furniture', 'Outdoor furniture', 63),
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| 98 | ('BBQ & Cooking', 'BBQ and outdoor cooking', 63),
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| 99 | ('Home Improvement', 'Home improvement products', 3),
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| 100 | ('Tools & Hardware', 'Tools and hardware', 68),
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| 101 | ('Paint & Decor Materials', 'Paint and decoration', 68),
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| 102 | ('Electrical & Plumbing', 'Electrical and plumbing', 68),
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| 103 | ('Storage Installation', 'Storage installation', 68),
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| 104 | ('Smart Home', 'Smart home products', 3),
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| 105 | ('Smart Lighting', 'Smart lighting', 73),
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| 106 | ('Security Cameras', 'Security cameras', 73),
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| 107 | ('Smart Sensors', 'Smart sensors', 73),
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| 108 | ('Home Automation Devices', 'Home automation', 73),
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| 109 |
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| 110 | -- Sports & Outdoors
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| 111 | ('Fitness', 'Fitness equipment', 4),
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| 112 | ('Cardio Equipment', 'Cardio equipment', 78),
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| 113 | ('Strength Training', 'Strength training equipment', 78),
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| 114 | ('Yoga & Pilates', 'Yoga and pilates equipment', 78),
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| 115 | ('Outdoor', 'Outdoor activities', 4),
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| 116 | ('Camping & Hiking', 'Camping and hiking gear', 82),
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| 117 | ('Cycling', 'Cycling equipment', 82),
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| 118 | ('Water Sports', 'Water sports equipment', 82),
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| 119 |
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| 120 | -- Books And More
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| 121 | ('Books', 'Books', 5),
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| 122 | ('Catalogs', 'Catalogs', 5),
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| 123 | ('Comics', 'Comics', 5),
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| 124 | ('Magazines', 'Magazines', 5),
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| 125 |
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| 126 | -- Automotive
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| 127 | ('Car Parts', 'Vehicle spare parts', 6),
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| 128 | ('Motorcycles', 'Motorcycles and parts', 6),
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| 129 | ('Cars', 'Passenger vehicles', 6),
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| 130 | ('Trucks', 'Heavy vehicles', 6),
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| 131 | ('Car Electronics', 'Electronics for vehicles', 6),
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| 132 | ('Tires & Wheels', 'Car tires and wheels', 6),
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| 133 | ('Car Accessories', 'Interior and exterior accessories', 6),
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| 134 | ('Car Care', 'Cleaning and maintenance products', 6),
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| 135 | ('Engine Parts', 'Engine components', 90),
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| 136 | ('Brake Parts', 'Brake system components', 90),
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| 137 | ('Suspension', 'Suspension system parts', 90),
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| 138 |
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| 139 | -- Real Estate
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| 140 | ('Residential', 'Living properties', 7),
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| 141 | ('Apartments', 'Apartments and flats', 101),
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| 142 | ('Houses', 'Houses and villas', 101),
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| 143 | ('Commercial', 'Business properties', 7),
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| 144 | ('Offices', 'Office spaces', 104),
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| 145 | ('Shops', 'Retail spaces', 104),
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| 146 | ('Land', 'Plots and land', 7),
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| 147 | ('Agricultural Land', 'Farming land', 107),
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| 148 | ('Construction Land', 'Land for building', 107);
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| 149 |
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| 150 |
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| 151 |
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| 152 |
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| 153 | SELECT * FROM category ORDER BY category_id;
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| 154 |
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| 155 |
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| 156 |
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| 157 |
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| 158 | UPDATE category SET parent_category = 58 WHERE category_id IN (59,60,61,62);
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| 159 | UPDATE category SET parent_category = 63 WHERE category_id IN (64,65,66);
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| 160 | UPDATE category SET parent_category = 67 WHERE category_id IN (68,69,70,71);
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| 161 | UPDATE category SET parent_category = 72 WHERE category_id IN (73,74,75,76);
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| 162 | UPDATE category SET parent_category = 77 WHERE category_id IN (78,79,80,81);
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| 163 | UPDATE category SET parent_category = 82 WHERE category_id IN (83,84,85);
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| 164 | UPDATE category SET parent_category = 86 WHERE category_id IN (87,88,89);
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| 165 | UPDATE category SET parent_category = 94 WHERE category_id IN (102,103,104);
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| 166 | UPDATE category SET parent_category = 105 WHERE category_id IN (106,107);
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| 167 | UPDATE category SET parent_category = 108 WHERE category_id IN (109,110);
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| 168 | UPDATE category SET parent_category = 111 WHERE category_id IN (112,113);
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| 169 |
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| 170 |
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| 171 |
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| 172 |
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| 173 |
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| 174 | --CATEGORY ATRIBUTES
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| 175 |
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| 176 | truncate table CategoryAttributes cascade;
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| 177 |
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| 178 |
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| 179 | ALTER SEQUENCE categoryattributes_category_attribute_id_seq RESTART WITH 1;
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| 180 |
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| 181 | INSERT INTO CategoryAttributes (category_id, attribute_name) VALUES
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| 182 | -- T-Shirts (5)
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| 183 | (11, 'Size'),(11, 'Color'),(11, 'Gender'),(11, 'Brand'),(11, 'Material'),(11, 'Fit'),(11, 'Condition'),
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| 184 | -- Shirts (6)
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| 185 | (12, 'Size'),(12, 'Color'),(12, 'Gender'),(12, 'Brand'),(12, 'Sleeve Type'),(12, 'Material'),(12, 'Fit'),(12, 'Condition'),
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| 186 | -- Jeans (7)
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| 187 | (13, 'Waist Size'),(13, 'Length'),(13, 'Fit'),(13, 'Color'),(13, 'Gender'),(13, 'Brand'),(13, 'Condition'),
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| 188 | -- Jackets (8)
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| 189 | (14, 'Size'),(14, 'Color'),(14, 'Gender'),(14, 'Material'),(14, 'Type'),(14, 'Brand'),(14, 'Condition'),
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| 190 | -- Dresses (9)
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| 191 | (15, 'Size'),(15, 'Color'),(15, 'Gender'),(15, 'Brand'),(15, 'Material'),(15, 'Occasion'),(15, 'Length'),(15, 'Condition'),
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| 192 | -- Sneakers (10)
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| 193 | (16, 'Size'),(16, 'Color'),(16, 'Gender'),(16, 'Brand'),(16, 'Material'),(16, 'Sport Type'),(16, 'Condition'),
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| 194 | -- Boots (11)
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| 195 | (17, 'Size'),(17, 'Color'),(17, 'Gender'),(17, 'Material'),(17, 'Waterproof'),(17, 'Brand'),(17, 'Condition'),
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| 196 | -- Heels (12)
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| 197 | (18, 'Size'),(18, 'Heel Height'),(18, 'Color'),(18, 'Gender'),(18, 'Brand'),(18, 'Material'),(18, 'Condition'),
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| 198 | -- Bags (13)
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| 199 | (19, 'Type'),(19, 'Material'),(19, 'Color'),(19, 'Gender'),(19, 'Brand'),(19, 'Size'),(19, 'Condition'),
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| 200 | -- Belts (14)
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| 201 | (20, 'Material'),(20, 'Color'),(20, 'Size'),(20, 'Gender'),(20, 'Brand'),(20, 'Condition'),
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| 202 | -- Hats (15)
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| 203 | (21, 'Size'),(21, 'Color'),(21, 'Material'),(21, 'Gender'),(21, 'Brand'),(21, 'Condition'),
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| 204 | -- Watches (16)
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| 205 | (22, 'Brand'),(22, 'Gender'),(22, 'Strap Material'),(22, 'Case Material'),(22, 'Movement Type'),(22, 'Water Resistance'),(22, 'Color'),(22, 'Condition'),
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| 206 | -- Sunglasses (17)
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| 207 | (23, 'Brand'),(23, 'Gender'),(23, 'Frame Type'),(23, 'Lens Color'),(23, 'UV Protection'),(23, 'Material'),(23, 'Condition');
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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| 212 |
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| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 | INSERT INTO CategoryAttributes (category_id, attribute_name) VALUES
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| 219 | -- Smartphones (25)
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| 220 | (25, 'Brand'),(25, 'RAM'),(25, 'Storage'),(25, 'Screen Size'),(25, 'Battery'),(25, 'Camera'),(25, '5G Support'),(25, 'Color'),(25, 'Condition'),
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| 221 | -- Feature Phones (26)
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| 222 | (26, 'Brand'),(26, 'Battery'),(26, 'Color'),(26, 'Condition'),
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| 223 | -- Laptops (28)
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| 224 | (28, 'Brand'),(28, 'CPU'),(28, 'GPU'),(28, 'RAM'),(28, 'Storage'),(28, 'Screen Size'),(28, 'Type'),(28, 'Condition'),
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| 225 | -- Desktops (29)
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| 226 | (29, 'Brand'),(29, 'CPU'),(29, 'GPU'),(29, 'RAM'),(29, 'Storage'),(29, 'Condition'),
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| 227 | -- Televisions (32)
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| 228 | (32, 'Brand'),(32, 'Size'),(32, 'Resolution'),(32, 'Smart TV'),(32, 'Refresh Rate'),(32, 'Condition'),
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| 229 | -- Speakers (33)
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| 230 | (33, 'Brand'),(33, 'Type'),(33, 'Connectivity'),(33, 'Power Output'),(33, 'Condition'),
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| 231 | -- Headphones (34)
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| 232 | (34, 'Brand'),(34, 'Type'),(34, 'Noise Cancelling'),(34, 'Battery Life'),(34, 'Condition'),
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| 233 | -- Consoles (36)
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| 234 | (36, 'Brand'),(36, 'Storage'),(36, 'Generation'),(36, 'Bundle Type'),(36, 'Condition'),
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| 235 | -- Games (37)
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| 236 | (37, 'Platform'),(37, 'Genre'),(37, 'Age Rating'),(37, 'Condition'),
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| 237 | -- Refrigerators (41)
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| 238 | (41, 'Brand'),(41, 'Capacity (L)'),(41, 'Type'),(41, 'Energy Class'),(41, 'Color'),(41, 'Inverter'),(41, 'Condition'),
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| 239 | -- Ovens (42)
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| 240 | (42, 'Brand'),(42, 'Type'),(42, 'Capacity'),(42, 'Energy Source'),(42, 'Color'),(42, 'Condition'),
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| 241 | -- Coffee Machines (44)
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| 242 | (44, 'Brand'),(44, 'Type'),(44, 'Pressure'),(44, 'Water Tank Size'),(44, 'Condition'),
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| 243 | -- Vacuum Cleaners (46)
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| 244 | (46, 'Brand'),(46, 'Type'),(46, 'Power'),(46, 'Bagless'),(46, 'Battery Life'),(46, 'Condition'),
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| 245 | -- Washing Machines (49)
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| 246 | (49, 'Brand'),(49, 'Capacity (kg)'),(49, 'Spin Speed'),(49, 'Energy Class'),(49, 'Type'),(49, 'Condition'),
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| 247 | -- Air Conditioners (52)
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| 248 | (52, 'Brand'),(52, 'BTU'),(52, 'Inverter'),(52, 'Energy Class'),(52, 'Condition'),
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| 249 | -- Irons (55)
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| 250 | (55, 'Brand'),(55, 'Power'),(55, 'Steam'),(55, 'Plate Type'),(55, 'Condition');
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| 251 |
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| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 | INSERT INTO CategoryAttributes (category_id, attribute_name) VALUES
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| 257 | -- Furniture & Seating (59)
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| 258 | (59, 'Condition'),(59, 'Material'),(59, 'Color'),(59, 'Type'),(59, 'Brand'),
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| 259 | -- Storage & Organization (60)
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| 260 | (60, 'Condition'),(60, 'Material'),(60, 'Size'),(60, 'Type'),(60, 'Brand'),
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| 261 | -- Lighting & Ambience (61)
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| 262 | (61, 'Condition'),(61, 'Type'),(61, 'Power Source'),(61, 'Color Temperature'),(61, 'Brand'),
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| 263 | -- Textiles & Comfort (62)
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| 264 | (62, 'Condition'),(62, 'Material'),(62, 'Size'),(62, 'Color'),(62, 'Brand'),
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| 265 | -- Kitchen & Dining (64)
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| 266 | (64, 'Condition'),(64, 'Material'),(64, 'Type'),(64, 'Capacity'),(64, 'Brand'),
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| 267 | -- Cleaning & Maintenance (65)
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| 268 | (65, 'Condition'),(65, 'Type'),(65, 'Power'),(65, 'Bagless'),(65, 'Brand'),
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| 269 | -- Laundry Care (66)
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| 270 | (66, 'Condition'),(66, 'Capacity'),(66, 'Energy Class'),(66, 'Type'),(66, 'Brand'),
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| 271 | -- Garden Tools (68)
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| 272 | (68, 'Condition'),(68, 'Type'),(68, 'Power Source'),(68, 'Material'),(68, 'Brand'),
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| 273 | -- Plants & Pots (69)
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| 274 | (69, 'Condition'),(69, 'Type'),(69, 'Material'),(69, 'Size'),
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| 275 | -- Outdoor Furniture (70)
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| 276 | (70, 'Condition'),(70, 'Material'),(70, 'Weather Resistant'),(70, 'Color'),(70, 'Brand'),
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| 277 | -- BBQ & Cooking (71)
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| 278 | (71, 'Condition'),(71, 'Fuel Type'),(71, 'Material'),(71, 'Size'),(71, 'Brand'),
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| 279 | -- Tools & Hardware (73)
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| 280 | (73, 'Condition'),(73, 'Type'),(73, 'Power'),(73, 'Battery'),(73, 'Brand'),
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| 281 | -- Paint & Decor Materials (74)
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| 282 | (74, 'Condition'),(74, 'Type'),(74, 'Color'),(74, 'Volume'),
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| 283 | -- Electrical & Plumbing (75)
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| 284 | (75, 'Condition'),(75, 'Type'),(75, 'Voltage'),(75, 'Material'),
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| 285 | -- Storage Installation (76)
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| 286 | (76, 'Condition'),(76, 'Type'),(76, 'Material'),(76, 'Size'),
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| 287 | -- Smart Lighting (78)
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| 288 | (78, 'Condition'),(78, 'Connectivity'),(78, 'Power'),(78, 'Brand'),
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| 289 | -- Security Cameras (79)
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| 290 | (79, 'Condition'),(79, 'Resolution'),(79, 'Connectivity'),(79, 'Brand'),
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| 291 | -- Smart Sensors (80)
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| 292 | (80, 'Condition'),(80, 'Sensor Type'),(80, 'Connectivity'),(80, 'Brand'),
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| 293 | -- Home Automation Devices (81)
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| 294 | (81, 'Condition'),(81, 'Type'),(81, 'Connectivity'),(81, 'Brand');
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| 295 |
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| 296 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 302 |
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| 303 |
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| 304 | INSERT INTO CategoryAttributes (category_id, attribute_name) VALUES
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| 305 | -- Cardio Equipment (83)
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| 306 | (83, 'Condition'),(83, 'Type'),(83, 'Resistance Level'),(83, 'Brand'),
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| 307 | -- Strength Training (84)
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| 308 | (84, 'Condition'),(84, 'Weight'),(84, 'Material'),(84, 'Brand'),
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| 309 | -- Yoga & Pilates (85)
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| 310 | (85, 'Condition'),(85, 'Material'),(85, 'Thickness'),(85, 'Brand'),
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| 311 | -- Camping & Hiking (87)
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| 312 | (87, 'Condition'),(87, 'Capacity'),(87, 'Season Type'),(87, 'Brand'),
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| 313 | -- Cycling (88)
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| 314 | (88, 'Condition'),(88, 'Type'),(88, 'Frame Material'),(88, 'Gear Count'),(88, 'Brand'),
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| 315 | -- Water Sports (89)
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| 316 | (89, 'Condition'),(89, 'Type'),(89, 'Material'),(89, 'Size'),(89, 'Brand');
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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| 321 |
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| 322 |
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| 323 |
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| 324 |
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| 325 | INSERT INTO CategoryAttributes (category_id, attribute_name) VALUES
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| 326 | -- Books (90)
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| 327 | (90, 'Condition'),(90, 'Author'),(90, 'Publisher'),(90, 'Publication Year'),(90, 'Language'),(90, 'Format'),(90, 'Genre'),
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| 328 | -- Catalogs (91)
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| 329 | (91, 'Condition'),(91, 'Publisher'),(91, 'Language'),(91, 'Publication Year'),
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| 330 | -- Comics (92)
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| 331 | (92, 'Condition'),(92, 'Author'),(92, 'Publisher'),(92, 'Volume'),
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| 332 | -- Magazines (93)
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| 333 | (93, 'Condition'),(93, 'Publisher'),(93, 'Issue Number'),(93, 'Month'),(93, 'Language'),
|
|---|
| 334 |
|
|---|
| 335 | -- Motorcycles (95)
|
|---|
| 336 | (95, 'Condition'),(95, 'Brand'),(95, 'Engine Capacity'),(95, 'Fuel Type'),(95, 'Mileage'),
|
|---|
| 337 | -- Cars (96)
|
|---|
| 338 | (96, 'Condition'),(96, 'Brand'),(96, 'Model'),(96, 'Fuel Type'),(96, 'Mileage'),(96, 'Transmission'),
|
|---|
| 339 | -- Trucks (97)
|
|---|
| 340 | (97, 'Condition'),(97, 'Brand'),(97, 'Load Capacity'),(97, 'Fuel Type'),
|
|---|
| 341 | -- Car Electronics (98)
|
|---|
| 342 | (98, 'Condition'),(98, 'Brand'),(98, 'Compatibility'),(98, 'Power'),
|
|---|
| 343 | -- Tires & Wheels (99)
|
|---|
| 344 | (99, 'Condition'),(99, 'Brand'),(99, 'Size'),(99, 'Season'),
|
|---|
| 345 | -- Car Accessories (100)
|
|---|
| 346 | (100, 'Condition'),(100, 'Brand'),(100, 'Type'),(100, 'Material'),
|
|---|
| 347 | -- Car Care (101)
|
|---|
| 348 | (101, 'Condition'),(101, 'Brand'),(101, 'Type'),(101, 'Volume'),
|
|---|
| 349 | -- Engine Parts (102)
|
|---|
| 350 | (102, 'Condition'),(102, 'Brand'),(102, 'Engine Type'),(102, 'Compatibility'),
|
|---|
| 351 | -- Brake Parts (103)
|
|---|
| 352 | (103, 'Condition'),(103, 'Brand'),(103, 'Type'),(103, 'Compatibility'),
|
|---|
| 353 | -- Suspension (104)
|
|---|
| 354 | (104, 'Condition'),(104, 'Brand'),(104, 'Type'),(104, 'Compatibility'),
|
|---|
| 355 |
|
|---|
| 356 | -- Apartments (106)
|
|---|
| 357 | (106, 'Condition'),(106, 'Area (m²)'),(106, 'Rooms'),(106, 'Floor'),(106, 'Furnished'),(106, 'Heating Type'),(106, 'Location'),(106, 'Listing Type'),
|
|---|
| 358 | -- Houses (107)
|
|---|
| 359 | (107, 'Condition'),(107, 'Area (m²)'),(107, 'Rooms'),(107, 'Floors'),(107, 'Yard Size'),(107, 'Furnished'),(107, 'Heating Type'),(107, 'Location'),(107, 'Listing Type'),
|
|---|
| 360 | -- Offices (109)
|
|---|
| 361 | (109, 'Condition'),(109, 'Area (m²)'),(109, 'Floor'),(109, 'Furnished'),(109, 'Parking'),(109, 'Location'),(109, 'Listing Type'),
|
|---|
| 362 | -- Shops (110)
|
|---|
| 363 | (110, 'Condition'),(110, 'Area (m²)'),(110, 'Location'),(110, 'Parking'),(110, 'Usage Type'),(110, 'Listing Type'),
|
|---|
| 364 | -- Agricultural Land (112)
|
|---|
| 365 | (112, 'Area (m²)'),(112, 'Soil Type'),(112, 'Water Access'),(112, 'Location'),(112, 'Listing Type'),
|
|---|
| 366 | -- Construction Land (113)
|
|---|
| 367 | (113, 'Area (m²)'),(113, 'Building Permit'),(113, 'Infrastructure'),(113, 'Location'),(113, 'Listing Type');
|
|---|
| 368 |
|
|---|
| 369 |
|
|---|
| 370 |
|
|---|
| 371 |
|
|---|
| 372 | UPDATE Category SET parent_category = 45 WHERE category_id IN (46,47);
|
|---|
| 373 | UPDATE Category SET parent_category = 48 WHERE category_id IN (49,50);
|
|---|
| 374 | UPDATE Category SET parent_category = 51 WHERE category_id IN (52,53);
|
|---|
| 375 | UPDATE Category SET parent_category = 54 WHERE category_id IN (55,56,57);
|
|---|
| 376 |
|
|---|
| 377 |
|
|---|
| 378 |
|
|---|
| 379 |
|
|---|
| 380 | INSERT INTO CategoryAttributes (category_id, attribute_name)
|
|---|
| 381 | VALUES (96, 'Year');
|
|---|
| 382 |
|
|---|
| 383 |
|
|---|
| 384 |
|
|---|
| 385 | INSERT INTO CategoryAttributes (category_id, attribute_name)
|
|---|
| 386 | VALUES (106, 'Balcony');
|
|---|
| 387 |
|
|---|
| 388 |
|
|---|
| 389 |
|
|---|
| 390 |
|
|---|
| 391 | -- CATEGORY ATTRIBUTE VALUES
|
|---|
| 392 |
|
|---|
| 393 |
|
|---|
| 394 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 395 | SELECT category_attribute_id, v.val
|
|---|
| 396 | FROM CategoryAttributes,
|
|---|
| 397 | (VALUES
|
|---|
| 398 | ('Black'), ('White'), ('Gray'), ('Blue'), ('Red'),
|
|---|
| 399 | ('Green'), ('Yellow'), ('Pink'), ('Purple'),
|
|---|
| 400 | ('Brown'), ('Beige'), ('Silver'), ('Gold')
|
|---|
| 401 | ) AS v(val)
|
|---|
| 402 | WHERE attribute_name = 'Color';
|
|---|
| 403 |
|
|---|
| 404 |
|
|---|
| 405 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 406 | SELECT category_attribute_id, v.val
|
|---|
| 407 | FROM CategoryAttributes,
|
|---|
| 408 | (VALUES ('New'), ('Used')) AS v(val)
|
|---|
| 409 | WHERE attribute_name = 'Condition';
|
|---|
| 410 |
|
|---|
| 411 |
|
|---|
| 412 |
|
|---|
| 413 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 414 | SELECT category_attribute_id, v.val
|
|---|
| 415 | FROM CategoryAttributes,
|
|---|
| 416 | (VALUES ('Male'), ('Female'), ('Unisex')) AS v(val)
|
|---|
| 417 | WHERE attribute_name = 'Gender';
|
|---|
| 418 |
|
|---|
| 419 |
|
|---|
| 420 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 421 | SELECT category_attribute_id, v.val
|
|---|
| 422 | FROM CategoryAttributes,
|
|---|
| 423 | (VALUES ('Slim'), ('Regular'), ('Loose'), ('Oversized')) AS v(val)
|
|---|
| 424 | WHERE attribute_name = 'Fit';
|
|---|
| 425 |
|
|---|
| 426 |
|
|---|
| 427 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 428 | SELECT category_attribute_id, v.val
|
|---|
| 429 | FROM CategoryAttributes,
|
|---|
| 430 | (VALUES ('Short Sleeve'), ('Long Sleeve'), ('Sleeveless')) AS v(val)
|
|---|
| 431 | WHERE attribute_name = 'Sleeve Type';
|
|---|
| 432 |
|
|---|
| 433 |
|
|---|
| 434 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 435 | SELECT category_attribute_id, v.val
|
|---|
| 436 | FROM CategoryAttributes,
|
|---|
| 437 | (VALUES ('Casual'), ('Formal'), ('Sport'), ('Party'), ('Business')) AS v(val)
|
|---|
| 438 | WHERE attribute_name = 'Occasion';
|
|---|
| 439 |
|
|---|
| 440 |
|
|---|
| 441 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 442 | SELECT category_attribute_id, v.val
|
|---|
| 443 | FROM CategoryAttributes,
|
|---|
| 444 | (VALUES ('4GB'), ('8GB'), ('16GB'), ('32GB'), ('64GB')) AS v(val)
|
|---|
| 445 | WHERE attribute_name = 'RAM';
|
|---|
| 446 |
|
|---|
| 447 |
|
|---|
| 448 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 449 | SELECT category_attribute_id, v.val
|
|---|
| 450 | FROM CategoryAttributes,
|
|---|
| 451 | (VALUES
|
|---|
| 452 | ('64GB'), ('128GB'), ('256GB'), ('512GB'),
|
|---|
| 453 | ('1TB'), ('2TB')
|
|---|
| 454 | ) AS v(val)
|
|---|
| 455 | WHERE attribute_name = 'Storage';
|
|---|
| 456 |
|
|---|
| 457 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 458 | SELECT category_attribute_id, v.val
|
|---|
| 459 | FROM CategoryAttributes,
|
|---|
| 460 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 461 | WHERE attribute_name = '5G Support';
|
|---|
| 462 |
|
|---|
| 463 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 464 | SELECT category_attribute_id, v.val
|
|---|
| 465 | FROM CategoryAttributes,
|
|---|
| 466 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 467 | WHERE attribute_name = 'Smart TV';
|
|---|
| 468 |
|
|---|
| 469 |
|
|---|
| 470 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 471 | SELECT category_attribute_id, v.val
|
|---|
| 472 | FROM CategoryAttributes,
|
|---|
| 473 | (VALUES ('Bluetooth'), ('WiFi'), ('Wired'), ('Bluetooth + WiFi')) AS v(val)
|
|---|
| 474 | WHERE attribute_name = 'Connectivity';
|
|---|
| 475 |
|
|---|
| 476 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 477 | SELECT category_attribute_id, v.val
|
|---|
| 478 | FROM CategoryAttributes,
|
|---|
| 479 | (VALUES ('A+++'), ('A++'), ('A+'), ('A'), ('B'), ('C')) AS v(val)
|
|---|
| 480 | WHERE attribute_name = 'Energy Class';
|
|---|
| 481 |
|
|---|
| 482 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 483 | SELECT category_attribute_id, v.val
|
|---|
| 484 | FROM CategoryAttributes,
|
|---|
| 485 | (VALUES ('Petrol'), ('Diesel'), ('Electric'), ('Hybrid')) AS v(val)
|
|---|
| 486 | WHERE attribute_name = 'Fuel Type';
|
|---|
| 487 |
|
|---|
| 488 |
|
|---|
| 489 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 490 | SELECT category_attribute_id, v.val
|
|---|
| 491 | FROM CategoryAttributes,
|
|---|
| 492 | (VALUES ('Manual'), ('Automatic')) AS v(val)
|
|---|
| 493 | WHERE attribute_name = 'Transmission';
|
|---|
| 494 |
|
|---|
| 495 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 496 | SELECT category_attribute_id, v.val
|
|---|
| 497 | FROM CategoryAttributes,
|
|---|
| 498 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 499 | WHERE attribute_name = 'Furnished';
|
|---|
| 500 |
|
|---|
| 501 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 502 | SELECT category_attribute_id, v.val
|
|---|
| 503 | FROM CategoryAttributes,
|
|---|
| 504 | (VALUES ('Sale'), ('Rent')) AS v(val)
|
|---|
| 505 | WHERE attribute_name = 'Listing Type';
|
|---|
| 506 |
|
|---|
| 507 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 508 | SELECT category_attribute_id, v.val
|
|---|
| 509 | FROM CategoryAttributes,
|
|---|
| 510 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 511 | WHERE attribute_name = 'Balcony';
|
|---|
| 512 |
|
|---|
| 513 |
|
|---|
| 514 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 515 | SELECT category_attribute_id, y::text
|
|---|
| 516 | FROM CategoryAttributes,
|
|---|
| 517 | generate_series(1990, 2025) AS y
|
|---|
| 518 | WHERE attribute_name = 'Year';
|
|---|
| 519 |
|
|---|
| 520 |
|
|---|
| 521 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 522 | SELECT category_attribute_id, v.val
|
|---|
| 523 | FROM CategoryAttributes,
|
|---|
| 524 | (VALUES
|
|---|
| 525 | ('Apple'), ('Samsung'), ('Xiaomi'), ('Huawei'), ('Google'), ('OnePlus')
|
|---|
| 526 | ) AS v(val)
|
|---|
| 527 | WHERE category_id = 25 AND attribute_name = 'Brand';
|
|---|
| 528 |
|
|---|
| 529 |
|
|---|
| 530 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 531 | SELECT category_attribute_id, v.val
|
|---|
| 532 | FROM CategoryAttributes,
|
|---|
| 533 | (VALUES
|
|---|
| 534 | ('Dell'), ('HP'), ('Lenovo'), ('Asus'), ('Acer'), ('Apple'), ('MSI')
|
|---|
| 535 | ) AS v(val)
|
|---|
| 536 | WHERE category_id = 28 AND attribute_name = 'Brand';
|
|---|
| 537 |
|
|---|
| 538 |
|
|---|
| 539 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 540 | SELECT category_attribute_id, v.val
|
|---|
| 541 | FROM CategoryAttributes,
|
|---|
| 542 | (VALUES
|
|---|
| 543 | ('Samsung'), ('LG'), ('Sony'), ('Philips'), ('TCL')
|
|---|
| 544 | ) AS v(val)
|
|---|
| 545 | WHERE category_id = 32 AND attribute_name = 'Brand';
|
|---|
| 546 |
|
|---|
| 547 |
|
|---|
| 548 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 549 | SELECT category_attribute_id, v.val
|
|---|
| 550 | FROM CategoryAttributes,
|
|---|
| 551 | (VALUES
|
|---|
| 552 | ('JBL'), ('Sony'), ('Bose'), ('LG'), ('Samsung')
|
|---|
| 553 | ) AS v(val)
|
|---|
| 554 | WHERE category_id = 33 AND attribute_name = 'Brand';
|
|---|
| 555 |
|
|---|
| 556 |
|
|---|
| 557 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 558 | SELECT category_attribute_id, v.val
|
|---|
| 559 | FROM CategoryAttributes,
|
|---|
| 560 | (VALUES
|
|---|
| 561 | ('Sony'), ('Bose'), ('JBL'), ('Apple'), ('Sennheiser')
|
|---|
| 562 | ) AS v(val)
|
|---|
| 563 | WHERE category_id = 34 AND attribute_name = 'Brand';
|
|---|
| 564 |
|
|---|
| 565 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 566 | SELECT category_attribute_id, v.val
|
|---|
| 567 | FROM CategoryAttributes,
|
|---|
| 568 | (VALUES
|
|---|
| 569 | ('Sony'), ('Microsoft'), ('Nintendo')
|
|---|
| 570 | ) AS v(val)
|
|---|
| 571 | WHERE category_id = 36 AND attribute_name = 'Brand';
|
|---|
| 572 |
|
|---|
| 573 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 574 | SELECT category_attribute_id, v.val
|
|---|
| 575 | FROM CategoryAttributes,
|
|---|
| 576 | (VALUES
|
|---|
| 577 | ('Samsung'), ('LG'), ('Bosch'), ('Beko'), ('Whirlpool')
|
|---|
| 578 | ) AS v(val)
|
|---|
| 579 | WHERE category_id = 41 AND attribute_name = 'Brand';
|
|---|
| 580 |
|
|---|
| 581 |
|
|---|
| 582 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 583 | SELECT category_attribute_id, v.val
|
|---|
| 584 | FROM CategoryAttributes,
|
|---|
| 585 | (VALUES
|
|---|
| 586 | ('Bosch'), ('Beko'), ('Gorenje'), ('Samsung'), ('Electrolux')
|
|---|
| 587 | ) AS v(val)
|
|---|
| 588 | WHERE category_id = 42 AND attribute_name = 'Brand';
|
|---|
| 589 |
|
|---|
| 590 |
|
|---|
| 591 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 592 | SELECT category_attribute_id, v.val
|
|---|
| 593 | FROM CategoryAttributes,
|
|---|
| 594 | (VALUES
|
|---|
| 595 | ('DeLonghi'), ('Philips'), ('Krups'), ('Bosch')
|
|---|
| 596 | ) AS v(val)
|
|---|
| 597 | WHERE category_id = 44 AND attribute_name = 'Brand';
|
|---|
| 598 |
|
|---|
| 599 |
|
|---|
| 600 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 601 | SELECT category_attribute_id, v.val
|
|---|
| 602 | FROM CategoryAttributes,
|
|---|
| 603 | (VALUES
|
|---|
| 604 | ('Dyson'), ('Bosch'), ('Philips'), ('Samsung'), ('Rowenta')
|
|---|
| 605 | ) AS v(val)
|
|---|
| 606 | WHERE category_id = 46 AND attribute_name = 'Brand';
|
|---|
| 607 |
|
|---|
| 608 |
|
|---|
| 609 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 610 | SELECT category_attribute_id, v.val
|
|---|
| 611 | FROM CategoryAttributes,
|
|---|
| 612 | (VALUES
|
|---|
| 613 | ('Bosch'), ('LG'), ('Samsung'), ('Beko'), ('Whirlpool')
|
|---|
| 614 | ) AS v(val)
|
|---|
| 615 | WHERE category_id = 49 AND attribute_name = 'Brand';
|
|---|
| 616 |
|
|---|
| 617 |
|
|---|
| 618 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 619 | SELECT category_attribute_id, v.val
|
|---|
| 620 | FROM CategoryAttributes,
|
|---|
| 621 | (VALUES
|
|---|
| 622 | ('Daikin'), ('Mitsubishi'), ('Gree'), ('Samsung'), ('LG')
|
|---|
| 623 | ) AS v(val)
|
|---|
| 624 | WHERE category_id = 52 AND attribute_name = 'Brand';
|
|---|
| 625 |
|
|---|
| 626 |
|
|---|
| 627 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 628 | SELECT category_attribute_id, v.val
|
|---|
| 629 | FROM CategoryAttributes,
|
|---|
| 630 | (VALUES
|
|---|
| 631 | ('Nike'), ('Adidas'), ('Zara'), ('H&M'), ('Puma')
|
|---|
| 632 | ) AS v(val)
|
|---|
| 633 | WHERE category_id = 11 AND attribute_name = 'Brand';
|
|---|
| 634 |
|
|---|
| 635 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 636 | SELECT category_attribute_id, v.val
|
|---|
| 637 | FROM CategoryAttributes,
|
|---|
| 638 | (VALUES
|
|---|
| 639 | ('Nike'), ('Adidas'), ('Puma'), ('New Balance'), ('Reebok')
|
|---|
| 640 | ) AS v(val)
|
|---|
| 641 | WHERE category_id = 16 AND attribute_name = 'Brand';
|
|---|
| 642 |
|
|---|
| 643 |
|
|---|
| 644 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 645 | SELECT category_attribute_id, v.val
|
|---|
| 646 | FROM CategoryAttributes,
|
|---|
| 647 | (VALUES
|
|---|
| 648 | ('Nike'), ('Adidas'), ('Guess'), ('Michael Kors'), ('Zara')
|
|---|
| 649 | ) AS v(val)
|
|---|
| 650 | WHERE category_id = 19 AND attribute_name = 'Brand';
|
|---|
| 651 |
|
|---|
| 652 |
|
|---|
| 653 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 654 | SELECT category_attribute_id, v.val
|
|---|
| 655 | FROM CategoryAttributes,
|
|---|
| 656 | (VALUES
|
|---|
| 657 | ('BMW'), ('Mercedes-Benz'), ('Audi'), ('Volkswagen'),
|
|---|
| 658 | ('Toyota'), ('Ford'), ('Honda'), ('Hyundai')
|
|---|
| 659 | ) AS v(val)
|
|---|
| 660 | WHERE category_id = 96 AND attribute_name = 'Brand';
|
|---|
| 661 |
|
|---|
| 662 |
|
|---|
| 663 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 664 | SELECT category_attribute_id, v.val
|
|---|
| 665 | FROM CategoryAttributes,
|
|---|
| 666 | (VALUES
|
|---|
| 667 | ('Yamaha'), ('Honda'), ('Kawasaki'), ('Suzuki'), ('Ducati')
|
|---|
| 668 | ) AS v(val)
|
|---|
| 669 | WHERE category_id = 95 AND attribute_name = 'Brand';
|
|---|
| 670 |
|
|---|
| 671 |
|
|---|
| 672 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 673 | SELECT category_attribute_id, v.val
|
|---|
| 674 | FROM CategoryAttributes,
|
|---|
| 675 | (VALUES
|
|---|
| 676 | ('Bosch'), ('Valeo'), ('Denso'), ('Continental')
|
|---|
| 677 | ) AS v(val)
|
|---|
| 678 | WHERE category_id = 94 AND attribute_name = 'Brand';
|
|---|
| 679 |
|
|---|
| 680 |
|
|---|
| 681 |
|
|---|
| 682 |
|
|---|
| 683 | -- Material (Облека - T-Shirts, Shirts, Jeans, Jackets, Dresses)
|
|---|
| 684 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 685 | SELECT category_attribute_id, v.val
|
|---|
| 686 | FROM CategoryAttributes,
|
|---|
| 687 | (VALUES ('Cotton'), ('Polyester'), ('Denim'), ('Wool'), ('Silk'), ('Linen'), ('Synthetic'), ('Fleece')) AS v(val)
|
|---|
| 688 | WHERE attribute_name = 'Material' AND category_id IN (11,12,13,14,15);
|
|---|
| 689 |
|
|---|
| 690 | -- Material (Чевли - Sneakers, Boots, Heels)
|
|---|
| 691 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 692 | SELECT category_attribute_id, v.val
|
|---|
| 693 | FROM CategoryAttributes,
|
|---|
| 694 | (VALUES ('Leather'), ('Synthetic'), ('Canvas'), ('Suede'), ('Rubber'), ('Textile')) AS v(val)
|
|---|
| 695 | WHERE attribute_name = 'Material' AND category_id IN (16,17,18);
|
|---|
| 696 |
|
|---|
| 697 | -- Material (Bags, Belts, Hats, Watches, Sunglasses)
|
|---|
| 698 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 699 | SELECT category_attribute_id, v.val
|
|---|
| 700 | FROM CategoryAttributes,
|
|---|
| 701 | (VALUES ('Leather'), ('Synthetic'), ('Canvas'), ('Nylon'), ('Metal'), ('Plastic')) AS v(val)
|
|---|
| 702 | WHERE attribute_name = 'Material' AND category_id IN (19,20,21,22,23);
|
|---|
| 703 |
|
|---|
| 704 | -- Material (Furniture & Seating)
|
|---|
| 705 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 706 | SELECT category_attribute_id, v.val
|
|---|
| 707 | FROM CategoryAttributes,
|
|---|
| 708 | (VALUES ('Wood'), ('Metal'), ('Plastic'), ('Fabric'), ('Leather'), ('Glass')) AS v(val)
|
|---|
| 709 | WHERE attribute_name = 'Material' AND category_id = 59;
|
|---|
| 710 |
|
|---|
| 711 | -- Material (Storage & Organization)
|
|---|
| 712 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 713 | SELECT category_attribute_id, v.val
|
|---|
| 714 | FROM CategoryAttributes,
|
|---|
| 715 | (VALUES ('Plastic'), ('Metal'), ('Wood'), ('Fabric'), ('Bamboo')) AS v(val)
|
|---|
| 716 | WHERE attribute_name = 'Material' AND category_id = 60;
|
|---|
| 717 |
|
|---|
| 718 | -- Material (Textiles & Comfort)
|
|---|
| 719 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 720 | SELECT category_attribute_id, v.val
|
|---|
| 721 | FROM CategoryAttributes,
|
|---|
| 722 | (VALUES ('Cotton'), ('Polyester'), ('Wool'), ('Silk'), ('Linen'), ('Bamboo')) AS v(val)
|
|---|
| 723 | WHERE attribute_name = 'Material' AND category_id = 62;
|
|---|
| 724 |
|
|---|
| 725 | -- Material (Kitchen & Dining)
|
|---|
| 726 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 727 | SELECT category_attribute_id, v.val
|
|---|
| 728 | FROM CategoryAttributes,
|
|---|
| 729 | (VALUES ('Stainless Steel'), ('Ceramic'), ('Glass'), ('Plastic'), ('Wood'), ('Silicone')) AS v(val)
|
|---|
| 730 | WHERE attribute_name = 'Material' AND category_id = 64;
|
|---|
| 731 |
|
|---|
| 732 | -- Material (Garden Tools)
|
|---|
| 733 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 734 | SELECT category_attribute_id, v.val
|
|---|
| 735 | FROM CategoryAttributes,
|
|---|
| 736 | (VALUES ('Metal'), ('Plastic'), ('Wood'), ('Rubber'), ('Fiberglass')) AS v(val)
|
|---|
| 737 | WHERE attribute_name = 'Material' AND category_id = 68;
|
|---|
| 738 |
|
|---|
| 739 | -- Material (Plants & Pots)
|
|---|
| 740 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 741 | SELECT category_attribute_id, v.val
|
|---|
| 742 | FROM CategoryAttributes,
|
|---|
| 743 | (VALUES ('Ceramic'), ('Plastic'), ('Terracotta'), ('Wood'), ('Metal'), ('Fiberglass')) AS v(val)
|
|---|
| 744 | WHERE attribute_name = 'Material' AND category_id = 69;
|
|---|
| 745 |
|
|---|
| 746 | -- Material (Outdoor Furniture)
|
|---|
| 747 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 748 | SELECT category_attribute_id, v.val
|
|---|
| 749 | FROM CategoryAttributes,
|
|---|
| 750 | (VALUES ('Aluminum'), ('Teak Wood'), ('Rattan'), ('Steel'), ('Plastic'), ('Wicker')) AS v(val)
|
|---|
| 751 | WHERE attribute_name = 'Material' AND category_id = 70;
|
|---|
| 752 |
|
|---|
| 753 | -- Material (BBQ)
|
|---|
| 754 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 755 | SELECT category_attribute_id, v.val
|
|---|
| 756 | FROM CategoryAttributes,
|
|---|
| 757 | (VALUES ('Stainless Steel'), ('Cast Iron'), ('Aluminum'), ('Porcelain')) AS v(val)
|
|---|
| 758 | WHERE attribute_name = 'Material' AND category_id = 71;
|
|---|
| 759 |
|
|---|
| 760 | -- Material (Electrical & Plumbing)
|
|---|
| 761 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 762 | SELECT category_attribute_id, v.val
|
|---|
| 763 | FROM CategoryAttributes,
|
|---|
| 764 | (VALUES ('Copper'), ('PVC'), ('Steel'), ('Plastic'), ('Brass')) AS v(val)
|
|---|
| 765 | WHERE attribute_name = 'Material' AND category_id = 75;
|
|---|
| 766 |
|
|---|
| 767 | -- Material (Storage Installation)
|
|---|
| 768 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 769 | SELECT category_attribute_id, v.val
|
|---|
| 770 | FROM CategoryAttributes,
|
|---|
| 771 | (VALUES ('Metal'), ('Wood'), ('Plastic'), ('MDF')) AS v(val)
|
|---|
| 772 | WHERE attribute_name = 'Material' AND category_id = 76;
|
|---|
| 773 |
|
|---|
| 774 | -- Material (Yoga & Pilates)
|
|---|
| 775 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 776 | SELECT category_attribute_id, v.val
|
|---|
| 777 | FROM CategoryAttributes,
|
|---|
| 778 | (VALUES ('TPE'), ('PVC'), ('Natural Rubber'), ('Cork'), ('Foam')) AS v(val)
|
|---|
| 779 | WHERE attribute_name = 'Material' AND category_id = 85;
|
|---|
| 780 |
|
|---|
| 781 | -- Material (Strength Training)
|
|---|
| 782 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 783 | SELECT category_attribute_id, v.val
|
|---|
| 784 | FROM CategoryAttributes,
|
|---|
| 785 | (VALUES ('Iron'), ('Steel'), ('Rubber Coated'), ('Chrome'), ('Neoprene')) AS v(val)
|
|---|
| 786 | WHERE attribute_name = 'Material' AND category_id = 84;
|
|---|
| 787 |
|
|---|
| 788 | -- Material (Water Sports)
|
|---|
| 789 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 790 | SELECT category_attribute_id, v.val
|
|---|
| 791 | FROM CategoryAttributes,
|
|---|
| 792 | (VALUES ('Neoprene'), ('Nylon'), ('Polyester'), ('PVC'), ('Carbon Fiber')) AS v(val)
|
|---|
| 793 | WHERE attribute_name = 'Material' AND category_id = 89;
|
|---|
| 794 |
|
|---|
| 795 | -- Material (Car Accessories)
|
|---|
| 796 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 797 | SELECT category_attribute_id, v.val
|
|---|
| 798 | FROM CategoryAttributes,
|
|---|
| 799 | (VALUES ('Plastic'), ('Leather'), ('Rubber'), ('Metal'), ('Fabric')) AS v(val)
|
|---|
| 800 | WHERE attribute_name = 'Material' AND category_id = 100;
|
|---|
| 801 |
|
|---|
| 802 |
|
|---|
| 803 |
|
|---|
| 804 |
|
|---|
| 805 |
|
|---|
| 806 |
|
|---|
| 807 |
|
|---|
| 808 |
|
|---|
| 809 |
|
|---|
| 810 |
|
|---|
| 811 |
|
|---|
| 812 |
|
|---|
| 813 |
|
|---|
| 814 |
|
|---|
| 815 |
|
|---|
| 816 | -- Size (облека)
|
|---|
| 817 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 818 | SELECT category_attribute_id, v.val
|
|---|
| 819 | FROM CategoryAttributes,
|
|---|
| 820 | (VALUES ('XS'), ('S'), ('M'), ('L'), ('XL'), ('XXL'), ('XXXL')) AS v(val)
|
|---|
| 821 | WHERE attribute_name = 'Size' AND category_id IN (11,12,13,14,15,19,20,21);
|
|---|
| 822 |
|
|---|
| 823 | -- Size (чевли)
|
|---|
| 824 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 825 | SELECT category_attribute_id, v.val
|
|---|
| 826 | FROM CategoryAttributes,
|
|---|
| 827 | (VALUES ('36'), ('37'), ('38'), ('39'), ('40'), ('41'), ('42'), ('43'), ('44'), ('45')) AS v(val)
|
|---|
| 828 | WHERE attribute_name = 'Size' AND category_id IN (16,17,18);
|
|---|
| 829 |
|
|---|
| 830 | -- Waist Size
|
|---|
| 831 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 832 | SELECT category_attribute_id, v.val
|
|---|
| 833 | FROM CategoryAttributes,
|
|---|
| 834 | (VALUES ('28'), ('30'), ('32'), ('34'), ('36'), ('38'), ('40')) AS v(val)
|
|---|
| 835 | WHERE attribute_name = 'Waist Size';
|
|---|
| 836 |
|
|---|
| 837 | -- Length (Jeans)
|
|---|
| 838 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 839 | SELECT category_attribute_id, v.val
|
|---|
| 840 | FROM CategoryAttributes,
|
|---|
| 841 | (VALUES ('28'), ('30'), ('32'), ('34')) AS v(val)
|
|---|
| 842 | WHERE attribute_name = 'Length' AND category_id = 13;
|
|---|
| 843 |
|
|---|
| 844 | -- Length (Dresses)
|
|---|
| 845 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 846 | SELECT category_attribute_id, v.val
|
|---|
| 847 | FROM CategoryAttributes,
|
|---|
| 848 | (VALUES ('Mini'), ('Midi'), ('Maxi')) AS v(val)
|
|---|
| 849 | WHERE attribute_name = 'Length' AND category_id = 15;
|
|---|
| 850 |
|
|---|
| 851 | -- Heel Height
|
|---|
| 852 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 853 | SELECT category_attribute_id, v.val
|
|---|
| 854 | FROM CategoryAttributes,
|
|---|
| 855 | (VALUES ('Flat'), ('Low (1-3cm)'), ('Mid (4-6cm)'), ('High (7cm+)')) AS v(val)
|
|---|
| 856 | WHERE attribute_name = 'Heel Height';
|
|---|
| 857 |
|
|---|
| 858 | -- Waterproof
|
|---|
| 859 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 860 | SELECT category_attribute_id, v.val
|
|---|
| 861 | FROM CategoryAttributes,
|
|---|
| 862 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 863 | WHERE attribute_name = 'Waterproof';
|
|---|
| 864 |
|
|---|
| 865 | -- Sport Type
|
|---|
| 866 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 867 | SELECT category_attribute_id, v.val
|
|---|
| 868 | FROM CategoryAttributes,
|
|---|
| 869 | (VALUES ('Running'), ('Basketball'), ('Football'), ('Tennis'), ('Casual'), ('Training')) AS v(val)
|
|---|
| 870 | WHERE attribute_name = 'Sport Type';
|
|---|
| 871 |
|
|---|
| 872 | -- Frame Type (Sunglasses)
|
|---|
| 873 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 874 | SELECT category_attribute_id, v.val
|
|---|
| 875 | FROM CategoryAttributes,
|
|---|
| 876 | (VALUES ('Full Frame'), ('Half Frame'), ('Rimless'), ('Wrap')) AS v(val)
|
|---|
| 877 | WHERE attribute_name = 'Frame Type';
|
|---|
| 878 |
|
|---|
| 879 | -- UV Protection
|
|---|
| 880 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 881 | SELECT category_attribute_id, v.val
|
|---|
| 882 | FROM CategoryAttributes,
|
|---|
| 883 | (VALUES ('UV400'), ('UV380'), ('Polarized')) AS v(val)
|
|---|
| 884 | WHERE attribute_name = 'UV Protection';
|
|---|
| 885 |
|
|---|
| 886 | -- Movement Type (Watches)
|
|---|
| 887 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 888 | SELECT category_attribute_id, v.val
|
|---|
| 889 | FROM CategoryAttributes,
|
|---|
| 890 | (VALUES ('Quartz'), ('Automatic'), ('Manual'), ('Solar')) AS v(val)
|
|---|
| 891 | WHERE attribute_name = 'Movement Type';
|
|---|
| 892 |
|
|---|
| 893 | -- Water Resistance
|
|---|
| 894 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 895 | SELECT category_attribute_id, v.val
|
|---|
| 896 | FROM CategoryAttributes,
|
|---|
| 897 | (VALUES ('30m'), ('50m'), ('100m'), ('200m'), ('Not Water Resistant')) AS v(val)
|
|---|
| 898 | WHERE attribute_name = 'Water Resistance';
|
|---|
| 899 |
|
|---|
| 900 | -- Screen Size (Phones/Laptops)
|
|---|
| 901 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 902 | SELECT category_attribute_id, v.val
|
|---|
| 903 | FROM CategoryAttributes,
|
|---|
| 904 | (VALUES ('5.0"'), ('5.5"'), ('6.0"'), ('6.5"'), ('6.7"'), ('7.0"')) AS v(val)
|
|---|
| 905 | WHERE attribute_name = 'Screen Size' AND category_id = 25;
|
|---|
| 906 |
|
|---|
| 907 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 908 | SELECT category_attribute_id, v.val
|
|---|
| 909 | FROM CategoryAttributes,
|
|---|
| 910 | (VALUES ('13"'), ('14"'), ('15.6"'), ('16"'), ('17"')) AS v(val)
|
|---|
| 911 | WHERE attribute_name = 'Screen Size' AND category_id = 28;
|
|---|
| 912 |
|
|---|
| 913 | -- Battery (Phones)
|
|---|
| 914 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 915 | SELECT category_attribute_id, v.val
|
|---|
| 916 | FROM CategoryAttributes,
|
|---|
| 917 | (VALUES ('3000mAh'), ('4000mAh'), ('5000mAh'), ('6000mAh')) AS v(val)
|
|---|
| 918 | WHERE attribute_name = 'Battery' AND category_id IN (25, 26);
|
|---|
| 919 |
|
|---|
| 920 | -- Camera
|
|---|
| 921 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 922 | SELECT category_attribute_id, v.val
|
|---|
| 923 | FROM CategoryAttributes,
|
|---|
| 924 | (VALUES ('12MP'), ('48MP'), ('64MP'), ('108MP'), ('200MP')) AS v(val)
|
|---|
| 925 | WHERE attribute_name = 'Camera';
|
|---|
| 926 |
|
|---|
| 927 | -- CPU
|
|---|
| 928 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 929 | SELECT category_attribute_id, v.val
|
|---|
| 930 | FROM CategoryAttributes,
|
|---|
| 931 | (VALUES ('Intel i3'), ('Intel i5'), ('Intel i7'), ('Intel i9'), ('AMD Ryzen 5'), ('AMD Ryzen 7'), ('AMD Ryzen 9'), ('Apple M1'), ('Apple M2'), ('Apple M3')) AS v(val)
|
|---|
| 932 | WHERE attribute_name = 'CPU';
|
|---|
| 933 |
|
|---|
| 934 | -- GPU
|
|---|
| 935 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 936 | SELECT category_attribute_id, v.val
|
|---|
| 937 | FROM CategoryAttributes,
|
|---|
| 938 | (VALUES ('NVIDIA GTX 1650'), ('NVIDIA RTX 3060'), ('NVIDIA RTX 4070'), ('AMD Radeon RX 6600'), ('Intel Integrated'), ('Apple M-Series')) AS v(val)
|
|---|
| 939 | WHERE attribute_name = 'GPU';
|
|---|
| 940 |
|
|---|
| 941 | -- Type (Laptops)
|
|---|
| 942 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 943 | SELECT category_attribute_id, v.val
|
|---|
| 944 | FROM CategoryAttributes,
|
|---|
| 945 | (VALUES ('Gaming'), ('Business'), ('Ultrabook'), ('2-in-1'), ('Workstation')) AS v(val)
|
|---|
| 946 | WHERE attribute_name = 'Type' AND category_id = 28;
|
|---|
| 947 |
|
|---|
| 948 | -- Resolution (TV)
|
|---|
| 949 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 950 | SELECT category_attribute_id, v.val
|
|---|
| 951 | FROM CategoryAttributes,
|
|---|
| 952 | (VALUES ('HD'), ('Full HD'), ('4K'), ('8K')) AS v(val)
|
|---|
| 953 | WHERE attribute_name = 'Resolution' AND category_id = 32;
|
|---|
| 954 |
|
|---|
| 955 | -- Refresh Rate
|
|---|
| 956 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 957 | SELECT category_attribute_id, v.val
|
|---|
| 958 | FROM CategoryAttributes,
|
|---|
| 959 | (VALUES ('60Hz'), ('120Hz'), ('144Hz'), ('165Hz'), ('240Hz')) AS v(val)
|
|---|
| 960 | WHERE attribute_name = 'Refresh Rate';
|
|---|
| 961 |
|
|---|
| 962 | -- Size (TV)
|
|---|
| 963 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 964 | SELECT category_attribute_id, v.val
|
|---|
| 965 | FROM CategoryAttributes,
|
|---|
| 966 | (VALUES ('32"'), ('43"'), ('50"'), ('55"'), ('65"'), ('75"'), ('85"')) AS v(val)
|
|---|
| 967 | WHERE attribute_name = 'Size' AND category_id = 32;
|
|---|
| 968 |
|
|---|
| 969 | -- Type (Speakers)
|
|---|
| 970 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 971 | SELECT category_attribute_id, v.val
|
|---|
| 972 | FROM CategoryAttributes,
|
|---|
| 973 | (VALUES ('Portable'), ('Bookshelf'), ('Soundbar'), ('Subwoofer')) AS v(val)
|
|---|
| 974 | WHERE attribute_name = 'Type' AND category_id = 33;
|
|---|
| 975 |
|
|---|
| 976 | -- Power Output
|
|---|
| 977 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 978 | SELECT category_attribute_id, v.val
|
|---|
| 979 | FROM CategoryAttributes,
|
|---|
| 980 | (VALUES ('10W'), ('20W'), ('50W'), ('100W'), ('200W')) AS v(val)
|
|---|
| 981 | WHERE attribute_name = 'Power Output';
|
|---|
| 982 |
|
|---|
| 983 | -- Type (Headphones)
|
|---|
| 984 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 985 | SELECT category_attribute_id, v.val
|
|---|
| 986 | FROM CategoryAttributes,
|
|---|
| 987 | (VALUES ('Over-ear'), ('On-ear'), ('In-ear'), ('True Wireless')) AS v(val)
|
|---|
| 988 | WHERE attribute_name = 'Type' AND category_id = 34;
|
|---|
| 989 |
|
|---|
| 990 | -- Noise Cancelling
|
|---|
| 991 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 992 | SELECT category_attribute_id, v.val
|
|---|
| 993 | FROM CategoryAttributes,
|
|---|
| 994 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 995 | WHERE attribute_name = 'Noise Cancelling';
|
|---|
| 996 |
|
|---|
| 997 | -- Battery Life
|
|---|
| 998 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 999 | SELECT category_attribute_id, v.val
|
|---|
| 1000 | FROM CategoryAttributes,
|
|---|
| 1001 | (VALUES ('Up to 10h'), ('Up to 20h'), ('Up to 30h'), ('Up to 40h')) AS v(val)
|
|---|
| 1002 | WHERE attribute_name = 'Battery Life';
|
|---|
| 1003 |
|
|---|
| 1004 | -- Generation (Consoles)
|
|---|
| 1005 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1006 | SELECT category_attribute_id, v.val
|
|---|
| 1007 | FROM CategoryAttributes,
|
|---|
| 1008 | (VALUES ('7th Gen'), ('8th Gen'), ('9th Gen')) AS v(val)
|
|---|
| 1009 | WHERE attribute_name = 'Generation';
|
|---|
| 1010 |
|
|---|
| 1011 | -- Bundle Type
|
|---|
| 1012 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1013 | SELECT category_attribute_id, v.val
|
|---|
| 1014 | FROM CategoryAttributes,
|
|---|
| 1015 | (VALUES ('Console Only'), ('Console + Game'), ('Console + Controller')) AS v(val)
|
|---|
| 1016 | WHERE attribute_name = 'Bundle Type';
|
|---|
| 1017 |
|
|---|
| 1018 | -- Platform (Games)
|
|---|
| 1019 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1020 | SELECT category_attribute_id, v.val
|
|---|
| 1021 | FROM CategoryAttributes,
|
|---|
| 1022 | (VALUES ('PlayStation'), ('Xbox'), ('Nintendo Switch'), ('PC')) AS v(val)
|
|---|
| 1023 | WHERE attribute_name = 'Platform';
|
|---|
| 1024 |
|
|---|
| 1025 | -- Genre (Games)
|
|---|
| 1026 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1027 | SELECT category_attribute_id, v.val
|
|---|
| 1028 | FROM CategoryAttributes,
|
|---|
| 1029 | (VALUES ('Action'), ('RPG'), ('Sports'), ('Racing'), ('Strategy'), ('Simulation'), ('Horror')) AS v(val)
|
|---|
| 1030 | WHERE attribute_name = 'Genre' AND category_id = 37;
|
|---|
| 1031 |
|
|---|
| 1032 | -- Age Rating
|
|---|
| 1033 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1034 | SELECT category_attribute_id, v.val
|
|---|
| 1035 | FROM CategoryAttributes,
|
|---|
| 1036 | (VALUES ('3+'), ('7+'), ('12+'), ('16+'), ('18+')) AS v(val)
|
|---|
| 1037 | WHERE attribute_name = 'Age Rating';
|
|---|
| 1038 |
|
|---|
| 1039 | -- Capacity (Fridge)
|
|---|
| 1040 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1041 | SELECT category_attribute_id, v.val
|
|---|
| 1042 | FROM CategoryAttributes,
|
|---|
| 1043 | (VALUES ('100L'), ('200L'), ('300L'), ('400L'), ('500L+')) AS v(val)
|
|---|
| 1044 | WHERE attribute_name = 'Capacity (L)';
|
|---|
| 1045 |
|
|---|
| 1046 | -- Type (Fridge)
|
|---|
| 1047 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1048 | SELECT category_attribute_id, v.val
|
|---|
| 1049 | FROM CategoryAttributes,
|
|---|
| 1050 | (VALUES ('Single Door'), ('Double Door'), ('Side by Side'), ('French Door')) AS v(val)
|
|---|
| 1051 | WHERE attribute_name = 'Type' AND category_id = 41;
|
|---|
| 1052 |
|
|---|
| 1053 | -- Inverter
|
|---|
| 1054 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1055 | SELECT category_attribute_id, v.val
|
|---|
| 1056 | FROM CategoryAttributes,
|
|---|
| 1057 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1058 | WHERE attribute_name = 'Inverter';
|
|---|
| 1059 |
|
|---|
| 1060 | -- Type (Oven)
|
|---|
| 1061 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1062 | SELECT category_attribute_id, v.val
|
|---|
| 1063 | FROM CategoryAttributes,
|
|---|
| 1064 | (VALUES ('Electric'), ('Gas'), ('Microwave'), ('Steam')) AS v(val)
|
|---|
| 1065 | WHERE attribute_name = 'Type' AND category_id = 42;
|
|---|
| 1066 |
|
|---|
| 1067 | -- Capacity (Oven)
|
|---|
| 1068 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1069 | SELECT category_attribute_id, v.val
|
|---|
| 1070 | FROM CategoryAttributes,
|
|---|
| 1071 | (VALUES ('30L'), ('45L'), ('60L'), ('90L')) AS v(val)
|
|---|
| 1072 | WHERE attribute_name = 'Capacity' AND category_id = 42;
|
|---|
| 1073 |
|
|---|
| 1074 | -- Energy Source
|
|---|
| 1075 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1076 | SELECT category_attribute_id, v.val
|
|---|
| 1077 | FROM CategoryAttributes,
|
|---|
| 1078 | (VALUES ('Electric'), ('Gas')) AS v(val)
|
|---|
| 1079 | WHERE attribute_name = 'Energy Source';
|
|---|
| 1080 |
|
|---|
| 1081 | -- Type (Coffee)
|
|---|
| 1082 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1083 | SELECT category_attribute_id, v.val
|
|---|
| 1084 | FROM CategoryAttributes,
|
|---|
| 1085 | (VALUES ('Espresso'), ('Filter'), ('Capsule'), ('French Press')) AS v(val)
|
|---|
| 1086 | WHERE attribute_name = 'Type' AND category_id = 44;
|
|---|
| 1087 |
|
|---|
| 1088 | -- Pressure
|
|---|
| 1089 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1090 | SELECT category_attribute_id, v.val
|
|---|
| 1091 | FROM CategoryAttributes,
|
|---|
| 1092 | (VALUES ('6 bar'), ('9 bar'), ('15 bar'), ('20 bar')) AS v(val)
|
|---|
| 1093 | WHERE attribute_name = 'Pressure';
|
|---|
| 1094 |
|
|---|
| 1095 | -- Water Tank Size
|
|---|
| 1096 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1097 | SELECT category_attribute_id, v.val
|
|---|
| 1098 | FROM CategoryAttributes,
|
|---|
| 1099 | (VALUES ('0.5L'), ('1L'), ('1.5L'), ('2L'), ('3L')) AS v(val)
|
|---|
| 1100 | WHERE attribute_name = 'Water Tank Size';
|
|---|
| 1101 |
|
|---|
| 1102 | -- Bagless
|
|---|
| 1103 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1104 | SELECT category_attribute_id, v.val
|
|---|
| 1105 | FROM CategoryAttributes,
|
|---|
| 1106 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1107 | WHERE attribute_name = 'Bagless';
|
|---|
| 1108 |
|
|---|
| 1109 | -- Capacity (Washing Machine)
|
|---|
| 1110 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1111 | SELECT category_attribute_id, v.val
|
|---|
| 1112 | FROM CategoryAttributes,
|
|---|
| 1113 | (VALUES ('5kg'), ('6kg'), ('7kg'), ('8kg'), ('9kg'), ('10kg'), ('12kg')) AS v(val)
|
|---|
| 1114 | WHERE attribute_name = 'Capacity (kg)';
|
|---|
| 1115 |
|
|---|
| 1116 | -- Spin Speed
|
|---|
| 1117 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1118 | SELECT category_attribute_id, v.val
|
|---|
| 1119 | FROM CategoryAttributes,
|
|---|
| 1120 | (VALUES ('800rpm'), ('1000rpm'), ('1200rpm'), ('1400rpm'), ('1600rpm')) AS v(val)
|
|---|
| 1121 | WHERE attribute_name = 'Spin Speed';
|
|---|
| 1122 |
|
|---|
| 1123 | -- BTU
|
|---|
| 1124 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1125 | SELECT category_attribute_id, v.val
|
|---|
| 1126 | FROM CategoryAttributes,
|
|---|
| 1127 | (VALUES ('9000 BTU'), ('12000 BTU'), ('18000 BTU'), ('24000 BTU')) AS v(val)
|
|---|
| 1128 | WHERE attribute_name = 'BTU';
|
|---|
| 1129 |
|
|---|
| 1130 | -- Power (Iron)
|
|---|
| 1131 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1132 | SELECT category_attribute_id, v.val
|
|---|
| 1133 | FROM CategoryAttributes,
|
|---|
| 1134 | (VALUES ('1000W'), ('1500W'), ('2000W'), ('2500W'), ('3000W')) AS v(val)
|
|---|
| 1135 | WHERE attribute_name = 'Power' AND category_id = 55;
|
|---|
| 1136 |
|
|---|
| 1137 | -- Steam
|
|---|
| 1138 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1139 | SELECT category_attribute_id, v.val
|
|---|
| 1140 | FROM CategoryAttributes,
|
|---|
| 1141 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1142 | WHERE attribute_name = 'Steam';
|
|---|
| 1143 |
|
|---|
| 1144 | -- Plate Type
|
|---|
| 1145 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1146 | SELECT category_attribute_id, v.val
|
|---|
| 1147 | FROM CategoryAttributes,
|
|---|
| 1148 | (VALUES ('Ceramic'), ('Stainless Steel'), ('Titanium'), ('Non-stick')) AS v(val)
|
|---|
| 1149 | WHERE attribute_name = 'Plate Type';
|
|---|
| 1150 |
|
|---|
| 1151 | -- Resistance Level
|
|---|
| 1152 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1153 | SELECT category_attribute_id, v.val
|
|---|
| 1154 | FROM CategoryAttributes,
|
|---|
| 1155 | (VALUES ('Light'), ('Medium'), ('Heavy'), ('Extra Heavy')) AS v(val)
|
|---|
| 1156 | WHERE attribute_name = 'Resistance Level';
|
|---|
| 1157 |
|
|---|
| 1158 | -- Weight (Strength Training)
|
|---|
| 1159 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1160 | SELECT category_attribute_id, v.val
|
|---|
| 1161 | FROM CategoryAttributes,
|
|---|
| 1162 | (VALUES ('1kg'), ('2kg'), ('5kg'), ('10kg'), ('15kg'), ('20kg'), ('25kg'), ('30kg')) AS v(val)
|
|---|
| 1163 | WHERE attribute_name = 'Weight';
|
|---|
| 1164 |
|
|---|
| 1165 | -- Thickness (Yoga)
|
|---|
| 1166 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1167 | SELECT category_attribute_id, v.val
|
|---|
| 1168 | FROM CategoryAttributes,
|
|---|
| 1169 | (VALUES ('3mm'), ('4mm'), ('5mm'), ('6mm'), ('8mm'), ('10mm')) AS v(val)
|
|---|
| 1170 | WHERE attribute_name = 'Thickness';
|
|---|
| 1171 |
|
|---|
| 1172 | -- Season Type (Camping)
|
|---|
| 1173 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1174 | SELECT category_attribute_id, v.val
|
|---|
| 1175 | FROM CategoryAttributes,
|
|---|
| 1176 | (VALUES ('3 Season'), ('4 Season'), ('Summer'), ('Winter')) AS v(val)
|
|---|
| 1177 | WHERE attribute_name = 'Season Type';
|
|---|
| 1178 |
|
|---|
| 1179 | -- Capacity (Camping)
|
|---|
| 1180 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1181 | SELECT category_attribute_id, v.val
|
|---|
| 1182 | FROM CategoryAttributes,
|
|---|
| 1183 | (VALUES ('1 Person'), ('2 Person'), ('3 Person'), ('4 Person'), ('6 Person+')) AS v(val)
|
|---|
| 1184 | WHERE attribute_name = 'Capacity' AND category_id = 87;
|
|---|
| 1185 |
|
|---|
| 1186 | -- Frame Material (Cycling)
|
|---|
| 1187 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1188 | SELECT category_attribute_id, v.val
|
|---|
| 1189 | FROM CategoryAttributes,
|
|---|
| 1190 | (VALUES ('Aluminum'), ('Carbon Fiber'), ('Steel'), ('Titanium')) AS v(val)
|
|---|
| 1191 | WHERE attribute_name = 'Frame Material';
|
|---|
| 1192 |
|
|---|
| 1193 | -- Gear Count
|
|---|
| 1194 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1195 | SELECT category_attribute_id, v.val
|
|---|
| 1196 | FROM CategoryAttributes,
|
|---|
| 1197 | (VALUES ('1'), ('3'), ('7'), ('21'), ('24'), ('27')) AS v(val)
|
|---|
| 1198 | WHERE attribute_name = 'Gear Count';
|
|---|
| 1199 |
|
|---|
| 1200 | -- Format (Books)
|
|---|
| 1201 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1202 | SELECT category_attribute_id, v.val
|
|---|
| 1203 | FROM CategoryAttributes,
|
|---|
| 1204 | (VALUES ('Hardcover'), ('Paperback'), ('E-book'), ('Audiobook')) AS v(val)
|
|---|
| 1205 | WHERE attribute_name = 'Format';
|
|---|
| 1206 |
|
|---|
| 1207 | -- Genre (Books)
|
|---|
| 1208 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1209 | SELECT category_attribute_id, v.val
|
|---|
| 1210 | FROM CategoryAttributes,
|
|---|
| 1211 | (VALUES ('Fiction'), ('Non-Fiction'), ('Science'), ('History'), ('Biography'), ('Fantasy'), ('Mystery'), ('Romance')) AS v(val)
|
|---|
| 1212 | WHERE attribute_name = 'Genre' AND category_id = 90;
|
|---|
| 1213 |
|
|---|
| 1214 | -- Language
|
|---|
| 1215 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1216 | SELECT category_attribute_id, v.val
|
|---|
| 1217 | FROM CategoryAttributes,
|
|---|
| 1218 | (VALUES ('English'), ('Macedonian'), ('German'), ('French'), ('Spanish'), ('Italian')) AS v(val)
|
|---|
| 1219 | WHERE attribute_name = 'Language';
|
|---|
| 1220 |
|
|---|
| 1221 | -- Engine Capacity
|
|---|
| 1222 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1223 | SELECT category_attribute_id, v.val
|
|---|
| 1224 | FROM CategoryAttributes,
|
|---|
| 1225 | (VALUES ('50cc'), ('125cc'), ('250cc'), ('400cc'), ('600cc'), ('800cc'), ('1000cc+')) AS v(val)
|
|---|
| 1226 | WHERE attribute_name = 'Engine Capacity';
|
|---|
| 1227 |
|
|---|
| 1228 | -- Mileage
|
|---|
| 1229 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1230 | SELECT category_attribute_id, v.val
|
|---|
| 1231 | FROM CategoryAttributes,
|
|---|
| 1232 | (VALUES ('0-10,000 km'), ('10,000-50,000 km'), ('50,000-100,000 km'), ('100,000-200,000 km'), ('200,000+ km')) AS v(val)
|
|---|
| 1233 | WHERE attribute_name = 'Mileage';
|
|---|
| 1234 |
|
|---|
| 1235 | -- Season (Tires)
|
|---|
| 1236 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1237 | SELECT category_attribute_id, v.val
|
|---|
| 1238 | FROM CategoryAttributes,
|
|---|
| 1239 | (VALUES ('Summer'), ('Winter'), ('All Season')) AS v(val)
|
|---|
| 1240 | WHERE attribute_name = 'Season';
|
|---|
| 1241 |
|
|---|
| 1242 | -- Heating Type
|
|---|
| 1243 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1244 | SELECT category_attribute_id, v.val
|
|---|
| 1245 | FROM CategoryAttributes,
|
|---|
| 1246 | (VALUES ('Central Heating'), ('Electric'), ('Gas'), ('Underfloor'), ('Heat Pump')) AS v(val)
|
|---|
| 1247 | WHERE attribute_name = 'Heating Type';
|
|---|
| 1248 |
|
|---|
| 1249 | -- Rooms
|
|---|
| 1250 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1251 | SELECT category_attribute_id, v.val
|
|---|
| 1252 | FROM CategoryAttributes,
|
|---|
| 1253 | (VALUES ('Studio'), ('1'), ('2'), ('3'), ('4'), ('5+')) AS v(val)
|
|---|
| 1254 | WHERE attribute_name = 'Rooms';
|
|---|
| 1255 |
|
|---|
| 1256 | -- Floor
|
|---|
| 1257 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1258 | SELECT category_attribute_id, v.val
|
|---|
| 1259 | FROM CategoryAttributes,
|
|---|
| 1260 | (VALUES ('Ground'), ('1'), ('2'), ('3'), ('4'), ('5'), ('6'), ('7'), ('8'), ('9'), ('10+')) AS v(val)
|
|---|
| 1261 | WHERE attribute_name = 'Floor';
|
|---|
| 1262 |
|
|---|
| 1263 | -- Floors (Houses)
|
|---|
| 1264 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1265 | SELECT category_attribute_id, v.val
|
|---|
| 1266 | FROM CategoryAttributes,
|
|---|
| 1267 | (VALUES ('1'), ('2'), ('3'), ('4+')) AS v(val)
|
|---|
| 1268 | WHERE attribute_name = 'Floors';
|
|---|
| 1269 |
|
|---|
| 1270 | -- Parking
|
|---|
| 1271 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1272 | SELECT category_attribute_id, v.val
|
|---|
| 1273 | FROM CategoryAttributes,
|
|---|
| 1274 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1275 | WHERE attribute_name = 'Parking';
|
|---|
| 1276 |
|
|---|
| 1277 | -- Usage Type (Shops)
|
|---|
| 1278 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1279 | SELECT category_attribute_id, v.val
|
|---|
| 1280 | FROM CategoryAttributes,
|
|---|
| 1281 | (VALUES ('Retail'), ('Restaurant'), ('Office'), ('Warehouse'), ('Mixed')) AS v(val)
|
|---|
| 1282 | WHERE attribute_name = 'Usage Type';
|
|---|
| 1283 |
|
|---|
| 1284 | -- Soil Type
|
|---|
| 1285 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1286 | SELECT category_attribute_id, v.val
|
|---|
| 1287 | FROM CategoryAttributes,
|
|---|
| 1288 | (VALUES ('Clay'), ('Sandy'), ('Loamy'), ('Silty'), ('Peaty')) AS v(val)
|
|---|
| 1289 | WHERE attribute_name = 'Soil Type';
|
|---|
| 1290 |
|
|---|
| 1291 | -- Water Access
|
|---|
| 1292 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1293 | SELECT category_attribute_id, v.val
|
|---|
| 1294 | FROM CategoryAttributes,
|
|---|
| 1295 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1296 | WHERE attribute_name = 'Water Access';
|
|---|
| 1297 |
|
|---|
| 1298 | -- Building Permit
|
|---|
| 1299 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1300 | SELECT category_attribute_id, v.val
|
|---|
| 1301 | FROM CategoryAttributes,
|
|---|
| 1302 | (VALUES ('Yes'), ('No'), ('In Progress')) AS v(val)
|
|---|
| 1303 | WHERE attribute_name = 'Building Permit';
|
|---|
| 1304 |
|
|---|
| 1305 | -- Infrastructure
|
|---|
| 1306 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1307 | SELECT category_attribute_id, v.val
|
|---|
| 1308 | FROM CategoryAttributes,
|
|---|
| 1309 | (VALUES ('Full'), ('Partial'), ('None')) AS v(val)
|
|---|
| 1310 | WHERE attribute_name = 'Infrastructure';
|
|---|
| 1311 |
|
|---|
| 1312 |
|
|---|
| 1313 |
|
|---|
| 1314 |
|
|---|
| 1315 |
|
|---|
| 1316 |
|
|---|
| 1317 |
|
|---|
| 1318 |
|
|---|
| 1319 |
|
|---|
| 1320 |
|
|---|
| 1321 |
|
|---|
| 1322 |
|
|---|
| 1323 |
|
|---|
| 1324 |
|
|---|
| 1325 |
|
|---|
| 1326 |
|
|---|
| 1327 |
|
|---|
| 1328 |
|
|---|
| 1329 |
|
|---|
| 1330 |
|
|---|
| 1331 |
|
|---|
| 1332 | -- Yard Size
|
|---|
| 1333 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1334 | SELECT category_attribute_id, v.val
|
|---|
| 1335 | FROM CategoryAttributes,
|
|---|
| 1336 | (VALUES ('Under 100m²'), ('100-300m²'), ('300-500m²'), ('500-1000m²'), ('1000m²+')) AS v(val)
|
|---|
| 1337 | WHERE attribute_name = 'Yard Size';
|
|---|
| 1338 |
|
|---|
| 1339 | -- Size (останати категории)
|
|---|
| 1340 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1341 | SELECT category_attribute_id, v.val
|
|---|
| 1342 | FROM CategoryAttributes,
|
|---|
| 1343 | (VALUES ('Small'), ('Medium'), ('Large'), ('Extra Large')) AS v(val)
|
|---|
| 1344 | WHERE attribute_name = 'Size' AND category_attribute_id IN (228,255,192,202,296,237,339);
|
|---|
| 1345 |
|
|---|
| 1346 | -- Power (останати)
|
|---|
| 1347 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1348 | SELECT category_attribute_id, v.val
|
|---|
| 1349 | FROM CategoryAttributes,
|
|---|
| 1350 | (VALUES ('500W'), ('1000W'), ('1500W'), ('2000W'), ('2500W'), ('3000W')) AS v(val)
|
|---|
| 1351 | WHERE attribute_name = 'Power' AND category_attribute_id IN (241,258,165,212,336);
|
|---|
| 1352 |
|
|---|
| 1353 | -- Type (Jackets)
|
|---|
| 1354 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1355 | SELECT category_attribute_id, v.val
|
|---|
| 1356 | FROM CategoryAttributes,
|
|---|
| 1357 | (VALUES ('Windbreaker'), ('Puffer'), ('Leather'), ('Denim'), ('Trench'), ('Bomber')) AS v(val)
|
|---|
| 1358 | WHERE attribute_name = 'Type' AND category_id = 14;
|
|---|
| 1359 |
|
|---|
| 1360 | -- Type (Bags)
|
|---|
| 1361 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1362 | SELECT category_attribute_id, v.val
|
|---|
| 1363 | FROM CategoryAttributes,
|
|---|
| 1364 | (VALUES ('Handbag'), ('Backpack'), ('Clutch'), ('Tote'), ('Shoulder Bag'), ('Crossbody')) AS v(val)
|
|---|
| 1365 | WHERE attribute_name = 'Type' AND category_id = 19;
|
|---|
| 1366 |
|
|---|
| 1367 | -- Lens Color (Sunglasses)
|
|---|
| 1368 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1369 | SELECT category_attribute_id, v.val
|
|---|
| 1370 | FROM CategoryAttributes,
|
|---|
| 1371 | (VALUES ('Black'), ('Brown'), ('Gray'), ('Blue'), ('Green'), ('Mirror'), ('Yellow')) AS v(val)
|
|---|
| 1372 | WHERE attribute_name = 'Lens Color';
|
|---|
| 1373 |
|
|---|
| 1374 | -- Strap Material / Case Material (Watches)
|
|---|
| 1375 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1376 | SELECT category_attribute_id, v.val
|
|---|
| 1377 | FROM CategoryAttributes,
|
|---|
| 1378 | (VALUES ('Leather'), ('Metal'), ('Rubber'), ('Fabric'), ('Silicone')) AS v(val)
|
|---|
| 1379 | WHERE attribute_name = 'Strap Material';
|
|---|
| 1380 |
|
|---|
| 1381 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1382 | SELECT category_attribute_id, v.val
|
|---|
| 1383 | FROM CategoryAttributes,
|
|---|
| 1384 | (VALUES ('Stainless Steel'), ('Aluminum'), ('Plastic'), ('Titanium'), ('Gold Plated')) AS v(val)
|
|---|
| 1385 | WHERE attribute_name = 'Case Material';
|
|---|
| 1386 |
|
|---|
| 1387 | -- Sensor Type
|
|---|
| 1388 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1389 | SELECT category_attribute_id, v.val
|
|---|
| 1390 | FROM CategoryAttributes,
|
|---|
| 1391 | (VALUES ('Motion'), ('Temperature'), ('Humidity'), ('Door/Window'), ('Smoke'), ('CO2')) AS v(val)
|
|---|
| 1392 | WHERE attribute_name = 'Sensor Type';
|
|---|
| 1393 |
|
|---|
| 1394 | -- Color Temperature
|
|---|
| 1395 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1396 | SELECT category_attribute_id, v.val
|
|---|
| 1397 | FROM CategoryAttributes,
|
|---|
| 1398 | (VALUES ('Warm White'), ('Cool White'), ('Daylight'), ('RGB'), ('Tunable')) AS v(val)
|
|---|
| 1399 | WHERE attribute_name = 'Color Temperature';
|
|---|
| 1400 |
|
|---|
| 1401 | -- Power Source
|
|---|
| 1402 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1403 | SELECT category_attribute_id, v.val
|
|---|
| 1404 | FROM CategoryAttributes,
|
|---|
| 1405 | (VALUES ('Electric'), ('Battery'), ('Solar'), ('Manual')) AS v(val)
|
|---|
| 1406 | WHERE attribute_name = 'Power Source';
|
|---|
| 1407 |
|
|---|
| 1408 | -- Type (Camping/Hiking)
|
|---|
| 1409 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1410 | SELECT category_attribute_id, v.val
|
|---|
| 1411 | FROM CategoryAttributes,
|
|---|
| 1412 | (VALUES ('Tent'), ('Sleeping Bag'), ('Backpack'), ('Trekking Poles'), ('Headlamp')) AS v(val)
|
|---|
| 1413 | WHERE attribute_name = 'Type' AND category_id = 87;
|
|---|
| 1414 |
|
|---|
| 1415 | -- Type (Cycling)
|
|---|
| 1416 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1417 | SELECT category_attribute_id, v.val
|
|---|
| 1418 | FROM CategoryAttributes,
|
|---|
| 1419 | (VALUES ('Road Bike'), ('Mountain Bike'), ('City Bike'), ('Electric Bike'), ('BMX')) AS v(val)
|
|---|
| 1420 | WHERE attribute_name = 'Type' AND category_id = 88;
|
|---|
| 1421 |
|
|---|
| 1422 | -- Type (Water Sports)
|
|---|
| 1423 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1424 | SELECT category_attribute_id, v.val
|
|---|
| 1425 | FROM CategoryAttributes,
|
|---|
| 1426 | (VALUES ('Surfboard'), ('Kayak'), ('Wetsuit'), ('Snorkel Set'), ('Life Jacket')) AS v(val)
|
|---|
| 1427 | WHERE attribute_name = 'Type' AND category_id = 89;
|
|---|
| 1428 |
|
|---|
| 1429 | -- Publication Year
|
|---|
| 1430 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1431 | SELECT category_attribute_id, y::text
|
|---|
| 1432 | FROM CategoryAttributes,
|
|---|
| 1433 | generate_series(1950, 2025) AS y
|
|---|
| 1434 | WHERE attribute_name = 'Publication Year';
|
|---|
| 1435 |
|
|---|
| 1436 | -- Author / Publisher
|
|---|
| 1437 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1438 | SELECT category_attribute_id, v.val
|
|---|
| 1439 | FROM CategoryAttributes,
|
|---|
| 1440 | (VALUES ('Other')) AS v(val)
|
|---|
| 1441 | WHERE attribute_name IN ('Author', 'Publisher');
|
|---|
| 1442 |
|
|---|
| 1443 | -- Volume (Books)
|
|---|
| 1444 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1445 | SELECT category_attribute_id, v.val
|
|---|
| 1446 | FROM CategoryAttributes,
|
|---|
| 1447 | (VALUES ('1'), ('2'), ('3'), ('4'), ('5'), ('6'), ('7'), ('8'), ('9'), ('10+')) AS v(val)
|
|---|
| 1448 | WHERE attribute_name = 'Volume';
|
|---|
| 1449 |
|
|---|
| 1450 | -- Issue Number / Month
|
|---|
| 1451 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1452 | SELECT category_attribute_id, v.val
|
|---|
| 1453 | FROM CategoryAttributes,
|
|---|
| 1454 | (VALUES ('1'), ('2'), ('3'), ('4'), ('5'), ('6'), ('7'), ('8'), ('9'), ('10'), ('11'), ('12')) AS v(val)
|
|---|
| 1455 | WHERE attribute_name IN ('Issue Number', 'Month');
|
|---|
| 1456 |
|
|---|
| 1457 | -- Engine Type
|
|---|
| 1458 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1459 | SELECT category_attribute_id, v.val
|
|---|
| 1460 | FROM CategoryAttributes,
|
|---|
| 1461 | (VALUES ('Petrol'), ('Diesel'), ('Electric'), ('Hybrid')) AS v(val)
|
|---|
| 1462 | WHERE attribute_name = 'Engine Type';
|
|---|
| 1463 |
|
|---|
| 1464 | -- Compatibility
|
|---|
| 1465 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1466 | SELECT category_attribute_id, v.val
|
|---|
| 1467 | FROM CategoryAttributes,
|
|---|
| 1468 | (VALUES ('Universal'), ('BMW'), ('Mercedes'), ('Audi'), ('Volkswagen'), ('Toyota'), ('Ford'), ('Honda')) AS v(val)
|
|---|
| 1469 | WHERE attribute_name = 'Compatibility';
|
|---|
| 1470 |
|
|---|
| 1471 | -- Load Capacity
|
|---|
| 1472 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1473 | SELECT category_attribute_id, v.val
|
|---|
| 1474 | FROM CategoryAttributes,
|
|---|
| 1475 | (VALUES ('Under 1t'), ('1-5t'), ('5-10t'), ('10-20t'), ('20t+')) AS v(val)
|
|---|
| 1476 | WHERE attribute_name = 'Load Capacity';
|
|---|
| 1477 |
|
|---|
| 1478 | -- Volume (Car Care)
|
|---|
| 1479 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1480 | SELECT category_attribute_id, v.val
|
|---|
| 1481 | FROM CategoryAttributes,
|
|---|
| 1482 | (VALUES ('100ml'), ('250ml'), ('500ml'), ('1L'), ('2L'), ('5L')) AS v(val)
|
|---|
| 1483 | WHERE attribute_name = 'Volume' AND category_id IN (101, 74);
|
|---|
| 1484 |
|
|---|
| 1485 | -- Battery (Tools)
|
|---|
| 1486 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1487 | SELECT category_attribute_id, v.val
|
|---|
| 1488 | FROM CategoryAttributes,
|
|---|
| 1489 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1490 | WHERE attribute_name = 'Battery' AND category_id = 73;
|
|---|
| 1491 |
|
|---|
| 1492 | -- Voltage
|
|---|
| 1493 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1494 | SELECT category_attribute_id, v.val
|
|---|
| 1495 | FROM CategoryAttributes,
|
|---|
| 1496 | (VALUES ('12V'), ('24V'), ('110V'), ('220V'), ('380V')) AS v(val)
|
|---|
| 1497 | WHERE attribute_name = 'Voltage';
|
|---|
| 1498 |
|
|---|
| 1499 | -- Capacity (Storage/Laundry)
|
|---|
| 1500 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1501 | SELECT category_attribute_id, v.val
|
|---|
| 1502 | FROM CategoryAttributes,
|
|---|
| 1503 | (VALUES ('Small'), ('Medium'), ('Large'), ('Extra Large')) AS v(val)
|
|---|
| 1504 | WHERE attribute_name = 'Capacity' AND category_attribute_id IN (208, 216);
|
|---|
| 1505 |
|
|---|
| 1506 | -- Type (Washing Machine)
|
|---|
| 1507 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1508 | SELECT category_attribute_id, v.val
|
|---|
| 1509 | FROM CategoryAttributes,
|
|---|
| 1510 | (VALUES ('Front Load'), ('Top Load')) AS v(val)
|
|---|
| 1511 | WHERE attribute_name = 'Type' AND category_id = 49;
|
|---|
| 1512 |
|
|---|
| 1513 | -- Weather Resistant
|
|---|
| 1514 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1515 | SELECT category_attribute_id, v.val
|
|---|
| 1516 | FROM CategoryAttributes,
|
|---|
| 1517 | (VALUES ('Yes'), ('No')) AS v(val)
|
|---|
| 1518 | WHERE attribute_name = 'Weather Resistant';
|
|---|
| 1519 |
|
|---|
| 1520 | -- Model (Cars)
|
|---|
| 1521 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1522 | SELECT category_attribute_id, v.val
|
|---|
| 1523 | FROM CategoryAttributes,
|
|---|
| 1524 | (VALUES
|
|---|
| 1525 | ('3 Series'), ('5 Series'), ('X5'), ('C-Class'), ('E-Class'), ('GLE'),
|
|---|
| 1526 | ('A4'), ('A6'), ('Q5'), ('Golf'), ('Passat'), ('Tiguan'),
|
|---|
| 1527 | ('Corolla'), ('Camry'), ('RAV4'), ('Focus'), ('Fiesta'), ('Kuga'),
|
|---|
| 1528 | ('Civic'), ('CR-V'), ('Tucson'), ('Elantra'), ('Other')
|
|---|
| 1529 | ) AS v(val)
|
|---|
| 1530 | WHERE attribute_name = 'Model' AND category_id = 96;
|
|---|
| 1531 |
|
|---|
| 1532 | -- Resolution (Security Cameras)
|
|---|
| 1533 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1534 | SELECT category_attribute_id, v.val
|
|---|
| 1535 | FROM CategoryAttributes,
|
|---|
| 1536 | (VALUES ('720p'), ('1080p'), ('2K'), ('4K')) AS v(val)
|
|---|
| 1537 | WHERE attribute_name = 'Resolution' AND category_id = 79;
|
|---|
| 1538 |
|
|---|
| 1539 | -- Type (Smart Lighting)
|
|---|
| 1540 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1541 | SELECT category_attribute_id, v.val
|
|---|
| 1542 | FROM CategoryAttributes,
|
|---|
| 1543 | (VALUES ('Bulb'), ('Strip'), ('Spotlight'), ('Panel'), ('Outdoor')) AS v(val)
|
|---|
| 1544 | WHERE attribute_name = 'Type' AND category_id = 78;
|
|---|
| 1545 |
|
|---|
| 1546 | -- Type (Home Automation)
|
|---|
| 1547 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1548 | SELECT category_attribute_id, v.val
|
|---|
| 1549 | FROM CategoryAttributes,
|
|---|
| 1550 | (VALUES ('Hub'), ('Switch'), ('Plug'), ('Thermostat'), ('Remote Control')) AS v(val)
|
|---|
| 1551 | WHERE attribute_name = 'Type' AND category_id = 81;
|
|---|
| 1552 |
|
|---|
| 1553 | -- Type (Cardio)
|
|---|
| 1554 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1555 | SELECT category_attribute_id, v.val
|
|---|
| 1556 | FROM CategoryAttributes,
|
|---|
| 1557 | (VALUES ('Treadmill'), ('Exercise Bike'), ('Rowing Machine'), ('Elliptical'), ('Stepper'), ('Jump Rope')) AS v(val)
|
|---|
| 1558 | WHERE attribute_name = 'Type' AND category_id = 83;
|
|---|
| 1559 |
|
|---|
| 1560 | -- Type (Vacuum Cleaners)
|
|---|
| 1561 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1562 | SELECT category_attribute_id, v.val
|
|---|
| 1563 | FROM CategoryAttributes,
|
|---|
| 1564 | (VALUES ('Upright'), ('Canister'), ('Robot'), ('Handheld'), ('Stick')) AS v(val)
|
|---|
| 1565 | WHERE attribute_name = 'Type' AND category_id IN (46, 65);
|
|---|
| 1566 |
|
|---|
| 1567 | -- Type (Laundry Care)
|
|---|
| 1568 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1569 | SELECT category_attribute_id, v.val
|
|---|
| 1570 | FROM CategoryAttributes,
|
|---|
| 1571 | (VALUES ('Front Load'), ('Top Load'), ('Washer-Dryer Combo')) AS v(val)
|
|---|
| 1572 | WHERE attribute_name = 'Type' AND category_id = 66;
|
|---|
| 1573 |
|
|---|
| 1574 | -- Type (Storage)
|
|---|
| 1575 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1576 | SELECT category_attribute_id, v.val
|
|---|
| 1577 | FROM CategoryAttributes,
|
|---|
| 1578 | (VALUES ('Shelf'), ('Cabinet'), ('Drawer'), ('Box'), ('Rack'), ('Wardrobe')) AS v(val)
|
|---|
| 1579 | WHERE attribute_name = 'Type' AND category_id IN (60, 76);
|
|---|
| 1580 |
|
|---|
| 1581 | -- Type (Lighting)
|
|---|
| 1582 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1583 | SELECT category_attribute_id, v.val
|
|---|
| 1584 | FROM CategoryAttributes,
|
|---|
| 1585 | (VALUES ('Ceiling Light'), ('Floor Lamp'), ('Table Lamp'), ('Wall Light'), ('Pendant')) AS v(val)
|
|---|
| 1586 | WHERE attribute_name = 'Type' AND category_id = 61;
|
|---|
| 1587 |
|
|---|
| 1588 | -- Type (Kitchen)
|
|---|
| 1589 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1590 | SELECT category_attribute_id, v.val
|
|---|
| 1591 | FROM CategoryAttributes,
|
|---|
| 1592 | (VALUES ('Cookware'), ('Cutlery'), ('Bakeware'), ('Storage'), ('Serveware')) AS v(val)
|
|---|
| 1593 | WHERE attribute_name = 'Type' AND category_id = 64;
|
|---|
| 1594 |
|
|---|
| 1595 | -- Type (Cleaning)
|
|---|
| 1596 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1597 | SELECT category_attribute_id, v.val
|
|---|
| 1598 | FROM CategoryAttributes,
|
|---|
| 1599 | (VALUES ('Detergent'), ('Disinfectant'), ('Scrubber'), ('Mop'), ('Brush')) AS v(val)
|
|---|
| 1600 | WHERE attribute_name = 'Type' AND category_id = 65;
|
|---|
| 1601 |
|
|---|
| 1602 | -- Type (Furniture)
|
|---|
| 1603 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1604 | SELECT category_attribute_id, v.val
|
|---|
| 1605 | FROM CategoryAttributes,
|
|---|
| 1606 | (VALUES ('Sofa'), ('Chair'), ('Table'), ('Bed'), ('Wardrobe'), ('Desk'), ('Bookshelf')) AS v(val)
|
|---|
| 1607 | WHERE attribute_name = 'Type' AND category_id = 59;
|
|---|
| 1608 |
|
|---|
| 1609 | -- Type (Electrical & Plumbing)
|
|---|
| 1610 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1611 | SELECT category_attribute_id, v.val
|
|---|
| 1612 | FROM CategoryAttributes,
|
|---|
| 1613 | (VALUES ('Cable'), ('Switch'), ('Socket'), ('Pipe'), ('Valve'), ('Fitting')) AS v(val)
|
|---|
| 1614 | WHERE attribute_name = 'Type' AND category_id = 75;
|
|---|
| 1615 |
|
|---|
| 1616 | -- Type (Tools & Hardware)
|
|---|
| 1617 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1618 | SELECT category_attribute_id, v.val
|
|---|
| 1619 | FROM CategoryAttributes,
|
|---|
| 1620 | (VALUES ('Drill'), ('Saw'), ('Screwdriver'), ('Hammer'), ('Wrench'), ('Sander')) AS v(val)
|
|---|
| 1621 | WHERE attribute_name = 'Type' AND category_id = 73;
|
|---|
| 1622 |
|
|---|
| 1623 | -- Type (Paint)
|
|---|
| 1624 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1625 | SELECT category_attribute_id, v.val
|
|---|
| 1626 | FROM CategoryAttributes,
|
|---|
| 1627 | (VALUES ('Wall Paint'), ('Wood Paint'), ('Metal Paint'), ('Primer'), ('Varnish'), ('Wallpaper')) AS v(val)
|
|---|
| 1628 | WHERE attribute_name = 'Type' AND category_id = 74;
|
|---|
| 1629 |
|
|---|
| 1630 | -- Type (Brake Parts / Suspension)
|
|---|
| 1631 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1632 | SELECT category_attribute_id, v.val
|
|---|
| 1633 | FROM CategoryAttributes,
|
|---|
| 1634 | (VALUES ('OEM'), ('Aftermarket'), ('Performance')) AS v(val)
|
|---|
| 1635 | WHERE attribute_name = 'Type' AND category_id IN (103, 104);
|
|---|
| 1636 |
|
|---|
| 1637 | -- Type (Car Accessories)
|
|---|
| 1638 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1639 | SELECT category_attribute_id, v.val
|
|---|
| 1640 | FROM CategoryAttributes,
|
|---|
| 1641 | (VALUES ('Seat Cover'), ('Floor Mat'), ('Steering Wheel Cover'), ('Car Organizer'), ('Phone Holder')) AS v(val)
|
|---|
| 1642 | WHERE attribute_name = 'Type' AND category_id = 100;
|
|---|
| 1643 |
|
|---|
| 1644 | -- Type (Car Care)
|
|---|
| 1645 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1646 | SELECT category_attribute_id, v.val
|
|---|
| 1647 | FROM CategoryAttributes,
|
|---|
| 1648 | (VALUES ('Car Wash'), ('Polish'), ('Wax'), ('Interior Cleaner'), ('Tire Cleaner')) AS v(val)
|
|---|
| 1649 | WHERE attribute_name = 'Type' AND category_id = 101;
|
|---|
| 1650 |
|
|---|
| 1651 | -- Type (Garden Tools)
|
|---|
| 1652 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1653 | SELECT category_attribute_id, v.val
|
|---|
| 1654 | FROM CategoryAttributes,
|
|---|
| 1655 | (VALUES ('Shovel'), ('Rake'), ('Hoe'), ('Pruner'), ('Lawn Mower'), ('Watering Can')) AS v(val)
|
|---|
| 1656 | WHERE attribute_name = 'Type' AND category_id = 68;
|
|---|
| 1657 |
|
|---|
| 1658 | -- Type (Plants & Pots)
|
|---|
| 1659 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1660 | SELECT category_attribute_id, v.val
|
|---|
| 1661 | FROM CategoryAttributes,
|
|---|
| 1662 | (VALUES ('Indoor Plant'), ('Outdoor Plant'), ('Succulent'), ('Flower Pot'), ('Planter Box'), ('Hanging Pot')) AS v(val)
|
|---|
| 1663 | WHERE attribute_name = 'Type' AND category_id = 69;
|
|---|
| 1664 |
|
|---|
| 1665 |
|
|---|
| 1666 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1667 | SELECT category_attribute_id, v.val
|
|---|
| 1668 | FROM CategoryAttributes,
|
|---|
| 1669 | (VALUES ('Under 30m²'), ('30-50m²'), ('50-80m²'), ('80-120m²'), ('120-200m²'), ('200m²+')) AS v(val)
|
|---|
| 1670 | WHERE attribute_name = 'Area (m²)';
|
|---|
| 1671 |
|
|---|
| 1672 |
|
|---|
| 1673 |
|
|---|
| 1674 |
|
|---|
| 1675 |
|
|---|
| 1676 |
|
|---|
| 1677 |
|
|---|
| 1678 |
|
|---|
| 1679 |
|
|---|
| 1680 |
|
|---|
| 1681 |
|
|---|
| 1682 |
|
|---|
| 1683 |
|
|---|
| 1684 |
|
|---|
| 1685 | -- Brand (T-Shirts, Shirts, Jeans, Jackets, Dresses - Fashion облека)
|
|---|
| 1686 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1687 | SELECT category_attribute_id, v.val
|
|---|
| 1688 | FROM CategoryAttributes,
|
|---|
| 1689 | (VALUES ('Nike'),('Adidas'),('Zara'),('H&M'),('Puma'),('Levi''s'),('Calvin Klein'),('Tommy Hilfiger'),('Guess'),('Mango')) AS v(val)
|
|---|
| 1690 | WHERE attribute_name = 'Brand' AND category_id IN (12,13,14,15);
|
|---|
| 1691 |
|
|---|
| 1692 | -- Brand (Boots, Heels)
|
|---|
| 1693 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1694 | SELECT category_attribute_id, v.val
|
|---|
| 1695 | FROM CategoryAttributes,
|
|---|
| 1696 | (VALUES ('Nike'),('Adidas'),('Zara'),('Steve Madden'),('Clarks'),('Timberland'),('Dr. Martens'),('Guess')) AS v(val)
|
|---|
| 1697 | WHERE attribute_name = 'Brand' AND category_id IN (17,18);
|
|---|
| 1698 |
|
|---|
| 1699 | -- Brand (Belts, Hats, Watches, Sunglasses, Bags)
|
|---|
| 1700 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1701 | SELECT category_attribute_id, v.val
|
|---|
| 1702 | FROM CategoryAttributes,
|
|---|
| 1703 | (VALUES ('Guess'),('Michael Kors'),('Calvin Klein'),('Tommy Hilfiger'),('Fossil'),('Casio'),('Zara'),('H&M')) AS v(val)
|
|---|
| 1704 | WHERE attribute_name = 'Brand' AND category_id IN (20,21,22,23);
|
|---|
| 1705 |
|
|---|
| 1706 | -- Brand (Feature Phones)
|
|---|
| 1707 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1708 | SELECT category_attribute_id, v.val
|
|---|
| 1709 | FROM CategoryAttributes,
|
|---|
| 1710 | (VALUES ('Nokia'),('Samsung'),('Alcatel'),('Doro'),('Xiaomi')) AS v(val)
|
|---|
| 1711 | WHERE attribute_name = 'Brand' AND category_id = 26;
|
|---|
| 1712 |
|
|---|
| 1713 | -- Brand (Desktops)
|
|---|
| 1714 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1715 | SELECT category_attribute_id, v.val
|
|---|
| 1716 | FROM CategoryAttributes,
|
|---|
| 1717 | (VALUES ('Dell'),('HP'),('Lenovo'),('Asus'),('Acer'),('Apple'),('MSI')) AS v(val)
|
|---|
| 1718 | WHERE attribute_name = 'Brand' AND category_id = 29;
|
|---|
| 1719 |
|
|---|
| 1720 | -- Brand (Irons)
|
|---|
| 1721 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1722 | SELECT category_attribute_id, v.val
|
|---|
| 1723 | FROM CategoryAttributes,
|
|---|
| 1724 | (VALUES ('Philips'),('Tefal'),('Rowenta'),('Bosch'),('Braun')) AS v(val)
|
|---|
| 1725 | WHERE attribute_name = 'Brand' AND category_id = 55;
|
|---|
| 1726 |
|
|---|
| 1727 | -- Brand (Furniture)
|
|---|
| 1728 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1729 | SELECT category_attribute_id, v.val
|
|---|
| 1730 | FROM CategoryAttributes,
|
|---|
| 1731 | (VALUES ('IKEA'),('Ashley'),('Jysk'),('Kika'),('Vox'),('Tempur')) AS v(val)
|
|---|
| 1732 | WHERE attribute_name = 'Brand' AND category_id = 59;
|
|---|
| 1733 |
|
|---|
| 1734 | -- Brand (Storage & Organization)
|
|---|
| 1735 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1736 | SELECT category_attribute_id, v.val
|
|---|
| 1737 | FROM CategoryAttributes,
|
|---|
| 1738 | (VALUES ('IKEA'),('Jysk'),('Leroy Merlin'),('Generic')) AS v(val)
|
|---|
| 1739 | WHERE attribute_name = 'Brand' AND category_id = 60;
|
|---|
| 1740 |
|
|---|
| 1741 | -- Brand (Lighting)
|
|---|
| 1742 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1743 | SELECT category_attribute_id, v.val
|
|---|
| 1744 | FROM CategoryAttributes,
|
|---|
| 1745 | (VALUES ('Philips'),('IKEA'),('Osram'),('Ledvance'),('Generic')) AS v(val)
|
|---|
| 1746 | WHERE attribute_name = 'Brand' AND category_id = 61;
|
|---|
| 1747 |
|
|---|
| 1748 | -- Brand (Textiles)
|
|---|
| 1749 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1750 | SELECT category_attribute_id, v.val
|
|---|
| 1751 | FROM CategoryAttributes,
|
|---|
| 1752 | (VALUES ('IKEA'),('Jysk'),('H&M Home'),('Zara Home'),('Generic')) AS v(val)
|
|---|
| 1753 | WHERE attribute_name = 'Brand' AND category_id = 62;
|
|---|
| 1754 |
|
|---|
| 1755 | -- Brand (Kitchen & Dining)
|
|---|
| 1756 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1757 | SELECT category_attribute_id, v.val
|
|---|
| 1758 | FROM CategoryAttributes,
|
|---|
| 1759 | (VALUES ('IKEA'),('Tefal'),('WMF'),('Bosch'),('Generic')) AS v(val)
|
|---|
| 1760 | WHERE attribute_name = 'Brand' AND category_id = 64;
|
|---|
| 1761 |
|
|---|
| 1762 | -- Brand (Cleaning)
|
|---|
| 1763 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1764 | SELECT category_attribute_id, v.val
|
|---|
| 1765 | FROM CategoryAttributes,
|
|---|
| 1766 | (VALUES ('Dyson'),('Kärcher'),('Vileda'),('Leifheit'),('Generic')) AS v(val)
|
|---|
| 1767 | WHERE attribute_name = 'Brand' AND category_id = 65;
|
|---|
| 1768 |
|
|---|
| 1769 | -- Brand (Laundry Care)
|
|---|
| 1770 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1771 | SELECT category_attribute_id, v.val
|
|---|
| 1772 | FROM CategoryAttributes,
|
|---|
| 1773 | (VALUES ('Bosch'),('LG'),('Samsung'),('Beko'),('Whirlpool')) AS v(val)
|
|---|
| 1774 | WHERE attribute_name = 'Brand' AND category_id = 66;
|
|---|
| 1775 |
|
|---|
| 1776 | -- Brand (Garden Tools)
|
|---|
| 1777 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1778 | SELECT category_attribute_id, v.val
|
|---|
| 1779 | FROM CategoryAttributes,
|
|---|
| 1780 | (VALUES ('Bosch'),('Black+Decker'),('Husqvarna'),('Stihl'),('Gardena')) AS v(val)
|
|---|
| 1781 | WHERE attribute_name = 'Brand' AND category_id = 68;
|
|---|
| 1782 |
|
|---|
| 1783 | -- Brand (Outdoor Furniture)
|
|---|
| 1784 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1785 | SELECT category_attribute_id, v.val
|
|---|
| 1786 | FROM CategoryAttributes,
|
|---|
| 1787 | (VALUES ('IKEA'),('Jysk'),('Keter'),('Lifetime'),('Generic')) AS v(val)
|
|---|
| 1788 | WHERE attribute_name = 'Brand' AND category_id = 70;
|
|---|
| 1789 |
|
|---|
| 1790 | -- Brand (BBQ)
|
|---|
| 1791 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1792 | SELECT category_attribute_id, v.val
|
|---|
| 1793 | FROM CategoryAttributes,
|
|---|
| 1794 | (VALUES ('Weber'),('Broil King'),('Napoleon'),('Char-Broil'),('Generic')) AS v(val)
|
|---|
| 1795 | WHERE attribute_name = 'Brand' AND category_id = 71;
|
|---|
| 1796 |
|
|---|
| 1797 | -- Brand (Tools & Hardware)
|
|---|
| 1798 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1799 | SELECT category_attribute_id, v.val
|
|---|
| 1800 | FROM CategoryAttributes,
|
|---|
| 1801 | (VALUES ('Bosch'),('Makita'),('DeWalt'),('Black+Decker'),('Stanley')) AS v(val)
|
|---|
| 1802 | WHERE attribute_name = 'Brand' AND category_id = 73;
|
|---|
| 1803 |
|
|---|
| 1804 | -- Brand (Smart Lighting)
|
|---|
| 1805 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1806 | SELECT category_attribute_id, v.val
|
|---|
| 1807 | FROM CategoryAttributes,
|
|---|
| 1808 | (VALUES ('Philips Hue'),('IKEA Tradfri'),('Govee'),('Yeelight'),('Generic')) AS v(val)
|
|---|
| 1809 | WHERE attribute_name = 'Brand' AND category_id = 78;
|
|---|
| 1810 |
|
|---|
| 1811 | -- Brand (Security Cameras)
|
|---|
| 1812 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1813 | SELECT category_attribute_id, v.val
|
|---|
| 1814 | FROM CategoryAttributes,
|
|---|
| 1815 | (VALUES ('Hikvision'),('Dahua'),('Arlo'),('Ring'),('TP-Link')) AS v(val)
|
|---|
| 1816 | WHERE attribute_name = 'Brand' AND category_id = 79;
|
|---|
| 1817 |
|
|---|
| 1818 | -- Brand (Smart Sensors / Home Automation)
|
|---|
| 1819 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1820 | SELECT category_attribute_id, v.val
|
|---|
| 1821 | FROM CategoryAttributes,
|
|---|
| 1822 | (VALUES ('Philips Hue'),('Aqara'),('Sonoff'),('TP-Link'),('Generic')) AS v(val)
|
|---|
| 1823 | WHERE attribute_name = 'Brand' AND category_id IN (80,81);
|
|---|
| 1824 |
|
|---|
| 1825 | -- Brand (Cardio / Strength / Yoga)
|
|---|
| 1826 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1827 | SELECT category_attribute_id, v.val
|
|---|
| 1828 | FROM CategoryAttributes,
|
|---|
| 1829 | (VALUES ('NordicTrack'),('Bowflex'),('Technogym'),('Life Fitness'),('Generic')) AS v(val)
|
|---|
| 1830 | WHERE attribute_name = 'Brand' AND category_id IN (83,84,85);
|
|---|
| 1831 |
|
|---|
| 1832 | -- Brand (Camping, Cycling, Water Sports)
|
|---|
| 1833 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1834 | SELECT category_attribute_id, v.val
|
|---|
| 1835 | FROM CategoryAttributes,
|
|---|
| 1836 | (VALUES ('The North Face'),('Columbia'),('Salomon'),('Decathlon'),('Generic')) AS v(val)
|
|---|
| 1837 | WHERE attribute_name = 'Brand' AND category_id IN (87,88,89);
|
|---|
| 1838 |
|
|---|
| 1839 | -- Brand (Car Electronics, Tires, Car Accessories, Car Care)
|
|---|
| 1840 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1841 | SELECT category_attribute_id, v.val
|
|---|
| 1842 | FROM CategoryAttributes,
|
|---|
| 1843 | (VALUES ('Bosch'),('Continental'),('Michelin'),('Pirelli'),('Generic')) AS v(val)
|
|---|
| 1844 | WHERE attribute_name = 'Brand' AND category_id IN (98,99,100,101);
|
|---|
| 1845 |
|
|---|
| 1846 | -- Brand (Engine, Brake, Suspension)
|
|---|
| 1847 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1848 | SELECT category_attribute_id, v.val
|
|---|
| 1849 | FROM CategoryAttributes,
|
|---|
| 1850 | (VALUES ('Bosch'),('Valeo'),('Denso'),('Continental'),('TRW'),('Brembo')) AS v(val)
|
|---|
| 1851 | WHERE attribute_name = 'Brand' AND category_id IN (102,103,104);
|
|---|
| 1852 |
|
|---|
| 1853 | -- Brand (Trucks)
|
|---|
| 1854 | INSERT INTO CategoryAttributeValues (category_attribute_id, allowed_value)
|
|---|
| 1855 | SELECT category_attribute_id, v.val
|
|---|
| 1856 | FROM CategoryAttributes,
|
|---|
| 1857 | (VALUES ('Mercedes-Benz'),('Volvo'),('MAN'),('Scania'),('DAF'),('Iveco')) AS v(val)
|
|---|
| 1858 | WHERE attribute_name = 'Brand' AND category_id = 97;
|
|---|
| 1859 |
|
|---|
| 1860 |
|
|---|
| 1861 |
|
|---|
| 1862 |
|
|---|
| 1863 |
|
|---|
| 1864 |
|
|---|
| 1865 |
|
|---|
| 1866 |
|
|---|
| 1867 |
|
|---|
| 1868 |
|
|---|
| 1869 |
|
|---|
| 1870 |
|
|---|
| 1871 |
|
|---|
| 1872 |
|
|---|
| 1873 |
|
|---|
| 1874 | SELECT ca.category_attribute_id, ca.category_id, ca.attribute_name
|
|---|
| 1875 | FROM CategoryAttributes ca
|
|---|
| 1876 | LEFT JOIN CategoryAttributeValues cav
|
|---|
| 1877 | ON cav.category_attribute_id = ca.category_attribute_id
|
|---|
| 1878 | WHERE cav.category_attribute_id IS NULL;
|
|---|
| 1879 |
|
|---|
| 1880 |
|
|---|
| 1881 |
|
|---|
| 1882 |
|
|---|
| 1883 |
|
|---|
| 1884 | --CENI
|
|---|
| 1885 |
|
|---|
| 1886 | CREATE TABLE CategoryPriceRange (
|
|---|
| 1887 | id SERIAL PRIMARY KEY,
|
|---|
| 1888 | category_id INT NOT NULL UNIQUE,
|
|---|
| 1889 | min_price DECIMAL(10,2) NOT NULL,
|
|---|
| 1890 | max_price DECIMAL(10,2) NOT NULL,
|
|---|
| 1891 | currency VARCHAR(3) NOT NULL DEFAULT 'EUR',
|
|---|
| 1892 | CONSTRAINT fk_pricerange_category FOREIGN KEY (category_id)
|
|---|
| 1893 | REFERENCES Category(category_id) ON DELETE CASCADE ON UPDATE CASCADE
|
|---|
| 1894 | );
|
|---|
| 1895 |
|
|---|
| 1896 |
|
|---|
| 1897 |
|
|---|
| 1898 | INSERT INTO CategoryPriceRange (category_id, min_price, max_price, currency) VALUES
|
|---|
| 1899 | -- Fashion
|
|---|
| 1900 | (11, 5, 50, 'EUR'), -- T-Shirts
|
|---|
| 1901 | (12, 10, 80, 'EUR'), -- Shirts
|
|---|
| 1902 | (13, 15, 100, 'EUR'), -- Jeans
|
|---|
| 1903 | (14, 20, 200, 'EUR'), -- Jackets
|
|---|
| 1904 | (15, 10, 150, 'EUR'), -- Dresses
|
|---|
| 1905 | (16, 20, 150, 'EUR'), -- Sneakers
|
|---|
| 1906 | (17, 30, 200, 'EUR'), -- Boots
|
|---|
| 1907 | (18, 20, 150, 'EUR'), -- Heels
|
|---|
| 1908 | (19, 15, 300, 'EUR'), -- Bags
|
|---|
| 1909 | (20, 5, 80, 'EUR'), -- Belts
|
|---|
| 1910 | (21, 5, 60, 'EUR'), -- Hats
|
|---|
| 1911 | (22, 20, 500, 'EUR'), -- Watches
|
|---|
| 1912 | (23, 10, 300, 'EUR'), -- Sunglasses
|
|---|
| 1913 | -- Electronics
|
|---|
| 1914 | (25, 100, 1500, 'EUR'), -- Smartphones
|
|---|
| 1915 | (26, 10, 80, 'EUR'), -- Feature Phones
|
|---|
| 1916 | (28, 300, 3000, 'EUR'), -- Laptops
|
|---|
| 1917 | (29, 200, 2500, 'EUR'), -- Desktops
|
|---|
| 1918 | (32, 150, 3000, 'EUR'), -- Televisions
|
|---|
| 1919 | (33, 20, 500, 'EUR'), -- Speakers
|
|---|
| 1920 | (34, 15, 400, 'EUR'), -- Headphones
|
|---|
| 1921 | (36, 150, 600, 'EUR'), -- Consoles
|
|---|
| 1922 | (37, 5, 80, 'EUR'), -- Games
|
|---|
| 1923 | (41, 200, 1500, 'EUR'), -- Refrigerators
|
|---|
| 1924 | (42, 100, 1200, 'EUR'), -- Ovens
|
|---|
| 1925 | (44, 30, 800, 'EUR'), -- Coffee Machines
|
|---|
| 1926 | (46, 30, 800, 'EUR'), -- Vacuum Cleaners
|
|---|
| 1927 | (49, 200, 1200, 'EUR'), -- Washing Machines
|
|---|
| 1928 | (52, 200, 1500, 'EUR'), -- Air Conditioners
|
|---|
| 1929 | (55, 15, 150, 'EUR'), -- Irons
|
|---|
| 1930 | (47, 20, 200, 'EUR'), -- Steam Cleaners
|
|---|
| 1931 | (50, 150, 800, 'EUR'), -- Dryers
|
|---|
| 1932 | (53, 30, 300, 'EUR'), -- Heaters
|
|---|
| 1933 | (56, 10, 100, 'EUR'), -- Kettles
|
|---|
| 1934 | (57, 10, 80, 'EUR'), -- Fans
|
|---|
| 1935 | -- Home & Garden
|
|---|
| 1936 | (59, 50, 2000, 'EUR'), -- Furniture & Seating
|
|---|
| 1937 | (60, 10, 300, 'EUR'), -- Storage & Organization
|
|---|
| 1938 | (61, 10, 500, 'EUR'), -- Lighting & Ambience
|
|---|
| 1939 | (62, 5, 200, 'EUR'), -- Textiles & Comfort
|
|---|
| 1940 | (64, 5, 300, 'EUR'), -- Kitchen & Dining
|
|---|
| 1941 | (65, 3, 100, 'EUR'), -- Cleaning & Maintenance
|
|---|
| 1942 | (66, 5, 50, 'EUR'), -- Laundry Care
|
|---|
| 1943 | (68, 10, 500, 'EUR'), -- Garden Tools
|
|---|
| 1944 | (69, 2, 100, 'EUR'), -- Plants & Pots
|
|---|
| 1945 | (70, 50, 2000, 'EUR'), -- Outdoor Furniture
|
|---|
| 1946 | (71, 50, 1500, 'EUR'), -- BBQ & Cooking
|
|---|
| 1947 | (73, 10, 800, 'EUR'), -- Tools & Hardware
|
|---|
| 1948 | (74, 5, 100, 'EUR'), -- Paint & Decor Materials
|
|---|
| 1949 | (75, 5, 200, 'EUR'), -- Electrical & Plumbing
|
|---|
| 1950 | (76, 10, 300, 'EUR'), -- Storage Installation
|
|---|
| 1951 | (78, 10, 200, 'EUR'), -- Smart Lighting
|
|---|
| 1952 | (79, 20, 500, 'EUR'), -- Security Cameras
|
|---|
| 1953 | (80, 10, 150, 'EUR'), -- Smart Sensors
|
|---|
| 1954 | (81, 15, 300, 'EUR'), -- Home Automation Devices
|
|---|
| 1955 | -- Sports & Outdoors
|
|---|
| 1956 | (83, 50, 3000, 'EUR'), -- Cardio Equipment
|
|---|
| 1957 | (84, 5, 500, 'EUR'), -- Strength Training
|
|---|
| 1958 | (85, 5, 100, 'EUR'), -- Yoga & Pilates
|
|---|
| 1959 | (87, 20, 500, 'EUR'), -- Camping & Hiking
|
|---|
| 1960 | (88, 50, 3000, 'EUR'), -- Cycling
|
|---|
| 1961 | (89, 10, 500, 'EUR'), -- Water Sports
|
|---|
| 1962 | -- Books And More
|
|---|
| 1963 | (90, 1, 50, 'EUR'), -- Books
|
|---|
| 1964 | (91, 1, 30, 'EUR'), -- Catalogs
|
|---|
| 1965 | (92, 1, 20, 'EUR'), -- Comics
|
|---|
| 1966 | (93, 1, 15, 'EUR'), -- Magazines
|
|---|
| 1967 | -- Automotive
|
|---|
| 1968 | (95, 500, 15000, 'EUR'), -- Motorcycles
|
|---|
| 1969 | (96, 1000, 50000, 'EUR'),-- Cars
|
|---|
| 1970 | (97, 5000, 80000, 'EUR'),-- Trucks
|
|---|
| 1971 | (98, 10, 500, 'EUR'), -- Car Electronics
|
|---|
| 1972 | (99, 20, 400, 'EUR'), -- Tires & Wheels
|
|---|
| 1973 | (100, 5, 200, 'EUR'), -- Car Accessories
|
|---|
| 1974 | (101, 3, 100, 'EUR'), -- Car Care
|
|---|
| 1975 | (102, 10, 500, 'EUR'), -- Engine Parts
|
|---|
| 1976 | (103, 10, 300, 'EUR'), -- Brake Parts
|
|---|
| 1977 | (104, 20, 400, 'EUR'), -- Suspension
|
|---|
| 1978 | -- Real Estate
|
|---|
| 1979 | (106, 30000, 200000, 'EUR'), -- Apartments
|
|---|
| 1980 | (107, 50000, 500000, 'EUR'), -- Houses
|
|---|
| 1981 | (109, 20000, 300000, 'EUR'), -- Offices
|
|---|
| 1982 | (110, 10000, 200000, 'EUR'), -- Shops
|
|---|
| 1983 | (112, 5000, 100000, 'EUR'), -- Agricultural Land
|
|---|
| 1984 | (113, 10000, 200000, 'EUR'); -- Construction Land
|
|---|
| 1985 |
|
|---|
| 1986 |
|
|---|
| 1987 |
|
|---|
| 1988 |
|
|---|
| 1989 | --PRODUCTS
|
|---|
| 1990 |
|
|---|
| 1991 | truncate table product CASCADE
|
|---|
| 1992 | ALTER SEQUENCE product_product_id_seq RESTART WITH 1;
|
|---|
| 1993 |
|
|---|
| 1994 |
|
|---|
| 1995 | ALTER TABLE product
|
|---|
| 1996 | ALTER COLUMN is_active DROP DEFAULT;
|
|---|
| 1997 |
|
|---|
| 1998 |
|
|---|
| 1999 | ALTER TABLE product
|
|---|
| 2000 | ALTER COLUMN is_active TYPE int2
|
|---|
| 2001 | USING CASE
|
|---|
| 2002 | WHEN is_active THEN 1
|
|---|
| 2003 | ELSE 0
|
|---|
| 2004 | END;
|
|---|
| 2005 |
|
|---|
| 2006 |
|
|---|
| 2007 | ALTER TABLE product
|
|---|
| 2008 | ALTER COLUMN is_active SET DEFAULT 1;
|
|---|
| 2009 |
|
|---|
| 2010 |
|
|---|
| 2011 | ALTER TABLE product
|
|---|
| 2012 | ADD CONSTRAINT chk_is_active
|
|---|
| 2013 | CHECK (is_active IN (0,1));
|
|---|
| 2014 |
|
|---|
| 2015 |
|
|---|
| 2016 |
|
|---|
| 2017 |
|
|---|
| 2018 |
|
|---|
| 2019 | INSERT INTO product (title, description, price, currency, category_id, seller_id, created_at, is_active, quantity)
|
|---|
| 2020 | WITH
|
|---|
| 2021 | leaf_cats AS (
|
|---|
| 2022 | SELECT category_id, name, row_number() OVER (ORDER BY category_id) AS rn, COUNT(*) OVER () AS total
|
|---|
| 2023 | FROM category
|
|---|
| 2024 | WHERE category_id NOT IN (
|
|---|
| 2025 | SELECT DISTINCT parent_category FROM category WHERE parent_category IS NOT NULL
|
|---|
| 2026 | )
|
|---|
| 2027 | ),
|
|---|
| 2028 | verified_users AS (
|
|---|
| 2029 | SELECT user_id, row_number() OVER (ORDER BY user_id) AS rn, COUNT(*) OVER () AS total
|
|---|
| 2030 | FROM appuser
|
|---|
| 2031 | WHERE is_verified = 1
|
|---|
| 2032 | )
|
|---|
| 2033 | SELECT
|
|---|
| 2034 | lc.name || ' - ' || left(md5(gs.i::text), 8) AS title,
|
|---|
| 2035 | 'Quality ' || lc.name || ' product. ' AS description,
|
|---|
| 2036 | round((cpr.min_price + random() * (cpr.max_price - cpr.min_price))::numeric, 2) AS price,
|
|---|
| 2037 | 'EUR' AS currency,
|
|---|
| 2038 | lc.category_id,
|
|---|
| 2039 | vu.user_id AS seller_id,
|
|---|
| 2040 | NOW() - (random() * INTERVAL '2 years') AS created_at,
|
|---|
| 2041 | CASE WHEN random() < 0.7 THEN 1 ELSE 0 END AS is_active,
|
|---|
| 2042 | floor(random() * 30 + 1)::int AS quantity
|
|---|
| 2043 | FROM generate_series(1, 20) AS gs(i)
|
|---|
| 2044 | JOIN leaf_cats lc ON lc.rn = (gs.i % lc.total) + 1
|
|---|
| 2045 | JOIN verified_users vu ON vu.rn = ((gs.i * 7) % vu.total) + 1
|
|---|
| 2046 | JOIN categorypricerange cpr ON cpr.category_id = lc.category_id;
|
|---|
| 2047 |
|
|---|
| 2048 |
|
|---|
| 2049 | select count(*)
|
|---|
| 2050 | from product p
|
|---|
| 2051 |
|
|---|
| 2052 | select max(product_id)
|
|---|
| 2053 | from product p
|
|---|
| 2054 |
|
|---|
| 2055 | select product_id
|
|---|
| 2056 | from product p
|
|---|
| 2057 | order by product_id
|
|---|
| 2058 |
|
|---|
| 2059 |
|
|---|
| 2060 | ALTER SEQUENCE product_product_id_seq RESTART WITH 2685996;
|
|---|
| 2061 |
|
|---|
| 2062 |
|
|---|
| 2063 |
|
|---|
| 2064 | SELECT MIN(product_id), MAX(product_id), COUNT(*)
|
|---|
| 2065 | FROM Product;
|
|---|
| 2066 |
|
|---|
| 2067 |
|
|---|
| 2068 | SELECT is_active, COUNT(*) AS total
|
|---|
| 2069 | FROM product
|
|---|
| 2070 | GROUP BY is_active;
|
|---|
| 2071 |
|
|---|
| 2072 | SELECT COUNT(*) AS total
|
|---|
| 2073 | FROM product
|
|---|
| 2074 | where is_active = 1 and quantity >0;
|
|---|
| 2075 |
|
|---|
| 2076 |
|
|---|
| 2077 |
|
|---|
| 2078 | UPDATE product
|
|---|
| 2079 | SET quantity = 0
|
|---|
| 2080 | WHERE is_active = 0;
|
|---|
| 2081 |
|
|---|
| 2082 |
|
|---|
| 2083 |
|
|---|
| 2084 | --PRODUCT ATTRIBUTES
|
|---|
| 2085 |
|
|---|
| 2086 | SELECT column_name, data_type
|
|---|
| 2087 | FROM information_schema.columns
|
|---|
| 2088 | WHERE table_name = 'productattributes';
|
|---|
| 2089 |
|
|---|
| 2090 |
|
|---|
| 2091 |
|
|---|
| 2092 | TRUNCATE TABLE productattributes;
|
|---|
| 2093 | ALTER SEQUENCE productattributes_attribute_id_seq RESTART WITH 1;
|
|---|
| 2094 |
|
|---|
| 2095 |
|
|---|
| 2096 | SELECT pid, state, query, wait_event_type, wait_event
|
|---|
| 2097 | FROM pg_stat_activity
|
|---|
| 2098 | WHERE state = 'active'
|
|---|
| 2099 | AND pid <> pg_backend_pid();
|
|---|
| 2100 |
|
|---|
| 2101 |
|
|---|
| 2102 |
|
|---|
| 2103 | INSERT INTO productattributes (product_id, category_attribute_id, attribute_value)
|
|---|
| 2104 | SELECT
|
|---|
| 2105 | p.product_id,
|
|---|
| 2106 | ca.category_attribute_id,
|
|---|
| 2107 | CASE
|
|---|
| 2108 | WHEN ca.attribute_name = 'Location' THEN
|
|---|
| 2109 | round((41.5 + random() * 1.0)::numeric, 6)::text || ', ' ||
|
|---|
| 2110 | round((20.5 + random() * 2.5)::numeric, 6)::text
|
|---|
| 2111 | ELSE cav.allowed_value
|
|---|
| 2112 | END AS attribute_value
|
|---|
| 2113 | FROM product p
|
|---|
| 2114 | JOIN categoryattributes ca ON ca.category_id = p.category_id
|
|---|
| 2115 | JOIN LATERAL (
|
|---|
| 2116 | SELECT allowed_value
|
|---|
| 2117 | FROM categoryattributevalues
|
|---|
| 2118 | WHERE category_attribute_id = ca.category_attribute_id
|
|---|
| 2119 | ORDER BY md5(p.product_id::text || ca.category_attribute_id::text || allowed_value)
|
|---|
| 2120 | LIMIT 1
|
|---|
| 2121 | ) cav ON ca.attribute_name != 'Location'
|
|---|
| 2122 | WHERE p.product_id > 2000000;
|
|---|
| 2123 |
|
|---|
| 2124 |
|
|---|
| 2125 | SELECT COUNT(*) FROM productattributes;
|
|---|
| 2126 | SELECT MAX(product_id) FROM productattributes;
|
|---|
| 2127 |
|
|---|
| 2128 | SELECT MAX(product_id) FROM product;
|
|---|
| 2129 |
|
|---|
| 2130 |
|
|---|
| 2131 |
|
|---|
| 2132 | SELECT indexname FROM pg_indexes WHERE tablename = 'categoryattributevalues';
|
|---|
| 2133 |
|
|---|
| 2134 |
|
|---|
| 2135 |
|
|---|
| 2136 | --Products stavame location
|
|---|
| 2137 |
|
|---|
| 2138 | ALTER TABLE product ADD COLUMN location VARCHAR(255);
|
|---|
| 2139 |
|
|---|
| 2140 | UPDATE product
|
|---|
| 2141 | SET location = (ARRAY[
|
|---|
| 2142 | -- Macedonia
|
|---|
| 2143 | 'Skopje','Bitola','Kumanovo','Prilep','Tetovo','Ohrid','Veles','Shtip','Strumica','Gostivar',
|
|---|
| 2144 | 'Kicevo','Struga','Radovis','Kavadarci','Kocani','Debar','Gevgelija','Resen','Berovo','Delcevo',
|
|---|
| 2145 | -- Serbia
|
|---|
| 2146 | 'Belgrade','Novi Sad','Nis','Kragujevac','Subotica','Zrenjanin','Pancevo','Cacak','Leskovac','Uzice',
|
|---|
| 2147 | -- Croatia
|
|---|
| 2148 | 'Zagreb','Split','Rijeka','Osijek','Zadar','Pula','Slavonski Brod','Karlovac','Sisak','Varazdin',
|
|---|
| 2149 | -- Bosnia
|
|---|
| 2150 | 'Sarajevo','Banja Luka','Tuzla','Mostar','Zenica','Prijedor','Bijeljina','Trebinje',
|
|---|
| 2151 | -- Slovenia
|
|---|
| 2152 | 'Ljubljana','Maribor','Celje','Kranj','Koper','Novo Mesto','Velenje','Nova Gorica',
|
|---|
| 2153 | -- Bulgaria
|
|---|
| 2154 | 'Sofia','Plovdiv','Varna','Burgas','Ruse','Stara Zagora','Pleven','Sliven','Dobrich','Shumen',
|
|---|
| 2155 | -- Albania
|
|---|
| 2156 | 'Tirana','Durres','Shkoder','Vlore','Elbasan','Korce','Fier','Berat',
|
|---|
| 2157 | -- Greece
|
|---|
| 2158 | 'Athens','Thessaloniki','Patras','Heraklion','Larissa','Volos','Ioannina','Rhodes','Kavala',
|
|---|
| 2159 | -- Turkey
|
|---|
| 2160 | 'Istanbul','Ankara','Izmir','Bursa','Antalya','Adana','Konya','Gaziantep','Kayseri','Mersin',
|
|---|
| 2161 | -- Germany
|
|---|
| 2162 | 'Berlin','Munich','Hamburg','Frankfurt','Cologne','Stuttgart','Dusseldorf','Leipzig','Dresden','Hannover',
|
|---|
| 2163 | 'Nuremberg','Bremen','Dortmund','Essen','Duisburg','Bochum','Wuppertal','Bonn','Mannheim','Karlsruhe',
|
|---|
| 2164 | -- Austria
|
|---|
| 2165 | 'Vienna','Graz','Linz','Salzburg','Innsbruck','Klagenfurt','Villach','Wels','St. Polten','Dornbirn',
|
|---|
| 2166 | -- Switzerland
|
|---|
| 2167 | 'Zurich','Geneva','Basel','Bern','Lausanne','Winterthur','Lucerne','St. Gallen','Lugano','Biel',
|
|---|
| 2168 | -- United Kingdom
|
|---|
| 2169 | 'London','Manchester','Birmingham','Glasgow','Liverpool','Edinburgh','Bristol','Leeds','Sheffield','Newcastle',
|
|---|
| 2170 | 'Nottingham','Leicester','Coventry','Bradford','Cardiff','Belfast','Southampton','Portsmouth','Oxford','Cambridge',
|
|---|
| 2171 | -- France
|
|---|
| 2172 | 'Paris','Lyon','Marseille','Toulouse','Nice','Nantes','Strasbourg','Montpellier','Bordeaux','Lille',
|
|---|
| 2173 | 'Rennes','Reims','Saint-Etienne','Toulon','Grenoble','Dijon','Angers','Nimes','Villeurbanne','Saint-Denis',
|
|---|
| 2174 | -- Italy
|
|---|
| 2175 | 'Rome','Milan','Naples','Turin','Palermo','Genoa','Bologna','Florence','Bari','Catania',
|
|---|
| 2176 | 'Venice','Verona','Messina','Padua','Trieste','Brescia','Taranto','Prato','Reggio Calabria','Modena',
|
|---|
| 2177 | -- Spain
|
|---|
| 2178 | 'Madrid','Barcelona','Valencia','Seville','Zaragoza','Malaga','Murcia','Palma','Las Palmas','Bilbao',
|
|---|
| 2179 | 'Alicante','Cordoba','Valladolid','Vigo','Gijon','Hospitalet','Granada','Vitoria','Elche','Oviedo',
|
|---|
| 2180 | -- Portugal
|
|---|
| 2181 | 'Lisbon','Porto','Braga','Coimbra','Funchal','Setubal','Aveiro','Faro','Evora','Leiria',
|
|---|
| 2182 | -- Netherlands
|
|---|
| 2183 | 'Amsterdam','Rotterdam','The Hague','Utrecht','Eindhoven','Tilburg','Groningen','Almere','Breda','Nijmegen',
|
|---|
| 2184 | -- Belgium
|
|---|
| 2185 | 'Brussels','Antwerp','Ghent','Charleroi','Liege','Bruges','Namur','Leuven','Mons','Mechelen',
|
|---|
| 2186 | -- Poland
|
|---|
| 2187 | 'Warsaw','Krakow','Lodz','Wroclaw','Poznan','Gdansk','Szczecin','Bydgoszcz','Lublin','Katowice',
|
|---|
| 2188 | -- Czech Republic
|
|---|
| 2189 | 'Prague','Brno','Ostrava','Plzen','Liberec','Olomouc','Usti nad Labem','Ceske Budejovice','Pardubice','Hradec Kralove',
|
|---|
| 2190 | -- Hungary
|
|---|
| 2191 | 'Budapest','Debrecen','Miskolc','Pecs','Gyor','Szeged','Nyiregyhaza','Kecskemet','Szekesfehervar','Szombathely',
|
|---|
| 2192 | -- Romania
|
|---|
| 2193 | 'Bucharest','Cluj-Napoca','Timisoara','Iasi','Constanta','Craiova','Brasov','Galati','Ploiesti','Oradea',
|
|---|
| 2194 | -- Slovakia
|
|---|
| 2195 | 'Bratislava','Kosice','Presov','Zilina','Banska Bystrica','Nitra','Trnava','Martin','Trencin','Poprad',
|
|---|
| 2196 | -- Denmark
|
|---|
| 2197 | 'Copenhagen','Aarhus','Odense','Aalborg','Esbjerg','Randers','Kolding','Horsens','Vejle','Roskilde',
|
|---|
| 2198 | -- Sweden
|
|---|
| 2199 | 'Stockholm','Gothenburg','Malmo','Uppsala','Vasteras','Orebro','Linkoping','Helsingborg','Jonkoping','Norrkoping',
|
|---|
| 2200 | -- Norway
|
|---|
| 2201 | 'Oslo','Bergen','Trondheim','Stavanger','Drammen','Fredrikstad','Kristiansand','Sandnes','Tromso','Sarpsborg',
|
|---|
| 2202 | -- Finland
|
|---|
| 2203 | 'Helsinki','Espoo','Tampere','Vantaa','Oulu','Turku','Jyvaskyla','Lahti','Kuopio','Kouvola',
|
|---|
| 2204 | -- Russia
|
|---|
| 2205 | 'Moscow','Saint Petersburg','Novosibirsk','Yekaterinburg','Kazan','Nizhny Novgorod','Chelyabinsk','Samara','Omsk','Rostov-on-Don',
|
|---|
| 2206 | -- Ukraine
|
|---|
| 2207 | 'Kyiv','Kharkiv','Odessa','Dnipro','Donetsk','Zaporizhzhia','Lviv','Kryvyi Rih','Mykolaiv','Mariupol',
|
|---|
| 2208 | -- Moldova
|
|---|
| 2209 | 'Chisinau','Tiraspol','Balti','Bender','Ribnita',
|
|---|
| 2210 | -- Belarus
|
|---|
| 2211 | 'Minsk','Gomel','Mogilev','Vitebsk','Grodno','Brest',
|
|---|
| 2212 | -- Lithuania
|
|---|
| 2213 | 'Vilnius','Kaunas','Klaipeda','Siauliai','Panevezys',
|
|---|
| 2214 | -- Latvia
|
|---|
| 2215 | 'Riga','Daugavpils','Liepaja','Jelgava','Jurmala',
|
|---|
| 2216 | -- Estonia
|
|---|
| 2217 | 'Tallinn','Tartu','Narva','Parnu','Kohtla-Jarve',
|
|---|
| 2218 | -- Montenegro
|
|---|
| 2219 | 'Podgorica','Niksic','Herceg Novi','Bar','Budva',
|
|---|
| 2220 | -- Kosovo
|
|---|
| 2221 | 'Pristina','Prizren','Peja','Mitrovica','Gjilan',
|
|---|
| 2222 | -- North Macedonia already covered above
|
|---|
| 2223 | -- Ireland
|
|---|
| 2224 | 'Dublin','Cork','Limerick','Galway','Waterford',
|
|---|
| 2225 | -- Iceland
|
|---|
| 2226 | 'Reykjavik','Kopavogur','Hafnarfjordur','Akureyri',
|
|---|
| 2227 | -- Luxembourg
|
|---|
| 2228 | 'Luxembourg City','Esch-sur-Alzette','Differdange','Dudelange',
|
|---|
| 2229 | -- Malta
|
|---|
| 2230 | 'Valletta','Birkirkara','Mosta','Qormi','Naxxar',
|
|---|
| 2231 | -- Cyprus
|
|---|
| 2232 | 'Nicosia','Limassol','Larnaca','Famagusta','Paphos'
|
|---|
| 2233 | ])[floor(random() * 330 + 1)::int];
|
|---|
| 2234 |
|
|---|
| 2235 |
|
|---|
| 2236 | --SAVED SEARCHES
|
|---|
| 2237 |
|
|---|
| 2238 | truncate table savedsearches cascade;
|
|---|
| 2239 | ALTER SEQUENCE savedsearches_search_id_seq RESTART WITH 1;
|
|---|
| 2240 |
|
|---|
| 2241 |
|
|---|
| 2242 | ALTER TABLE savedsearches
|
|---|
| 2243 | DROP COLUMN filters;
|
|---|
| 2244 |
|
|---|
| 2245 |
|
|---|
| 2246 |
|
|---|
| 2247 |
|
|---|
| 2248 | INSERT INTO savedsearches (user_id, category_id, min_price, max_price, location)
|
|---|
| 2249 | WITH
|
|---|
| 2250 | active_users AS (
|
|---|
| 2251 | SELECT user_id, row_number() OVER (ORDER BY user_id) AS rn
|
|---|
| 2252 | FROM appuser
|
|---|
| 2253 | WHERE is_active = 1
|
|---|
| 2254 | ),
|
|---|
| 2255 | user_count AS (SELECT COUNT(*) AS total FROM appuser WHERE is_active = 1),
|
|---|
| 2256 | leaf_cats AS (
|
|---|
| 2257 | SELECT category_id, row_number() OVER (ORDER BY category_id) AS rn
|
|---|
| 2258 | FROM category
|
|---|
| 2259 | WHERE category_id NOT IN (
|
|---|
| 2260 | SELECT DISTINCT parent_category FROM category WHERE parent_category IS NOT NULL
|
|---|
| 2261 | )
|
|---|
| 2262 | ),
|
|---|
| 2263 | cat_count AS (
|
|---|
| 2264 | SELECT COUNT(*) AS total FROM category
|
|---|
| 2265 | WHERE category_id NOT IN (
|
|---|
| 2266 | SELECT DISTINCT parent_category FROM category WHERE parent_category IS NOT NULL
|
|---|
| 2267 | )
|
|---|
| 2268 | )
|
|---|
| 2269 | SELECT
|
|---|
| 2270 | au.user_id,
|
|---|
| 2271 | lc.category_id,
|
|---|
| 2272 | cpr.min_price + floor(random() * (cpr.max_price - cpr.min_price) * 0.4)::int AS min_price,
|
|---|
| 2273 | cpr.min_price + floor(random() * (cpr.max_price - cpr.min_price) * 0.6 + (cpr.max_price - cpr.min_price) * 0.4)::int AS max_price,
|
|---|
| 2274 | (ARRAY[
|
|---|
| 2275 | 'Skopje','Bitola','Kumanovo','Prilep','Tetovo','Ohrid','Veles','Shtip','Strumica','Gostivar',
|
|---|
| 2276 | 'Belgrade','Novi Sad','Nis','Kragujevac','Subotica',
|
|---|
| 2277 | 'Zagreb','Split','Rijeka','Osijek','Zadar',
|
|---|
| 2278 | 'Sarajevo','Banja Luka','Tuzla','Mostar',
|
|---|
| 2279 | 'Ljubljana','Maribor','Celje',
|
|---|
| 2280 | 'Sofia','Plovdiv','Varna','Burgas',
|
|---|
| 2281 | 'Tirana','Durres','Shkoder',
|
|---|
| 2282 | 'Athens','Thessaloniki','Patras',
|
|---|
| 2283 | 'Istanbul','Ankara','Izmir',
|
|---|
| 2284 | 'Berlin','Munich','Hamburg','Frankfurt','Cologne',
|
|---|
| 2285 | 'Vienna','Graz','Linz','Salzburg',
|
|---|
| 2286 | 'Zurich','Geneva','Basel','Bern',
|
|---|
| 2287 | 'London','Manchester','Birmingham','Glasgow','Liverpool',
|
|---|
| 2288 | 'Paris','Lyon','Marseille','Toulouse','Nice',
|
|---|
| 2289 | 'Rome','Milan','Naples','Turin','Florence',
|
|---|
| 2290 | 'Madrid','Barcelona','Valencia','Seville',
|
|---|
| 2291 | 'Lisbon','Porto','Braga',
|
|---|
| 2292 | 'Amsterdam','Rotterdam','Utrecht',
|
|---|
| 2293 | 'Brussels','Antwerp','Ghent',
|
|---|
| 2294 | 'Warsaw','Krakow','Wroclaw','Gdansk',
|
|---|
| 2295 | 'Prague','Brno','Ostrava',
|
|---|
| 2296 | 'Budapest','Debrecen','Miskolc',
|
|---|
| 2297 | 'Bucharest','Cluj-Napoca','Timisoara',
|
|---|
| 2298 | 'Bratislava','Kosice',
|
|---|
| 2299 | 'Copenhagen','Aarhus',
|
|---|
| 2300 | 'Stockholm','Gothenburg','Malmo',
|
|---|
| 2301 | 'Oslo','Bergen','Trondheim',
|
|---|
| 2302 | 'Helsinki','Tampere','Turku',
|
|---|
| 2303 | 'Moscow','Saint Petersburg',
|
|---|
| 2304 | 'Kyiv','Kharkiv','Lviv',
|
|---|
| 2305 | 'Vilnius','Riga','Tallinn',
|
|---|
| 2306 | 'Dublin','Cork',
|
|---|
| 2307 | 'Podgorica','Pristina',
|
|---|
| 2308 | 'Nicosia','Limassol'
|
|---|
| 2309 | ])[floor(random() * 100 + 1)::int] AS location
|
|---|
| 2310 | FROM generate_series(300001, 500000) AS gs(i)
|
|---|
| 2311 | CROSS JOIN user_count uc
|
|---|
| 2312 | CROSS JOIN cat_count cc
|
|---|
| 2313 | JOIN active_users au ON au.rn = (gs.i % uc.total) + 1
|
|---|
| 2314 | JOIN leaf_cats lc ON lc.rn = ((gs.i * 13) % cc.total) + 1
|
|---|
| 2315 | JOIN categorypricerange cpr ON cpr.category_id = lc.category_id;
|
|---|
| 2316 |
|
|---|
| 2317 |
|
|---|
| 2318 | SELECT COUNT(*) FROM savedsearches;
|
|---|
| 2319 |
|
|---|
| 2320 |
|
|---|
| 2321 |
|
|---|
| 2322 |
|
|---|
| 2323 | SELECT pid, state, query
|
|---|
| 2324 | FROM pg_stat_activity
|
|---|
| 2325 | WHERE state = 'active'
|
|---|
| 2326 | AND pid <> pg_backend_pid();
|
|---|
| 2327 |
|
|---|
| 2328 |
|
|---|
| 2329 |
|
|---|
| 2330 | --SAVED SEARCHES ATTRIBUTES
|
|---|
| 2331 | truncate table savedsearchesattributes cascade;
|
|---|
| 2332 | ALTER SEQUENCE savedsearchesattributes_saved_search_attribute_id_seq RESTART WITH 1;
|
|---|
| 2333 |
|
|---|
| 2334 |
|
|---|
| 2335 |
|
|---|
| 2336 | INSERT INTO savedsearchesattributes (saved_search_id, category_attribute_id, attribute_value)
|
|---|
| 2337 | WITH
|
|---|
| 2338 | search_attrs AS (
|
|---|
| 2339 | SELECT
|
|---|
| 2340 | ss.search_id,
|
|---|
| 2341 | ss.category_id,
|
|---|
| 2342 | ca.category_attribute_id,
|
|---|
| 2343 | ca.attribute_name,
|
|---|
| 2344 | row_number() OVER (PARTITION BY ss.search_id ORDER BY md5(ss.search_id::text || ca.category_attribute_id::text)) AS attr_rank,
|
|---|
| 2345 | (ss.search_id % 3) + 1 AS num_attrs
|
|---|
| 2346 | FROM savedsearches ss
|
|---|
| 2347 | JOIN categoryattributes ca ON ca.category_id = ss.category_id
|
|---|
| 2348 | WHERE ca.attribute_name != 'Location' AND ss.search_id > 100000
|
|---|
| 2349 | )
|
|---|
| 2350 | SELECT
|
|---|
| 2351 | sa.search_id,
|
|---|
| 2352 | sa.category_attribute_id,
|
|---|
| 2353 | (
|
|---|
| 2354 | SELECT cav.allowed_value
|
|---|
| 2355 | FROM categoryattributevalues cav
|
|---|
| 2356 | WHERE cav.category_attribute_id = sa.category_attribute_id
|
|---|
| 2357 | ORDER BY md5(sa.search_id::text || sa.category_attribute_id::text || cav.allowed_value)
|
|---|
| 2358 | LIMIT 1
|
|---|
| 2359 | ) AS attribute_value
|
|---|
| 2360 | FROM search_attrs sa
|
|---|
| 2361 | WHERE sa.attr_rank <= sa.num_attrs;
|
|---|
| 2362 |
|
|---|
| 2363 |
|
|---|
| 2364 |
|
|---|
| 2365 | SELECT MAX(saved_search_id) FROM savedsearchesattributes s;
|
|---|
| 2366 |
|
|---|
| 2367 |
|
|---|
| 2368 |
|
|---|
| 2369 | --PRODUCT IMAGES
|
|---|
| 2370 |
|
|---|
| 2371 |
|
|---|
| 2372 | truncate table productimages cascade;
|
|---|
| 2373 | ALTER SEQUENCE productimages_image_id_seq RESTART WITH 1;
|
|---|
| 2374 |
|
|---|
| 2375 | INSERT INTO productimages (product_id, image_url)
|
|---|
| 2376 | WITH img_counts AS (
|
|---|
| 2377 | SELECT
|
|---|
| 2378 | product_id,
|
|---|
| 2379 | (product_id % 4) + 2 AS num_images
|
|---|
| 2380 | FROM product
|
|---|
| 2381 | WHERE product_id >1500000
|
|---|
| 2382 | )
|
|---|
| 2383 | SELECT
|
|---|
| 2384 | ic.product_id,
|
|---|
| 2385 | 'https://images.marketnet.com/products/' || ic.product_id || '/' || gs.n || '_' || left(md5(ic.product_id::text || gs.n::text), 8) || '.jpg' AS image_url
|
|---|
| 2386 | FROM img_counts ic
|
|---|
| 2387 | CROSS JOIN generate_series(1, 5) AS gs(n)
|
|---|
| 2388 | WHERE gs.n <= ic.num_images;
|
|---|
| 2389 |
|
|---|
| 2390 |
|
|---|
| 2391 | select count(*) from productimages p
|
|---|
| 2392 |
|
|---|
| 2393 |
|
|---|
| 2394 |
|
|---|
| 2395 | --PRODUT VIEWS
|
|---|
| 2396 |
|
|---|
| 2397 | TRUNCATE TABLE productviews;
|
|---|
| 2398 | ALTER SEQUENCE productviews_view_id_seq RESTART WITH 1;
|
|---|
| 2399 |
|
|---|
| 2400 |
|
|---|
| 2401 | TRUNCATE TABLE productviews;
|
|---|
| 2402 | ALTER SEQUENCE productviews_view_id_seq RESTART WITH 1;
|
|---|
| 2403 |
|
|---|
| 2404 |
|
|---|
| 2405 |
|
|---|
| 2406 |
|
|---|
| 2407 | INSERT INTO productviews (user_id, product_id, viewed_at)
|
|---|
| 2408 | WITH
|
|---|
| 2409 | all_users AS (
|
|---|
| 2410 | SELECT user_id, row_number() OVER (ORDER BY user_id) AS rn
|
|---|
| 2411 | FROM appuser
|
|---|
| 2412 | ),
|
|---|
| 2413 | user_count AS (SELECT COUNT(*) AS total FROM appuser),
|
|---|
| 2414 | all_products AS (
|
|---|
| 2415 | SELECT product_id, row_number() OVER (ORDER BY product_id) AS rn
|
|---|
| 2416 | FROM product WHERE is_active = 1
|
|---|
| 2417 | ),
|
|---|
| 2418 | product_count AS (SELECT COUNT(*) AS total FROM product WHERE is_active = 1)
|
|---|
| 2419 | SELECT
|
|---|
| 2420 | au.user_id,
|
|---|
| 2421 | ap.product_id,
|
|---|
| 2422 | NOW() - (random() * INTERVAL '1 year') AS viewed_at
|
|---|
| 2423 | FROM generate_series(1, 1000000) AS gs(i)
|
|---|
| 2424 | CROSS JOIN user_count uc
|
|---|
| 2425 | CROSS JOIN product_count pc
|
|---|
| 2426 | JOIN all_users au ON au.rn = (gs.i % 50000) + 1
|
|---|
| 2427 | JOIN all_products ap ON ap.rn = (gs.i % 100000) + 1;
|
|---|
| 2428 |
|
|---|
| 2429 |
|
|---|
| 2430 |
|
|---|
| 2431 | select count(*) from productviews p2
|
|---|
| 2432 | select count(distinct user_id) from productviews p
|
|---|
| 2433 |
|
|---|
| 2434 |
|
|---|
| 2435 | select count(*) from favorites f
|
|---|
| 2436 | select count(distinct product_id) from favorites f2
|
|---|
| 2437 |
|
|---|
| 2438 |
|
|---|
| 2439 | select count(*) from orderitems o
|
|---|
| 2440 | select count(distinct product_id) from orderitems o2
|
|---|
| 2441 |
|
|---|
| 2442 |
|
|---|
| 2443 |
|
|---|
| 2444 | --PRODUCT STATS
|
|---|
| 2445 |
|
|---|
| 2446 |
|
|---|
| 2447 |
|
|---|
| 2448 | truncate table productstats
|
|---|
| 2449 |
|
|---|
| 2450 |
|
|---|
| 2451 |
|
|---|
| 2452 | INSERT INTO productstats (product_id, views_count, favorites_count, sells_count)
|
|---|
| 2453 | SELECT
|
|---|
| 2454 | p.product_id,
|
|---|
| 2455 | COALESCE(v.views_count, 0) AS views_count,
|
|---|
| 2456 | COALESCE(f.favorites_count, 0) AS favorites_count,
|
|---|
| 2457 | COALESCE(s.sells_count, 0) AS sells_count
|
|---|
| 2458 | FROM product p
|
|---|
| 2459 | LEFT JOIN (
|
|---|
| 2460 | SELECT product_id, COUNT(*) AS views_count
|
|---|
| 2461 | FROM productviews
|
|---|
| 2462 | GROUP BY product_id
|
|---|
| 2463 | ) v ON v.product_id = p.product_id
|
|---|
| 2464 | LEFT JOIN (
|
|---|
| 2465 | SELECT product_id, COUNT(*) AS favorites_count
|
|---|
| 2466 | FROM favorites
|
|---|
| 2467 | GROUP BY product_id
|
|---|
| 2468 | ) f ON f.product_id = p.product_id
|
|---|
| 2469 | LEFT JOIN (
|
|---|
| 2470 | SELECT product_id, SUM(quantity) AS sells_count
|
|---|
| 2471 | FROM orderitems
|
|---|
| 2472 | GROUP BY product_id
|
|---|
| 2473 | ) s ON s.product_id = p.product_id;
|
|---|
| 2474 |
|
|---|
| 2475 |
|
|---|
| 2476 |
|
|---|
| 2477 | select count(distinct product_id) from productviews p2
|
|---|
| 2478 |
|
|---|
| 2479 | select count(*)
|
|---|
| 2480 | from productstats p
|
|---|
| 2481 | where sells_count > 5
|
|---|
| 2482 |
|
|---|
| 2483 |
|
|---|
| 2484 | --NOTIFICATIONS
|
|---|
| 2485 |
|
|---|
| 2486 |
|
|---|
| 2487 | ALTER TABLE notifications
|
|---|
| 2488 | ALTER COLUMN favorite_id DROP NOT NULL,
|
|---|
| 2489 | ALTER COLUMN saved_search_id DROP NOT NULL,
|
|---|
| 2490 | ALTER COLUMN order_id DROP NOT NULL,
|
|---|
| 2491 | ALTER COLUMN message_id SET DEFAULT NULL;
|
|---|
| 2492 |
|
|---|
| 2493 | ALTER TABLE notifications
|
|---|
| 2494 | ADD CONSTRAINT fk_notifications_message
|
|---|
| 2495 | FOREIGN KEY (message_id) REFERENCES public.message(message_id) ON DELETE CASCADE ON UPDATE CASCADE;
|
|---|
| 2496 |
|
|---|
| 2497 |
|
|---|
| 2498 |
|
|---|
| 2499 |
|
|---|
| 2500 |
|
|---|
| 2501 | SELECT COUNT(*) FROM favorites;
|
|---|
| 2502 | SELECT COUNT(*) FROM savedsearches;
|
|---|
| 2503 | SELECT COUNT(*) FROM "order";
|
|---|
| 2504 | SELECT COUNT(*) FROM message;
|
|---|
| 2505 |
|
|---|
| 2506 |
|
|---|
| 2507 |
|
|---|
| 2508 |
|
|---|
| 2509 | TRUNCATE TABLE notifications;
|
|---|
| 2510 | ALTER SEQUENCE notifications_notification_id_seq RESTART WITH 1;
|
|---|
| 2511 |
|
|---|
| 2512 |
|
|---|
| 2513 |
|
|---|
| 2514 | INSERT INTO notifications (user_id, type, title, message, favorite_id, saved_search_id, message_id, order_id)
|
|---|
| 2515 | WITH
|
|---|
| 2516 | notif_types AS (
|
|---|
| 2517 | SELECT * FROM (VALUES
|
|---|
| 2518 | ('PRICE_CHANGE'),
|
|---|
| 2519 | ('NEW_PRODUCT_MATCH'),
|
|---|
| 2520 | ('ORDER_STATUS_CHANGE'),
|
|---|
| 2521 | ('NEW_MESSAGE')
|
|---|
| 2522 | ) AS t(type)
|
|---|
| 2523 | ),
|
|---|
| 2524 | all_favorites AS (
|
|---|
| 2525 | SELECT favorite_id, user_id, row_number() OVER (ORDER BY favorite_id) AS rn
|
|---|
| 2526 | FROM favorites
|
|---|
| 2527 | ),
|
|---|
| 2528 | fav_count AS (SELECT COUNT(*) AS total FROM favorites),
|
|---|
| 2529 | all_searches AS (
|
|---|
| 2530 | SELECT search_id, user_id, row_number() OVER (ORDER BY search_id) AS rn
|
|---|
| 2531 | FROM savedsearches
|
|---|
| 2532 | ),
|
|---|
| 2533 | search_count AS (SELECT COUNT(*) AS total FROM savedsearches),
|
|---|
| 2534 | all_orders AS (
|
|---|
| 2535 | SELECT o.order_id, o.buyer_id AS user_id, row_number() OVER (ORDER BY o.order_id) AS rn
|
|---|
| 2536 | FROM "order" o
|
|---|
| 2537 | ),
|
|---|
| 2538 | order_count AS (SELECT COUNT(*) AS total FROM "order"),
|
|---|
| 2539 | all_messages AS (
|
|---|
| 2540 | SELECT m.message_id, c.buyer_id AS user_id, row_number() OVER (ORDER BY m.message_id) AS rn
|
|---|
| 2541 | FROM message m
|
|---|
| 2542 | JOIN conversation c ON c.conversation_id = m.conversation_id
|
|---|
| 2543 | ),
|
|---|
| 2544 | msg_count AS (SELECT COUNT(*) AS total FROM message)
|
|---|
| 2545 | SELECT
|
|---|
| 2546 | CASE (gs.i % 4)
|
|---|
| 2547 | WHEN 0 THEN f.user_id
|
|---|
| 2548 | WHEN 1 THEN ss.user_id
|
|---|
| 2549 | WHEN 2 THEN o.user_id
|
|---|
| 2550 | ELSE m.user_id
|
|---|
| 2551 | END AS user_id,
|
|---|
| 2552 | CASE (gs.i % 4)
|
|---|
| 2553 | WHEN 0 THEN 'PRICE_CHANGE'
|
|---|
| 2554 | WHEN 1 THEN 'NEW_PRODUCT_MATCH'
|
|---|
| 2555 | WHEN 2 THEN 'ORDER_STATUS_CHANGE'
|
|---|
| 2556 | ELSE 'NEW_MESSAGE'
|
|---|
| 2557 | END AS type,
|
|---|
| 2558 | CASE (gs.i % 4)
|
|---|
| 2559 | WHEN 0 THEN 'Price Change Alert'
|
|---|
| 2560 | WHEN 1 THEN 'New Product Match'
|
|---|
| 2561 | WHEN 2 THEN 'Order Status Update'
|
|---|
| 2562 | ELSE 'New Message'
|
|---|
| 2563 | END AS title,
|
|---|
| 2564 | CASE (gs.i % 4)
|
|---|
| 2565 | WHEN 0 THEN 'The price of a product in your favorites has changed.'
|
|---|
| 2566 | WHEN 1 THEN 'A new product matching your saved search is available.'
|
|---|
| 2567 | WHEN 2 THEN 'Your order status has been updated.'
|
|---|
| 2568 | ELSE 'You have received a new message.'
|
|---|
| 2569 | END AS message,
|
|---|
| 2570 | CASE WHEN gs.i % 4 = 0 THEN f.favorite_id ELSE NULL END AS favorite_id,
|
|---|
| 2571 | CASE WHEN gs.i % 4 = 1 THEN ss.search_id ELSE NULL END AS saved_search_id,
|
|---|
| 2572 | CASE WHEN gs.i % 4 = 3 THEN m.message_id ELSE NULL END AS message_id,
|
|---|
| 2573 | CASE WHEN gs.i % 4 = 2 THEN o.order_id ELSE NULL END AS order_id
|
|---|
| 2574 | FROM generate_series(1, 3000000) AS gs(i)
|
|---|
| 2575 | CROSS JOIN fav_count fc
|
|---|
| 2576 | CROSS JOIN search_count sc
|
|---|
| 2577 | CROSS JOIN order_count oc
|
|---|
| 2578 | CROSS JOIN msg_count mc
|
|---|
| 2579 | JOIN all_favorites f ON f.rn = (gs.i % fc.total) + 1
|
|---|
| 2580 | JOIN all_searches ss ON ss.rn = ((gs.i * 3) % sc.total) + 1
|
|---|
| 2581 | JOIN all_orders o ON o.rn = ((gs.i * 7) % oc.total) + 1
|
|---|
| 2582 | JOIN all_messages m ON m.rn = ((gs.i * 11) % mc.total) + 1;
|
|---|
| 2583 |
|
|---|
| 2584 |
|
|---|
| 2585 | select count(*) from notifications n ;
|
|---|
| 2586 |
|
|---|
| 2587 |
|
|---|
| 2588 | select count(*)
|
|---|
| 2589 | from product p, appuser a
|
|---|
| 2590 | where p.seller_id = a.user_id and a.is_active = 0
|
|---|
| 2591 |
|
|---|
| 2592 |
|
|---|
| 2593 | select *
|
|---|
| 2594 | from cartitems c
|
|---|
| 2595 | where c.cart_id = 2;
|
|---|
| 2596 |
|
|---|
| 2597 |
|
|---|
| 2598 |
|
|---|
| 2599 |
|
|---|
| 2600 | ---------------------------------------------------------------------------------------------------------------------------------------
|
|---|
| 2601 |
|
|---|
| 2602 |
|
|---|
| 2603 |
|
|---|
| 2604 | -- PACKAGE
|
|---|
| 2605 | ALTER TABLE public.package
|
|---|
| 2606 | ADD CONSTRAINT package_price_check
|
|---|
| 2607 | CHECK (
|
|---|
| 2608 | (name = 'BRONZE' AND duration_days = 30 AND price = 2.00) OR
|
|---|
| 2609 | (name = 'BRONZE' AND duration_days = 60 AND price = 3.80) OR
|
|---|
| 2610 | (name = 'BRONZE' AND duration_days = 90 AND price = 5.40) OR
|
|---|
| 2611 | (name = 'BRONZE' AND duration_days = 180 AND price = 9.80) OR
|
|---|
| 2612 | (name = 'BRONZE' AND duration_days = 365 AND price = 18.00) OR
|
|---|
| 2613 | (name = 'SILVER' AND duration_days = 30 AND price = 5.00) OR
|
|---|
| 2614 | (name = 'SILVER' AND duration_days = 60 AND price = 9.50) OR
|
|---|
| 2615 | (name = 'SILVER' AND duration_days = 90 AND price = 13.50) OR
|
|---|
| 2616 | (name = 'SILVER' AND duration_days = 180 AND price = 24.50) OR
|
|---|
| 2617 | (name = 'SILVER' AND duration_days = 365 AND price = 45.00) OR
|
|---|
| 2618 | (name = 'GOLD' AND duration_days = 30 AND price = 10.00) OR
|
|---|
| 2619 | (name = 'GOLD' AND duration_days = 60 AND price = 19.00) OR
|
|---|
| 2620 | (name = 'GOLD' AND duration_days = 90 AND price = 27.00) OR
|
|---|
| 2621 | (name = 'GOLD' AND duration_days = 180 AND price = 49.00) OR
|
|---|
| 2622 | (name = 'GOLD' AND duration_days = 365 AND price = 90.00)
|
|---|
| 2623 | );
|
|---|
| 2624 |
|
|---|
| 2625 |
|
|---|
| 2626 | TRUNCATE TABLE public.package RESTART IDENTITY;
|
|---|
| 2627 |
|
|---|
| 2628 | INSERT INTO public.package (name, description, currency, price, visibility_level, duration_days)
|
|---|
| 2629 | VALUES
|
|---|
| 2630 | ('BRONZE', 'Bronze package - 30 days', 'EUR', 2.00, 'BASIC', 30),
|
|---|
| 2631 | ('BRONZE', 'Bronze package - 60 days', 'EUR', 3.80, 'BASIC', 60),
|
|---|
| 2632 | ('BRONZE', 'Bronze package - 90 days', 'EUR', 5.40, 'BASIC', 90),
|
|---|
| 2633 | ('BRONZE', 'Bronze package - 180 days', 'EUR', 9.80, 'BASIC', 180),
|
|---|
| 2634 | ('BRONZE', 'Bronze package - 365 days', 'EUR', 18.00, 'BASIC', 365),
|
|---|
| 2635 | ('SILVER', 'Silver package - 30 days', 'EUR', 5.00, 'STANDARD', 30),
|
|---|
| 2636 | ('SILVER', 'Silver package - 60 days', 'EUR', 9.50, 'STANDARD', 60),
|
|---|
| 2637 | ('SILVER', 'Silver package - 90 days', 'EUR', 13.50, 'STANDARD', 90),
|
|---|
| 2638 | ('SILVER', 'Silver package - 180 days', 'EUR', 24.50, 'STANDARD',180),
|
|---|
| 2639 | ('SILVER', 'Silver package - 365 days', 'EUR', 45.00, 'STANDARD',365),
|
|---|
| 2640 | ('GOLD', 'Gold package - 30 days', 'EUR', 10.00, 'PREMIUM', 30),
|
|---|
| 2641 | ('GOLD', 'Gold package - 60 days', 'EUR', 19.00, 'PREMIUM', 60),
|
|---|
| 2642 | ('GOLD', 'Gold package - 90 days', 'EUR', 27.00, 'PREMIUM', 90),
|
|---|
| 2643 | ('GOLD', 'Gold package - 180 days', 'EUR', 49.00, 'PREMIUM', 180),
|
|---|
| 2644 | ('GOLD', 'Gold package - 365 days', 'EUR', 90.00, 'PREMIUM', 365);
|
|---|
| 2645 |
|
|---|
| 2646 |
|
|---|
| 2647 |
|
|---|
| 2648 |
|
|---|
| 2649 |
|
|---|
| 2650 |
|
|---|
| 2651 |
|
|---|
| 2652 |
|
|---|
| 2653 |
|
|---|
| 2654 | -- USER PACKAGES
|
|---|
| 2655 |
|
|---|
| 2656 |
|
|---|
| 2657 | INSERT INTO public.userpackages (seller_id, package_id, start_date, end_date)
|
|---|
| 2658 | WITH verified_sellers AS (
|
|---|
| 2659 | SELECT user_id
|
|---|
| 2660 | FROM public.appuser
|
|---|
| 2661 | WHERE is_verified = 1
|
|---|
| 2662 | ),
|
|---|
| 2663 | -- Секој seller добива 1 историски (истечен) + 1 тековен пакет (70% шанса)
|
|---|
| 2664 | historical AS (
|
|---|
| 2665 | SELECT
|
|---|
| 2666 | vs.user_id AS seller_id,
|
|---|
| 2667 | -- Рандом пакет
|
|---|
| 2668 | (SELECT package_id FROM public.package ORDER BY RANDOM() LIMIT 1) AS package_id,
|
|---|
| 2669 | -- Старт пред 60-365 дена
|
|---|
| 2670 | NOW() - (FLOOR(RANDOM() * 305 + 60) || ' days')::INTERVAL AS start_date
|
|---|
| 2671 | FROM verified_sellers vs
|
|---|
| 2672 | ),
|
|---|
| 2673 | historical_with_end AS (
|
|---|
| 2674 | SELECT
|
|---|
| 2675 | seller_id,
|
|---|
| 2676 | package_id,
|
|---|
| 2677 | start_date,
|
|---|
| 2678 | start_date + (
|
|---|
| 2679 | SELECT duration_days FROM public.package WHERE package_id = historical.package_id
|
|---|
| 2680 | ) * INTERVAL '1 day' AS end_date
|
|---|
| 2681 | FROM historical
|
|---|
| 2682 | -- Само историски: end_date мора да е во минато
|
|---|
| 2683 | WHERE start_date + (
|
|---|
| 2684 | SELECT duration_days FROM public.package WHERE package_id = historical.package_id
|
|---|
| 2685 | ) * INTERVAL '1 day' < NOW()
|
|---|
| 2686 | ),
|
|---|
| 2687 | -- Тековен активен пакет за секој seller
|
|---|
| 2688 | current_packages AS (
|
|---|
| 2689 | SELECT
|
|---|
| 2690 | vs.user_id AS seller_id,
|
|---|
| 2691 | (SELECT package_id FROM public.package ORDER BY RANDOM() LIMIT 1) AS package_id,
|
|---|
| 2692 | NOW() - (FLOOR(RANDOM() * 10) || ' days')::INTERVAL AS start_date
|
|---|
| 2693 | FROM verified_sellers vs
|
|---|
| 2694 | WHERE RANDOM() < 0.85 -- 85% имаат активен пакет моментално
|
|---|
| 2695 | ),
|
|---|
| 2696 | current_with_end AS (
|
|---|
| 2697 | SELECT
|
|---|
| 2698 | seller_id,
|
|---|
| 2699 | package_id,
|
|---|
| 2700 | start_date,
|
|---|
| 2701 | start_date + (
|
|---|
| 2702 | SELECT duration_days FROM public.package WHERE package_id = current_packages.package_id
|
|---|
| 2703 | ) * INTERVAL '1 day' AS end_date
|
|---|
| 2704 | FROM current_packages
|
|---|
| 2705 | )
|
|---|
| 2706 | SELECT seller_id, package_id, start_date, end_date FROM historical_with_end
|
|---|
| 2707 | UNION ALL
|
|---|
| 2708 | SELECT seller_id, package_id, start_date, end_date FROM current_with_end;
|
|---|
| 2709 |
|
|---|
| 2710 |
|
|---|
| 2711 |
|
|---|
| 2712 |
|
|---|
| 2713 |
|
|---|
| 2714 |
|
|---|
| 2715 | -- CART
|
|---|
| 2716 |
|
|---|
| 2717 | alter sequence cartitems_cart_item_id_seq restart with 1
|
|---|
| 2718 |
|
|---|
| 2719 | ALTER TABLE public.cart ALTER COLUMN total_price TYPE NUMERIC(10,2);
|
|---|
| 2720 | ALTER TABLE public.cartitems ALTER COLUMN price_at_time TYPE NUMERIC(10,2);
|
|---|
| 2721 |
|
|---|
| 2722 |
|
|---|
| 2723 | INSERT INTO public.cart (user_id, created_at, total_price)
|
|---|
| 2724 | SELECT
|
|---|
| 2725 | user_id,
|
|---|
| 2726 | (CURRENT_DATE - (FLOOR(RANDOM() * 365))::int) AS created_at,
|
|---|
| 2727 | 0
|
|---|
| 2728 | FROM public.appuser;
|
|---|
| 2729 |
|
|---|
| 2730 |
|
|---|
| 2731 |
|
|---|
| 2732 | -- CART ITEMS
|
|---|
| 2733 |
|
|---|
| 2734 | INSERT INTO public.cartitems (cart_id, product_id, quantity, price_at_time)
|
|---|
| 2735 | WITH item_counts AS (
|
|---|
| 2736 | SELECT cart_id,
|
|---|
| 2737 | CASE WHEN RANDOM() < 0.15 THEN 0
|
|---|
| 2738 | ELSE (FLOOR(RANDOM() * 5) + 1)::int
|
|---|
| 2739 | END AS num_items
|
|---|
| 2740 | FROM public.cart
|
|---|
| 2741 | ),
|
|---|
| 2742 | expanded AS (
|
|---|
| 2743 | SELECT ic.cart_id, gs.n
|
|---|
| 2744 | FROM item_counts ic
|
|---|
| 2745 | CROSS JOIN generate_series(1, 5) AS gs(n)
|
|---|
| 2746 | WHERE gs.n <= ic.num_items
|
|---|
| 2747 | ),
|
|---|
| 2748 | products_numbered AS (
|
|---|
| 2749 | SELECT product_id, price,
|
|---|
| 2750 | ROW_NUMBER() OVER (ORDER BY RANDOM()) AS rn
|
|---|
| 2751 | FROM public.product
|
|---|
| 2752 | WHERE is_active = 1
|
|---|
| 2753 | ),
|
|---|
| 2754 | total AS (
|
|---|
| 2755 | SELECT MAX(rn) AS max_rn FROM products_numbered
|
|---|
| 2756 | ),
|
|---|
| 2757 | expanded_with_rn AS (
|
|---|
| 2758 | SELECT
|
|---|
| 2759 | e.cart_id,
|
|---|
| 2760 | e.n,
|
|---|
| 2761 | (FLOOR(RANDOM() * t.max_rn) + 1)::int AS rand_rn
|
|---|
| 2762 | FROM expanded e
|
|---|
| 2763 | CROSS JOIN total t
|
|---|
| 2764 | ),
|
|---|
| 2765 | with_qty AS (
|
|---|
| 2766 | SELECT
|
|---|
| 2767 | ewr.cart_id,
|
|---|
| 2768 | p.product_id,
|
|---|
| 2769 | CASE WHEN RANDOM() < 0.70 THEN 1
|
|---|
| 2770 | WHEN RANDOM() < 0.90 THEN 2
|
|---|
| 2771 | ELSE 3
|
|---|
| 2772 | END AS quantity,
|
|---|
| 2773 | p.price
|
|---|
| 2774 | FROM expanded_with_rn ewr
|
|---|
| 2775 | JOIN products_numbered p ON p.rn = ewr.rand_rn
|
|---|
| 2776 | )
|
|---|
| 2777 | SELECT DISTINCT ON (cart_id, product_id)
|
|---|
| 2778 | cart_id,
|
|---|
| 2779 | product_id,
|
|---|
| 2780 | quantity,
|
|---|
| 2781 | price * quantity AS price_at_time
|
|---|
| 2782 | FROM with_qty
|
|---|
| 2783 | ORDER BY cart_id, product_id
|
|---|
| 2784 | ON CONFLICT (cart_id, product_id) DO NOTHING;
|
|---|
| 2785 |
|
|---|
| 2786 |
|
|---|
| 2787 |
|
|---|
| 2788 | -- CART UPDATE
|
|---|
| 2789 |
|
|---|
| 2790 |
|
|---|
| 2791 | UPDATE public.cart SET total_price = s.total
|
|---|
| 2792 | FROM (SELECT cart_id, SUM(price_at_time) AS total FROM public.cartitems WHERE cart_id BETWEEN 1 AND 50000 GROUP BY cart_id) s
|
|---|
| 2793 | WHERE public.cart.cart_id = s.cart_id;
|
|---|
| 2794 |
|
|---|
| 2795 |
|
|---|
| 2796 | UPDATE public.cart SET total_price = s.total
|
|---|
| 2797 | FROM (SELECT cart_id, SUM(price_at_time) AS total FROM public.cartitems WHERE cart_id BETWEEN 50001 AND 200000 GROUP BY cart_id) s
|
|---|
| 2798 | WHERE public.cart.cart_id = s.cart_id;
|
|---|
| 2799 |
|
|---|
| 2800 |
|
|---|
| 2801 | -- ORDER
|
|---|
| 2802 |
|
|---|
| 2803 |
|
|---|
| 2804 | INSERT INTO public."order" (buyer_id, cart_id, total_price, status, created_at)
|
|---|
| 2805 | SELECT
|
|---|
| 2806 | c.user_id AS buyer_id,
|
|---|
| 2807 | c.cart_id,
|
|---|
| 2808 | c.total_price,
|
|---|
| 2809 | CASE
|
|---|
| 2810 | WHEN RANDOM() < 0.20 THEN 'PENDING'
|
|---|
| 2811 | WHEN RANDOM() < 0.45 THEN 'CONFIRMED'
|
|---|
| 2812 | WHEN RANDOM() < 0.65 THEN 'SHIPPED'
|
|---|
| 2813 | WHEN RANDOM() < 0.85 THEN 'DELIVERED'
|
|---|
| 2814 | ELSE 'CANCELLED'
|
|---|
| 2815 | END::public.order_status AS status,
|
|---|
| 2816 | c.created_at + (FLOOR(RANDOM() * 5) || ' days')::INTERVAL AS created_at
|
|---|
| 2817 | FROM public.cart c
|
|---|
| 2818 | WHERE RANDOM() < 0.70;
|
|---|
| 2819 |
|
|---|
| 2820 | -- ЧЕКОР 2: Провери
|
|---|
| 2821 | SELECT COUNT(*) FROM public."order";
|
|---|
| 2822 |
|
|---|
| 2823 |
|
|---|
| 2824 | -- ORDER ITEMS
|
|---|
| 2825 |
|
|---|
| 2826 | INSERT INTO public.orderitems (order_id, product_id, seller_id, price_at_time, quantity)
|
|---|
| 2827 | SELECT
|
|---|
| 2828 | o.order_id,
|
|---|
| 2829 | ci.product_id,
|
|---|
| 2830 | p.seller_id,
|
|---|
| 2831 | ci.price_at_time,
|
|---|
| 2832 | ci.quantity
|
|---|
| 2833 | FROM public."order" o
|
|---|
| 2834 | JOIN public.cartitems ci ON ci.cart_id = o.cart_id
|
|---|
| 2835 | JOIN public.product p ON p.product_id = ci.product_id;
|
|---|
| 2836 |
|
|---|
| 2837 | SELECT COUNT(*) AS vkupno_orderitems FROM public.orderitems;
|
|---|
| 2838 | SELECT COUNT(DISTINCT product_id) AS unikatni_produkti FROM public.orderitems;
|
|---|
| 2839 |
|
|---|
| 2840 |
|
|---|
| 2841 | -- PAYMENTS ZA ORDERS
|
|---|
| 2842 | INSERT INTO public.payment (user_id, order_id, package_id, amount, payment_method, transaction_date)
|
|---|
| 2843 | SELECT
|
|---|
| 2844 | o.buyer_id AS user_id,
|
|---|
| 2845 | o.order_id,
|
|---|
| 2846 | NULL AS package_id,
|
|---|
| 2847 | o.total_price AS amount,
|
|---|
| 2848 | (ARRAY['CARD','PAYPAL','CRYPTO','CASH'])[FLOOR(RANDOM() * 4 + 1)::int] AS payment_method,
|
|---|
| 2849 | (o.created_at + (FLOOR(RANDOM() * 3) || ' days')::INTERVAL)::date AS transaction_date
|
|---|
| 2850 | FROM public."order" o;
|
|---|
| 2851 |
|
|---|
| 2852 | -- Payments за packages
|
|---|
| 2853 | INSERT INTO public.payment (user_id, order_id, package_id, amount, payment_method, transaction_date)
|
|---|
| 2854 | SELECT
|
|---|
| 2855 | up.seller_id AS user_id,
|
|---|
| 2856 | NULL AS order_id,
|
|---|
| 2857 | up.user_package_id AS package_id,
|
|---|
| 2858 | p.price AS amount,
|
|---|
| 2859 | (ARRAY['CARD','PAYPAL','CRYPTO','CASH'])[FLOOR(RANDOM() * 4 + 1)::int] AS payment_method,
|
|---|
| 2860 | up.start_date::date AS transaction_date
|
|---|
| 2861 | FROM public.userpackages up
|
|---|
| 2862 | JOIN public.package p ON p.package_id = up.package_id;
|
|---|
| 2863 |
|
|---|
| 2864 |
|
|---|
| 2865 | SELECT
|
|---|
| 2866 | CASE WHEN order_id IS NOT NULL THEN 'ORDER' ELSE 'PACKAGE' END AS tip,
|
|---|
| 2867 | COUNT(*) AS broj
|
|---|
| 2868 | FROM public.payment
|
|---|
| 2869 | GROUP BY tip;
|
|---|
| 2870 |
|
|---|
| 2871 |
|
|---|
| 2872 |
|
|---|
| 2873 |
|
|---|
| 2874 | -- TRANSACTIONS
|
|---|
| 2875 | INSERT INTO public.transactions (payment_id, seller_id, amount, status, transaction_date)
|
|---|
| 2876 | SELECT
|
|---|
| 2877 | pay.payment_id,
|
|---|
| 2878 | oi.seller_id,
|
|---|
| 2879 | SUM(oi.price_at_time) AS amount,
|
|---|
| 2880 | (ARRAY['PENDING','PROCESSING','COMPLETED','FAILED','CANCELLED'])[FLOOR(RANDOM() * 5 + 1)::int] AS status,
|
|---|
| 2881 | pay.transaction_date + (FLOOR(RANDOM() * 3) || ' days')::INTERVAL AS transaction_date
|
|---|
| 2882 | FROM public.payment pay
|
|---|
| 2883 | JOIN public.orderitems oi ON oi.order_id = pay.order_id
|
|---|
| 2884 | WHERE pay.order_id IS NOT NULL
|
|---|
| 2885 | GROUP BY pay.payment_id, oi.seller_id, pay.transaction_date;
|
|---|
| 2886 |
|
|---|
| 2887 |
|
|---|
| 2888 | SELECT COUNT(*) AS vkupno_transakcii FROM public.transactions;
|
|---|
| 2889 |
|
|---|
| 2890 | SELECT status, COUNT(*) AS broj
|
|---|
| 2891 | FROM public.transactions
|
|---|
| 2892 | GROUP BY status
|
|---|
| 2893 | ORDER BY broj DESC;
|
|---|
| 2894 |
|
|---|
| 2895 | -- REVIEW
|
|---|
| 2896 |
|
|---|
| 2897 | INSERT INTO public.review (product_id, buyer_id, seller_id, rating, comment, created_at)
|
|---|
| 2898 | SELECT
|
|---|
| 2899 | oi.product_id,
|
|---|
| 2900 | o.buyer_id,
|
|---|
| 2901 | oi.seller_id,
|
|---|
| 2902 | (FLOOR(RANDOM() * 5) + 1)::int AS rating,
|
|---|
| 2903 | CASE (FLOOR(RANDOM() * 5) + 1)::int
|
|---|
| 2904 | WHEN 1 THEN 'Terrible experience, not recommended.'
|
|---|
| 2905 | WHEN 2 THEN 'Below average, expected better quality.'
|
|---|
| 2906 | WHEN 3 THEN 'Average product, nothing special.'
|
|---|
| 2907 | WHEN 4 THEN 'Good product, satisfied with the purchase.'
|
|---|
| 2908 | WHEN 5 THEN 'Excellent product, highly recommended!'
|
|---|
| 2909 | END AS comment,
|
|---|
| 2910 | (o.created_at + (FLOOR(RANDOM() * 10) + 1 || ' days')::INTERVAL)::date AS created_at
|
|---|
| 2911 | FROM public.orderitems oi
|
|---|
| 2912 | JOIN public."order" o ON o.order_id = oi.order_id
|
|---|
| 2913 | WHERE RANDOM() < 0.80;
|
|---|
| 2914 |
|
|---|
| 2915 |
|
|---|
| 2916 | SELECT COUNT(*) AS vkupno_reviews FROM public.review;
|
|---|
| 2917 | SELECT COUNT(DISTINCT product_id) AS unikatni_produkti FROM public.review;
|
|---|
| 2918 | SELECT rating, COUNT(*) AS broj FROM public.review GROUP BY rating ORDER BY rating;
|
|---|
| 2919 |
|
|---|
| 2920 |
|
|---|
| 2921 | SELECT product_id, COUNT(*) AS broj_reviews
|
|---|
| 2922 | FROM public.review
|
|---|
| 2923 | GROUP BY product_id
|
|---|
| 2924 | HAVING COUNT(*) > 1
|
|---|
| 2925 | ORDER BY broj_reviews DESC
|
|---|
| 2926 | LIMIT 10;
|
|---|
| 2927 |
|
|---|
| 2928 |
|
|---|
| 2929 |
|
|---|
| 2930 | SELECT AVG(cnt)::NUMERIC(10,2), MIN(cnt), MAX(cnt)
|
|---|
| 2931 | FROM (
|
|---|
| 2932 | SELECT seller_id, COUNT(*) AS cnt
|
|---|
| 2933 | FROM public.orderitems
|
|---|
| 2934 | GROUP BY seller_id
|
|---|
| 2935 | ) sub;
|
|---|
| 2936 |
|
|---|
| 2937 |
|
|---|
| 2938 | SELECT AVG(avg_rating)::NUMERIC(10,2), MIN(avg_rating), MAX(avg_rating)
|
|---|
| 2939 | FROM (
|
|---|
| 2940 | SELECT seller_id, AVG(rating) AS avg_rating
|
|---|
| 2941 | FROM public.review
|
|---|
| 2942 | GROUP BY seller_id
|
|---|
| 2943 | ) sub;
|
|---|
| 2944 |
|
|---|
| 2945 |
|
|---|
| 2946 | SELECT COUNT(DISTINCT up.seller_id)
|
|---|
| 2947 | FROM public.userpackages up
|
|---|
| 2948 | JOIN public.package p ON p.package_id = up.package_id
|
|---|
| 2949 | WHERE p.name = 'GOLD';
|
|---|
| 2950 |
|
|---|
| 2951 |
|
|---|
| 2952 |
|
|---|
| 2953 |
|
|---|
| 2954 |
|
|---|
| 2955 |
|
|---|
| 2956 |
|
|---|
| 2957 | -- USER BADGE
|
|---|
| 2958 |
|
|---|
| 2959 |
|
|---|
| 2960 | INSERT INTO public.userbadge (user_id, badge_id, awarded_at)
|
|---|
| 2961 |
|
|---|
| 2962 | -- 1. NEW_SELLER - барем 1 продажба
|
|---|
| 2963 | SELECT DISTINCT oi.seller_id, 1, CURRENT_DATE
|
|---|
| 2964 | FROM public.orderitems oi
|
|---|
| 2965 | JOIN public.appuser a ON a.user_id = oi.seller_id
|
|---|
| 2966 | WHERE a.is_verified = 1
|
|---|
| 2967 |
|
|---|
| 2968 | UNION
|
|---|
| 2969 |
|
|---|
| 2970 | -- 2. VERIFIED - is_verified = 1
|
|---|
| 2971 | SELECT user_id, 2, CURRENT_DATE
|
|---|
| 2972 | FROM public.appuser
|
|---|
| 2973 | WHERE is_verified = 1
|
|---|
| 2974 |
|
|---|
| 2975 | UNION
|
|---|
| 2976 |
|
|---|
| 2977 | -- 3. TOP_SELLER - повеќе од 10 продажби
|
|---|
| 2978 | SELECT seller_id, 3, CURRENT_DATE
|
|---|
| 2979 | FROM public.orderitems
|
|---|
| 2980 | GROUP BY seller_id
|
|---|
| 2981 | HAVING COUNT(*) > 10
|
|---|
| 2982 |
|
|---|
| 2983 | UNION
|
|---|
| 2984 |
|
|---|
| 2985 | -- 4. TRUSTED_SELLER - prosecen rating >= 3.5
|
|---|
| 2986 | SELECT seller_id, 4, CURRENT_DATE
|
|---|
| 2987 | FROM public.review
|
|---|
| 2988 | GROUP BY seller_id
|
|---|
| 2989 | HAVING AVG(rating) >= 3.5
|
|---|
| 2990 |
|
|---|
| 2991 | UNION
|
|---|
| 2992 |
|
|---|
| 2993 | -- 5. POPULAR - poveke od 3 razlicni buyers
|
|---|
| 2994 | SELECT seller_id, 5, CURRENT_DATE
|
|---|
| 2995 | FROM public.orderitems
|
|---|
| 2996 | GROUP BY seller_id
|
|---|
| 2997 | HAVING COUNT(DISTINCT order_id) > 3
|
|---|
| 2998 |
|
|---|
| 2999 | UNION
|
|---|
| 3000 |
|
|---|
| 3001 | -- 6. ACTIVE_USER - poveke od 5 prodazbi
|
|---|
| 3002 | SELECT seller_id, 6, CURRENT_DATE
|
|---|
| 3003 | FROM public.orderitems
|
|---|
| 3004 | GROUP BY seller_id
|
|---|
| 3005 | HAVING COUNT(*) > 5
|
|---|
| 3006 |
|
|---|
| 3007 | UNION
|
|---|
| 3008 |
|
|---|
| 3009 | -- 7. LOYAL_CUSTOMER - poveke od 8 prodazbi
|
|---|
| 3010 | SELECT seller_id, 7, CURRENT_DATE
|
|---|
| 3011 | FROM public.orderitems
|
|---|
| 3012 | GROUP BY seller_id
|
|---|
| 3013 | HAVING COUNT(*) > 8
|
|---|
| 3014 |
|
|---|
| 3015 | UNION
|
|---|
| 3016 |
|
|---|
| 3017 | -- 8. FIRST_SALE - barем 1 completed transakcija
|
|---|
| 3018 | SELECT DISTINCT t.seller_id, 8, CURRENT_DATE
|
|---|
| 3019 | FROM public.transactions t
|
|---|
| 3020 | WHERE t.status = 'COMPLETED'
|
|---|
| 3021 |
|
|---|
| 3022 | UNION
|
|---|
| 3023 |
|
|---|
| 3024 | -- 9. HIGH_VOLUME - poveke od 15 prodazbi
|
|---|
| 3025 | SELECT seller_id, 9, CURRENT_DATE
|
|---|
| 3026 | FROM public.orderitems
|
|---|
| 3027 | GROUP BY seller_id
|
|---|
| 3028 | HAVING COUNT(*) > 15
|
|---|
| 3029 |
|
|---|
| 3030 | UNION
|
|---|
| 3031 |
|
|---|
| 3032 | -- 10. TOP_RATED - prosecen rating >= 4.5
|
|---|
| 3033 | SELECT seller_id, 10, CURRENT_DATE
|
|---|
| 3034 | FROM public.review
|
|---|
| 3035 | GROUP BY seller_id
|
|---|
| 3036 | HAVING AVG(rating) >= 4.5
|
|---|
| 3037 |
|
|---|
| 3038 | UNION
|
|---|
| 3039 |
|
|---|
| 3040 | -- 11. RECOMMENDED - prosecen rating >= 4.0
|
|---|
| 3041 | SELECT seller_id, 11, CURRENT_DATE
|
|---|
| 3042 | FROM public.review
|
|---|
| 3043 | GROUP BY seller_id
|
|---|
| 3044 | HAVING AVG(rating) >= 4.0
|
|---|
| 3045 |
|
|---|
| 3046 | UNION
|
|---|
| 3047 |
|
|---|
| 3048 | -- 12. PREMIUM_SELLER - SILVER ili GOLD paket
|
|---|
| 3049 | SELECT DISTINCT up.seller_id, 12, CURRENT_DATE
|
|---|
| 3050 | FROM public.userpackages up
|
|---|
| 3051 | JOIN public.package p ON p.package_id = up.package_id
|
|---|
| 3052 | WHERE p.name IN ('SILVER', 'GOLD')
|
|---|
| 3053 |
|
|---|
| 3054 | UNION
|
|---|
| 3055 |
|
|---|
| 3056 | -- 13. GOLD_SELLER - GOLD paket
|
|---|
| 3057 | SELECT DISTINCT up.seller_id, 13, CURRENT_DATE
|
|---|
| 3058 | FROM public.userpackages up
|
|---|
| 3059 | JOIN public.package p ON p.package_id = up.package_id
|
|---|
| 3060 | WHERE p.name = 'GOLD';
|
|---|
| 3061 |
|
|---|
| 3062 | -- Провери
|
|---|
| 3063 | SELECT b.name, COUNT(*) AS broj
|
|---|
| 3064 | FROM public.userbadge ub
|
|---|
| 3065 | JOIN public.badge b ON b.badge_id = ub.badge_id
|
|---|
| 3066 | GROUP BY b.name
|
|---|
| 3067 | ORDER BY broj DESC;
|
|---|
| 3068 |
|
|---|
| 3069 |
|
|---|
| 3070 |
|
|---|
| 3071 | -- CONVERSATION
|
|---|
| 3072 |
|
|---|
| 3073 |
|
|---|
| 3074 | INSERT INTO public.conversation (product_id, buyer_id, seller_id, created_at)
|
|---|
| 3075 | SELECT DISTINCT ON (p.product_id, a.user_id, p.seller_id)
|
|---|
| 3076 | p.product_id,
|
|---|
| 3077 | a.user_id AS buyer_id,
|
|---|
| 3078 | p.seller_id,
|
|---|
| 3079 | NOW() - (FLOOR(RANDOM() * 365) || ' days')::INTERVAL AS created_at
|
|---|
| 3080 | FROM public.product p
|
|---|
| 3081 | CROSS JOIN LATERAL (
|
|---|
| 3082 | SELECT user_id
|
|---|
| 3083 | FROM public.appuser
|
|---|
| 3084 | ORDER BY RANDOM()
|
|---|
| 3085 | LIMIT 5
|
|---|
| 3086 | ) a
|
|---|
| 3087 | WHERE p.is_active = 1
|
|---|
| 3088 | AND a.user_id <> p.seller_id
|
|---|
| 3089 | AND RANDOM() < 0.03
|
|---|
| 3090 | ON CONFLICT (product_id, buyer_id, seller_id) DO NOTHING;
|
|---|
| 3091 |
|
|---|
| 3092 |
|
|---|
| 3093 | select count(*) from conversation c
|
|---|
| 3094 |
|
|---|
| 3095 |
|
|---|
| 3096 |
|
|---|
| 3097 |
|
|---|
| 3098 |
|
|---|
| 3099 |
|
|---|
| 3100 | -- MESSAGES
|
|---|
| 3101 |
|
|---|
| 3102 |
|
|---|
| 3103 | INSERT INTO public.message (conversation_id, sender_id, text, send_at, seen)
|
|---|
| 3104 | WITH msg_counts AS (
|
|---|
| 3105 | SELECT
|
|---|
| 3106 | conversation_id,
|
|---|
| 3107 | buyer_id,
|
|---|
| 3108 | seller_id,
|
|---|
| 3109 | created_at,
|
|---|
| 3110 | (FLOOR(RANDOM() * 20) + 1)::int AS num_messages
|
|---|
| 3111 | FROM public.conversation
|
|---|
| 3112 | ),
|
|---|
| 3113 | expanded AS (
|
|---|
| 3114 | SELECT
|
|---|
| 3115 | mc.conversation_id,
|
|---|
| 3116 | mc.buyer_id,
|
|---|
| 3117 | mc.seller_id,
|
|---|
| 3118 | mc.created_at,
|
|---|
| 3119 | gs.n
|
|---|
| 3120 | FROM msg_counts mc
|
|---|
| 3121 | CROSS JOIN generate_series(1, 20) AS gs(n)
|
|---|
| 3122 | WHERE gs.n <= mc.num_messages
|
|---|
| 3123 | ),
|
|---|
| 3124 | with_sender AS (
|
|---|
| 3125 | SELECT
|
|---|
| 3126 | conversation_id,
|
|---|
| 3127 | CASE WHEN RANDOM() < 0.5 THEN buyer_id ELSE seller_id END AS sender_id,
|
|---|
| 3128 | CASE (FLOOR(RANDOM() * 5) + 1)::int
|
|---|
| 3129 | WHEN 1 THEN 'Hi, is this product still available?'
|
|---|
| 3130 | WHEN 2 THEN 'Can you give me more details about this?'
|
|---|
| 3131 | WHEN 3 THEN 'What is the condition of the product?'
|
|---|
| 3132 | WHEN 4 THEN 'Is the price negotiable?'
|
|---|
| 3133 | WHEN 5 THEN 'When can I pick it up?'
|
|---|
| 3134 | END AS text,
|
|---|
| 3135 | created_at + (n * FLOOR(RANDOM() * 60) || ' minutes')::INTERVAL AS send_at,
|
|---|
| 3136 | CASE WHEN RANDOM() < 0.7 THEN 1 ELSE 0 END AS seen
|
|---|
| 3137 | FROM expanded
|
|---|
| 3138 | )
|
|---|
| 3139 | SELECT conversation_id, sender_id, text, send_at, seen
|
|---|
| 3140 | FROM with_sender;
|
|---|
| 3141 |
|
|---|
| 3142 |
|
|---|
| 3143 | SELECT COUNT(*) AS vkupno_poraki FROM public.message;
|
|---|
| 3144 | SELECT MIN(cnt), MAX(cnt), AVG(cnt)::NUMERIC(10,2)
|
|---|
| 3145 | FROM (
|
|---|
| 3146 | SELECT conversation_id, COUNT(*) AS cnt
|
|---|
| 3147 | FROM public.message
|
|---|
| 3148 | GROUP BY conversation_id
|
|---|
| 3149 | ) sub;
|
|---|
| 3150 |
|
|---|
| 3151 |
|
|---|
| 3152 | select count(*) from favorites f
|
|---|
| 3153 | SELECT COUNT(DISTINCT product_id) FROM public.favorites;
|
|---|
| 3154 |
|
|---|
| 3155 |
|
|---|
| 3156 |
|
|---|
| 3157 |
|
|---|
| 3158 | -- FAVORITES
|
|---|
| 3159 |
|
|---|
| 3160 |
|
|---|
| 3161 | INSERT INTO public.favorites (user_id, product_id, created_at)
|
|---|
| 3162 | SELECT DISTINCT ON (u.user_id, p.product_id)
|
|---|
| 3163 | u.user_id,
|
|---|
| 3164 | p.product_id,
|
|---|
| 3165 | NOW() - (RANDOM() * INTERVAL '365 days') AS created_at
|
|---|
| 3166 | FROM generate_series(1, 100000) AS gs(i)
|
|---|
| 3167 | JOIN public.appuser u ON u.user_id = (gs.i % 200000) + 1
|
|---|
| 3168 | JOIN public.product p ON p.product_id = ((gs.i::bigint * 6527) % 1874551) + 1
|
|---|
| 3169 | WHERE p.is_active = 1
|
|---|
| 3170 | ON CONFLICT (user_id, product_id) DO NOTHING;
|
|---|
| 3171 |
|
|---|
| 3172 |
|
|---|
| 3173 | SELECT COUNT(distinct product_id) FROM public.favorites;
|
|---|
| 3174 | SELECT product_id, COUNT(*) AS broj FROM public.favorites
|
|---|
| 3175 | GROUP BY product_id ORDER BY broj DESC LIMIT 10;
|
|---|
| 3176 |
|
|---|
| 3177 |
|
|---|
| 3178 |
|
|---|
| 3179 |
|
|---|
| 3180 |
|
|---|
| 3181 |
|
|---|
| 3182 |
|
|---|
| 3183 |
|
|---|
| 3184 |
|
|---|
| 3185 |
|
|---|
| 3186 | -- USER ADDRESSES
|
|---|
| 3187 |
|
|---|
| 3188 |
|
|---|
| 3189 | TRUNCATE TABLE public.useraddress RESTART identity cascade;
|
|---|
| 3190 |
|
|---|
| 3191 | INSERT INTO public.useraddress (user_id, country, city, street, house_number, is_primary)
|
|---|
| 3192 | WITH user_addr_counts AS (
|
|---|
| 3193 | SELECT
|
|---|
| 3194 | user_id,
|
|---|
| 3195 | (FLOOR(RANDOM() * 4) + 1)::int AS num_addresses
|
|---|
| 3196 | FROM public.appuser
|
|---|
| 3197 | ),
|
|---|
| 3198 | expanded AS (
|
|---|
| 3199 | SELECT u.user_id, gs.n
|
|---|
| 3200 | FROM user_addr_counts u
|
|---|
| 3201 | CROSS JOIN generate_series(1, 4) AS gs(n)
|
|---|
| 3202 | WHERE gs.n <= u.num_addresses
|
|---|
| 3203 | ),
|
|---|
| 3204 | locations(country, city, street) AS (VALUES
|
|---|
| 3205 | ('Macedonia', 'Skopje', 'Partizanska'),
|
|---|
| 3206 | ('Macedonia', 'Skopje', 'Makedonska'),
|
|---|
| 3207 | ('Macedonia', 'Bitola', 'Shirok Sokak'),
|
|---|
| 3208 | ('Macedonia', 'Ohrid', 'Car Samoil'),
|
|---|
| 3209 | ('Macedonia', 'Tetovo', 'Ilindenska'),
|
|---|
| 3210 | ('Macedonia', 'Kumanovo', 'Oktomvriska'),
|
|---|
| 3211 | ('Macedonia', 'Strumica', 'Goce Delcev'),
|
|---|
| 3212 | ('Macedonia', 'Stip', 'Bregalnička'),
|
|---|
| 3213 | ('Macedonia', 'Veles', 'Titova'),
|
|---|
| 3214 | ('Macedonia', 'Gostivar', 'Makedonska'),
|
|---|
| 3215 | ('Serbia', 'Belgrade', 'Knez Mihailova'),
|
|---|
| 3216 | ('Serbia', 'Novi Sad', 'Dunavska'),
|
|---|
| 3217 | ('Serbia', 'Nis', 'Obrenoviceva'),
|
|---|
| 3218 | ('Serbia', 'Kragujevac','Kralja Petra'),
|
|---|
| 3219 | ('Serbia', 'Subotica', 'Korzo'),
|
|---|
| 3220 | ('Serbia', 'Cacak', 'Kralja Aleksandra'),
|
|---|
| 3221 | ('Serbia', 'Uzice', 'Dimitrija Tucovica'),
|
|---|
| 3222 | ('Serbia', 'Zrenjanin', 'Kralja Aleksandra'),
|
|---|
| 3223 | ('Serbia', 'Leskovac', 'Pašićeva'),
|
|---|
| 3224 | ('Serbia', 'Vranje', 'Kralja Milana'),
|
|---|
| 3225 | ('Croatia', 'Zagreb', 'Ilica'),
|
|---|
| 3226 | ('Croatia', 'Split', 'Marmontova'),
|
|---|
| 3227 | ('Croatia', 'Rijeka', 'Korzo'),
|
|---|
| 3228 | ('Croatia', 'Osijek', 'Europska avenija'),
|
|---|
| 3229 | ('Croatia', 'Zadar', 'Siroka ulica'),
|
|---|
| 3230 | ('Croatia', 'Pula', 'Sergijevaca'),
|
|---|
| 3231 | ('Croatia', 'Dubrovnik', 'Stradun'),
|
|---|
| 3232 | ('Croatia', 'Varazdin', 'Franjevacki trg'),
|
|---|
| 3233 | ('Croatia', 'Sibenik', 'Kralja Tomislava'),
|
|---|
| 3234 | ('Croatia', 'Karlovac', 'Radiceva'),
|
|---|
| 3235 | ('Slovenia', 'Ljubljana', 'Mestni trg'),
|
|---|
| 3236 | ('Slovenia', 'Maribor', 'Glavni trg'),
|
|---|
| 3237 | ('Slovenia', 'Celje', 'Stanetova ulica'),
|
|---|
| 3238 | ('Slovenia', 'Kranj', 'Glavna ulica'),
|
|---|
| 3239 | ('Slovenia', 'Koper', 'Kidriceva ulica'),
|
|---|
| 3240 | ('Slovenia', 'Velenje', 'Titov trg'),
|
|---|
| 3241 | ('Slovenia', 'Novo Mesto','Rozmanova ulica'),
|
|---|
| 3242 | ('Slovenia', 'Ptuj', 'Slovenski trg'),
|
|---|
| 3243 | ('Slovenia', 'Murska Sobota','Slovenska ulica'),
|
|---|
| 3244 | ('Slovenia', 'Jesenice', 'Cesta Franceta Preserna'),
|
|---|
| 3245 | ('Bosnia', 'Sarajevo', 'Ferhadija'),
|
|---|
| 3246 | ('Bosnia', 'Banja Luka','Veselina Maslese'),
|
|---|
| 3247 | ('Bosnia', 'Tuzla', 'Zrtava Fasizma'),
|
|---|
| 3248 | ('Bosnia', 'Mostar', 'Brace Fejica'),
|
|---|
| 3249 | ('Bosnia', 'Zenica', 'Masarykova'),
|
|---|
| 3250 | ('Bosnia', 'Bijeljina', 'Kralja Petra'),
|
|---|
| 3251 | ('Bosnia', 'Trebinje', 'Jovan Ducic'),
|
|---|
| 3252 | ('Bosnia', 'Travnik', 'Vezirska'),
|
|---|
| 3253 | ('Bosnia', 'Bihac', 'Bosanska'),
|
|---|
| 3254 | ('Bosnia', 'Prijedor', 'Kralja Aleksandra'),
|
|---|
| 3255 | ('Germany', 'Berlin', 'Unter den Linden'),
|
|---|
| 3256 | ('Germany', 'Munich', 'Maximilianstrasse'),
|
|---|
| 3257 | ('Germany', 'Hamburg', 'Reeperbahn'),
|
|---|
| 3258 | ('Germany', 'Frankfurt', 'Zeil'),
|
|---|
| 3259 | ('Germany', 'Cologne', 'Schildergasse'),
|
|---|
| 3260 | ('Germany', 'Stuttgart', 'Konigstrasse'),
|
|---|
| 3261 | ('Germany', 'Dusseldorf','Konigsallee'),
|
|---|
| 3262 | ('Germany', 'Leipzig', 'Grimmaische Strasse'),
|
|---|
| 3263 | ('Germany', 'Dresden', 'Prager Strasse'),
|
|---|
| 3264 | ('Germany', 'Nuremberg', 'Karolinenstrasse'),
|
|---|
| 3265 | ('Austria', 'Vienna', 'Kartner Strasse'),
|
|---|
| 3266 | ('Austria', 'Graz', 'Herrengasse'),
|
|---|
| 3267 | ('Austria', 'Linz', 'Landstrasse'),
|
|---|
| 3268 | ('Austria', 'Salzburg', 'Getreidegasse'),
|
|---|
| 3269 | ('Austria', 'Innsbruck', 'Maria-Theresien-Strasse'),
|
|---|
| 3270 | ('Austria', 'Klagenfurt','Alter Platz'),
|
|---|
| 3271 | ('Austria', 'Villach', 'Hauptplatz'),
|
|---|
| 3272 | ('Austria', 'Wels', 'Stadtplatz'),
|
|---|
| 3273 | ('Austria', 'St. Polten','Herrenplatz'),
|
|---|
| 3274 | ('Austria', 'Bregenz', 'Kaiserstrasse'),
|
|---|
| 3275 | ('Hungary', 'Budapest', 'Andrassy ut'),
|
|---|
| 3276 | ('Hungary', 'Debrecen', 'Piac utca'),
|
|---|
| 3277 | ('Hungary', 'Miskolc', 'Szechenyi utca'),
|
|---|
| 3278 | ('Hungary', 'Pecs', 'Kiraly utca'),
|
|---|
| 3279 | ('Hungary', 'Gyor', 'Baross Gabor ut'),
|
|---|
| 3280 | ('Hungary', 'Nyiregyhaza','Doza Gyorgy ut'),
|
|---|
| 3281 | ('Hungary', 'Kecskemet', 'Kossuth ter'),
|
|---|
| 3282 | ('Hungary', 'Szekesfehervar','Fo utca'),
|
|---|
| 3283 | ('Hungary', 'Eger', 'Kossuth Lajos utca'),
|
|---|
| 3284 | ('Hungary', 'Sopron', 'Fo ter'),
|
|---|
| 3285 | ('Greece', 'Athens', 'Ermou'),
|
|---|
| 3286 | ('Greece', 'Thessaloniki','Tsimiski'),
|
|---|
| 3287 | ('Greece', 'Patras', 'Korinthou'),
|
|---|
| 3288 | ('Greece', 'Heraklion', 'Daidalou'),
|
|---|
| 3289 | ('Greece', 'Larissa', '25is Martiou'),
|
|---|
| 3290 | ('Greece', 'Volos', 'Dimitriados'),
|
|---|
| 3291 | ('Greece', 'Rhodes', 'Orfeos'),
|
|---|
| 3292 | ('Greece', 'Ioannina', 'Averof'),
|
|---|
| 3293 | ('Greece', 'Kavala', 'Omonia'),
|
|---|
| 3294 | ('Greece', 'Serres', 'Merkouriou'),
|
|---|
| 3295 | ('Turkey', 'Istanbul', 'Istiklal Caddesi'),
|
|---|
| 3296 | ('Turkey', 'Ankara', 'Ataturk Bulvari'),
|
|---|
| 3297 | ('Turkey', 'Izmir', 'Kordon'),
|
|---|
| 3298 | ('Turkey', 'Bursa', 'Ataturk Caddesi'),
|
|---|
| 3299 | ('Turkey', 'Antalya', 'Cumhuriyet Caddesi'),
|
|---|
| 3300 | ('Turkey', 'Adana', 'Turhan Cemal Beriker'),
|
|---|
| 3301 | ('Turkey', 'Gaziantep', 'Suburcu Caddesi'),
|
|---|
| 3302 | ('Turkey', 'Konya', 'Mevlana Caddesi'),
|
|---|
| 3303 | ('Turkey', 'Kayseri', 'Sivas Caddesi'),
|
|---|
| 3304 | ('Turkey', 'Mersin', 'Istiklal Caddesi')
|
|---|
| 3305 | ),
|
|---|
| 3306 | numbered AS (
|
|---|
| 3307 | SELECT *, ROW_NUMBER() OVER () AS rn, COUNT(*) OVER () AS total
|
|---|
| 3308 | FROM locations
|
|---|
| 3309 | )
|
|---|
| 3310 | SELECT
|
|---|
| 3311 | e.user_id,
|
|---|
| 3312 | n.country,
|
|---|
| 3313 | n.city,
|
|---|
| 3314 | n.street,
|
|---|
| 3315 | (FLOOR(RANDOM() * 200) + 1)::int AS house_number,
|
|---|
| 3316 | CASE WHEN e.n = 1 THEN 1 ELSE 0 END AS is_primary
|
|---|
| 3317 | FROM expanded e
|
|---|
| 3318 | JOIN numbered n ON n.rn = ((e.user_id * 7 + e.n * 13) % 100) + 1;
|
|---|
| 3319 |
|
|---|
| 3320 | -- Провери
|
|---|
| 3321 | SELECT COUNT(*) FROM public.useraddress;
|
|---|
| 3322 | SELECT country, COUNT(*) AS broj FROM public.useraddress GROUP BY country ORDER BY broj DESC;
|
|---|
| 3323 |
|
|---|
| 3324 |
|
|---|
| 3325 |
|
|---|
| 3326 | SELECT COUNT(*) AS problem_users
|
|---|
| 3327 | FROM (
|
|---|
| 3328 | SELECT user_id
|
|---|
| 3329 | FROM public.useraddress
|
|---|
| 3330 | WHERE is_primary = 1
|
|---|
| 3331 | GROUP BY user_id
|
|---|
| 3332 | HAVING COUNT(*) != 1
|
|---|
| 3333 | ) sub;
|
|---|
| 3334 |
|
|---|
| 3335 | -- SHIPMENT
|
|---|
| 3336 |
|
|---|
| 3337 | ALTER SEQUENCE shipment_shipment_id_seq RESTART WITH 1;
|
|---|
| 3338 |
|
|---|
| 3339 |
|
|---|
| 3340 |
|
|---|
| 3341 | INSERT INTO public.shipment (order_id, carrier_id, user_address_id, tracking_number, status, delivery_method, estimated_delivery_date, actual_delivery_date, created_at, updated_at)
|
|---|
| 3342 | SELECT
|
|---|
| 3343 | o.order_id,
|
|---|
| 3344 | (FLOOR(RANDOM() * 30) + 1)::int AS carrier_id,
|
|---|
| 3345 | ua.user_address_id,
|
|---|
| 3346 | -- Уникатен tracking number
|
|---|
| 3347 | UPPER(SUBSTRING(MD5(o.order_id::text || RANDOM()::text), 1, 16)) AS tracking_number,
|
|---|
| 3348 | CASE o.status
|
|---|
| 3349 | WHEN 'PENDING' THEN 'PROCESSING'
|
|---|
| 3350 | WHEN 'CONFIRMED' THEN 'PROCESSING'
|
|---|
| 3351 | WHEN 'SHIPPED' THEN 'TRANSIT'
|
|---|
| 3352 | WHEN 'DELIVERED' THEN 'DELIVERED'
|
|---|
| 3353 | WHEN 'CANCELLED' THEN 'PROCESSING'
|
|---|
| 3354 | END::varchar AS status,
|
|---|
| 3355 | CASE WHEN RANDOM() < 0.7 THEN 'STANDARD' ELSE 'EXPRESS' END AS delivery_method,
|
|---|
| 3356 | -- estimated: 3-7 дена по order
|
|---|
| 3357 | (o.created_at + (FLOOR(RANDOM() * 5) + 3 || ' days')::INTERVAL)::date AS estimated_delivery_date,
|
|---|
| 3358 | -- actual: само за DELIVERED
|
|---|
| 3359 | CASE WHEN o.status = 'DELIVERED'
|
|---|
| 3360 | THEN (o.created_at + (FLOOR(RANDOM() * 7) + 3 || ' days')::INTERVAL)::date
|
|---|
| 3361 | ELSE NULL
|
|---|
| 3362 | END AS actual_delivery_date,
|
|---|
| 3363 | o.created_at AS created_at,
|
|---|
| 3364 | o.created_at + (FLOOR(RANDOM() * 3) || ' days')::INTERVAL AS updated_at
|
|---|
| 3365 | FROM public."order" o
|
|---|
| 3366 | JOIN public.useraddress ua ON ua.user_id = o.buyer_id AND ua.is_primary = 1;
|
|---|
| 3367 |
|
|---|
| 3368 |
|
|---|
| 3369 |
|
|---|
| 3370 | SELECT COUNT(*) AS vkupno_shipments FROM public.shipment;
|
|---|
| 3371 | SELECT status, COUNT(*) AS broj FROM public.shipment GROUP BY status ORDER BY broj DESC;
|
|---|
| 3372 | SELECT delivery_method, COUNT(*) AS broj FROM public.shipment GROUP BY delivery_method;
|
|---|
| 3373 |
|
|---|
| 3374 |
|
|---|
| 3375 | UPDATE public.shipment s
|
|---|
| 3376 | SET status = CASE o.status
|
|---|
| 3377 | WHEN 'DELIVERED' THEN 'DELIVERED'
|
|---|
| 3378 | WHEN 'SHIPPED' THEN 'TRANSIT'
|
|---|
| 3379 | ELSE 'PROCESSING'
|
|---|
| 3380 | END
|
|---|
| 3381 | FROM public."order" o
|
|---|
| 3382 | WHERE s.order_id = o.order_id;
|
|---|
| 3383 |
|
|---|
| 3384 |
|
|---|
| 3385 | SELECT status, COUNT(*) FROM public."order" GROUP BY status;
|
|---|
| 3386 |
|
|---|
| 3387 |
|
|---|
| 3388 |
|
|---|
| 3389 |
|
|---|
| 3390 |
|
|---|
| 3391 | UPDATE public.shipment
|
|---|
| 3392 | SET status = 'DELIVERED',
|
|---|
| 3393 | actual_delivery_date = (created_at + (FLOOR(RANDOM() * 7) + 3 || ' days')::INTERVAL)::date
|
|---|
| 3394 | WHERE shipment_id IN (
|
|---|
| 3395 | SELECT shipment_id FROM public.shipment ORDER BY RANDOM() LIMIT 80000
|
|---|
| 3396 | );
|
|---|
| 3397 |
|
|---|
| 3398 |
|
|---|
| 3399 |
|
|---|