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insert.sql
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insert.sql
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insert into data.description (id, price, name, image , material, width, weigth, height) values (1, 86844.06, 'Monument(1)', 'http://dummyimage.com/195x100.png/ff4444/ffffff', 'Granite', 283.09, 89.95, 143.37);
insert into data.description (id, price, name, image , material, width, weigth, height) values (2, 59125.27, 'Monument(2)', 'http://dummyimage.com/209x100.png/cc0000/ffffff', 'Stone', 78.85, 97.39, 56.31);
insert into data.description (id, price, name, image , material, width, weigth, height) values (3, 44339.42, 'Monument(3)', 'http://dummyimage.com/239x100.png/dddddd/000000', 'Granite', 240.98, 42.92, 47.3);
insert into data.description (id, price, name, image , material, width, weigth, height) values (4, 10986.95, 'Monument(4)', 'http://dummyimage.com/240x100.png/cc0000/ffffff', 'Limestone', 93.81, 142.55, 60.64);
insert into data.description (id, price, name, image , material, width, weigth, height) values (5, 93800.43, 'Monument(5)', 'http://dummyimage.com/219x100.png/cc0000/ffffff', 'Granite', 89.17, 161.12, 125.53);
insert into data.description (id, price, name, image , material, width, weigth, height) values (6, 44727.42, 'Monument(6)', 'http://dummyimage.com/160x100.png/5fa2dd/ffffff', 'Sandstone', 134.09, 108.71, 74.75);
insert into data.description (id, price, name, image , material, width, weigth, height) values (7, 69238.59, 'Monument(7)', 'http://dummyimage.com/201x100.png/ff4444/ffffff', 'Onyx', 241.66, 34.59, 89.94);
insert into data.description (id, price, name, image , material, width, weigth, height) values (8, 50384.02, 'Monument(8)', 'http://dummyimage.com/236x100.png/cc0000/ffffff', 'Marble', 153.67, 179.13, 95.05);
insert into data.description (id, price, name, image , material, width, weigth, height) values (9, 30399.89, 'Monument(9)', 'http://dummyimage.com/224x100.png/dddddd/000000', 'Marble', 129.51, 95.0, 92.92);
insert into data.description (id, price, name, image , material, width, weigth, height) values (10, 16226.34, 'Monument(10)', 'http://dummyimage.com/211x100.png/ff4444/ffffff', 'Marble', 136.75, 149.3, 60.27);
insert into data.description (id, price, name, image , material, width, weigth, height) values (11, 78468.58, 'Monument(11)', 'http://dummyimage.com/195x100.png/5fa2dd/ffffff', 'Brass', 259.01, 47.33, 89.35);
insert into data.description (id, price, name, image , material, width, weigth, height) values (12, 73549.89, 'Monument(12)', 'http://dummyimage.com/240x100.png/dddddd/000000', 'Slate', 143.65, 176.67, 101.7);
insert into data.description (id, price, name, image , material, width, weigth, height) values (13, 8704.01, 'Monument(13)', 'http://dummyimage.com/131x100.png/ff4444/ffffff', 'Bronze', 60.91, 172.3, 118.56);
insert into data.description (id, price, name, image , material, width, weigth, height) values (14, 76796.27, 'Monumet(14)', 'http://dummyimage.com/231x100.png/ff4444/ffffff', 'Granite', 227.38, 179.38, 46.81);
insert into data.description (id, price, name, image , material, width, weigth, height) values (15, 47129.91, 'Monument(15)', 'http://dummyimage.com/247x100.png/5fa2dd/ffffff', 'Granite', 282.54, 183.91, 115.34);
insert into data.description (id, price, name, image , material, width, weigth, height) values (16, 54963.51, 'Monument(16)', 'http://dummyimage.com/138x100.png/cc0000/ffffff', 'Stone', 265.45, 136.29, 68.0);
insert into data.description (id, price, name, image , material, width, weigth, height) values (17, 17664.46, 'Monument(17)', 'http://dummyimage.com/246x100.png/dddddd/000000', 'Onyx', 205.24, 120.5, 132.97);
insert into data.description (id, price, name, image , material, width, weigth, height) values (18, 91462.65, 'Monument(18)', 'http://dummyimage.com/154x100.png/5fa2dd/ffffff', 'Marble', 54.7, 141.11, 84.8);
insert into data.description (id, price, name, image , material, width, weigth, height) values (19, 11196.98, 'Monument(19)', 'http://dummyimage.com/100x100.png/5fa2dd/ffffff', 'Bronze', 204.6, 157.03, 72.53);
insert into data.description (id, price, name, image , material, width, weigth, height) values (20, 15747.34, 'Monument(20)', 'http://dummyimage.com/192x100.png/dddddd/000000', 'Granite', 259.77, 89.5, 93.95);
insert into data.description (id, price, name, image , material, width, weigth, height) values (21, 92204.27, 'Monument(21)', 'http://dummyimage.com/191x100.png/cc0000/ffffff', 'Granite', 115.31, 33.78, 67.3);
insert into data.description (id, price, name, image , material, width, weigth, height) values (22, 69781.58, 'Monument(22)', 'http://dummyimage.com/135x100.png/dddddd/000000', 'Stone', 258.1, 26.16, 138.12);
insert into data.description (id, price, name, image , material, width, weigth, height) values (23, 82217.89, 'Monument(23)', 'http://dummyimage.com/183x100.png/ff4444/ffffff', 'Granite', 128.1, 198.33, 45.81);
insert into data.description (id, price, name, image , material, width, weigth, height) values (24, 59800.67, 'Monument(24)', 'http://dummyimage.com/135x100.png/ff4444/ffffff', 'Granite', 60.95, 52.62, 119.69);
insert into data.description (id, price, name, image , material, width, weigth, height) values (25, 53092.16, 'Monument(25)', 'http://dummyimage.com/223x100.png/ff4444/ffffff', 'Granite', 104.54, 104.64, 68.88);
insert into data.description (id, price, name, image , material, width, weigth, height) values (26, 4067.71, 'Monument(26)', 'http://dummyimage.com/128x100.png/ff4444/ffffff', 'Stone', 101.95, 47.69, 103.7);
insert into data.description (id, price, name, image , material, width, weigth, height) values (27, 98518.95, 'Monument(27)', 'http://dummyimage.com/180x100.png/5fa2dd/ffffff', 'Granite', 68.12, 78.42, 79.86);
insert into data.description (id, price, name, image , material, width, weigth, height) values (28, 22809.79, 'Monument(28)', 'http://dummyimage.com/174x100.png/ff4444/ffffff', 'Granite', 159.2, 126.96, 121.12);
insert into data.description (id, price, name, image , material, width, weigth, height) values (29, 19658.66, 'Monument(29)', 'http://dummyimage.com/163x100.png/ff4444/ffffff', 'Onyx', 202.5, 143.27, 93.23);
insert into data.description (id, price, name, image , material, width, weigth, height) values (30, 30170.58, 'Monument(30)', 'http://dummyimage.com/149x100.png/cc0000/ffffff', 'Bronze', 295.43, 26.5, 94.61);
insert into data.description (id, price, name, image , material, width, weigth, height) values (31, 12170.58, 'Pedestal(1)', 'http://dummyimage.com/149x100.png/cc0000/ffffff', 'Bronze', 78.43, 26.5, 20.61);
insert into data.description (id, price, name, image , material, width, weigth, height) values (32, 11170.58, 'Pedestal(2)', 'http://dummyimage.com/149x100.png/cc0000/ffffff', 'Granite', 195.43, 23.5, 15.61);
insert into data.description (id, price, name, image , material, width, weigth, height) values (33, 10170.58, 'Pedestal(3)', 'http://dummyimage.com/149x100.png/cc0000/ffffff', 'Granite', 105.43, 29.5, 19.61);
insert into data.description (id, price, name, image , material, width, weigth, height) values (34, 9170.58, 'Pedestal(4)', 'http://dummyimage.com/149x100.png/cc0000/ffffff', 'Onyx', 100.43, 40.5, 15.61);
insert into data.description (id, price, name, image , material, width, weigth, height) values (35, 10948.3, 'Pedestal(5)', 'http://dummyimage.com/242x100.png/cc0000/ffffff', 'Granite', 58.43, 28.85, 3.15);
insert into data.description (id, price, name, image , material, width, weigth, height) values (36, 6182.32, 'Plinth(1)', 'http://dummyimage.com/184x100.png/ff4444/ffffff', 'Granite', 97.11, 21.07, 10.86);
insert into data.description (id, price, name, image , material, width, weigth, height) values (37, 3317.74, 'Column(1)', 'http://dummyimage.com/103x100.png/cc0000/ffffff', 'Granite', 55.8, 29.44, 10.79);
insert into data.description (id, price, name, image , material, width, weigth, height) values (38, 7125.34, 'Column(2)', 'http://dummyimage.com/246x100.png/ff4444/ffffff', 'Granite', 67.87, 20.81, 25.95);
insert into data.description (id, price, name, image , material, width, weigth, height) values (39, 14477.28, 'Pedestal(6)', 'http://dummyimage.com/172x100.png/cc0000/ffffff', 'Granite', 93.0, 29.84, 29.37);
insert into data.description (id, price, name, image , material, width, weigth, height) values (40, 6918.96, 'Plinth(2)', 'http://dummyimage.com/194x100.png/ff4444/ffffff', 'Granite', 63.15, 27.61, 13.41);
insert into data.description (id, price, name, image , material, width, weigth, height) values (41, 14362.95, 'Column(3)', 'http://dummyimage.com/168x100.png/cc0000/ffffff', 'Granite', 69.22, 25.83, 10.82);
insert into data.description (id, price, name, image , material, width, weigth, height) values (42, 12960.67, 'Pedestal(7)', 'http://dummyimage.com/206x100.png/cc0000/ffffff', 'Granite', 76.73, 22.53, 18.43);
insert into data.description (id, price, name, image , material, width, weigth, height) values (43, 2899.06, 'Column(4)', 'http://dummyimage.com/129x100.png/ff4444/ffffff', 'Granite', 78.04, 24.14, 34.11);
insert into data.description (id, price, name, image , material, width, weigth, height) values (44, 8339.49, 'Pedestal(8)', 'http://dummyimage.com/109x100.png/5fa2dd/ffffff', 'Granite', 67.42, 20.86, 22.08);
insert into data.description (id, price, name, image , material, width, weigth, height) values (45, 10482.2, 'Column(5)', 'http://dummyimage.com/131x100.png/5fa2dd/ffffff', 'Onyx', 64.87, 28.92, 18.21);
insert into data.description (id, price, name, image , material, width, weigth, height) values (46, 7213.32, 'Plinth(3)', 'http://dummyimage.com/201x100.png/cc0000/ffffff', 'Onyx', 80.36, 27.11, 18.17);
insert into data.description (id, price, name, image , material, width, weigth, height) values (47, 7618.18, 'Plinth(4)', 'http://dummyimage.com/132x100.png/cc0000/ffffff', 'Onyx', 54.52, 27.26, 30.59);
insert into data.description (id, price, name, image , material, width, weigth, height) values (48, 14907.13, 'Pedestal(9)', 'http://dummyimage.com/151x100.png/dddddd/000000', 'Onyx', 50.93, 23.99, 9.62);
insert into data.description (id, price, name, image , material, width, weigth, height) values (49, 15846.44, 'Pedestal(10)', 'http://dummyimage.com/172x100.png/5fa2dd/ffffff', 'Onyx', 60.07, 22.0, 32.19);
insert into data.description (id, price, name, image , material, width, weigth, height) values (50, 2746.49, 'Pedestal(11)', 'http://dummyimage.com/190x100.png/cc0000/ffffff', 'Granite', 91.0, 23.6, 5.41);
insert into data.description (id, price, name, image , material, width, weigth, height) values (60, 15938.48, 'Pedestal(12)', 'http://dummyimage.com/109x100.png/dddddd/000000', 'Aluminum', 82.11, 21.82, 26.26);
insert into data.description (id, price, name, image , material, width, weigth, height) values (61, 12236.88, 'Pedestal(13)', 'http://dummyimage.com/214x100.png/ff4444/ffffff', 'Stone', 55.88, 25.43, 25.11);
insert into data.description (id, price, name, image , material, width, weigth, height) values (62, 18384.87, 'Pedestal(14)', 'http://dummyimage.com/166x100.png/cc0000/ffffff', 'Onyx', 58.23, 27.42, 12.13);
insert into data.description (id, price, name, image , material, width, weigth, height) values (63, 9948.67, 'Plinth(5)', 'http://dummyimage.com/241x100.png/cc0000/ffffff', 'Bronze', 73.71, 29.62, 3.28);
insert into data.description (id, price, name, image , material, width, weigth, height) values (64, 6039.66, 'Column(6)', 'http://dummyimage.com/161x100.png/5fa2dd/ffffff', 'Brass', 92.55, 21.46, 8.63);
insert into data.description (id, price, name, image , material, width, weigth, height) values (67, 9487.88, 'Plinth(6)', 'http://dummyimage.com/103x100.png/5fa2dd/ffffff', 'Bronze', 99.14, 22.21, 10.79);
insert into data.description (id, price, name, image , material, width, weigth, height) values (68, 6810.54, 'Column(7)', 'http://dummyimage.com/198x100.png/5fa2dd/ffffff', 'Bronze', 93.95, 23.96, 31.82);
insert into data.description (id, price, name, image , material, width, weigth, height) values (69, 10651.67, 'Plinth(7)', 'http://dummyimage.com/189x100.png/ff4444/ffffff', 'Stone', 75.34, 22.06, 23.11);
insert into data.description (id, price, name, image , material, width, weigth, height) values (70, 10343.43, 'Plinth(8)', 'http://dummyimage.com/102x100.png/5fa2dd/ffffff', 'Bronze', 76.07, 23.25, 31.87);
insert into data.description (id, price, name, image , material, width, weigth, height) values (71, 13875.12, 'Plinth(9)', 'http://dummyimage.com/222x100.png/dddddd/000000', 'Granite', 77.26, 26.88, 16.25);
insert into data.description (id, price, name, image , material, width, weigth, height) values (72, 8398.58, 'Column(8)', 'http://dummyimage.com/146x100.png/5fa2dd/ffffff', 'Stone', 76.77, 23.27, 23.05);
insert into data.description (id, price, name, image , material, width, weigth, height) values (73, 6953.29, 'Column(9)', 'http://dummyimage.com/240x100.png/dddddd/000000', 'Granite', 84.76, 25.85, 37.06);
insert into data.description (id, price, name, image , material, width, weigth, height) values (74, 8411.61, 'Column(10)', 'http://dummyimage.com/114x100.png/dddddd/000000', 'Bronze', 89.93, 24.1, 23.06);
insert into data.description (id, price, name, image , material, width, weigth, height) values (75, 4217.26, 'Column(11)',
'http://dummyimage.com/220x100.png/dddddd/000000', 'Bronze', 87.77, 28.7, 7.66);
insert into data.extra_article (id, description_id) values (1,31);
insert into data.extra_article (id, description_id) values (2,32);
insert into data.extra_article (id, description_id) values (3,33);
insert into data.extra_article (id, description_id) values (4,34);
insert into data.extra_article (id, description_id) values (5,35);
insert into data.extra_article (id, description_id) values (6,36);
insert into data.extra_article (id, description_id) values (7,37);
insert into data.extra_article (id, description_id) values (8,38);
insert into data.extra_article (id, description_id) values (9,39);
insert into data.extra_article (id, description_id) values (10,40);
insert into data.extra_article (id, description_id) values (11,41);
insert into data.extra_article (id, description_id) values (12,42);
insert into data.extra_article (id, description_id) values (13,43);
insert into data.extra_article (id, description_id) values (14,44);
insert into data.extra_article (id, description_id) values (15,45);
insert into data.extra_article (id, description_id) values (16,46);
insert into data.extra_article (id, description_id) values (17,47);
insert into data.extra_article (id, description_id) values (18,48);
insert into data.extra_article (id, description_id) values (19,49);
insert into data.extra_article (id, description_id) values (20,50);
insert into data.extra_article (id, description_id) values (21,60);
insert into data.extra_article (id, description_id) values (22,61);
insert into data.extra_article (id, description_id) values (23,62);
insert into data.extra_article (id, description_id) values (24,63);
insert into data.extra_article (id, description_id) values (25,64);
insert into data.extra_article (id, description_id) values (26,67);
insert into data.extra_article (id, description_id) values (27,68);
insert into data.extra_article (id, description_id) values (28,69);
insert into data.extra_article (id, description_id) values (29,70);
insert into data.extra_article (id, description_id) values (30,71);
insert into data.extra_article (id, description_id) values (31,72);
insert into data.extra_article (id, description_id) values (32,73);
insert into data.extra_article (id, description_id) values (33,74);
insert into data.extra_article (id, description_id) values (34,75);
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (1, 'Eloise Dunne', '[email protected]', '872-471-7353');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (2, 'Tristam Terris', '[email protected]', '707-486-5446');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (3, 'Worthington Yitshak', '[email protected]', '521-747-4770');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (4, 'Mordy Erdely', '[email protected]', '338-490-0781');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (5, 'Lonni Ivanyutin', '[email protected]', '650-494-0053');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (6, 'Dorthea Baford', '[email protected]', '772-129-3242');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (7, 'Adelbert Hurley', '[email protected]', '990-532-7451');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (8, 'Ulrick Walsh', '[email protected]', '328-983-7332');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (9, 'Gregoor Beeho', '[email protected]', '432-962-4386');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (10, 'Clyde Ruger', '[email protected]', '428-829-3462');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (11, 'Greta Alvares', '[email protected]', '251-364-2895');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (12, 'Erminia Armatage', '[email protected]', '502-785-7038');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (13, 'Niel Shobbrook', '[email protected]', '354-439-4530');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (14, 'Sybilla Huxtable', '[email protected]', '653-378-2370');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (15, 'Rollo Swinfon', '[email protected]', '601-811-7909');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (16, 'Jany Vollam', '[email protected]', '931-721-4523');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (17, 'Nadiya Proughten', '[email protected]', '333-689-6422');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (18, 'Lars Hilary', '[email protected]', '553-247-6533');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (19, 'Josepha Brushneen', '[email protected]', '892-656-1672');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (20, 'George Guillard', '[email protected]', '498-829-6386');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (21, 'Mitchel Savins', '[email protected]', '328-987-5616');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (22, 'Bentley Walding', '[email protected]', '708-277-1548');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (23, 'Aurelea Guilford', '[email protected]', '969-753-2831');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (24, 'Margit Benkin', '[email protected]', '148-734-0225');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (25, 'Salomi Novotni', '[email protected]', '840-217-7997');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (26, 'Shandy Sutlieff', '[email protected]', '620-699-1625');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (27, 'Cello Goncaves', '[email protected]', '402-797-7638');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (28, 'Joella Kondratowicz', '[email protected]', '210-379-1910');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (29, 'Barri Kemish', '[email protected]', '914-937-6879');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES (30, 'Tommie Glenwright', '[email protected]', '537-945-5730');
insert into data.service (id, name, description) values (1, 'Tombstone design', 'Designing personalized tombstones according to the clients preferences, including the shape, material, inscriptions, ornaments, etc.');
insert into data.service (id, name, description) values (2, 'Custom tombstone production', 'Creating custom-made tombstones');
insert into data.service (id, name, description) values (3, 'Preservation of tombstones', 'Preservation of existing tombstones');
insert into data.service (id, name, description) values (4, 'Consultation and support', 'We can provide guidance and support to clients in choosing the right tombstone, materials, designs, etc.');
insert into data.service (id, name, description) values (5, 'Restoration', 'Restoration and preservation of existing tombstonedata.');
insert into data.service (id, name, description) values (6, 'Transportation and installation', 'We can can take care of transporting tombstones to the burial site and professionally installing them.');
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (1, 'Anderson', '32277', 'Jacksonville', 'United States', 31, 10);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (2, 'Jackson', '5009', 'Anilao', 'Philippines', 65, 86);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (3, 'Anzinger', '4429', 'Ymittos', 'Greece', 40, 4);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (4, 'Redwing', '6954', 'Warnes', 'Bolivia', 99, 28);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (5, 'Sundown', '7750', 'Domingos', 'Portugal', 6, 16);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (6, 'Gina', '30342', 'Uvarovka', 'Russia', 65, 63);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (7, 'Sullivan', '518-5', 'Rumoi', 'Japan', 91, 51);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (8, 'Comanche', '88628', 'Kota Kinabalu', 'Malaysia', 35, 28);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (9, 'Alpine', '3025', 'Halmstad', 'Sweden', 5, 107);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (10, 'Union', '2621', 'Guinsadan', 'Philippines', 86, 19);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (11, 'Rowland', '3632', 'Dianya', 'China', 32, 59);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (12, 'Spohn', '14461', 'Vishnyakovskiye Dachi', 'Russia', 98, 37);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (13, 'Everett', '6284', 'Rikitea', 'French Polynesia', 85, 139);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (14, 'Brickson Park', '32842', 'Sumberpinang Satu', 'Indonesia', 94, 9);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (15, 'Tennyson', '45872', 'Vondrozo', 'Madagascar', 6, 119);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (16, 'Vidon', '10953', 'Chakari', 'Zimbabwe', 2, 96);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (17, 'Village Green', '47-451', 'Borucin', 'Poland', 4, 11);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (18, 'South', '28345', 'Hadakewa', 'Indonesia', 66, 153);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (19, 'Carpenter', '3445', 'Zhaocun', 'China', 82, 166);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (20, 'Messerschmidt', '5234', 'Xinjian', 'China', 68, 108);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (21, 'Oak Valley', '73354', 'Shahrud', 'Iran', 23, 18);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (22, 'Del Sol', '496320', 'Cortinhas', 'Portugal', 36, 26);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (23, 'Warrior', '17860', 'Pacaembu', 'Brazil', 24, 170);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (24, 'Doe Crossing', '7345', 'Lebak', 'Indonesia', 95, 105);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (25, 'Vidon', '8673', 'Chahannao', 'China', 81, 25);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (26, 'Rowland', '03854', 'Pacaraos', 'Peru', 64, 86);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (27, 'Shoshone', '6384', 'Curepipe', 'Mauritius', 6, 87);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (28, 'Debs', '82743', 'Gbawe', 'Ghana', 50, 95);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (29, 'Rieder', '7621', 'PГ©cs', 'Hungary', 3, 53);
insert into data.address (id, street, postcode, city, region, building_number, apartment_number) values (30, 'Golf', '2937', 'Sonzacate', 'El Salvador', 69, 167);
insert into data.payment_method (id, name) values (1, 'Card');
insert into data.payment_method (id, name) values (2, 'Cash');
insert into data.payment_method (id, name) values (3, 'Transfer');
insert into data.category (id, category_name) values (1, 'Single');
insert into data.category (id, category_name) values (2, 'Double');
insert into data.category (id, category_name) values (3, 'Children');
insert into data.category (id, category_name) values (4, 'Family');
INSERT INTO data.personal_data (id, full_name, email, phone_number) VALUES
(31, 'Isadora Larkham', '[email protected]', '632-862-1163'),
(32, 'Hobey Brislane', '[email protected]', '442-924-7279'),
(33, 'Valaria Riguard', '[email protected]', '978-238-8041'),
(34, 'Loy Hurdman', '[email protected]', '564-989-3154'),
(35, 'Miran Mole', '[email protected]', '103-687-9375'),
(36, 'Adolf Pykerman', '[email protected]', '261-238-2767'),
(37, 'Yardley Cock', '[email protected]', '890-811-5478'),
(38, 'Otha Wasmuth', '[email protected]', '689-523-2299'),
(39, 'Blythe Elgood', '[email protected]', '216-980-5708'),
(40, 'Lilyan Kneebone', '[email protected]', '851-356-4660'),
(41, 'Wes Redpath', '[email protected]', '342-569-9893'),
(42, 'Blancha Denington', '[email protected]', '505-724-3884'),
(43, 'Talyah Tobitt', '[email protected]', '780-167-8221'),
(44, 'Bili Deville', '[email protected]', '407-992-4336'),
(45, 'Isidro Daeuble', '[email protected]', '529-784-2769'),
(46, 'Leonie Hallyburton', '[email protected]', '641-645-5910'),
(47, 'Gualterio Mapp', '[email protected]', '823-830-2643'),
(48, 'Hobart Crawforth', '[email protected]', '968-447-3126'),
(49, 'Lester Seaborne', '[email protected]', '192-477-8765'),
(50, 'Randy Madrell', '[email protected]', '724-421-9691'),
(51, 'Netta McInulty', '[email protected]', '577-938-1992'),
(52, 'Alida Frostdick', '[email protected]', '421-673-2686'),
(53, 'Mariel Blackaller', '[email protected]', '818-671-5263'),
(54, 'Benito Baffin', '[email protected]', '162-950-8834'),
(55, 'Dorothy Gerge', '[email protected]', '476-344-1657'),
(56, 'Eleni Joanic', '[email protected]', '899-225-9310'),
(57, 'Cathie Snedden', '[email protected]', '597-333-4082'),
(58, 'Felicio Quincey', '[email protected]', '842-770-2895'),
(59, 'Benoit Whartonby', '[email protected]', '529-410-5332'),
(60, 'Pris Blodg', '[email protected]', '734-177-2466');
insert into data.customer (id, pesel, personal_data_id) values (1, 98278456737, 1);
insert into data.customer (id, pesel, personal_data_id) values (2, 28415768030, 2);
insert into data.customer (id, pesel, personal_data_id) values (3, 76258933824, 3);
insert into data.customer (id, pesel, personal_data_id) values (4, 83335569656, 4);
insert into data.customer (id, pesel, personal_data_id) values (5, 94718529545, 5);
insert into data.customer (id, pesel, personal_data_id) values (6, 26888401169, 6);
insert into data.customer (id, pesel, personal_data_id) values (7, 28760660712, 7);
insert into data.customer (id, pesel, personal_data_id) values (8, 96453633555, 8);
insert into data.customer (id, pesel, personal_data_id) values (9, 68309516830, 9);
insert into data.customer (id, pesel, personal_data_id) values (10, 45073133963, 10);
insert into data.customer (id, pesel, personal_data_id) values (11, 92606797539, 11);
insert into data.customer (id, pesel, personal_data_id) values (12, 38020309293, 12);
insert into data.customer (id, pesel, personal_data_id) values (13, 28562810338, 13);
insert into data.customer (id, pesel, personal_data_id) values (14, 37725429663, 14);
insert into data.customer (id, pesel, personal_data_id) values (15, 39976025933, 15);
insert into data.customer (id, pesel, personal_data_id) values (16, 54585129994, 16);
insert into data.customer (id, pesel, personal_data_id) values (17, 99596600526, 17);
insert into data.customer (id, pesel, personal_data_id) values (18, 48711606021, 18);
insert into data.customer (id, pesel, personal_data_id) values (19, 25327407588, 19);
insert into data.customer (id, pesel, personal_data_id) values (20, 54966913150, 20);
insert into data.customer (id, pesel, personal_data_id) values (21, 66317433311, 21);
insert into data.customer (id, pesel, personal_data_id) values (22, 98251325453, 22);
insert into data.customer (id, pesel, personal_data_id) values (23, 36363073704, 23);
insert into data.customer (id, pesel, personal_data_id) values (24, 86224866012, 24);
insert into data.customer (id, pesel, personal_data_id) values (25, 19574235709, 25);
insert into data.customer (id, pesel, personal_data_id) values (26, 44554546029, 26);
insert into data.customer (id, pesel, personal_data_id) values (27, 74570076703, 27);
insert into data.customer (id, pesel, personal_data_id) values (28, 68193593610, 28);
insert into data.customer (id, pesel, personal_data_id) values (29, 33824697004, 29);
insert into data.customer (id, pesel, personal_data_id) values (30, 45424710048, 30);
insert into data.supplier (id, contact_person, personal_data_id) values (1, 'Winston Poulglais', 31);
insert into data.supplier (id, contact_person, personal_data_id) values (2, 'Michel Vella', 32);
insert into data.supplier (id, contact_person, personal_data_id) values (3, 'Gunilla Dummett', 33);
insert into data.supplier (id, contact_person, personal_data_id) values (4, 'Reilly Doyley', 34);
insert into data.supplier (id, contact_person, personal_data_id) values (5, 'Danica McGillreich', 35);
insert into data.supplier (id, contact_person, personal_data_id) values (6, 'Nickie Carlozzi', 36);
insert into data.supplier (id, contact_person, personal_data_id) values (7, 'Maris Bewicke', 37);
insert into data.supplier (id, contact_person, personal_data_id) values (8, 'Sibel Imm', 38);
insert into data.supplier (id, contact_person, personal_data_id) values (9, 'Mose Van Schafflaer', 39);
insert into data.supplier (id, contact_person, personal_data_id) values (10, 'Delila Bance', 40);
insert into data.supplier (id, contact_person, personal_data_id) values (11, 'Clive Martignoni', 41);
insert into data.supplier (id, contact_person, personal_data_id) values (12, 'Almeda Cowley', 42);
insert into data.supplier (id, contact_person, personal_data_id) values (13, 'Katharine Vause', 43);
insert into data.supplier (id, contact_person, personal_data_id) values (14, 'Hammad O''Hanley', 44);
insert into data.supplier (id, contact_person, personal_data_id) values (15, 'Pietrek Caukill', 45);
insert into data.supplier (id, contact_person, personal_data_id) values (16, 'Merry Gergolet', 46);
insert into data.supplier (id, contact_person, personal_data_id) values (17, 'Grannie Pietruszka', 47);
insert into data.supplier (id, contact_person, personal_data_id) values (18, 'Deana Buncher', 48);
insert into data.supplier (id, contact_person, personal_data_id) values (19, 'Robb Orridge', 49);
insert into data.supplier (id, contact_person, personal_data_id) values (20, 'Devora Glascott', 50);
insert into data.supplier (id, contact_person, personal_data_id) values (21, 'Augustine Kilbey', 51);
insert into data.supplier (id, contact_person, personal_data_id) values (22, 'Buddy Minter', 52);
insert into data.supplier (id, contact_person, personal_data_id) values (23, 'Raul Chelam', 53);
insert into data.supplier (id, contact_person, personal_data_id) values (24, 'Randi Czyz', 54);
insert into data.supplier (id, contact_person, personal_data_id) values (25, 'Orazio Bumpus', 55);
insert into data.supplier (id, contact_person, personal_data_id) values (26, 'Nell Paske', 56);
insert into data.supplier (id, contact_person, personal_data_id) values (27, 'Lamond Rutley', 57);
insert into data.supplier (id, contact_person, personal_data_id) values (28, 'Sandy Habgood', 58);
insert into data.supplier (id, contact_person, personal_data_id) values (29, 'Ulrika Mocker', 59);
insert into data.supplier (id, contact_person, personal_data_id) values (30, 'Lilia Blazy', 60);
insert into data.monument (id, supplier_id, category_id, description_id) values (1, 1, 4, 1);
insert into data.monument (id, supplier_id, category_id, description_id) values (2, 2, 1, 2);
insert into data.monument (id, supplier_id, category_id, description_id) values (3, 3, 1, 3);
insert into data.monument (id, supplier_id, category_id, description_id) values (4, 4, 4, 4);
insert into data.monument (id, supplier_id, category_id, description_id) values (5, 5, 4, 5);
insert into data.monument (id, supplier_id, category_id, description_id) values (6, 6, 3, 6);
insert into data.monument (id, supplier_id, category_id, description_id) values (7, 7, 4, 7);
insert into data.monument (id, supplier_id, category_id, description_id) values (8, 8, 2, 8);
insert into data.monument (id, supplier_id, category_id, description_id) values (9, 9, 1, 9);
insert into data.monument (id, supplier_id, category_id, description_id) values (10, 10, 1, 10);
insert into data.monument (id, supplier_id, category_id, description_id) values (11, 11, 1, 11);
insert into data.monument (id, supplier_id, category_id, description_id) values (12, 12, 3, 12);
insert into data.monument (id, supplier_id, category_id, description_id) values (13, 13, 3, 13);
insert into data.monument (id, supplier_id, category_id, description_id) values (14, 14, 4, 14);
insert into data.monument (id, supplier_id, category_id, description_id) values (15, 15, 1, 15);
insert into data.monument (id, supplier_id, category_id, description_id) values (16, 16, 3, 16);
insert into data.monument (id, supplier_id, category_id, description_id) values (17, 17, 2, 17);
insert into data.monument (id, supplier_id, category_id, description_id) values (18, 18, 3, 18);
insert into data.monument (id, supplier_id, category_id, description_id) values (19, 19, 3, 19);
insert into data.monument (id, supplier_id, category_id, description_id) values (20, 20, 1, 20);
insert into data.monument (id, supplier_id, category_id, description_id) values (21, 21, 3, 21);
insert into data.monument (id, supplier_id, category_id, description_id) values (22, 22, 2, 22);
insert into data.monument (id, supplier_id, category_id, description_id) values (23, 23, 2, 23);
insert into data.monument (id, supplier_id, category_id, description_id) values (24, 24, 3, 24);
insert into data.monument (id, supplier_id, category_id, description_id) values (25, 25, 4, 25);
insert into data.monument (id, supplier_id, category_id, description_id) values (26, 26, 4, 26);
insert into data.monument (id, supplier_id, category_id, description_id) values (27, 27, 1, 27);
insert into data.monument (id, supplier_id, category_id, description_id) values (28, 28, 3, 28);
insert into data.monument (id, supplier_id, category_id, description_id) values (29, 29, 4, 29);
insert into data.monument (id, supplier_id, category_id, description_id) values (30, 30, 2, 30);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (1, '2022-10-08 19:39:08', 1, 1, 3, 14, 3, 1);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (2, '2022-03-17 22:18:58', 2, 2, 6, 23, 1, 2);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (3, '2020-07-26 15:38:23', 3, 3, 3, 14, 2, 3);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (4, '2020-10-24 23:39:37', 4, 4, 5, 2, 3, 4);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (5, '2022-08-12 12:16:08', 5, 5, 4, 23, 3, 5);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (6, '2020-05-23 06:25:50', 6, 6, 3, 4, 1, 6);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (7, '2022-10-23 22:40:03', 7, 7, 5, 26, 3, 7);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (8, '2022-10-26 07:03:02', 8, 8, 3, 11, 3, 8);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (9, '2021-06-10 12:13:06', 9, 9, 6, 19, 3, 9);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (10, '2022-10-15 22:28:42', 10, 10, 2, 6, 1, 10);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (11, '2021-07-17 13:54:09', 11, 11, 2, 10, 1, 11);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (12, '2020-05-21 00:02:02', 12, 12, 1, 9, 2, 12);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (13, '2021-01-09 23:50:54', 13, 13, 6, 26, 1, 13);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (14, '2021-12-17 16:35:04', 14, 14, 2, 22, 2, 14);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (15, '2022-01-03 10:24:31', 15, 15, 4, 6, 2, 15);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (16, '2020-11-18 13:17:19', 16, 16, 1, 7, 1, 16);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (17, '2023-02-20 22:20:41', 17, 17, 1, 2, 1, 17);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (18, '2022-11-17 17:00:05', 18, 18, 2, 18, 2, 18);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (19, '2021-07-19 12:22:09', 19, 19, 4, 30, 1, 19);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (20, '2022-07-02 07:13:24', 20, 20, 3, 27, 1, 20);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (21, '2020-11-23 21:56:04', 21, 21, 3, 3, 3, 21);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (22, '2023-04-03 08:40:32', 22, 22, 3, 34, 2, 22);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (23, '2021-09-28 16:19:07', 23, 23, 3, 29, 2, 23);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (24, '2022-01-04 12:36:58', 24, 24, 6, 6, 3, 24);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (25, '2020-12-25 06:25:46', 25, 25, 1, 22, 1, 25);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (26, '2023-04-18 01:59:51', 26, 26, 3, 21, 2, 26);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (27, '2022-08-26 23:17:01', 27, 27, 3, 33, 2, 27);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (28, '2023-02-02 08:24:54', 28, 28, 6, 4, 1, 28);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (29, '2022-01-10 13:19:10', 29, 29, 6, 32, 1, 29);
insert into data.order (id, order_date, customer_id, address_id, service_id, extra_articles_id, payment_method_id, total_amount) values (30, '2023-06-05 21:41:08', 30, 30, 6, 23, 3, 30);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (1, 2, 1, 496825, 1, 1);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (2, 1, 2, 382174, 2, 2);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (3, 2, 3, 162750, 3, 3);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (4, 3, 4, 141420, 4, 4);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (5, 5, 5, 73785, 5, 5);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (6, 5, 6, 118847, 6, 6);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (7, 3, 7, 49153, 7, 7);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (8, 2, 8, 180330, 8, 8);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (9, 5, 9, 170342, 9, 9);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (10, 1, 10, 392417, 10, 10);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (11, 3, 11, 382206, 11, 11);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (12, 5, 12, 235593, 12, 12);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (13, 2, 13, 309632, 13, 13);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (14, 3, 14, 437743, 14, 14);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (15, 5, 15, 132861, 15, 15);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (16, 1, 16, 247240, 16, 16);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (17, 2, 17, 495975, 17, 17);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (18, 3, 18, 193630, 18, 18);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (19, 1, 19, 325217, 19, 19);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (20, 2, 20, 160718, 20, 20);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (21, 3, 21, 102149, 21, 21);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (22, 1, 22, 400917, 22, 22);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (23, 1, 23, 417804, 23, 23);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (24, 4, 24, 220255, 24, 24);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (25, 5, 25, 439129, 25, 25);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (26, 3, 26, 311110, 26, 26);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (27, 5, 27, 385900, 27, 27);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (28, 1, 28, 271322, 28, 28);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (29, 2, 29, 205153, 29, 29);
insert into data.order_item (id, quantity, subtotal, unit_price, order_id, monument_id) values (30, 2, 30, 170631, 30, 30);