· 8 years ago · Dec 29, 2017, 03:06 PM
1-- --------------------------------------------------------
2-- Host: 127.0.0.1
3-- Server version: 5.7.14-log - MySQL Community Server (GPL)
4-- Server OS: Win64
5-- HeidiSQL Version: 9.5.0.5196
6-- --------------------------------------------------------
7
8/*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
9/*!40101 SET NAMES utf8 */;
10/*!50503 SET NAMES utf8mb4 */;
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13
14-- Dumping structure for table just4test.orders
15DROP TABLE IF EXISTS `orders`;
16CREATE TABLE IF NOT EXISTS `orders` (
17 `Order_ID` int(11) DEFAULT NULL,
18 `Product` varchar(8) DEFAULT NULL,
19 `Category` varchar(10) DEFAULT NULL,
20 `Amount` int(11) DEFAULT NULL,
21 `Date` datetime DEFAULT NULL,
22 `Country` varchar(14) DEFAULT NULL
23) ENGINE=InnoDB DEFAULT CHARSET=utf8;
24
25-- Dumping data for table just4test.orders: ~213 rows (approximately)
26/*!40000 ALTER TABLE `orders` DISABLE KEYS */;
27INSERT INTO `orders` (`Order_ID`, `Product`, `Category`, `Amount`, `Date`, `Country`) VALUES
28 (1, 'Carrots', 'Vegetables', 4270, '2016-01-06 00:00:00', 'United States'),
29 (2, 'Broccoli', 'Vegetables', 8239, '2016-01-07 00:00:00', 'United Kingdom'),
30 (3, 'Banana', 'Fruit', 617, '2016-01-08 00:00:00', 'United States'),
31 (4, 'Banana', 'Fruit', 8384, '2016-01-10 00:00:00', 'Canada'),
32 (5, 'Beans', 'Vegetables', 2626, '2016-01-10 00:00:00', 'Germany'),
33 (6, 'Orange', 'Fruit', 3610, '2016-01-11 00:00:00', 'United States'),
34 (7, 'Broccoli', 'Vegetables', 9062, '2016-01-11 00:00:00', 'Australia'),
35 (8, 'Banana', 'Fruit', 6906, '2016-01-16 00:00:00', 'New Zealand'),
36 (9, 'Apple', 'Fruit', 2417, '2016-01-16 00:00:00', 'France'),
37 (10, 'Apple', 'Fruit', 7431, '2016-01-16 00:00:00', 'Canada'),
38 (11, 'Banana', 'Fruit', 8250, '2016-01-16 00:00:00', 'Germany'),
39 (12, 'Broccoli', 'Vegetables', 7012, '2016-01-18 00:00:00', 'United States'),
40 (13, 'Carrots', 'Vegetables', 1903, '2016-01-20 00:00:00', 'Germany'),
41 (14, 'Broccoli', 'Vegetables', 2824, '2016-01-22 00:00:00', 'Canada'),
42 (15, 'Apple', 'Fruit', 6946, '2016-01-24 00:00:00', 'France'),
43 (16, 'Banana', 'Fruit', 2320, '2016-01-27 00:00:00', 'United Kingdom'),
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45 (18, 'Banana', 'Fruit', 1135, '2016-01-30 00:00:00', 'United Kingdom'),
46 (19, 'Broccoli', 'Vegetables', 3595, '2016-01-30 00:00:00', 'United Kingdom'),
47 (20, 'Apple', 'Fruit', 1161, '2016-02-02 00:00:00', 'United States'),
48 (21, 'Orange', 'Fruit', 2256, '2016-02-04 00:00:00', 'France'),
49 (22, 'Banana', 'Fruit', 1004, '2016-02-11 00:00:00', 'New Zealand'),
50 (23, 'Banana', 'Fruit', 3642, '2016-02-14 00:00:00', 'Canada'),
51 (24, 'Banana', 'Fruit', 4582, '2016-02-17 00:00:00', 'United States'),
52 (25, 'Beans', 'Vegetables', 3559, '2016-02-17 00:00:00', 'United Kingdom'),
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54 (27, 'Mango', 'Fruit', 7388, '2016-02-18 00:00:00', 'France'),
55 (28, 'Beans', 'Vegetables', 7163, '2016-02-18 00:00:00', 'United States'),
56 (29, 'Beans', 'Vegetables', 5101, '2016-02-20 00:00:00', 'Germany'),
57 (30, 'Apple', 'Fruit', 7602, '2016-02-21 00:00:00', 'France'),
58 (31, 'Mango', 'Fruit', 1641, '2016-02-22 00:00:00', 'United States'),
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63 (36, 'Apple', 'Fruit', 5718, '2016-03-04 00:00:00', 'Australia'),
64 (37, 'Apple', 'Fruit', 7655, '2016-03-05 00:00:00', 'United States'),
65 (38, 'Carrots', 'Vegetables', 9116, '2016-03-05 00:00:00', 'United Kingdom'),
66 (39, 'Banana', 'Fruit', 2795, '2016-03-15 00:00:00', 'United States'),
67 (40, 'Banana', 'Fruit', 5084, '2016-03-15 00:00:00', 'United States'),
68 (41, 'Carrots', 'Vegetables', 8941, '2016-03-15 00:00:00', 'United Kingdom'),
69 (42, 'Broccoli', 'Vegetables', 5341, '2016-03-16 00:00:00', 'France'),
70 (43, 'Banana', 'Fruit', 135, '2016-03-19 00:00:00', 'Canada'),
71 (44, 'Banana', 'Fruit', 9400, '2016-03-19 00:00:00', 'Australia'),
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74 (47, 'Orange', 'Fruit', 8887, '2016-03-23 00:00:00', 'Germany'),
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81 (54, 'Apple', 'Fruit', 4364, '2016-04-01 00:00:00', 'Canada'),
82 (55, 'Carrots', 'Vegetables', 607, '2016-04-03 00:00:00', 'United Kingdom'),
83 (56, 'Banana', 'Fruit', 1054, '2016-04-06 00:00:00', 'New Zealand'),
84 (57, 'Carrots', 'Vegetables', 7659, '2016-04-06 00:00:00', 'United States'),
85 (58, 'Broccoli', 'Vegetables', 277, '2016-04-12 00:00:00', 'Germany'),
86 (59, 'Banana', 'Fruit', 235, '2016-04-17 00:00:00', 'United States'),
87 (60, 'Orange', 'Fruit', 1113, '2016-04-18 00:00:00', 'Australia'),
88 (61, 'Apple', 'Fruit', 1128, '2016-04-21 00:00:00', 'United States'),
89 (62, 'Broccoli', 'Vegetables', 9231, '2016-04-22 00:00:00', 'Canada'),
90 (63, 'Banana', 'Fruit', 4387, '2016-04-23 00:00:00', 'United States'),
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95 (68, 'Carrots', 'Vegetables', 2789, '2016-05-01 00:00:00', 'Germany'),
96 (69, 'Banana', 'Fruit', 4054, '2016-05-02 00:00:00', 'United States'),
97 (70, 'Mango', 'Fruit', 2262, '2016-05-02 00:00:00', 'United States'),
98 (71, 'Mango', 'Fruit', 5600, '2016-05-02 00:00:00', 'United Kingdom'),
99 (72, 'Banana', 'Fruit', 5787, '2016-05-03 00:00:00', 'United States'),
100 (73, 'Orange', 'Fruit', 6295, '2016-05-03 00:00:00', 'Canada'),
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113 (86, 'Broccoli', 'Vegetables', 2054, '2016-05-16 00:00:00', 'United Kingdom'),
114 (87, 'Beans', 'Vegetables', 7094, '2016-05-16 00:00:00', 'Germany'),
115 (88, 'Carrots', 'Vegetables', 6087, '2016-05-18 00:00:00', 'United States'),
116 (89, 'Apple', 'Fruit', 4264, '2016-05-19 00:00:00', 'Australia'),
117 (90, 'Mango', 'Fruit', 9333, '2016-05-20 00:00:00', 'United States'),
118 (91, 'Mango', 'Fruit', 8775, '2016-05-22 00:00:00', 'Germany'),
119 (92, 'Broccoli', 'Vegetables', 2011, '2016-05-23 00:00:00', 'United Kingdom'),
120 (93, 'Banana', 'Fruit', 5632, '2016-05-25 00:00:00', 'United States'),
121 (94, 'Banana', 'Fruit', 4904, '2016-05-25 00:00:00', 'New Zealand'),
122 (95, 'Beans', 'Vegetables', 1002, '2016-05-25 00:00:00', 'Australia'),
123 (96, 'Orange', 'Fruit', 8141, '2016-05-26 00:00:00', 'United Kingdom'),
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240 (213, 'Carrots', 'Vegetables', 339, '2016-12-30 00:00:00', 'Australia');
241/*!40000 ALTER TABLE `orders` ENABLE KEYS */;
242
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