]>
Softwares of Agnibho - dietsurvey.git/blob - dietsurvey.sql
1 /**********************************************************************
3 * Description: Application for calculating nutrient intake
4 * Author: Agnibho Mondal
5 * Website: http://code.agnibho.com
6 **********************************************************************
7 Copyright (c) 2013-2015 Agnibho Mondal
9 **********************************************************************
10 This file is part of Diet-Survey.
12 Diet-Survey is free software: you can redistribute it and/or modify
13 it under the terms of the GNU General Public License as published by
14 the Free Software Foundation, either version 3 of the License, or
15 (at your option) any later version.
17 Diet-Survey is distributed in the hope that it will be useful,
18 but WITHOUT ANY WARRANTY; without even the implied warranty of
19 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
20 GNU General Public License for more details.
22 You should have received a copy of the GNU General Public License
23 along with Diet-Survey. If not, see <http://www.gnu.org/licenses/>.
24 **********************************************************************/
25 -- phpMyAdmin SQL Dump
27 -- http://www.phpmyadmin.net
30 -- Generation Time: Dec 03, 2015 at 09:02 PM
31 -- Server version: 10.0.22-MariaDB-log
32 -- PHP Version: 5.6.15
34 SET SQL_MODE
= "NO_AUTO_VALUE_ON_ZERO";
35 SET time_zone
= "+00:00";
38 /*!40101 SET @OLD_CHARACTER_SET_CLIENT=@@CHARACTER_SET_CLIENT */;
39 /*!40101 SET @OLD_CHARACTER_SET_RESULTS=@@CHARACTER_SET_RESULTS */;
40 /*!40101 SET @OLD_COLLATION_CONNECTION=@@COLLATION_CONNECTION */;
41 /*!40101 SET NAMES utf8mb4 */;
44 -- Database: `dietsurvey`
47 -- --------------------------------------------------------
50 -- Table structure for table `food`
54 `
id`
int(11) NOT NULL,
55 `
name`
varchar(128) NOT NULL,
56 `food_group`
varchar(16) NOT NULL,
57 `energy`
decimal(6,2) NOT NULL,
58 `protein`
decimal(6,2) NOT NULL,
59 `fat`
decimal(6,2) NOT NULL,
60 `iron`
decimal(6,2) NOT NULL,
61 `calcium`
decimal(6,2) NOT NULL,
62 `vitA`
decimal(6,2) NOT NULL,
63 `vitC`
decimal(6,2) NOT NULL,
64 `thiamine`
decimal(6,2) NOT NULL,
65 `riboflavin`
decimal(6,2) NOT NULL
66 ) ENGINE
=InnoDB
DEFAULT CHARSET
=latin1
;
69 -- Dumping data for table `food`
72 INSERT INTO `food`
(`
id`
, `
name`
, `food_group`
, `energy`
, `protein`
, `fat`
, `iron`
, `calcium`
, `vitA`
, `vitC`
, `thiamine`
, `riboflavin`
) VALUES
73 (1, 'Rice', 'Cereals', '348.00', '6.40', '0.40', '1.00', '9.00', '0.00', '0.00', '0.21', '0.05'),
74 (2, 'Wheat', 'Cereals', '341.00', '12.10', '1.70', '4.90', '48.00', '29.00', '0.00', '0.49', '0.17'),
75 (3, 'Dal', 'Pulses', '348.00', '24.50', '1.20', '3.90', '75.00', '49.00', '0.00', '0.47', '0.21'),
76 (4, 'Lentil', 'Pulses', '343.00', '25.10', '0.60', '7.60', '69.00', '270.00', '0.00', '0.45', '0.20'),
77 (5, 'Soyabean', 'Pulses', '432.00', '43.20', '19.50', '10.40', '240.00', '426.00', '0.00', '0.73', '0.39'),
78 (6, 'Ground Nut', 'Nuts & Oilseeds', '567.00', '25.30', '40.10', '2.50', '90.00', '37.00', '0.00', '0.90', '0.13'),
79 (7, 'Amaranth', 'GLV', '45.00', '4.00', '0.50', '3.49', '397.00', '5520.00', '99.00', '0.03', '0.30'),
80 (8, 'Cabbage', 'GLV', '27.00', '1.80', '0.10', '0.80', '39.00', '120.00', '124.00', '0.06', '0.09'),
81 (9, 'Spinach', 'GLV', '26.00', '2.00', '0.70', '1.14', '73.00', '5580.00', '28.00', '0.03', '0.25'),
82 (10, 'Bottle Guard', 'Other Vegetables', '12.00', '0.20', '0.10', '0.46', '20.00', '0.00', '0.00', '0.03', '0.01'),
83 (11, 'Brinjal', 'Other Vegetables', '24.00', '1.40', '0.30', '0.38', '18.00', '74.00', '12.00', '0.04', '0.11'),
84 (12, 'Cauliflower', 'Other Vegetables', '30.00', '2.60', '0.40', '1.23', '33.00', '30.00', '56.00', '0.04', '0.10'),
85 (13, 'Cucumber', 'Other Vegetables', '13.00', '0.40', '0.10', '0.60', '10.00', '0.00', '7.00', '0.03', '0.00'),
86 (14, 'Ladies Finger', 'Other Vegetables', '35.00', '1.90', '0.20', '0.35', '66.00', '52.00', '13.00', '0.07', '0.10'),
87 (15, 'Papaya (green)', 'Other Vegetables', '27.00', '0.70', '0.20', '0.90', '28.00', '0.00', '12.00', '0.00', '0.00'),
88 (16, 'Parwar', 'Other Vegetables', '20.00', '2.00', '0.30', '1.70', '30.00', '153.00', '29.00', '0.50', '0.60'),
89 (17, 'Pumpkin', 'Other Vegetables', '25.00', '1.40', '0.10', '0.44', '10.00', '50.00', '2.00', '0.60', '0.40'),
90 (18, 'Plantain', 'Other Vegetables', '64.00', '1.40', '0.20', '6.27', '10.00', '30.00', '24.00', '0.05', '0.02'),
91 (19, 'Carrot', 'Roots & Tubers', '48.00', '0.90', '0.20', '1.03', '80.00', '1890.00', '3.00', '0.04', '0.02'),
92 (20, 'Onion', 'Roots & Tubers', '50.00', '1.20', '0.10', '0.60', '47.00', '0.00', '11.00', '0.06', '0.01'),
93 (21, 'Potato', 'Roots & Tubers', '97.00', '1.60', '0.10', '0.48', '10.00', '24.00', '17.00', '0.10', '0.01'),
94 (22, 'Radish', 'Roots & Tubers', '32.00', '0.60', '0.30', '0.37', '50.00', '3.00', '17.00', '0.06', '0.02'),
95 (23, 'Amla', 'Fruits', '58.00', '0.50', '0.10', '1.20', '50.00', '9.00', '600.00', '0.03', '0.01'),
96 (24, 'Apple', 'Fruits', '59.00', '0.20', '0.66', '1.00', '10.00', '0.00', '1.00', '0.00', '0.00'),
97 (25, 'Banana', 'Fruits', '116.00', '1.20', '0.36', '0.90', '17.00', '78.00', '7.00', '0.05', '0.08'),
98 (26, 'Grape', 'Fruits', '71.00', '0.50', '0.30', '0.50', '20.00', '0.00', '1.00', '0.00', '0.00'),
99 (27, 'Lemon', 'Fruits', '57.00', '1.00', '0.90', '0.26', '70.00', '0.00', '39.00', '0.02', '0.01'),
100 (28, 'Guava', 'Fruits', '51.00', '0.90', '0.30', '0.27', '10.00', '0.00', '212.00', '0.03', '0.03'),
101 (29, 'Mango', 'Fruits', '74.00', '0.60', '0.40', '1.30', '14.00', '2743.00', '16.00', '0.06', '0.09'),
102 (30, 'Orange', 'Fruits', '48.00', '0.70', '0.20', '0.32', '26.00', '1104.00', '30.00', '0.00', '0.00'),
103 (31, 'Papaya (ripe)', 'Fruits', '32.00', '0.60', '0.10', '0.50', '17.00', '666.00', '57.00', '0.04', '0.25'),
104 (32, 'Tomato', 'Fruits', '20.00', '0.90', '0.20', '0.64', '48.00', '351.00', '27.00', '0.12', '0.06'),
105 (33, 'Milk (cow)', 'Milk & Products', '67.00', '3.20', '4.10', '0.20', '120.00', '53.00', '2.00', '0.05', '0.19'),
106 (34, 'Milk (human)', 'Milk & Products', '65.00', '1.10', '3.40', '0.00', '28.00', '41.00', '3.00', '0.02', '0.02'),
107 (35, 'Egg', 'Flesh Foods', '173.00', '13.30', '13.30', '2.10', '60.00', '420.00', '0.00', '0.10', '0.40'),
108 (36, 'Fish (rohu)', 'Flesh Foods', '92.00', '16.60', '1.40', '1.00', '650.00', '0.00', '22.00', '0.05', '0.07'),
109 (37, 'Chillies', 'Spices', '29.00', '2.90', '0.60', '4.40', '30.00', '175.00', '111.00', '0.19', '0.39'),
110 (38, 'Oil', 'Fats & Oils', '900.00', '0.00', '100.00', '0.00', '0.00', '0.00', '0.00', '0.00', '0.00'),
111 (39, 'Sugar', 'Sugar & Jaggery', '398.00', '0.10', '0.00', '0.16', '12.00', '0.00', '0.00', '0.00', '0.00');
113 -- --------------------------------------------------------
116 -- Table structure for table `rda`
120 `
id`
int(11) NOT NULL,
121 `subject`
varchar(16) NOT NULL,
122 `energy`
decimal(6,2) NOT NULL,
123 `protein`
decimal(6,2) NOT NULL,
124 `iron`
decimal(6,2) NOT NULL,
125 `vitA`
decimal(6,2) NOT NULL,
126 `thiamine`
decimal(6,2) NOT NULL,
127 `riboflavin`
decimal(6,2) NOT NULL,
128 `vitC`
decimal(6,2) NOT NULL
129 ) ENGINE
=InnoDB
DEFAULT CHARSET
=latin1
;
132 -- Dumping data for table `rda`
135 INSERT INTO `rda`
(`
id`
, `subject`
, `energy`
, `protein`
, `iron`
, `vitA`
, `thiamine`
, `riboflavin`
, `vitC`
) VALUES
136 (1, 'infant_0m-6m', '500.00', '0.00', '0.00', '0.00', '0.20', '0.30', '25.00'),
137 (2, 'infant_6m-9m', '670.00', '13.40', '5.00', '2100.00', '0.30', '0.40', '25.00'),
138 (3, 'infant_9m-12m', '670.00', '14.90', '5.00', '2100.00', '0.30', '0.40', '25.00'),
139 (4, 'male_1y', '1060.00', '15.10', '9.00', '3200.00', '0.50', '0.60', '40.00'),
140 (5, 'male_2y', '1060.00', '16.00', '9.00', '3200.00', '0.50', '0.60', '40.00'),
141 (6, 'male_3y', '1060.00', '17.20', '9.00', '3200.00', '0.50', '0.60', '40.00'),
142 (7, 'male_4y', '1350.00', '18.30', '13.00', '3200.00', '0.70', '0.80', '40.00'),
143 (8, 'male_5y', '1350.00', '19.80', '13.00', '3200.00', '0.70', '0.80', '40.00'),
144 (9, 'male_6y', '1350.00', '23.50', '13.00', '3200.00', '0.70', '0.80', '40.00'),
145 (10, 'male_7y', '1690.00', '26.60', '16.00', '4800.00', '0.80', '1.00', '40.00'),
146 (11, 'male_8y', '1690.00', '29.70', '16.00', '4800.00', '0.80', '1.00', '40.00'),
147 (12, 'male_9y', '1690.00', '33.00', '16.00', '4800.00', '0.80', '1.00', '40.00'),
148 (13, 'male_10y', '2190.00', '36.30', '21.00', '4800.00', '1.10', '1.30', '40.00'),
149 (14, 'male_11y', '2190.00', '39.60', '21.00', '4800.00', '1.10', '1.30', '40.00'),
150 (15, 'male_12y', '2190.00', '43.70', '21.00', '4800.00', '1.10', '1.30', '40.00'),
151 (16, 'male_13y', '2750.00', '49.80', '32.00', '4800.00', '1.40', '1.60', '40.00'),
152 (17, 'male_14y', '2750.00', '54.70', '32.00', '4800.00', '1.40', '1.60', '40.00'),
153 (18, 'male_15y', '2750.00', '58.20', '32.00', '4800.00', '1.40', '1.60', '40.00'),
154 (19, 'male_16y', '3020.00', '60.80', '28.00', '4800.00', '1.50', '1.80', '40.00'),
155 (20, 'male_17y', '3020.00', '62.20', '28.00', '4800.00', '1.50', '1.80', '40.00'),
156 (21, 'female_1y', '1060.00', '14.10', '9.00', '3200.00', '0.50', '0.30', '40.00'),
157 (22, 'female_2y', '1060.00', '15.10', '9.00', '3200.00', '0.50', '0.30', '40.00'),
158 (23, 'female_3y', '1060.00', '16.80', '9.00', '3200.00', '0.50', '0.30', '40.00'),
159 (24, 'female_4y', '1350.00', '17.80', '13.00', '3200.00', '0.70', '0.80', '40.00'),
160 (25, 'female_5y', '1350.00', '19.30', '13.00', '3200.00', '0.70', '0.80', '40.00'),
161 (26, 'female_6y', '1350.00', '23.00', '13.00', '3200.00', '0.70', '0.80', '40.00'),
162 (27, 'female_7y', '1690.00', '26.10', '16.00', '4800.00', '0.80', '1.00', '40.00'),
163 (28, 'female_8y', '1690.00', '29.50', '16.00', '4800.00', '0.80', '1.00', '40.00'),
164 (29, 'female_9y', '1690.00', '32.60', '16.00', '4800.00', '0.80', '1.00', '40.00'),
165 (30, 'female_10y', '2010.00', '36.80', '27.00', '4800.00', '1.00', '1.20', '40.00'),
166 (31, 'female_11y', '2010.00', '40.00', '27.00', '4800.00', '1.00', '1.20', '40.00'),
167 (32, 'female_12y', '2010.00', '44.50', '27.00', '4800.00', '1.00', '1.20', '40.00'),
168 (33, 'female_13y', '2330.00', '49.00', '27.00', '4800.00', '1.20', '1.40', '40.00'),
169 (34, 'female_14y', '2330.00', '52.80', '27.00', '4800.00', '1.20', '1.40', '40.00'),
170 (35, 'female_15y', '2330.00', '53.80', '27.00', '4800.00', '1.20', '1.40', '40.00'),
171 (36, 'female_16y', '2440.00', '54.90', '26.00', '4800.00', '1.00', '1.20', '40.00'),
172 (37, 'female_17y', '2440.00', '56.00', '26.00', '4800.00', '1.00', '1.20', '40.00'),
173 (38, 'male_sedentary', '2320.00', '60.00', '17.00', '4800.00', '1.20', '1.40', '40.00'),
174 (39, 'male_moderate', '2730.00', '60.00', '17.00', '4800.00', '1.40', '1.60', '40.00'),
175 (40, 'male_heavy', '3490.00', '60.00', '17.00', '4800.00', '1.70', '2.10', '40.00'),
176 (41, 'female_sedentary', '1900.00', '55.00', '21.00', '4800.00', '1.00', '1.10', '40.00'),
177 (42, 'female_moderate', '2230.00', '55.00', '21.00', '4800.00', '1.10', '1.30', '40.00'),
178 (43, 'female_heavy', '2850.00', '55.00', '21.00', '4800.00', '1.40', '1.70', '40.00'),
179 (44, 'pregnant', '350.00', '78.00', '35.00', '6400.00', '0.20', '0.30', '60.00'),
180 (45, 'lactating_below6', '600.00', '74.00', '25.00', '7600.00', '0.30', '0.40', '80.00'),
181 (46, 'lactating_above6', '520.00', '68.00', '21.00', '7600.00', '0.20', '0.30', '80.00');
184 -- Indexes for dumped tables
188 -- Indexes for table `food`
191 ADD PRIMARY KEY (`
id`
);
194 -- Indexes for table `rda`
197 ADD PRIMARY KEY (`
id`
);
200 -- AUTO_INCREMENT for dumped tables
204 -- AUTO_INCREMENT for table `food`
207 MODIFY `
id`
int(11) NOT NULL AUTO_INCREMENT
, AUTO_INCREMENT
=40;
209 -- AUTO_INCREMENT for table `rda`
212 MODIFY `
id`
int(11) NOT NULL AUTO_INCREMENT
, AUTO_INCREMENT
=47;
213 /*!40101 SET CHARACTER_SET_CLIENT=@OLD_CHARACTER_SET_CLIENT */;
214 /*!40101 SET CHARACTER_SET_RESULTS=@OLD_CHARACTER_SET_RESULTS */;
215 /*!40101 SET COLLATION_CONNECTION=@OLD_COLLATION_CONNECTION */;