Gas_Management.sql

USE [master]
GO
/****** Object:  Database [Gas_Management_230724]    Script Date: 22/07/2024 10:12:43 CH ******/
CREATE DATABASE [Gas_Management_230724]
 CONTAINMENT = NONE
 ON  PRIMARY 
( NAME = N'Gas_Management', FILENAME = N'C:\Program Files\Microsoft SQL Server\MSSQL15.MSSQLSERVER\MSSQL\DATA\Gas_Management.mdf' , SIZE = 8192KB , MAXSIZE = UNLIMITED, FILEGROWTH = 65536KB )
 LOG ON 
( NAME = N'Gas_Management_log', FILENAME = N'C:\Program Files\Microsoft SQL Server\MSSQL15.MSSQLSERVER\MSSQL\DATA\Gas_Management_log.ldf' , SIZE = 8192KB , MAXSIZE = 2048GB , FILEGROWTH = 65536KB )
 WITH CATALOG_COLLATION = DATABASE_DEFAULT
GO
ALTER DATABASE [Gas_Management_230724] SET COMPATIBILITY_LEVEL = 150
GO
IF (1 = FULLTEXTSERVICEPROPERTY('IsFullTextInstalled'))
begin
EXEC [Gas_Management_230724].[dbo].[sp_fulltext_database] @action = 'enable'
end
GO
ALTER DATABASE [Gas_Management_230724] SET ANSI_NULL_DEFAULT OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET ANSI_NULLS OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET ANSI_PADDING OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET ANSI_WARNINGS OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET ARITHABORT OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET AUTO_CLOSE OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET AUTO_SHRINK OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET AUTO_UPDATE_STATISTICS ON 
GO
ALTER DATABASE [Gas_Management_230724] SET CURSOR_CLOSE_ON_COMMIT OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET CURSOR_DEFAULT  GLOBAL 
GO
ALTER DATABASE [Gas_Management_230724] SET CONCAT_NULL_YIELDS_NULL OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET NUMERIC_ROUNDABORT OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET QUOTED_IDENTIFIER OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET RECURSIVE_TRIGGERS OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET  ENABLE_BROKER 
GO
ALTER DATABASE [Gas_Management_230724] SET AUTO_UPDATE_STATISTICS_ASYNC OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET DATE_CORRELATION_OPTIMIZATION OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET TRUSTWORTHY OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET ALLOW_SNAPSHOT_ISOLATION OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET PARAMETERIZATION SIMPLE 
GO
ALTER DATABASE [Gas_Management_230724] SET READ_COMMITTED_SNAPSHOT OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET HONOR_BROKER_PRIORITY OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET RECOVERY FULL 
GO
ALTER DATABASE [Gas_Management_230724] SET  MULTI_USER 
GO
ALTER DATABASE [Gas_Management_230724] SET PAGE_VERIFY CHECKSUM  
GO
ALTER DATABASE [Gas_Management_230724] SET DB_CHAINING OFF 
GO
ALTER DATABASE [Gas_Management_230724] SET FILESTREAM( NON_TRANSACTED_ACCESS = OFF ) 
GO
ALTER DATABASE [Gas_Management_230724] SET TARGET_RECOVERY_TIME = 60 SECONDS 
GO
ALTER DATABASE [Gas_Management_230724] SET DELAYED_DURABILITY = DISABLED 
GO
ALTER DATABASE [Gas_Management_230724] SET ACCELERATED_DATABASE_RECOVERY = OFF  
GO
EXEC sys.sp_db_vardecimal_storage_format N'Gas_Management_230724', N'ON'
GO
ALTER DATABASE [Gas_Management_230724] SET QUERY_STORE = OFF
GO
USE [Gas_Management_230724]
GO
/****** Object:  Table [dbo].[Administrator]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Administrator](
	[administratorID] [int] IDENTITY(1,1) NOT NULL,
	[userName] [varchar](100) NOT NULL,
	[password] [varchar](100) NOT NULL,
	[lastLogin] [datetime] NULL,
	[isActive] [bit] NOT NULL,
	[roleID] [int] NOT NULL,
	[email] [varchar](100) NULL,
	[img] [nvarchar](max) NULL,
	[adminName] [nvarchar](max) NULL,
 CONSTRAINT [PK_Administrator] PRIMARY KEY CLUSTERED 
(
	[administratorID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Category]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Category](
	[categoryID] [int] IDENTITY(1,1) NOT NULL,
	[code] [nvarchar](max) NOT NULL,
	[name] [nvarchar](max) NULL,
	[description] [ntext] NULL,
 CONSTRAINT [PK_Category] PRIMARY KEY CLUSTERED 
(
	[categoryID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Customer]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Customer](
	[customerID] [int] IDENTITY(1,1) NOT NULL,
	[userName] [varchar](100) NULL,
	[password] [varchar](100) NULL,
	[created] [datetime] NULL,
	[lastLogin] [datetime] NULL,
	[status] [bit] NULL,
	[gender] [bit] NULL,
	[image] [nvarchar](max) NULL,
	[firstName] [nvarchar](max) NULL,
	[lastName] [nvarchar](max) NULL,
	[address] [nvarchar](max) NULL,
	[phone] [varchar](100) NULL,
	[email] [varchar](100) NULL,
	[totalMoney] [money] NULL,
	[isCustomer] [bit] NULL,
 CONSTRAINT [PK_Customer] PRIMARY KEY CLUSTERED 
(
	[customerID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Discount]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Discount](
	[discountID] [int] IDENTITY(1,1) NOT NULL,
	[discountCode] [varchar](255) NOT NULL,
	[name] [nvarchar](max) NULL,
	[discountAmount] [decimal](10, 2) NOT NULL,
	[discountType] [varchar](10) NULL,
	[startDate] [date] NULL,
	[endDate] [date] NULL,
	[quantity] [int] NULL,
PRIMARY KEY CLUSTERED 
(
	[discountID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[DiscountUsage]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[DiscountUsage](
	[usageID] [int] IDENTITY(1,1) NOT NULL,
	[discountID] [int] NULL,
	[useDate] [date] NULL,
	[orderID] [int] NULL,
PRIMARY KEY CLUSTERED 
(
	[usageID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Notification]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Notification](
	[notiID] [int] IDENTITY(1,1) NOT NULL,
	[title] [nvarchar](200) NOT NULL,
	[content] [nvarchar](max) NOT NULL,
	[dateSend] [datetime] NOT NULL,
	[isRead] [bit] NOT NULL,
	[isForAdmins] [bit] NOT NULL,
PRIMARY KEY CLUSTERED 
(
	[notiID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[NotificationReceiver]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[NotificationReceiver](
	[notiReceiverId] [int] IDENTITY(1,1) NOT NULL,
	[notiID] [int] NOT NULL,
	[receiverType] [int] NOT NULL,
	[receiverID] [int] NOT NULL,
PRIMARY KEY CLUSTERED 
(
	[notiReceiverId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Order]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Order](
	[orderID] [int] IDENTITY(1,1) NOT NULL,
	[customerID] [int] NULL,
	[trackingNumber] [int] NULL,
	[totalMoney] [money] NULL,
	[orderDate] [datetime] NOT NULL,
	[shipAddress] [nvarchar](200) NOT NULL,
	[status] [int] NULL,
	[shipVia] [int] NULL,
	[payment] [nvarchar](1) NULL,
	[notes] [ntext] NULL,
 CONSTRAINT [PK_Order] PRIMARY KEY CLUSTERED 
(
	[orderID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[OrderDetails]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[OrderDetails](
	[orderID] [int] NOT NULL,
	[productID] [int] NOT NULL,
	[quantity] [int] NULL,
	[unitPrice] [money] NULL,
	[serialID] [int] NULL,
 CONSTRAINT [PK_OrderDetails] PRIMARY KEY CLUSTERED 
(
	[orderID] ASC,
	[productID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[OrderHistory]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[OrderHistory](
	[orderHistoryID] [int] IDENTITY(1,1) NOT NULL,
	[orderID] [int] NOT NULL,
	[customerID] [int] NOT NULL,
	[status] [varchar](255) NOT NULL,
	[updatedDate] [nvarchar](50) NULL,
 CONSTRAINT [PK__OrderHistory] PRIMARY KEY CLUSTERED 
(
	[orderHistoryID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Payments]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Payments](
	[PaymentID] [int] IDENTITY(1,1) NOT NULL,
	[OrderID] [int] NULL,
	[PaymentMethod] [varchar](50) NULL,
	[PaymentStatus] [varchar](50) NULL,
	[PaymentDate] [datetime] NULL,
PRIMARY KEY CLUSTERED 
(
	[PaymentID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Post]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Post](
	[PostID] [int] IDENTITY(1,1) NOT NULL,
	[administratorID] [int] NOT NULL,
	[Title] [nvarchar](2550) NULL,
	[DateCreated] [nvarchar](50) NULL,
	[DateUpdated] [nvarchar](50) NULL,
	[Postbanner] [nvarchar](250) NULL,
	[Context] [nvarchar](max) NULL,
	[Description] [nvarchar](max) NULL,
	[PostCategoryID] [int] NOT NULL,
	[updatedBy] [int] NULL,
 CONSTRAINT [PK__Post] PRIMARY KEY CLUSTERED 
(
	[PostID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[PostCategory]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[PostCategory](
	[PostCategoryID] [int] IDENTITY(1,1) NOT NULL,
	[Name] [nvarchar](2550) NOT NULL,
 CONSTRAINT [PK__PostCategory] PRIMARY KEY CLUSTERED 
(
	[PostCategoryID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Product]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Product](
	[productID] [int] IDENTITY(1,1) NOT NULL,
	[code] [varchar](max) NOT NULL,
	[name] [nvarchar](max) NULL,
	[keywords] [nvarchar](max) NULL,
	[shortDescription] [nvarchar](max) NULL,
	[description] [ntext] NULL,
	[categoryID] [int] NULL,
	[supplierId] [int] NULL,
	[isActive] [bit] NOT NULL,
	[unitPrice] [money] NULL,
	[image] [varchar](max) NULL,
	[stockQuantity] [int] NULL,
	[unitOnOrders] [int] NULL,
	[createdDate] [datetime] NOT NULL,
	[createdBy] [int] NULL,
	[limit] [int] NULL,
 CONSTRAINT [PK_Product] PRIMARY KEY CLUSTERED 
(
	[productID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[ProductImg]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[ProductImg](
	[imgID] [int] IDENTITY(1,1) NOT NULL,
	[productID] [int] NULL,
	[Path] [nvarchar](max) NULL,
 CONSTRAINT [PK__ProductImg] PRIMARY KEY CLUSTERED 
(
	[imgID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[ReceiverType]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[ReceiverType](
	[ReceiverTypeId] [int] IDENTITY(1,1) NOT NULL,
	[name] [nvarchar](200) NOT NULL,
PRIMARY KEY CLUSTERED 
(
	[ReceiverTypeId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Role]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Role](
	[roleID] [int] IDENTITY(1,1) NOT NULL,
	[code] [varchar](100) NULL,
	[name] [nvarchar](max) NULL,
	[description] [ntext] NULL,
 CONSTRAINT [PK_Role] PRIMARY KEY CLUSTERED 
(
	[roleID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[SerialNumbers]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[SerialNumbers](
	[SerialID] [int] IDENTITY(1,1) NOT NULL,
	[ProductID] [int] NULL,
	[SerialNumber] [varchar](255) NOT NULL,
PRIMARY KEY CLUSTERED 
(
	[SerialID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Shipments]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Shipments](
	[shipmentID] [int] IDENTITY(1,1) NOT NULL,
	[companyName] [nvarchar](max) NULL,
	[email] [nvarchar](100) NULL,
	[phone] [nvarchar](20) NULL,
	[status] [bit] NULL,
	[createdDate] [datetime] NULL,
 CONSTRAINT [PK_Shipments] PRIMARY KEY CLUSTERED 
(
	[shipmentID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Supplier]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Supplier](
	[supplierId] [int] IDENTITY(1,1) NOT NULL,
	[companyName] [nvarchar](max) NULL,
	[status] [bit] NULL,
	[createdDate] [datetime] NULL,
	[email] [varchar](100) NULL,
	[phone] [varchar](20) NULL,
	[homePage] [varchar](200) NULL,
	[password] [varchar](240) NULL,
 CONSTRAINT [PK_Supplier] PRIMARY KEY CLUSTERED 
(
	[supplierId] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Warranties]    Script Date: 22/07/2024 10:12:44 CH ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Warranties](
	[WarrantyID] [int] IDENTITY(1,1) NOT NULL,
	[SerialID] [int] NULL,
	[CreateDate] [datetime] NULL,
	[ReciverDate] [datetime] NULL,
	[DoneDate] [datetime] NULL,
	[CustomerID] [int] NULL,
	[Process_By] [int] NULL,
	[ProofImg] [nvarchar](max) NULL,
	[Notes] [nvarchar](max) NULL,
	[Status] [nvarchar](50) NULL,
	[expectedDate] [datetime] NULL,
PRIMARY KEY CLUSTERED 
(
	[WarrantyID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[Administrator] ON 

INSERT [dbo].[Administrator] ([administratorID], [userName], [password], [lastLogin], [isActive], [roleID], [email], [img], [adminName]) VALUES (1, N'admin', N'Qua3CCUdJoXNHnIq6rQW/tVqu1M=', CAST(N'2024-07-14T10:47:28.197' AS DateTime), 1, 1, N'haquocminhduc@gmail.com', N'IoT-la-gi.jpg', N'Minh Duc')
INSERT [dbo].[Administrator] ([administratorID], [userName], [password], [lastLogin], [isActive], [roleID], [email], [img], [adminName]) VALUES (2, N'admin2', N'td9RRh9oVQo60juIDZ+Q/ehM9l4=', NULL, 1, 2, N'haquocminhduc2020@gmail.com', NULL, NULL)
SET IDENTITY_INSERT [dbo].[Administrator] OFF
GO
SET IDENTITY_INSERT [dbo].[Category] ON 

INSERT [dbo].[Category] ([categoryID], [code], [name], [description]) VALUES (1, N'binh-gas-1', N'Bình gas', N'Bình gas là một thiết bị chứa gas được chế tạo từ vật liệu thép chuyên dụng để bảo quản và giữ an toàn khi lưu trữ, vận chuyển và sử dụng gas.')
INSERT [dbo].[Category] ([categoryID], [code], [name], [description]) VALUES (2, N'bep-gas-2', N'Bếp gas', N'Bếp gas là một loại bếp sử dụng nhiên liệu là khí gas (khí thiên nhiên) để nấu ăn')
INSERT [dbo].[Category] ([categoryID], [code], [name], [description]) VALUES (3, N'phu-kien-3', N'Phụ kiện', N'Phụ kiện là những bộ phận phụ trợ cho bếp ga và bình ga')
SET IDENTITY_INSERT [dbo].[Category] OFF
GO
SET IDENTITY_INSERT [dbo].[Customer] ON 

INSERT [dbo].[Customer] ([customerID], [userName], [password], [created], [lastLogin], [status], [gender], [image], [firstName], [lastName], [address], [phone], [email], [totalMoney], [isCustomer]) VALUES (1, N'duc', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=', NULL, NULL, 1, NULL, NULL, N'huy', N'nguyen', NULL, N'0377043909', N'test@gmail.com', NULL, 1)
INSERT [dbo].[Customer] ([customerID], [userName], [password], [created], [lastLogin], [status], [gender], [image], [firstName], [lastName], [address], [phone], [email], [totalMoney], [isCustomer]) VALUES (2, N'minhduc', N'MlYTlk979MIHidcW+wQXgbf2aho=', NULL, NULL, NULL, NULL, N'sky.jpg', N'Minh', N' Duc', N'Ha Noi', N'0984327585', N'haquocminhduc2020@gmail.com', NULL, NULL)
SET IDENTITY_INSERT [dbo].[Customer] OFF
GO
SET IDENTITY_INSERT [dbo].[Discount] ON 

INSERT [dbo].[Discount] ([discountID], [discountCode], [name], [discountAmount], [discountType], [startDate], [endDate], [quantity]) VALUES (1, N'9HKHBY4EMO', N'BLACK FRIDAY', CAST(500000.00 AS Decimal(10, 2)), N'FIXED', CAST(N'2024-07-15' AS Date), CAST(N'2024-07-20' AS Date), 10)
SET IDENTITY_INSERT [dbo].[Discount] OFF
GO
SET IDENTITY_INSERT [dbo].[Notification] ON 

INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (1, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 20:12:11', CAST(N'2024-07-14T20:12:11.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (2, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 20:15:50', CAST(N'2024-07-14T20:15:50.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (3, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 20:18:34', CAST(N'2024-07-14T20:18:34.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (4, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 21:06:59', CAST(N'2024-07-14T21:06:59.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (5, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 21:36:32', CAST(N'2024-07-14T21:36:32.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (6, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-14 21:39:49', CAST(N'2024-07-14T21:39:49.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (7, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-15 11:08:41', CAST(N'2024-07-15T11:08:41.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (8, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-15 11:29:32', CAST(N'2024-07-15T11:29:32.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (9, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 09:27:45', CAST(N'2024-07-16T09:27:45.000' AS DateTime), 1, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (10, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 13:36:42', CAST(N'2024-07-16T13:36:42.000' AS DateTime), 1, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (11, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 13:50:56', CAST(N'2024-07-16T13:50:56.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (12, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 19:32:43', CAST(N'2024-07-16T19:32:43.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (13, N'Warning: Poor Quality Product', N'<p>Product Bếp Công Nghiệp Sào Rinnai TL 289RI</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-16 19:34:32', CAST(N'2024-07-16T19:34:32.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (14, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 19:40:11', CAST(N'2024-07-16T19:40:11.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (15, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-16 19:49:07', CAST(N'2024-07-16T19:49:07.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (16, N'Warning: Poor Quality Product', N'<p>ProductID: 29</p>
<p>Product Name: Bếp ga đôi Rinnai RV-715Slim</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-16 19:50:09', CAST(N'2024-07-16T19:50:09.000' AS DateTime), 1, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (17, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-17 00:20:18', CAST(N'2024-07-17T00:20:18.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (18, N'Warning: Poor Quality Product', N'<p>ProductID: 9</p>
<p>Product Name: Bình xám - Van POL</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-17 00:21:58', CAST(N'2024-07-17T00:21:58.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (19, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  null</p>
<p>Has an update with status: done</p>
<p>Sent time: 2024-07-17 00:23:02', CAST(N'2024-07-17T00:23:02.000' AS DateTime), 0, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (20, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  null</p>
<p>Has an update with status: accepted</p>
<p>Sent time: 2024-07-17 00:30:00', CAST(N'2024-07-17T00:30:00.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (21, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  null</p>
<p>Has an update with status: accepted</p>
<p>Sent time: 2024-07-17 00:30:05', CAST(N'2024-07-17T00:30:05.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (22, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  null</p>
<p>Has an update with status: done</p>
<p>Sent time: 2024-07-17 00:32:04', CAST(N'2024-07-17T00:32:04.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (23, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-17 00:51:58', CAST(N'2024-07-17T00:51:58.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (24, N'Warning: Poor Quality Product', N'<p>ProductID: 5</p>
<p>Product Name: Bình gas gia đình màu xanh VT</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-17 00:53:42', CAST(N'2024-07-17T00:53:42.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (25, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  <strong>SN0042</strong></p>
<p>Has an update with status: <strong>done</strong></p>
<p>Sent time: <strong>2024-07-17 00:53:51</strong></p>
', CAST(N'2024-07-17T00:53:51.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (26, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-18 15:24:06', CAST(N'2024-07-18T15:24:06.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (27, N'Warning: Poor Quality Product', N'<p>ProductID: 31</p>
<p>Product Name: BẾP GAS ĐÔI ĐỂ BÀN MẶT KÍNH WINDO 719GL-A</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-18 15:25:12', CAST(N'2024-07-18T15:25:12.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (28, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  <strong>SN0301</strong></p>
<p>Has an update with status: <strong>done</strong></p>
<p>Sent time: <strong>2024-07-18 15:29:51</strong></p>
', CAST(N'2024-07-18T15:29:51.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (29, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-18 15:34:38', CAST(N'2024-07-18T15:34:38.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (30, N'Warning: Poor Quality Product', N'<p>ProductID: 26</p>
<p>Product Name: Bếp gas mini Namilux NH-P3212PS</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-18 15:35:50', CAST(N'2024-07-18T15:35:50.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (31, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  <strong>SN0251</strong></p>
<p>Has an update with status: <strong>done</strong></p>
<p>Sent time: <strong>2024-07-18 15:36:37</strong></p>
', CAST(N'2024-07-18T15:36:37.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (32, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-18 15:46:33', CAST(N'2024-07-18T15:46:33.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (33, N'Warning: Poor Quality Product', N'<p>ProductID: 25</p>
<p>Product Name: Bếp gas Namilux NH-041PF</p>
<p>Taken for warranty exceed the safety limit compared to the total products in stock.</p>
<p>At 2024-07-18 15:47:25', CAST(N'2024-07-18T15:47:25.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (34, N'Update status on your warranty', N'<p>Your warranty with Serial Number:  <strong>SN0241</strong></p>
<p>Has an update with status: <strong>done</strong></p>
<p>Sent time: <strong>2024-07-18 15:48:15</strong></p>
', CAST(N'2024-07-18T15:48:15.000' AS DateTime), 1, 0)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (35, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-18 15:59:37', CAST(N'2024-07-18T15:59:37.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (36, N'New Order place', N'<p>Customer huy nguyen</p>
<p>Have made a purchase</p>
<p>At 2024-07-18 16:04:03', CAST(N'2024-07-18T16:04:03.000' AS DateTime), 0, 1)
INSERT [dbo].[Notification] ([notiID], [title], [content], [dateSend], [isRead], [isForAdmins]) VALUES (37, N'New Order place', N'<p>Customer Minh  Duc</p>
<p>Have made a purchase</p>
<p>At 2024-07-22 21:19:27', CAST(N'2024-07-22T21:19:27.000' AS DateTime), 1, 1)
SET IDENTITY_INSERT [dbo].[Notification] OFF
GO
SET IDENTITY_INSERT [dbo].[NotificationReceiver] ON 

INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (1, 20, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (2, 21, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (3, 22, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (4, 25, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (5, 28, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (6, 31, 1, 2)
INSERT [dbo].[NotificationReceiver] ([notiReceiverId], [notiID], [receiverType], [receiverID]) VALUES (7, 34, 1, 2)
SET IDENTITY_INSERT [dbo].[NotificationReceiver] OFF
GO
SET IDENTITY_INSERT [dbo].[Order] ON 

INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (3, 1, 2, 320.4000, CAST(N'2024-06-10T00:00:00.000' AS DateTime), N'789 Oak St, Villagetown', 2, 1, N'1', N'Out for delivery')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (4, 1, 2, 400.5000, CAST(N'2024-06-15T00:00:00.000' AS DateTime), N'321 Pine St, Hamletville', 2, 2, N'1', N'Awaiting payment')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (7, 1, 3, 180.3000, CAST(N'2024-06-30T00:00:00.000' AS DateTime), N'147 Birch St, Cityville', 3, 2, N'1', N'Out for delivery, no issues')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (8, 1, 4, 310.0000, CAST(N'2024-07-05T00:00:00.000' AS DateTime), N'258 Spruce St, Townsville', 3, 2, N'1', N'Order being prepared')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (9, 1, 5, 260.7500, CAST(N'2024-07-10T00:00:00.000' AS DateTime), N'369 Redwood St, Villagetown', 3, 2, N'1', N'Pending confirmation')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (10, 1, 5, 295.5000, CAST(N'2024-07-15T00:00:00.000' AS DateTime), N'741 Willow St, Hamletville', 3, 2, N'1', N'Payment issue')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (14, 2, NULL, 490010.0000, CAST(N'2024-07-14T00:00:00.000' AS DateTime), N'Ha Noi', 3, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (15, 2, NULL, 990010.0000, CAST(N'2024-07-14T00:00:00.000' AS DateTime), N'', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (16, 2, NULL, 560010.0000, CAST(N'2024-07-14T00:00:00.000' AS DateTime), N'', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (17, 2, NULL, 495010.0000, CAST(N'2024-07-15T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (18, 2, NULL, 495010.0000, CAST(N'2024-07-15T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (19, 2, NULL, 495010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (20, 2, NULL, 2570010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (21, 2, NULL, 70010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (22, 2, NULL, 950010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (23, 2, NULL, 20010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (24, 2, NULL, 2570010.0000, CAST(N'2024-07-16T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (25, 2, NULL, 500010.0000, CAST(N'2024-07-17T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (26, 2, NULL, 495010.0000, CAST(N'2024-07-17T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (27, 2, NULL, 499010.0000, CAST(N'2024-07-18T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (28, 2, NULL, 340010.0000, CAST(N'2024-07-18T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (29, 2, NULL, 299010.0000, CAST(N'2024-07-18T00:00:00.000' AS DateTime), N'Ha Noi', 3, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (30, 2, NULL, 1470010.0000, CAST(N'2024-07-18T00:00:00.000' AS DateTime), N'Ha Noi', 4, NULL, NULL, N'minhduc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (31, 1, NULL, 490010.0000, CAST(N'2024-07-18T00:00:00.000' AS DateTime), N'', 0, NULL, NULL, N'duc')
INSERT [dbo].[Order] ([orderID], [customerID], [trackingNumber], [totalMoney], [orderDate], [shipAddress], [status], [shipVia], [payment], [notes]) VALUES (32, 2, NULL, 490010.0000, CAST(N'2024-07-22T00:00:00.000' AS DateTime), N'Ha Noi', 0, NULL, NULL, N'minhduc')
SET IDENTITY_INSERT [dbo].[Order] OFF
GO
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (3, 4, 36, 80.1000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (3, 5, 37, 80.2000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (4, 6, 16, 400.5000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (7, 9, 36, 180.3000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (8, 8, 33, 77.5000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (9, 8, 33, 130.3700, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (10, 8, 37, 295.5000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (14, 2, 1, 490000.0000, NULL)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (18, 4, 1, 495000.0000, 31)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (19, 5, 1, 495000.0000, 41)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (20, 29, 1, 2570000.0000, 281)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (21, 17, 1, 70000.0000, 161)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (22, 30, 1, 950000.0000, 291)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (23, 12, 1, 20000.0000, 111)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (24, 29, 1, 2570000.0000, 282)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (25, 9, 1, 500000.0000, 81)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (26, 5, 1, 495000.0000, 42)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (27, 31, 1, 499000.0000, 301)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (28, 26, 1, 340000.0000, 251)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (29, 25, 1, 299000.0000, 241)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (30, 1, 3, 490000.0000, 1)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (31, 1, 1, 490000.0000, 2)
INSERT [dbo].[OrderDetails] ([orderID], [productID], [quantity], [unitPrice], [serialID]) VALUES (32, 1, 1, 490000.0000, 3)
GO
SET IDENTITY_INSERT [dbo].[OrderHistory] ON 

INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (1, 14, 2, N'0', N'2024-07-14')
INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (2, 15, 2, N'0', N'2024-07-14')
INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (3, 16, 2, N'0', N'2024-07-14')
INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (4, 14, 2, N'3', N'2024-07-15')
INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (5, 29, 2, N'3', N'2024-07-18')
INSERT [dbo].[OrderHistory] ([orderHistoryID], [orderID], [customerID], [status], [updatedDate]) VALUES (6, 30, 2, N'4', N'2024-07-22')
SET IDENTITY_INSERT [dbo].[OrderHistory] OFF
GO
SET IDENTITY_INSERT [dbo].[Post] ON 

INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (1, 1, N'test post 1', N'18/06/2024', N'18/06/2024', N'1_ cuoc hop Bo CT.png', N't', N'test post 1', 1, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (2, 1, N'test post 2', N'18/06/2024', N'18/06/2024', N'1_ cuoc hop Bo CT.png', N't2', N'test post 2', 1, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (3, 1, N'Giới thiệu', N'18-06-2024', N'18-06-2024', N'2/df.jpg', N'about us', N'about us', 2, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (4, 1, N'Hệ thống cửa hàng', N'18-06-2024', N'18-06-2024', N'2/df/jpg', N'store', N'store', 2, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (5, 1, N'Cơ hội nghề nghiệp', N'18-06-2024', N'18-06-2024', N'2/df.jpg', N'job', N'job', 2, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (6, 1, N'Điều khoản sử dụng', N'18-06-2024', N'18-06-2024', N'3/df.jpg', N'dieu khoan', N'd', 3, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (7, 1, N'Câu hỏi thường gặp', N'18-06-2024', N'18-06-2024', N't', N't', N't', 3, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (8, 1, N'Trung tâm hỗ trợ CSKH', N'18-06-2024', N'18-06-2024', N't', N't', N't', 3, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (9, 1, N'Giới thiệu bạn bè', N'18-06-2024', N'18-06-2024', N't', N't', N't', 3, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (10, 1, N'Phương thức thanh toán', N'18-06-2024', N'18-06-2024', N't', N't', N't', 3, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (15, 1, N'Banner 3', N'2024-07-05', N'2024-07-05', N'1_ cuoc hop Bo CT.png', N'<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p>Banner 3 Banner 3 Banner 3 Banner 3&nbsp;</p>
<p><img src="data:image/jpeg;base64,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" 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INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (16, 1, N'Chính sách bảo mật', N'18-06-2024', N'18-06-2024', N't', N't', N't', 4, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (17, 1, N'Chính sách đổi trả', N'18-06-2024', N'18-06-2024', N't', N't', N't', 4, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (18, 1, N'Chính sách vận chuyển và giao nhận', N'18-06-2024', N'18-06-2024', N't', N't', N't', 4, 1)
INSERT [dbo].[Post] ([PostID], [administratorID], [Title], [DateCreated], [DateUpdated], [Postbanner], [Context], [Description], [PostCategoryID], [updatedBy]) VALUES (19, 1, N'Chính sách giải quyết khiếu nại', N'18-06-2024', N'18-06-2024', N't', N't', N't', 4, 1)
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INSERT [dbo].[PostCategory] ([PostCategoryID], [Name]) VALUES (3, N'Customer Service')
INSERT [dbo].[PostCategory] ([PostCategoryID], [Name]) VALUES (4, N'Policy')
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INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (1, N'gas-gia-dinh-mau-xam-1', N'Gas gia đình màu xám', N'bình gas;gia đình;xám', N'Bình gas 12kg.', N'Bình gas chính hãng của Công ty MTV Khi đốt Gia đình (Thuộc Tập đoàn Alphapetrol ):Sản phẩm bình gas có mua Bảo hiểm cháy nổ theo quy định Nhà nước.:Vỏ bình gas sản xuất theo tiêu chuẩn DOT-4BA-240, DOT-4BW-240 và TCVN 6292-1997.:Được bán lẻ và giao hàng bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40:Để cập nhật giá bán theo thời điểm hiện tại, vui lòng liên hệ Hệ thống Chi nhánh gần nhất.:Quý khách hàng có nhu cầu sử dụng với số lượng nhiều (từ 4 - 5 bình gas /tháng trở lên), vui lòng liên hệ để có Chính sách giá bán tốt nhất!:Gas Gia Đình là hệ thống cửa hàng Gas chất lượng, chuyên nghiệp đã được người tiêu dùng tin tưởng trong suốt thời gian qua, chúng tôi cung cấp đủ các thương hiệu bình gas uy tín như Gas Vimexco, Gas Petro Việt Nam, Gas Gia Đình, Gas Petrolimex…đảm bảo chất lượng kiểm định cho khách hàng lựa chọn. Khi chọn mua bình gas tại hệ thống Gas Gia Đình, quý khách còn được nhận hỗ trợ các chính sách hậu mãi, ưu đãi, chăm sóc khách hàng tốt nhất bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40, đảm bảo sự hài lòng cho quý khách.', 1, 2, 1, 490000.0000, N'images/products/1/df.jpg', 183, 22, CAST(N'2024-07-14T10:47:28.203' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (2, N'binh-gas-12-kg-2', N'Bình gas 12 Kg', N'bình gas;gas;12;12kg', N'Đại diện phân phối các loại sản phẩm bình gas petro Vietnam Gas giá thành tố nhất tại việt nam', N'Bình gas dân dụng:Nhãn hiệu : Petro Vietnam Gas::Dung tích : 12 Lít:Loại bình  : Sắt', 1, 1, 1, 475000.0000, N'images/products/2/df.jpg', 322, 45, CAST(N'2024-07-14T10:47:28.203' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (3, N'binh-gas-gia-dinh-mau-vang--3', N'Bình gas gia đình màu vàng', N'bình gas;gia đình;vàng;12kg;12', N'Bình gas 12kg.', N'Bình gas chính hãng của Công ty MTV Khi đốt Gia đình (Thuộc Tập đoàn Alphapetrol ):Sản phẩm bình gas có mua Bảo hiểm cháy nổ theo quy định Nhà nước.:Vỏ bình gas sản xuất theo tiêu chuẩn DOT-4BA-240, DOT-4BW-240 và TCVN 6292-1997.:Được bán lẻ và giao hàng bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40:Để cập nhật giá bán theo thời điểm hiện tại, vui lòng liên hệ Hệ thống Chi nhánh gần nhất.:Quý khách hàng có nhu cầu sử dụng với số lượng nhiều (từ 4 - 5 bình gas /tháng trở lên), vui lòng liên hệ để có Chính sách giá bán tốt nhất!:Gas Gia Đình là hệ thống cửa hàng Gas chất lượng, chuyên nghiệp đã được người tiêu dùng tin tưởng trong suốt thời gian qua, chúng tôi cung cấp đủ các thương hiệu bình gas uy tín như Gas Vimexco, Gas Petro Việt Nam, Gas Gia Đình, Gas Petrolimex…đảm bảo chất lượng kiểm định cho khách hàng lựa chọn. Khi chọn mua bình gas tại hệ thống Gas Gia Đình, quý khách còn được nhận hỗ trợ các chính sách hậu mãi, ưu đãi, chăm sóc khách hàng tốt nhất bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40, đảm bảo sự hài lòng cho quý khách.', 1, 2, 1, 495000.0000, N'images/products/3/df.jpg', 310, 24, CAST(N'2024-07-14T10:47:28.207' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (4, N'binh-gas-gia-dinh-mau-do-4', N'Bình gas gia đình màu đỏ', N'bình gas;gia đình;đỏ;12kg;12', N'Bình gas 12kg.', N'Bình gas chính hãng của Công ty MTV Khi đốt Gia đình (Thuộc Tập đoàn Alphapetrol ):Sản phẩm bình gas có mua Bảo hiểm cháy nổ theo quy định Nhà nước.:Vỏ bình gas sản xuất theo tiêu chuẩn DOT-4BA-240, DOT-4BW-240 và TCVN 6292-1997.:Được bán lẻ và giao hàng bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40:Để cập nhật giá bán theo thời điểm hiện tại, vui lòng liên hệ Hệ thống Chi nhánh gần nhất.:Quý khách hàng có nhu cầu sử dụng với số lượng nhiều (từ 4 - 5 bình gas /tháng trở lên), vui lòng liên hệ để có Chính sách giá bán tốt nhất!:Gas Gia Đình là hệ thống cửa hàng Gas chất lượng, chuyên nghiệp đã được người tiêu dùng tin tưởng trong suốt thời gian qua, chúng tôi cung cấp đủ các thương hiệu bình gas uy tín như Gas Vimexco, Gas Petro Việt Nam, Gas Gia Đình, Gas Petrolimex…đảm bảo chất lượng kiểm định cho khách hàng lựa chọn. Khi chọn mua bình gas tại hệ thống Gas Gia Đình, quý khách còn được nhận hỗ trợ các chính sách hậu mãi, ưu đãi, chăm sóc khách hàng tốt nhất bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40, đảm bảo sự hài lòng cho quý khách.', 1, 2, 1, 495000.0000, N'images/products/4/df.jpg', 307, 24, CAST(N'2024-07-14T10:47:28.207' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (5, N'binh-gas-gia-dinh-mau-xanh-vt-5', N'Bình gas gia đình màu xanh VT', N'bình gas;gia đình;xanh;12kg;12', N'Bình gas 12kg.', N'Bình gas chính hãng của Công ty MTV Khi đốt Gia đình (Thuộc Tập đoàn Alphapetrol ):Sản phẩm bình gas có mua Bảo hiểm cháy nổ theo quy định Nhà nước.:Vỏ bình gas sản xuất theo tiêu chuẩn DOT-4BA-240, DOT-4BW-240 và TCVN 6292-1997.:Được bán lẻ và giao hàng bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40:Để cập nhật giá bán theo thời điểm hiện tại, vui lòng liên hệ Hệ thống Chi nhánh gần nhất.:Quý khách hàng có nhu cầu sử dụng với số lượng nhiều (từ 4 - 5 bình gas /tháng trở lên), vui lòng liên hệ để có Chính sách giá bán tốt nhất!:Gas Gia Đình là hệ thống cửa hàng Gas chất lượng, chuyên nghiệp đã được người tiêu dùng tin tưởng trong suốt thời gian qua, chúng tôi cung cấp đủ các thương hiệu bình gas uy tín như Gas Vimexco, Gas Petro Việt Nam, Gas Gia Đình, Gas Petrolimex…đảm bảo chất lượng kiểm định cho khách hàng lựa chọn. Khi chọn mua bình gas tại hệ thống Gas Gia Đình, quý khách còn được nhận hỗ trợ các chính sách hậu mãi, ưu đãi, chăm sóc khách hàng tốt nhất bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40, đảm bảo sự hài lòng cho quý khách.', 1, 2, 1, 495000.0000, N'images/products/5/df.jpg', 303, 24, CAST(N'2024-07-14T10:47:28.207' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (6, N'binh-gas-gia-dinh-45-kg-6', N'Bình gas gia đình 45Kg', N'bình gas;gia đình;45kg;45', N'Bình gas 45Kg.', N'Bình gas chính hãng của Công ty MTV Khi đốt Gia đình (Thuộc Tập đoàn Alphapetrol ):Sản phẩm bình gas có mua Bảo hiểm cháy nổ theo quy định Nhà nước.:Vỏ bình gas sản xuất theo tiêu chuẩn DOT-4BA-240, DOT-4BW-240 và TCVN 6292-1997.:Được bán lẻ và giao hàng bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40:Để cập nhật giá bán theo thời điểm hiện tại, vui lòng liên hệ Hệ thống Chi nhánh gần nhất.:Quý khách hàng có nhu cầu sử dụng với số lượng nhiều (từ 4 - 5 bình gas /tháng trở lên), vui lòng liên hệ để có Chính sách giá bán tốt nhất!:Gas Gia Đình là hệ thống cửa hàng Gas chất lượng, chuyên nghiệp đã được người tiêu dùng tin tưởng trong suốt thời gian qua, chúng tôi cung cấp đủ các thương hiệu bình gas uy tín như Gas Vimexco, Gas Petro Việt Nam, Gas Gia Đình, Gas Petrolimex…đảm bảo chất lượng kiểm định cho khách hàng lựa chọn. Khi chọn mua bình gas tại hệ thống Gas Gia Đình, quý khách còn được nhận hỗ trợ các chính sách hậu mãi, ưu đãi, chăm sóc khách hàng tốt nhất bởi Gas Bình Minh , Nam gas , Gas Hướng dương , Gas 40, đảm bảo sự hài lòng cho quý khách.', 1, 2, 1, 560000.0000, N'images/products/6/df.jpg', 523, 13, CAST(N'2024-07-14T10:47:28.210' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (7, N'binh-do-van-pol-7', N'Bình đỏ - Van POL', N'bình;bình gas;đỏ;POL', N'Bình gas màu đỏ van POL', N'1.	Tiêu chuẩn	DOT 4BA-240:2.	Dung tích nước	26.2 ~ 26.5 lít (±0.2):3.	Dung lượng chứa LPG	12 kg:4.	Tiêu chuẩn thép	JIS G 3116 SG 255:5.	Đường kính ngoài của bình	300mm (±2):6.	Chiều cao tổng thể của bình	560mm (±5):7.	Áp suất thử thủy tĩnh	34 Kg/cm2:8.	Van	POL V4E hiệu SCG', 1, 3, 1, 500000.0000, N'images/products/7/df.jpg', 432, 75, CAST(N'2024-07-14T10:47:28.210' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (8, N'binh-12-kg-van-compact-8', N'Bình 12kg van Compact', N'bình;bình gas;compact', N'Bình gas van thuộc loại nhỏ gọn', N' 1.	 Tiêu chuẩn	 DOT 4BA-240:2.	 Dung tích nước	 26.4 lít (±0.2):3.	 Dung lượng chứa LPG	 12 kg:4.	 Tiêu chuẩn thép	 JIS G 3116 SG 255:5.	 Đường kính ngoài của bình	 300mm (±1):6.	 Chiều cao tổng thể của bình 	 585mm (±3):7.	 Áp suất thử thủy tĩnh	 34 Kg/cm2:8.	 Van	COMPACT', 1, 3, 1, 520000.0000, N'images/products/8/df.jpg', 313, 55, CAST(N'2020-01-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (9, N'binh-xam-ban-pol-9', N'Bình xám - Van POL', N'bình;bình gas;xám;POL', N'Bình gas àu xám van POL', N' 1.	 Tiêu chuẩn	 DOT 4BA-240:2.	 Dung tích nước	 26.4 lít (±0.2):3.	 Dung lượng chứa LPG	 12 kg:4.	 Tiêu chuẩn thép	 JIS G 3116 SG 255:5.	 Đường kính ngoài của bình	 300mm (±1):6.	 Chiều cao tổng thể của bình 	 585mm (±3):7.	 Áp suất thử thủy tĩnh	 34 Kg/cm2:8.	 Van	 POL V87 hiệu SCG', 1, 3, 1, 500000.0000, N'images/products/9/df.jpg', 343, 31, CAST(N'2020-01-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (10, N'binh-45-kg-loai-1-van-10', N'Bình 45kg loại 1 van', N'bình;bình gas;45;45kg;1 van', N'Bình gas 45Kg 1 van', N'1.	 Tiêu chuẩn thiết kế	 DOT-4BW-240:2.	 Áp suất thiết kế	 240 Psi; 17 Kg/cm2:3.	 Áp suất kiểm tra thủy lực	 480 Psi; 34 Kg/cm2:4.	 Thể tích bình	 99 lít ± 0.5%:5.	 Trọng lượng khí	 45kg Bu + Pro:6.	 Đường kính ngoài thân bình         	 374mm ± 1mm:7.	 Chiều cao toàn bộ bình	 1175mm ± 5mm:8.	 Van	 POL-V87Q3 hiệu SCG', 1, 3, 1, 440000.0000, N'images/products/10/df.jpg', 1128, 86, CAST(N'2020-01-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (11, N'binh-gas-45-kg-loai-2-van-11', N'Bình Gas 45kg loại 2 van', N'bình;bình gas;45kg;2 van', N'Bình gas 45kg loại 2 van', N' 1.	 Tiêu chuẩn	 DOT 4BA-240: 2.	 Dung tích nước	 26.4 lít (±0.2): 3.	 Dung lượng chứa LPG	 12 kg: 4.	 Tiêu chuẩn thép	 JIS G 3116 SG 255: 5.	 Đường kính ngoài của bình	 300mm (±1): 6.	 Chiều cao tổng thể của bình 	 585mm (±3): 7.	 Áp suất thử thủy tĩnh	 34 Kg/cm2: 8.	 2 Van	 POL V87 hiệu SCG', 1, 4, 1, 500000.0000, N'images/products/11/df.jpg', 386, 61, CAST(N'2020-01-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (12, N'lon-gas-nhap-khau-12', N'Lon gas nhập khẩu', N'lon;lon gas;nhập khẩu', N'Lon gas dùng cho bếp mini', N'Model	Lon gas mini NaMilux:Khối lượng tịnh	250g:Tổng khối lượng của khí nén và bình	350g:Thế tích thực	520ml', 1, 4, 1, 20000.0000, N'images/products/12/df.jpg', 43118, 2857, CAST(N'2020-01-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (13, N'bao-ro-ri-gas-13', N'BÁO RÒ RỈ GAS', N'báo;rò rỉ', N'Phát hiện khí gas bị rò rỉ và báo động khi có các sự cố về rò rỉ gas', N'Model	VTD 2005 (AC type):Nhận biết loại khí	LPG, LNG, Khí Mêtan, Khí dễ cháy:Điểm cảnh báo	Nồng độ cảnh báo 25% LEL:(Điểm cài đặt 18% LEL)::Công nghệ phát hiện	Khuyếch tán và phân tích chất dế cháy:Thời gian kích hoạt	Trong vòng 20 giây:Nhiệt độ và độ ẩm vận hành	0℃~40℃. < 90% (RH):Nguồn điện	AC 220V. 50/60Hz:Tiêu thụ điện năng	1.5W:Trọng lượng và Kích thước	224g và 70x120x38mm:Cảnh báo	 Đèn LED màu vàng:Phát âm báo (70dB DC 12V 20mA):ABS Nhựa chống cháy', 3, 1, 1, 200000.0000, N'images/products/13/df.jpg', 3150, 245, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (14, N'bao-ro-ri-gas-jic-678n-14', N'BÁO RÒ RỈ GAS JIC-678N', N'báo;rò rỉ;JIC-678N', N'Phát hiện khí gas bị rò rỉ và báo động khi có các sự cố về rò rỉ gas', N'Thiết bị báo rò rỉ gas đã trở nên khá quen thuộc với nhiều nhà bếp nhà hàng, bếp công nghiệp và cả bếp của các gia đình hiện nay. Công dụng chính của thiết bị gas này là phát hiện khí gas bị rò rỉ và báo động khi có các sự cố về rò rỉ gas, đảm bảo an toàn trong nhà bếp.:Đặc biệt là trong các nhà hàng thì các thiết bị bếp hoặc van dây được sử dụng với cường độ cao & thường xuyên thì việc xì gas hay rò rỉ gas rất dễ xảy ra. Trong nhiều trường hợp khác nguyên nhân xảy ra các sự cố về gas cũng có thể là do vết dầu mỡ bắn vào lâu ngày làm mục dây gas hoặc chuột bọ cắn dây gas, vì vậy việc trang bị cho nhà bếp một thiết bị báo rò rỉ gas này là khá quan trọng và đảm bảo an toàn cho cả người và tài sản của nhà hàng.:Thiết bị báo rò rỉ gas sẽ phát huy tác dụng tốt nhất khi kết hợp với thiết bị ngắt gas tự động và còi hú báo động, khi có sự cố thì thiết bị này sẽ truyền tín hiệu đến còi hú để báo động sự cố và thiết bị ngắt gas cũng tự động ngắt gas ngăn không cho gas tiếp tục rò rỉ ra ngoài.:Hiện nay trên thị trường thì các thiết bị báo rò rỉ gas khá đa dạng về nguồn gốc xuất xứ như Hàn Quốc, Trung Quốc, Đài Loan, Nhật Bản…Tùy theo ngân sách và nhu cầu của từng nhà hàng thì có thể sắm thiết bị cho phù hợp.:Toàn phát là đơn vị chuyên nhập khẩu và phân phối các thiết bị báo rò rỉ gas an toàn của Hàn Quốc, Nhật Bản, Hàn Quốc. chúng tôi sẵn sàng tư vấn cho quý vị lựa chọn thiết bị phù hợp, lắp đặt tận nơi, hướng dẫn sử dụng và bảo hành bảo trì chu đáo cho các sản phẩm bán ra.:Ngoài ra Petro VN cũng là nhà thầu::Lắp đặt mới, thay thế các thiết bị đã cũ, bảo trì bảo dưỡng hệ thống gas, ống gas, van dây gas của các nhà hàng đã sử dụng lâu ngày & có nguy cơ bị xì gas hoặc không đảm bảo an toàn khi có các sự cố về Gas.:Nhận tư vấn thiết kế thi công hệ thống gas an toàn tuyệt đối khi sử dụng cho nhà bếp nhà hàng, bếp công nghiệp căng tin trường học, bệnh viện nhà máy khu chế xuất…', 3, 1, 1, 195000.0000, N'images/products/14/df.jpg', 2041, 25, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (15, N'bo-ngat-gas-tu-dong-15', N'BỘ NGẮT GAS TỰ ĐỘNG', N'ngắt gas;tư động', N'Bộ ngắt gas tự động với hệ thống phát hiện rò rỉ gas', N'– Nguồn điện : AC-110/220V 50/60HZ:– Điện năng tiêu thụ chờ : 0.5W:– Điện năng tiêu thụ báo động : 2W:– Báo động tập trung : LEL 1/4:– Hoạt động nhiệt độ : -40oC ~ 70oC:– Loại: Bộ ngắt gas tự động với hệ thống phát hiện rò rỉ gas:– Trọng lượng: 0,15 kg:– Loại điều khiển: Thời gian (30 giây):-Tính năng chuyển mạch từ xa và tự động ngắt khi phát hiện rò rỉ khí gas', 3, 1, 1, 220000.0000, N'images/products/15/df.jpg', 4114, 422, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (16, N'day-dan-gas-cao-ap-cong-nghiep-windo-16', N'Dây dẫn gas cao áp công nghiệp WINDO', N'dây dẫn;cáo áp', N'Sản phẩm chất lượng cao, được thiết kế đặc biệt để đảm bảo an toàn và hiệu suất cho hệ thống dẫn gas.', N'Dây dẫn gas công nghiệp là sản phẩm đầu ra áp suất cao dùng cho van bếp gas công nghiệp khè nấu nhanh có độ bền rất cao,được người việt tin dùng toàn quốc. -Dây gas sử dụng cho van gas công nghiệp dùng bình gas 12kg hoặc bình gas bò 45kg - 50kg. -Sử dụng cao su chuyên dụng NBR ( nhật bản ) -->có độ bóng,không mùi,không bị lão hoá.', 3, 6, 1, 150000.0000, N'images/products/16/df.jpg', 1000, 311, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (17, N'van-dieu-ap-ngat-gas-tu-dong-cao-ap-windo-wd-349-17', N'VAN ĐIỀU ÁP NGẮT GAS TỰ ĐỘNG CAO ÁP WINDO WD-349', N'van;van điều áp;ngắt gas;tự động;windo;wd-349', N'VAN ĐIỀU ÁP NGẮT GAS TỰ ĐỘNG CAO ÁP WINDO WD-349', N'Van điều áp ngắt gas tự động cao áp WINDO WD-349 là một thiết bị an toàn và hiệu quả được thiết kế để kiểm soát áp suất trong hệ thống gas cao áp. Với chức năng tự động ngắt gas khi áp suất vượt quá mức cho phép, van này giúp bảo vệ hệ thống khỏi các nguy cơ gây cháy nổ do áp suất quá cao.

Sử dụng công nghệ tiên tiến và vật liệu chất lượng cao, van điều áp WINDO WD-349 đảm bảo độ chính xác và đáng tin cậy trong việc kiểm soát áp suất. Thiết kế thông minh và dễ dàng lắp đặt giúp tối ưu hóa hiệu suất hoạt động của hệ thống gas và giảm thiểu sự cố.

Với khả năng hoạt động tự động và đáng tin cậy, van điều áp ngắt gas tự động cao áp WINDO WD-349 là một phần không thể thiếu trong hệ thống gas công nghiệp và thương mại, giúp bảo vệ an toàn và tăng cường hiệu suất hoạt động.', 3, 6, 1, 70000.0000, N'images/products/17/df.jpg', 420, 43, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (18, N'van-dieu-ap-ngat-gas-tu-dong-cao-ap-windo-wd-348-18', N'VAN ĐIỀU ÁP NGẮT GAS TỰ ĐỘNG CAO ÁP WINDO WD-348', N'van;van điều áp;ngắt gas;tự động;windo;wd-348', N'VAN ĐIỀU ÁP NGẮT GAS TỰ ĐỘNG CAO ÁP WINDO WD-348', N'Van điều áp ngắt gas tự động cao áp WINDO WD-348 là một thiết bị chất lượng cao được thiết kế để kiểm soát áp suất trong hệ thống gas cao áp. Với chức năng tự động ngắt gas khi áp suất vượt quá mức cho phép, van này đảm bảo an toàn và độ tin cậy cao cho hệ thống.

Sử dụng công nghệ tiên tiến và vật liệu chất lượng, van WINDO WD-348 giúp duy trì áp suất ổn định trong hệ thống gas, ngăn ngừa các tình huống nguy hiểm có thể xảy ra do áp suất quá cao. Thiết kế thông minh và dễ dàng lắp đặt, van này phù hợp với nhiều ứng dụng trong ngành công nghiệp và thương mại.', 3, 6, 1, 70000.0000, N'images/products/18/df.jpg', 111, 64, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (19, N'van-dieu-ap-srg-19', N'Van điều áp SRG', N'Van điều áp;SRG', N'Van điều áp đảm bảo đường truyền gas ổn định, an toàn', N'VAN ĐIỀU ÁP SRG là một thiết bị chất lượng cao được sử dụng để kiểm soát áp suất trong hệ thống gas. Thiết bị này được thiết kế để tự động điều chỉnh áp suất và duy trì mức áp suất ổn định trong hệ thống.

Với tính năng tự động điều chỉnh, VAN ĐIỀU ÁP SRG giúp ngăn chặn các vấn đề có thể xảy ra do áp suất gas biến đổi không đều, bảo vệ hệ thống khỏi những cú sốc áp suất đột ngột và đảm bảo hoạt động ổn định của các thiết bị và đường ống gas.

VAN ĐIỀU ÁP SRG được sản xuất với công nghệ tiên tiến và vật liệu chất lượng, đảm bảo độ tin cậy cao và tuổi thọ dài lâu. Thiết bị này dễ dàng lắp đặt và vận hành, phù hợp cho nhiều ứng dụng trong các ngành công nghiệp và thương mại.', 3, 3, 1, 70000.0000, N'images/products/19/df.jpg', 4380, 43, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (20, N'van-dieu-ap-comap-20', N'Van điều áp Comap', N'Van điều áp;Comap', N'Van điều áp đảm bảo đường truyền gas ổn định, an toàn', N'VAN ĐIỀU ÁP COMAP là một thiết bị điều chỉnh áp suất chất lượng cao được sử dụng trong hệ thống gas. Thiết bị này được thiết kế để tự động điều chỉnh áp suất và duy trì mức áp suất ổn định trong hệ thống gas.

Với tính năng tự động điều chỉnh, VAN ĐIỀU ÁP COMAP giúp ngăn chặn các vấn đề có thể xảy ra do áp suất gas biến đổi không đều, bảo vệ hệ thống khỏi những cú sốc áp suất đột ngột và đảm bảo hoạt động ổn định của các thiết bị và đường ống gas.

Thiết bị này được sản xuất với công nghệ tiên tiến và vật liệu chất lượng, đảm bảo độ tin cậy cao và tuổi thọ dài lâu. VAN ĐIỀU ÁP COMAP cung cấp hiệu suất ổn định và đáng tin cậy trong môi trường làm việc khắc nghiệt và yêu cầu cao về kiểm soát áp suất.', 3, 3, 1, 80000.0000, N'images/products/20/df.jpg', 6423, 222, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (21, N'van-dieu-ap-reca-21', N'Van điều áp Reca', N'Van điều áp;Reca', N'Van điều áp đảm bảo đường truyền gas ổn định, an toàn', N'VAN ĐIỀU ÁP RECA là một thành phần quan trọng trong hệ thống gas, được thiết kế để điều chỉnh áp suất gas và bảo vệ hệ thống khỏi những biến động áp suất không mong muốn.

Thiết bị này tự động điều chỉnh áp suất vào mức ổn định và an toàn, đảm bảo rằng các thiết bị và đường ống gas hoạt động hiệu quả và ổn định. VAN ĐIỀU ÁP RECA giúp ngăn chặn các vấn đề có thể xảy ra do áp suất gas biến đổi không đều, như sự cố về áp suất quá cao hoặc quá thấp.

Thiết bị này được chế tạo từ các vật liệu chất lượng cao và được sản xuất với công nghệ tiên tiến, đảm bảo độ bền và độ tin cậy cao trong môi trường làm việc khắc nghiệt. VAN ĐIỀU ÁP RECA cung cấp hiệu suất ổn định và đáng tin cậy trong mọi điều kiện hoạt động.', 3, 3, 1, 65000.0000, N'images/products/21/df.jpg', 3423, 43, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (22, N'vong-chan-gio-the-he-moi-22', N'VÒNG CHẮN GIÓ THẾ HỆ MỚI', N'chắn gió', N'Giảm thiểu tối đa tác động của gió, giữ cho không gian bên trong vệt gió luôn yên tĩnh và thoải mái.', N'Vòng kiềng chắn gió thế hệ mới, sử dụng cho bếp gas mini của NaMilux.:Khả nặng chịu tải lên đến 25kg:Giúp che chắn ngọn lửa không bị gió khi ở ngoài trời.:Giúp tăng hiệu suất đốt (giảm thoát nhiệt) tiết kiệm thời gian nấu lên đến 36%. Và đồng thời tiết kiệm gas 36%:Lưu ý: chỉ sử dụng môi trường ngoài trời nơi có gió lùa. Nếu sử dụng trong phòng thì nhiệt độ tụ quá cao có thể ảnh hưởng đến độ bền của đầu đốt.', 3, 4, 1, 100000.0000, N'images/products/22/df.jpg', 56365, 3256, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (23, N'den-kho-na-197-23', N'Đèn khò NA-197', N'đèn khò;máy khò;NA-197', N'Đèn khò đa năng dùng để hàn gắn, nung nóng, nấu ăn', N'Loại sản phẩm	Đèn khò gas:Model	NA -197:Gas sử dụng	Lon gas butane:Công suất	1.8 kW (1500 kcal/h)"Lượng gas tiêu thụ	132 g/h"Nhiệt độ đầu khò	Lên đến 1200℃:Trọng lượng	153g:Kích thước	184 x 64 x 40 mm', 3, 4, 1, 200000.0000, N'images/products/23/df.jpg', 1239, 53, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (24, N'den-kho-ts1719rn-24', N'Đèn khò TS1719RN', N'đèn khò;máy khò;TS1719RN', N'Đèn khò đa năng dùng để hàn gắn, nung nóng, nấu ăn', N'Nấu ăn và phục vụ ăn uống:Đốt côn trùng, cỏ, rác.:Nấu cháy nhựa, uốn ống nhựa:Các công việc tạo hình trên kim loại:Loại sản phẩm	Đèn khò gas:Model	TS1719RN:Gas sử dụng	Lon gas butane:Công suất	1.4 kW (1200 Kcal/giờ):Lượng gas tiêu thụ	100g/giờ:Nhiệt độ đầu khò	>1200℃', 3, 4, 1, 200000.0000, N'images/products/24/df.jpg', 3322, 433, CAST(N'1969-04-22T08:37:27.990' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (25, N'bep-gas-namilux-nh-041pf-25', N'Bếp gas Namilux NH-041PF', N'Namilux NH-041PF', N'Bếp gas đơn, nhỏ gọn, tiết kiệm không gian', N'Trang bị van Inlinecut, ngắt gas tự động, an toàn khi dùng. Hệ thống đánh lửa Magneto cho lửa nhanh, tiết kiệm gas. Đầu đốt bằng hợp kim Nhôm có độ bền cao. Kiềng và vòng chắn gió bằng Inox, bền bỉ', 2, 4, 1, 299000.0000, N'images/products/25/df.jpg', 48, 2, CAST(N'2023-05-13T07:00:00.000' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (26, N'bap-gas-mini-namilux-nh-p3212ps-26', N'Bếp gas mini Namilux NH-P3212PS', N'Namilux NH-P3212PS', N'Thân bếp được thiết kế thông gió 4 mặt ngăn ngừa nguy cơ gây nổ lon gas', N'Nắp đậy lon gas và kiềng có hệ thống dẫn nước chống nước không tràn vào lon gas. Kích thước bếp bằng 1/2 bếp mini thông thường, phù hợp khi sử dụng trên bàn ăn nhỏ. Hệ thống đầu đốt có lưới điều tiết gas nâng cao hiệu suất, tiết kiệm thời gian đun nấu', 2, 4, 1, 340000.0000, N'images/products/26/df.jpg', 98, 500, CAST(N'2022-07-20T09:30:10.460' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (27, N'bep-khe-na-196-27', N'BẾP KHÈ NA-196', N'NA-196', N'Là sản phẩm bếp khè đầu tiên của NaMilux. Đầu đốt đúc gang nên độ bền cực kỳ cao.', N'Ngoài ra, bếp khè NA-196 có tính năng đánh lửa tự động, và điều chỉnh lửa bằng 1 tay. Bếp khè đang trở thành 1 sản phẩm thông dụng với các hộ gia đình vì Công suất cao, Nấu nhanh, Giá thành rẻ, Dễ vệ sinh', 2, 4, 1, 599000.0000, N'images/products/27/df.jpg', 10, 20, CAST(N'2021-05-13T09:50:42.460' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (28, N'bep-ga-doi-rinnai-rv-mc27be-28', N'Bếp ga đôi Rinnai RV-MC27BE', N'RV-MC27BE', N'Bếp ga đôi vận hành với lượng ga tiêu thụ 0.42 kg/h/lò.', N'Bếp ga Rinnai RV-MC27BE là loại bếp cơ bản với 2 vùng nấu dễ sử dụng, trang bị hệ thống đánh lửa Magneto bền và dễ dùng đáp ứng nhu cầu nấu nướng cơ bản của người dùng.', 2, 2, 1, 1030000.0000, N'images/products/28/df.jpg', 50, 2, CAST(N'2023-08-30T11:20:00.460' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (29, N'bep-ga-doi-rinnai-rv-715slim-29', N'Bếp ga đôi Rinnai RV-715Slim', N'RV-715Slim', N'Thiết kế hiện đại, màu đen sang trọng làm nổi bật không gian bếp.', N'Bếp ga Rinnai RV-715Slim(GL-SC) thiết kế hiện đại, màu đen sang trọng, hệ thống đánh lửa Magneto có độ bền cao, sản phẩm của thương hiệu Nhật Bản, uy tín, an toàn khi sử dụng.', 2, 5, 1, 2570000.0000, N'images/products/29/df.jpg', 16, 20, CAST(N'2022-07-20T12:50:00.000' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (30, N'bep-cong-nghiep-sao-rinnai-tl-289ri-30', N'Bếp Công Nghiệp Sào Rinnai TL 289RI', N'Rinnai TL 289RI', N'đánh lửa cở học ( Magneto )', N'khung sườn bằng gang đúc nguyên khối, kiềng đầu đốt họng đốt bằng gang, điều khiển nút xoay', 2, 5, 1, 950000.0000, N'images/products/30/df.jpg', 8, 20, CAST(N'2023-05-13T09:50:42.460' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (31, N'bep-gas-doi-de-ban-mat-kinh-windo-719gl-a-31', N'BẾP GAS ĐÔI ĐỂ BÀN MẶT KÍNH WINDO 719GL-A', N'WINDO 719GL-A', N'Thiết kế mặt kính chịu lực, chịu nhiệt tốt', N'Chất liệu kính hạn chế tối đa tình trạng nứt, vỡ bề mặt khi có tác động từ bên ngoài. Đồng thời, mặt kính hạn chế chống xước và bám dính thực phẩm, sau khi đun nấu chỉ cần lấy khăn ẩm nhẹ nhàng lau là mặt bếp lại sáng bóng như mới.', 2, 6, 1, 499000.0000, N'images/products/31/df.jpg', 48, 2, CAST(N'2020-04-13T06:30:00.000' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (32, N'bep-doi-mat-kinh-de-ban-windo-717-2-32', N'Bếp đôi mặt kính để bàn Windo 717-2', N'Windo 717-2', N'Mặt bếp chống trầy tốt, chịu lực, chịu nhiệt tốt', N'Sử dụng ống điếu (thiết kế theo nguyên lý khí động học) đạt tiêu chuẩn JIA (Japan), hiệu suất đốt tối ưu, tiết kiệm 10% gas tiêu thụ', 2, 6, 1, 449000.0000, N'images/products/32/df.jpg', 50, 2, CAST(N'2023-05-13T20:45:00.000' AS DateTime), 1, 6)
INSERT [dbo].[Product] ([productID], [code], [name], [keywords], [shortDescription], [description], [categoryID], [supplierId], [isActive], [unitPrice], [image], [stockQuantity], [unitOnOrders], [createdDate], [createdBy], [limit]) VALUES (33, N'bep-gas-khe-cao-cap-windo-6b-33', N'BẾP GAS KHÈ CAO CẤP WINDO 6B', N'WINDO 6B', N'Toàn thân bằng gang đúc nguyên khối, Bộ hòa khí ngoại nhập', N'<p>cho hiệu năng cao c&ugrave;ng lửa to v&agrave; mạnh, gi&uacute;p việc chế biến c&aacute;c m&oacute;n &Aacute;, m&oacute;n x&agrave;o với lửa lớn, m&oacute;n chi&ecirc;n, nước sốt&hellip; trở n&ecirc;n đơn giản hơn bao giờ hết. Mặc d&ugrave; cho hiệu suất cao với lửa nhưng bếp ti&ecirc;u tốn gas kh&ocirc;ng đ&aacute;ng kể chỉ 720g/h. Sử dụng hệ thống đ&aacute;nh lửa Magneto ti&ecirc;n tiến, l&ecirc;n lửa cực nhanh v&agrave; kh&ocirc;ng phải lo thay pin bất tiện như đ&aacute;nh lửa IC. Số v&ograve;ng lửa c&oacute; nhiều mức để người d&ugrave;ng c&oacute; thể t&ugrave;y &yacute; chỉnh theo nhu cầu nấu nướng. Sử dụng bếp gas c&ocirc;ng nghiệp l&agrave; giải ph&aacute;p tiết kiệm chi ph&iacute;, tiện lợi, an to&agrave;n (nếu sử dụng đ&uacute;ng c&aacute;ch) cho c&aacute;c nh&agrave; h&agrave;ng, qu&aacute;n ăn.</p>
', 2, 6, 1, 898000.0000, N'images/products/33/df.jpg', 10, 20, CAST(N'2023-05-13T15:35:00.000' AS DateTime), 1, 6)
SET IDENTITY_INSERT [dbo].[Product] OFF
GO
SET IDENTITY_INSERT [dbo].[ProductImg] ON 

INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (1, 1, N'images/product_detail/1_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (2, 1, N'images/product_detail/1_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (3, 2, N'images/product_detail/2_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (4, 2, N'images/product_detail/2_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (5, 3, N'images/product_detail/3_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (6, 3, N'images/product_detail/3_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (7, 4, N'images/product_detail/4_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (8, 4, N'images/product_detail/4_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (9, 5, N'images/product_detail/5_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (10, 5, N'images/product_detail/5_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (11, 6, N'images/product_detail/6_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (12, 6, N'images/product_detail/6_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (13, 7, N'images/product_detail/7_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (14, 7, N'images/product_detail/7_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (15, 8, N'images/product_detail/8_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (16, 8, N'images/product_detail/8_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (17, 9, N'images/product_detail/9_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (18, 9, N'images/product_detail/9_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (19, 10, N'images/product_detail/10_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (20, 10, N'images/product_detail/10_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (21, 11, N'images/product_detail/11_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (22, 11, N'images/product_detail/11_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (23, 12, N'images/product_detail/12_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (24, 12, N'images/product_detail/12_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (25, 13, N'images/product_detail/13_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (26, 13, N'images/product_detail/13_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (27, 14, N'images/product_detail/14_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (28, 14, N'images/product_detail/14_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (29, 15, N'images/product_detail/15_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (30, 15, N'images/product_detail/15_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (31, 16, N'images/product_detail/16_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (32, 16, N'images/product_detail/16_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (33, 17, N'images/product_detail/17_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (34, 17, N'images/product_detail/17_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (35, 18, N'images/product_detail/18_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (36, 18, N'images/product_detail/18_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (37, 19, N'images/product_detail/19_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (38, 19, N'images/product_detail/19_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (39, 20, N'images/product_detail/20_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (40, 20, N'images/product_detail/20_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (41, 21, N'images/product_detail/21_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (42, 21, N'images/product_detail/21_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (43, 22, N'images/product_detail/22_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (44, 22, N'images/product_detail/22_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (45, 23, N'images/product_detail/23_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (46, 23, N'images/product_detail/23_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (47, 24, N'images/product_detail/24_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (48, 24, N'images/product_detail/24_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (49, 25, N'images/product_detail/25_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (50, 25, N'images/product_detail/25_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (51, 26, N'images/product_detail/26_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (52, 26, N'images/product_detail/26_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (53, 27, N'images/product_detail/27_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (54, 27, N'images/product_detail/27_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (55, 28, N'images/product_detail/28_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (56, 28, N'images/product_detail/28_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (57, 29, N'images/product_detail/29_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (58, 29, N'images/product_detail/29_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (59, 30, N'images/product_detail/30_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (60, 30, N'images/product_detail/30_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (61, 31, N'images/product_detail/31_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (62, 31, N'images/product_detail/31_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (63, 32, N'images/product_detail/32_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (64, 32, N'images/product_detail/32_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (65, 33, N'images/product_detail/33_1.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (66, 33, N'images/product_detail/33_2.jpg')
INSERT [dbo].[ProductImg] ([imgID], [productID], [Path]) VALUES (67, 33, N'sunrise-sunset.jpg')
SET IDENTITY_INSERT [dbo].[ProductImg] OFF
GO
SET IDENTITY_INSERT [dbo].[ReceiverType] ON 

INSERT [dbo].[ReceiverType] ([ReceiverTypeId], [name]) VALUES (1, N'Shipper')
INSERT [dbo].[ReceiverType] ([ReceiverTypeId], [name]) VALUES (2, N'Supplier')
SET IDENTITY_INSERT [dbo].[ReceiverType] OFF
GO
SET IDENTITY_INSERT [dbo].[Role] ON 

INSERT [dbo].[Role] ([roleID], [code], [name], [description]) VALUES (1, N'Admin', N'Administrator', N'Manager webapp')
INSERT [dbo].[Role] ([roleID], [code], [name], [description]) VALUES (2, N'Staff', N'Staff', N'Website employee')
SET IDENTITY_INSERT [dbo].[Role] OFF
GO
SET IDENTITY_INSERT [dbo].[SerialNumbers] ON 

INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (1, 1, N'SN0001')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (2, 1, N'SN0002')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (3, 1, N'SN0003')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (4, 1, N'SN0004')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (5, 1, N'SN0005')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (6, 1, N'SN0006')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (7, 1, N'SN0007')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (8, 1, N'SN0008')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (9, 1, N'SN0009')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (10, 1, N'SN0010')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (11, 2, N'SN0011')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (12, 2, N'SN0012')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (13, 2, N'SN0013')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (14, 2, N'SN0014')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (15, 2, N'SN0015')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (16, 2, N'SN0016')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (17, 2, N'SN0017')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (18, 2, N'SN0018')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (19, 2, N'SN0019')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (20, 2, N'SN0020')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (21, 3, N'SN0021')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (22, 3, N'SN0022')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (23, 3, N'SN0023')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (24, 3, N'SN0024')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (25, 3, N'SN0025')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (26, 3, N'SN0026')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (27, 3, N'SN0027')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (28, 3, N'SN0028')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (29, 3, N'SN0029')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (30, 3, N'SN0030')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (31, 4, N'SN0031')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (32, 4, N'SN0032')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (33, 4, N'SN0033')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (34, 4, N'SN0034')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (35, 4, N'SN0035')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (36, 4, N'SN0036')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (37, 4, N'SN0037')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (38, 4, N'SN0038')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (39, 4, N'SN0039')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (40, 4, N'SN0040')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (41, 5, N'SN0041')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (42, 5, N'SN0042')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (43, 5, N'SN0043')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (44, 5, N'SN0044')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (45, 5, N'SN0045')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (46, 5, N'SN0046')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (47, 5, N'SN0047')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (48, 5, N'SN0048')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (49, 5, N'SN0049')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (50, 5, N'SN0050')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (51, 6, N'SN0051')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (52, 6, N'SN0052')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (53, 6, N'SN0053')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (54, 6, N'SN0054')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (55, 6, N'SN0055')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (56, 6, N'SN0056')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (57, 6, N'SN0057')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (58, 6, N'SN0058')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (59, 6, N'SN0059')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (60, 6, N'SN0060')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (61, 7, N'SN0061')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (62, 7, N'SN0062')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (63, 7, N'SN0063')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (64, 7, N'SN0064')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (65, 7, N'SN0065')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (66, 7, N'SN0066')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (67, 7, N'SN0067')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (68, 7, N'SN0068')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (69, 7, N'SN0069')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (70, 7, N'SN0070')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (71, 8, N'SN0071')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (72, 8, N'SN0072')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (73, 8, N'SN0073')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (74, 8, N'SN0074')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (75, 8, N'SN0075')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (76, 8, N'SN0076')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (77, 8, N'SN0077')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (78, 8, N'SN0078')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (79, 8, N'SN0079')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (80, 8, N'SN0080')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (81, 9, N'SN0081')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (82, 9, N'SN0082')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (83, 9, N'SN0083')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (84, 9, N'SN0084')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (85, 9, N'SN0085')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (86, 9, N'SN0086')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (87, 9, N'SN0087')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (88, 9, N'SN0088')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (89, 9, N'SN0089')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (90, 9, N'SN0090')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (91, 10, N'SN0091')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (92, 10, N'SN0092')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (93, 10, N'SN0093')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (94, 10, N'SN0094')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (95, 10, N'SN0095')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (96, 10, N'SN0096')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (97, 10, N'SN0097')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (98, 10, N'SN0098')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (99, 10, N'SN0099')
GO
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (100, 10, N'SN0100')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (101, 11, N'SN0101')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (102, 11, N'SN0102')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (103, 11, N'SN0103')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (104, 11, N'SN0104')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (105, 11, N'SN0105')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (106, 11, N'SN0106')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (107, 11, N'SN0107')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (108, 11, N'SN0108')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (109, 11, N'SN0109')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (110, 11, N'SN0110')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (111, 12, N'SN0111')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (112, 12, N'SN0112')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (113, 12, N'SN0113')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (114, 12, N'SN0114')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (115, 12, N'SN0115')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (116, 12, N'SN0116')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (117, 12, N'SN0117')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (118, 12, N'SN0118')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (119, 12, N'SN0119')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (120, 12, N'SN0120')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (121, 13, N'SN0121')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (122, 13, N'SN0122')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (123, 13, N'SN0123')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (124, 13, N'SN0124')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (125, 13, N'SN0125')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (126, 13, N'SN0126')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (127, 13, N'SN0127')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (128, 13, N'SN0128')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (129, 13, N'SN0129')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (130, 13, N'SN0130')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (131, 14, N'SN0131')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (132, 14, N'SN0132')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (133, 14, N'SN0133')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (134, 14, N'SN0134')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (135, 14, N'SN0135')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (136, 14, N'SN0136')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (137, 14, N'SN0137')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (138, 14, N'SN0138')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (139, 14, N'SN0139')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (140, 14, N'SN0140')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (141, 15, N'SN0141')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (142, 15, N'SN0142')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (143, 15, N'SN0143')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (144, 15, N'SN0144')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (145, 15, N'SN0145')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (146, 15, N'SN0146')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (147, 15, N'SN0147')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (148, 15, N'SN0148')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (149, 15, N'SN0149')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (150, 15, N'SN0150')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (151, 16, N'SN0151')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (152, 16, N'SN0152')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (153, 16, N'SN0153')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (154, 16, N'SN0154')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (155, 16, N'SN0155')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (156, 16, N'SN0156')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (157, 16, N'SN0157')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (158, 16, N'SN0158')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (159, 16, N'SN0159')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (160, 16, N'SN0160')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (161, 17, N'SN0161')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (162, 17, N'SN0162')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (163, 17, N'SN0163')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (164, 17, N'SN0164')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (165, 17, N'SN0165')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (166, 17, N'SN0166')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (167, 17, N'SN0167')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (168, 17, N'SN0168')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (169, 17, N'SN0169')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (170, 17, N'SN0170')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (171, 18, N'SN0171')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (172, 18, N'SN0172')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (173, 18, N'SN0173')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (174, 18, N'SN0174')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (175, 18, N'SN0175')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (176, 18, N'SN0176')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (177, 18, N'SN0177')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (178, 18, N'SN0178')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (179, 18, N'SN0179')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (180, 18, N'SN0180')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (181, 19, N'SN0181')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (182, 19, N'SN0182')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (183, 19, N'SN0183')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (184, 19, N'SN0184')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (185, 19, N'SN0185')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (186, 19, N'SN0186')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (187, 19, N'SN0187')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (188, 19, N'SN0188')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (189, 19, N'SN0189')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (190, 19, N'SN0190')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (191, 20, N'SN0191')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (192, 20, N'SN0192')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (193, 20, N'SN0193')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (194, 20, N'SN0194')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (195, 20, N'SN0195')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (196, 20, N'SN0196')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (197, 20, N'SN0197')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (198, 20, N'SN0198')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (199, 20, N'SN0199')
GO
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (200, 20, N'SN0200')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (201, 21, N'SN0201')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (202, 21, N'SN0202')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (203, 21, N'SN0203')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (204, 21, N'SN0204')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (205, 21, N'SN0205')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (206, 21, N'SN0206')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (207, 21, N'SN0207')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (208, 21, N'SN0208')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (209, 21, N'SN0209')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (210, 21, N'SN0210')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (211, 22, N'SN0211')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (212, 22, N'SN0212')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (213, 22, N'SN0213')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (214, 22, N'SN0214')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (215, 22, N'SN0215')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (216, 22, N'SN0216')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (217, 22, N'SN0217')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (218, 22, N'SN0218')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (219, 22, N'SN0219')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (220, 22, N'SN0220')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (221, 23, N'SN0221')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (222, 23, N'SN0222')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (223, 23, N'SN0223')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (224, 23, N'SN0224')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (225, 23, N'SN0225')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (226, 23, N'SN0226')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (227, 23, N'SN0227')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (228, 23, N'SN0228')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (229, 23, N'SN0229')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (230, 23, N'SN0230')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (231, 24, N'SN0231')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (232, 24, N'SN0232')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (233, 24, N'SN0233')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (234, 24, N'SN0234')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (235, 24, N'SN0235')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (236, 24, N'SN0236')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (237, 24, N'SN0237')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (238, 24, N'SN0238')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (239, 24, N'SN0239')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (240, 24, N'SN0240')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (241, 25, N'SN0241')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (242, 25, N'SN0242')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (243, 25, N'SN0243')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (244, 25, N'SN0244')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (245, 25, N'SN0245')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (246, 25, N'SN0246')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (247, 25, N'SN0247')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (248, 25, N'SN0248')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (249, 25, N'SN0249')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (250, 25, N'SN0250')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (251, 26, N'SN0251')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (252, 26, N'SN0252')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (253, 26, N'SN0253')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (254, 26, N'SN0254')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (255, 26, N'SN0255')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (256, 26, N'SN0256')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (257, 26, N'SN0257')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (258, 26, N'SN0258')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (259, 26, N'SN0259')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (260, 26, N'SN0260')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (261, 27, N'SN0261')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (262, 27, N'SN0262')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (263, 27, N'SN0263')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (264, 27, N'SN0264')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (265, 27, N'SN0265')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (266, 27, N'SN0266')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (267, 27, N'SN0267')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (268, 27, N'SN0268')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (269, 27, N'SN0269')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (270, 27, N'SN0270')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (271, 28, N'SN0271')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (272, 28, N'SN0272')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (273, 28, N'SN0273')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (274, 28, N'SN0274')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (275, 28, N'SN0275')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (276, 28, N'SN0276')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (277, 28, N'SN0277')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (278, 28, N'SN0278')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (279, 28, N'SN0279')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (280, 28, N'SN0280')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (281, 29, N'SN0281')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (282, 29, N'SN0282')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (283, 29, N'SN0283')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (284, 29, N'SN0284')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (285, 29, N'SN0285')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (286, 29, N'SN0286')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (287, 29, N'SN0287')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (288, 29, N'SN0288')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (289, 29, N'SN0289')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (290, 29, N'SN0290')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (291, 30, N'SN0291')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (292, 30, N'SN0292')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (293, 30, N'SN0293')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (294, 30, N'SN0294')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (295, 30, N'SN0295')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (296, 30, N'SN0296')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (297, 30, N'SN0297')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (298, 30, N'SN0298')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (299, 30, N'SN0299')
GO
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (300, 30, N'SN0300')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (301, 31, N'SN0301')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (302, 31, N'SN0302')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (303, 31, N'SN0303')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (304, 31, N'SN0304')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (305, 31, N'SN0305')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (306, 31, N'SN0306')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (307, 31, N'SN0307')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (308, 31, N'SN0308')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (309, 31, N'SN0309')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (310, 31, N'SN0310')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (311, 32, N'SN0311')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (312, 32, N'SN0312')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (313, 32, N'SN0313')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (314, 32, N'SN0314')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (315, 32, N'SN0315')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (316, 32, N'SN0316')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (317, 32, N'SN0317')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (318, 32, N'SN0318')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (319, 32, N'SN0319')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (320, 32, N'SN0320')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (321, 33, N'SN0321')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (322, 33, N'SN0322')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (323, 33, N'SN0323')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (324, 33, N'SN0324')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (325, 33, N'SN0325')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (326, 33, N'SN0326')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (327, 33, N'SN0327')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (328, 33, N'SN0328')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (329, 33, N'SN0329')
INSERT [dbo].[SerialNumbers] ([SerialID], [ProductID], [SerialNumber]) VALUES (330, 33, N'SN0330')
SET IDENTITY_INSERT [dbo].[SerialNumbers] OFF
GO
SET IDENTITY_INSERT [dbo].[Shipments] ON 

INSERT [dbo].[Shipments] ([shipmentID], [companyName], [email], [phone], [status], [createdDate]) VALUES (1, N'J&T Express', N'JTExpress@gmail.com', N'1900 1088', 1, CAST(N'2024-07-14T10:47:28.173' AS DateTime))
INSERT [dbo].[Shipments] ([shipmentID], [companyName], [email], [phone], [status], [createdDate]) VALUES (2, N'NINJA VAN', N'NINJAVAN@gmail.com', N'1900 886 877', 1, CAST(N'2024-07-14T10:47:28.173' AS DateTime))
INSERT [dbo].[Shipments] ([shipmentID], [companyName], [email], [phone], [status], [createdDate]) VALUES (3, N'Ahamove', N'Ahamove@gmail.com', N'1900 545411', 1, CAST(N'2024-07-14T10:47:28.177' AS DateTime))
INSERT [dbo].[Shipments] ([shipmentID], [companyName], [email], [phone], [status], [createdDate]) VALUES (4, N'Ship60', N'Ship60@gmail.com', N'1900 6362090', 1, CAST(N'2024-07-14T10:47:28.177' AS DateTime))
INSERT [dbo].[Shipments] ([shipmentID], [companyName], [email], [phone], [status], [createdDate]) VALUES (5, N'GHN Express', N'GHNExpress@gmail.com', N'1900 636677', 1, CAST(N'2024-07-14T10:47:28.177' AS DateTime))
SET IDENTITY_INSERT [dbo].[Shipments] OFF
GO
SET IDENTITY_INSERT [dbo].[Supplier] ON 

INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (1, N'PV GAS', 1, CAST(N'2024-07-14T10:47:28.180' AS DateTime), N'pvgas@pvgas.com.vn', N'+84 28 3781 6777', N'https://www.pvgas.com.vn', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (2, N'Gas Gia Đình', 1, CAST(N'2024-07-14T10:47:28.180' AS DateTime), N'gasgiadinh.vn@gmail.com', N'(028) 37.155.166', N'http://gasgiadinh.vn', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (3, N'VT Gas', 1, CAST(N'2024-07-14T10:47:28.180' AS DateTime), N' info@vt-gas.com.vn', N'061. 383 1988', N'http://www.vtgas.com.vn/', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (4, N'NaMilux', 1, CAST(N'2024-07-14T10:47:28.187' AS DateTime), N'info@namilux.com', N'0389764184', N'https://namilux.com/vi/home', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (5, N'Rinnai', 1, CAST(N'2024-07-14T10:47:28.187' AS DateTime), N'info@rinnaivietnamofficial@gmail.com', N'(028) 6292 8184', N'https://rinnai.com.vn', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
INSERT [dbo].[Supplier] ([supplierId], [companyName], [status], [createdDate], [email], [phone], [homePage], [password]) VALUES (6, N'Windo', 1, CAST(N'2024-07-14T10:47:28.187' AS DateTime), N'windothienthanh@gmail.com', N'0908492923', N'https://windo.vn', N'+wHu5XwLRYxRgmDhl6i1kJiEgb4=')
SET IDENTITY_INSERT [dbo].[Supplier] OFF
GO
SET IDENTITY_INSERT [dbo].[Warranties] ON 

INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (1, 31, CAST(N'2024-07-15T00:00:00.000' AS DateTime), NULL, NULL, 2, NULL, N'no-binh-gas-2.jpg,sky.jpg,sky2.jpg', N'Nổ rồi', N'unaccept', NULL)
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (2, 41, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg,sky.jpg,sky2.jpg', N'Bình nổ', N'done', CAST(N'2024-07-27T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (3, 41, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'IoT-la-gi.jpg,mas.jpg,no-binh-gas-2.jpg,sky.jpg', N'ok', N'done', CAST(N'2024-07-26T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (4, 281, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg,sky.jpg', N'Van gas không ổn định', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (5, 161, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg,sky.jpg,sky2.jpg', N'Bình Gas nổ', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (6, 291, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg', N'Nổ đùng đoàng', N'done', CAST(N'2024-07-17T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (7, 111, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'dream.jpg', N'Không lên gas', N'done', CAST(N'2024-07-19T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (8, 282, CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), CAST(N'2024-07-16T00:00:00.000' AS DateTime), 2, 1, N'IoT-la-gi.jpg', N'Lựu đạn nè né đi', N'done', CAST(N'2024-07-19T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (9, 81, CAST(N'2024-07-17T00:00:00.000' AS DateTime), CAST(N'2024-07-17T00:00:00.000' AS DateTime), CAST(N'2024-07-17T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg', N'Nổ rồi các cháu ơi nổ rồi', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (10, 42, CAST(N'2024-07-17T00:00:00.000' AS DateTime), CAST(N'2024-07-17T00:00:00.000' AS DateTime), CAST(N'2024-07-17T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg', N'Nổ nổ nổ', N'done', CAST(N'2024-07-18T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (11, 301, CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg', N'Nổ rồi', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (12, 251, CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg', N'Nổ bình gas', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
INSERT [dbo].[Warranties] ([WarrantyID], [SerialID], [CreateDate], [ReciverDate], [DoneDate], [CustomerID], [Process_By], [ProofImg], [Notes], [Status], [expectedDate]) VALUES (13, 241, CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), CAST(N'2024-07-18T00:00:00.000' AS DateTime), 2, 1, N'no-binh-gas-2.jpg,sky.jpg', N'Nổ gas', N'done', CAST(N'2024-07-20T00:00:00.000' AS DateTime))
SET IDENTITY_INSERT [dbo].[Warranties] OFF
GO
SET ANSI_PADDING ON
GO
/****** Object:  Index [idx_CouponCode]    Script Date: 22/07/2024 10:12:44 CH ******/
CREATE UNIQUE NONCLUSTERED INDEX [idx_CouponCode] ON [dbo].[Discount]
(
	[discountCode] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, DROP_EXISTING = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
GO
SET ANSI_PADDING ON
GO
/****** Object:  Index [UQ_SerialNumber]    Script Date: 22/07/2024 10:12:44 CH ******/
ALTER TABLE [dbo].[SerialNumbers] ADD  CONSTRAINT [UQ_SerialNumber] UNIQUE NONCLUSTERED 
(
	[SerialNumber] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, SORT_IN_TEMPDB = OFF, IGNORE_DUP_KEY = OFF, ONLINE = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
GO
ALTER TABLE [dbo].[Administrator]  WITH CHECK ADD  CONSTRAINT [FK_Administrator_Role] FOREIGN KEY([roleID])
REFERENCES [dbo].[Role] ([roleID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Administrator] CHECK CONSTRAINT [FK_Administrator_Role]
GO
ALTER TABLE [dbo].[DiscountUsage]  WITH CHECK ADD FOREIGN KEY([discountID])
REFERENCES [dbo].[Discount] ([discountID])
GO
ALTER TABLE [dbo].[DiscountUsage]  WITH CHECK ADD FOREIGN KEY([orderID])
REFERENCES [dbo].[Order] ([orderID])
GO
ALTER TABLE [dbo].[NotificationReceiver]  WITH CHECK ADD FOREIGN KEY([notiID])
REFERENCES [dbo].[Notification] ([notiID])
GO
ALTER TABLE [dbo].[NotificationReceiver]  WITH CHECK ADD FOREIGN KEY([receiverType])
REFERENCES [dbo].[ReceiverType] ([ReceiverTypeId])
GO
ALTER TABLE [dbo].[Order]  WITH CHECK ADD  CONSTRAINT [FK_Order_Customer] FOREIGN KEY([customerID])
REFERENCES [dbo].[Customer] ([customerID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Order] CHECK CONSTRAINT [FK_Order_Customer]
GO
ALTER TABLE [dbo].[Order]  WITH CHECK ADD  CONSTRAINT [FK_Order_Shipments] FOREIGN KEY([shipVia])
REFERENCES [dbo].[Shipments] ([shipmentID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Order] CHECK CONSTRAINT [FK_Order_Shipments]
GO
ALTER TABLE [dbo].[OrderDetails]  WITH CHECK ADD  CONSTRAINT [FK_OrderDetails_Order] FOREIGN KEY([orderID])
REFERENCES [dbo].[Order] ([orderID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[OrderDetails] CHECK CONSTRAINT [FK_OrderDetails_Order]
GO
ALTER TABLE [dbo].[OrderDetails]  WITH CHECK ADD  CONSTRAINT [FK_OrderDetails_Product] FOREIGN KEY([productID])
REFERENCES [dbo].[Product] ([productID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[OrderDetails] CHECK CONSTRAINT [FK_OrderDetails_Product]
GO
ALTER TABLE [dbo].[OrderDetails]  WITH CHECK ADD  CONSTRAINT [FK_OrderDetails_SerialNumbers] FOREIGN KEY([serialID])
REFERENCES [dbo].[SerialNumbers] ([SerialID])
GO
ALTER TABLE [dbo].[OrderDetails] CHECK CONSTRAINT [FK_OrderDetails_SerialNumbers]
GO
ALTER TABLE [dbo].[OrderHistory]  WITH CHECK ADD  CONSTRAINT [FK_OrderHistory_Orders] FOREIGN KEY([orderID])
REFERENCES [dbo].[Order] ([orderID])
GO
ALTER TABLE [dbo].[OrderHistory] CHECK CONSTRAINT [FK_OrderHistory_Orders]
GO
ALTER TABLE [dbo].[Payments]  WITH CHECK ADD FOREIGN KEY([OrderID])
REFERENCES [dbo].[Order] ([orderID])
GO
ALTER TABLE [dbo].[Post]  WITH CHECK ADD  CONSTRAINT [FK_Post_Admin] FOREIGN KEY([administratorID])
REFERENCES [dbo].[Administrator] ([administratorID])
GO
ALTER TABLE [dbo].[Post] CHECK CONSTRAINT [FK_Post_Admin]
GO
ALTER TABLE [dbo].[Post]  WITH CHECK ADD  CONSTRAINT [FK_Post_PostCategory] FOREIGN KEY([PostCategoryID])
REFERENCES [dbo].[PostCategory] ([PostCategoryID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Post] CHECK CONSTRAINT [FK_Post_PostCategory]
GO
ALTER TABLE [dbo].[Product]  WITH CHECK ADD  CONSTRAINT [FK_Product_Administrator] FOREIGN KEY([createdBy])
REFERENCES [dbo].[Administrator] ([administratorID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Product] CHECK CONSTRAINT [FK_Product_Administrator]
GO
ALTER TABLE [dbo].[Product]  WITH CHECK ADD  CONSTRAINT [FK_Product_Category] FOREIGN KEY([categoryID])
REFERENCES [dbo].[Category] ([categoryID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Product] CHECK CONSTRAINT [FK_Product_Category]
GO
ALTER TABLE [dbo].[Product]  WITH CHECK ADD  CONSTRAINT [FK_Product_Supplier] FOREIGN KEY([supplierId])
REFERENCES [dbo].[Supplier] ([supplierId])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[Product] CHECK CONSTRAINT [FK_Product_Supplier]
GO
ALTER TABLE [dbo].[ProductImg]  WITH CHECK ADD  CONSTRAINT [FK_ProductImg_Product] FOREIGN KEY([productID])
REFERENCES [dbo].[Product] ([productID])
ON DELETE CASCADE
GO
ALTER TABLE [dbo].[ProductImg] CHECK CONSTRAINT [FK_ProductImg_Product]
GO
ALTER TABLE [dbo].[SerialNumbers]  WITH CHECK ADD FOREIGN KEY([ProductID])
REFERENCES [dbo].[Product] ([productID])
GO
ALTER TABLE [dbo].[Warranties]  WITH CHECK ADD  CONSTRAINT [FK_Warranties_Administrator] FOREIGN KEY([Process_By])
REFERENCES [dbo].[Administrator] ([administratorID])
GO
ALTER TABLE [dbo].[Warranties] CHECK CONSTRAINT [FK_Warranties_Administrator]
GO
ALTER TABLE [dbo].[Warranties]  WITH CHECK ADD  CONSTRAINT [FK_Warranties_Customers] FOREIGN KEY([CustomerID])
REFERENCES [dbo].[Customer] ([customerID])
GO
ALTER TABLE [dbo].[Warranties] CHECK CONSTRAINT [FK_Warranties_Customers]
GO
ALTER TABLE [dbo].[Warranties]  WITH CHECK ADD  CONSTRAINT [FK_Warranties_SerialNumbers] FOREIGN KEY([SerialID])
REFERENCES [dbo].[SerialNumbers] ([SerialID])
GO
ALTER TABLE [dbo].[Warranties] CHECK CONSTRAINT [FK_Warranties_SerialNumbers]
GO
ALTER TABLE [dbo].[Discount]  WITH CHECK ADD CHECK  (([DiscountType]='FIXED' OR [DiscountType]='PERCENT'))
GO
USE [master]
GO
ALTER DATABASE [Gas_Management_230724] SET  READ_WRITE 
GO