全国省市区县最全最新数据表(数据来源谷歌)
因为工作项目需求,需要一个城市县区数据表,上网搜了下,基本都不全,所以花了3天时间整理了一遍.
省市区县数据来源Google地图. (包括34个省 , 371个市, 2824个县区)代码如下:
/**********创建省级表**********/
CREATE TABLE T_Province
(
ProID INT IDENTITY(1,1) PRIMARY KEY, --省份主键
ProName NVARCHAR(50) NOT NULL, --省份名称
ProSort INT, --省份排序
ProRemark NVARCHAR(50) --说明
)
Go
代码如下:
/********创建市级表********/
CREATE TABLE T_City
(
CityID INT IDENTITY(1,1) Primary KEY , --城市主键
CityName NVARCHAR(50) NOT NULL, --城市名称
ProID INT, --所属省份
CitySort INT --城市排序
)
代码如下:
/*********城市县区表*********/
CREATE TABLE T_District
(
Id INT IDENTITY(1,1) PRIMARY KEY,
DisName NVARCHAR(30) NOT NULL, --区县名称
CityID INT NOT NULL, --所属城市
DisSort INT --区县排序
)
数据下载地址:

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

MySQL is a common relational database that is a core component of many websites and applications. As the amount of data becomes larger and larger, how to optimize the performance of MySQL becomes particularly important. One of the key areas is the compression of data tables. In this article we will introduce the data table compression technology in MySQL. Compressed tables and non-compressed tables There are two types of data tables in MySQL: compressed tables and non-compressed tables. Uncompressed tables are MySQL's default table type, which use fixed-length row format to store data. This means data

MySQL is a very popular open source relational database management system that supports complete DDL (data definition language) operations. DDL is a language used to define and manage various data objects in the database, including data tables, views, indexes, etc. It is very important for database administrators and developers to be proficient in DDL operation technology of data tables in MySQL. This article will introduce in detail the technology and methods of DDL operation of data tables in MySQL, and provide practical operation examples. 1. Create a data table. Creating a data table is in DDL.

MySQL modifies the data table: 1. First check all tables in the database, the code is: "SHOW TABLES;"; 2. Modify the table name, the code is: "ALTER TABLE old table name RENAME [TO] new table name;". 3. Check whether the table name is modified successfully. The code is: "SHOW TABLES;"

MySQL is an open source relational database management system. Its basic functions are excellent in database design, data storage and management. In MySQL, the data table is the most basic unit of data storage. In practical applications, data table reloading is a very common operating technique, which can help us improve the operating efficiency of the database and improve the stability of the system. This article will introduce this operation technique in detail from the concepts, principles and practical applications of data table overloading in MySQL. 1. What is data table overloading? Data table overloading is

Introduction to the method of using MySQL's AVG function to calculate the average value of numeric columns in a data table: MySQL is an open source relational database management system with a wealth of built-in functions to process and calculate data. Among them, the AVG function is a function used to calculate the average of a numeric column. This article will introduce how to use the AVG function to calculate the average value of numeric columns in a MySQL data table, and provide relevant code examples. 1. Create a sample data table First, we need to create a sample data table for demonstration. Suppose we have a file called

How to use thinkorm to implement related queries between data tables Introduction: During database development, we often encounter situations where we need to perform related queries between multiple data tables. Using thinkorm, an excellent database ORM framework, you can easily implement associated queries of data tables and improve development efficiency. This article will introduce how to use thinkorm to implement related queries between data tables, and provide code examples to help readers better understand. 1. Basic concepts Before performing related queries, you first need to understand th

How to realize the underlying optimization of MySQL: horizontal and vertical partitioning strategies of data tables, which require specific code examples. Introduction: In large-scale application scenarios, MySQL databases often face the pressure of storing and querying massive data. In order to solve this problem, MySQL provides data table partitioning strategies, including horizontal partitioning (HorizontalPartitioning) and vertical partitioning (VerticalPartitioning). This article will introduce how to implement MySQL underlying optimization, focusing on

How to use the MAX function in MySQL to find the maximum value in the data table Introduction: In MySQL, we often need to perform various queries and analysis on the data table, including finding the maximum value in the data table. The maximum value in a data table can be easily found using the MAX function and is very useful when further processing the data. This article will introduce how to use the MAX function to find the largest value in the data table, and give corresponding code examples. 1. Introduction to the MAX function The MAX function is an aggregate function in MySQL. Use
