sqlserver 调用qq map 服务,根据地点获取所在城市 首先需要解决的是如何在SQL SERVER中调用web service,其次是针对web service的返回json进行解析; 1、调用web service create proc getCityByPosition( @url varchar(2048) --Your Web Service Url (invoke
sqlserver 调用qq map 服务,根据地点获取所在城市
首先需要解决的是如何在SQL SERVER中调用web service,其次是针对web service的返回值json进行解析;
1、调用web service
create proc getCityByPosition( @url varchar(2048) --Your Web Service Url (invoked) ) as declare @Object as Int; declare @ResponseText as Varchar(8000); declare @resultStr varchar(2048) -- exec getCityByPosition 'http://apis.map.qq.com/ws/geocoder/v1/?location=34.287100,117.255000&key=K76BZ-W3O2Q-RFL5S-GXOPR-3ARIT-6KFE5&output=json&&callback=?' Exec sp_OACreate 'MSXML2.XMLHTTP', @Object OUT; Exec sp_OAMethod @Object, 'open', NULL, 'get',@url,'false' Exec sp_OAMethod @Object, 'send' Exec sp_OAMethod @Object, 'responseText', @ResponseText OUTPUT Select top 1 StringValue from parseJSON(@ResponseText) where name = 'city'; Exec sp_OADestroy @Object
执行测试可能报错,提示更改全局配置,需管理员执行下面代码:
sp_configure 'show advanced options', 1; GO RECONFIGURE; GO sp_configure 'Ole Automation Procedures', 1; GO RECONFIGURE; GO
2、解析json字符串,使用自定义函数parseJSON
USE [pm_v3] GO /****** Object: UserDefinedFunction [dbo].[parseJSON] Script Date: 01/02/2015 18:06:05 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO ALTER FUNCTION [dbo].[parseJSON]( @JSON NVARCHAR(MAX)) RETURNS @hierarchy TABLE ( element_id INT IDENTITY(1, 1) NOT NULL, /* internal surrogate primary key gives the order of parsing and the list order */ parent_ID INT,/* if the element has a parent then it is in this column. The document is the ultimate parent, so you can get the structure from recursing from the document */ Object_ID INT,/* each list or object has an object id. This ties all elements to a parent. Lists are treated as objects here */ NAME VARCHAR(2000),/* the name of the object */ StringValue VARCHAR(MAX) NOT NULL,/*the string representation of the value of the element. */ ValueType VARCHAR(10) NOT null /* the declared type of the value represented as a string in StringValue*/ ) AS BEGIN DECLARE @FirstObject INT, --the index of the first open bracket found in the JSON string @OpenDelimiter INT,--the index of the next open bracket found in the JSON string @NextOpenDelimiter INT,--the index of subsequent open bracket found in the JSON string 【本文来自鸿网互联 (http://www.68idc.cn)】 @NextCloseDelimiter INT,--the index of subsequent close bracket found in the JSON string @Type NVARCHAR(10),--whether it denotes an object or an array @NextCloseDelimiterChar CHAR(1),--either a '}' or a ']' @Contents NVARCHAR(MAX), --the unparsed contents of the bracketed expression @Start INT, --index of the start of the token that you are parsing @end INT,--index of the end of the token that you are parsing @param INT,--the parameter at the end of the next Object/Array token @EndOfName INT,--the index of the start of the parameter at end of Object/Array token @token NVARCHAR(200),--either a string or object @value NVARCHAR(MAX), -- the value as a string @name NVARCHAR(200), --the name as a string @parent_ID INT,--the next parent ID to allocate @lenJSON INT,--the current length of the JSON String @characters NCHAR(36),--used to convert hex to decimal @result BIGINT,--the value of the hex symbol being parsed @index SMALLINT,--used for parsing the hex value @Escape INT --the index of the next escape character DECLARE @Strings TABLE /* in this temporary table we keep all strings, even the names of the elements, since they are 'escaped' in a different way, and may contain, unescaped, brackets denoting objects or lists. These are replaced in the JSON string by tokens representing the string */ ( String_ID INT IDENTITY(1, 1), StringValue NVARCHAR(MAX) ) SELECT--initialise the characters to convert hex to ascii @characters='0123456789abcdefghijklmnopqrstuvwxyz', /* firstly we process all strings. This is done because [{} and ] aren't escaped in strings, which complicates an iterative parse. */ @parent_ID=0; WHILE 1=1 --forever until there is nothing more to do BEGIN SELECT @start=PATINDEX('%[^a-zA-Z]["]%', @json);--next delimited string IF @start=0 BREAK --no more so drop through the WHILE loop IF SUBSTRING(@json, @start+1, 1)='"' BEGIN --Delimited Name SET @start=@Start+1; SET @end=PATINDEX('%[^\]["]%', RIGHT(@json, LEN(@json+'|')-@start)); END IF @end=0 --no end delimiter to last string BREAK --no more SELECT @token=SUBSTRING(@json, @start+1, @end-1) --now put in the escaped control characters SELECT @token=REPLACE(@token, FROMString, TOString) FROM (SELECT '\"' AS FromString, '"' AS ToString UNION ALL SELECT '\\', '\' UNION ALL SELECT '\/', '/' UNION ALL SELECT '\b', CHAR(08) UNION ALL SELECT '\f', CHAR(12) UNION ALL SELECT '\n', CHAR(10) UNION ALL SELECT '\r', CHAR(13) UNION ALL SELECT '\t', CHAR(09) ) substitutions SELECT @result=0, @escape=1 --Begin to take out any hex escape codes WHILE @escape>0 BEGIN SELECT @index=0, --find the next hex escape sequence @escape=PATINDEX('%\x[0-9a-f][0-9a-f][0-9a-f][0-9a-f]%', @token) IF @escape>0 --if there is one BEGIN WHILE @index<4 --there are always four digits to a \x sequence BEGIN SELECT --determine its value @result=@result+POWER(16, @index) *(CHARINDEX(SUBSTRING(@token, @escape+2+3-@index, 1), @characters)-1), @index=@index+1 ; END -- and replace the hex sequence by its unicode value SELECT @token=STUFF(@token, @escape, 6, NCHAR(@result)) END END --now store the string away INSERT INTO @Strings (StringValue) SELECT @token -- and replace the string with a token SELECT @JSON=STUFF(@json, @start, @end+1, '@string'+CONVERT(NVARCHAR(5), @@identity)) END -- all strings are now removed. Now we find the first leaf. WHILE 1=1 --forever until there is nothing more to do BEGIN SELECT @parent_ID=@parent_ID+1 --find the first object or list by looking for the open bracket SELECT @FirstObject=PATINDEX('%[{[[]%', @json)--object or array IF @FirstObject = 0 BREAK IF (SUBSTRING(@json, @FirstObject, 1)='{') SELECT @NextCloseDelimiterChar='}', @type='object' ELSE SELECT @NextCloseDelimiterChar=']', @type='array' SELECT @OpenDelimiter=@firstObject WHILE 1=1 --find the innermost object or list... BEGIN SELECT @lenJSON=LEN(@JSON+'|')-1 --find the matching close-delimiter proceeding after the open-delimiter SELECT @NextCloseDelimiter=CHARINDEX(@NextCloseDelimiterChar, @json, @OpenDelimiter+1) --is there an intervening open-delimiter of either type? SELECT @NextOpenDelimiter=PATINDEX('%[{[[]%', RIGHT(@json, @lenJSON-@OpenDelimiter))--object IF @NextOpenDelimiter=0 --then we are done. BREAK SELECT @NextOpenDelimiter=@NextOpenDelimiter+@OpenDelimiter IF @NextCloseDelimiter<@NextOpenDelimiter --we have found the next leaf BREAK --we prepare to walk the document further IF SUBSTRING(@json, @NextOpenDelimiter, 1)='{' SELECT @NextCloseDelimiterChar='}', @type='object' ELSE SELECT @NextCloseDelimiterChar=']', @type='array' SELECT @OpenDelimiter=@NextOpenDelimiter END /*and now we can parse out the list or name/value pairs. We first pull out the structure into the variable '@contents' and replace it in the JSON document with a token representing it.*/ SELECT @contents=SUBSTRING(@json, @OpenDelimiter+1, @NextCloseDelimiter-@OpenDelimiter-1) SELECT @JSON=STUFF(@json, @OpenDelimiter, @NextCloseDelimiter-@OpenDelimiter+1, '@'+@type+CONVERT(NVARCHAR(5), @parent_ID)) /*and do each name/value pair, or just value, in the case of an ordered value list. */ WHILE (PATINDEX('%[A-Za-z0-9@+.e]%', @contents))<>0 BEGIN IF @Type='Object' /*it will be a 0-n list containing a string followed by a string, number,boolean, or null*/ BEGIN SELECT @end=CHARINDEX(':', ' '+@contents) /*if there is anything, it will be a string-based name.*/ SELECT @start=PATINDEX('%[^A-Za-z@][@]%', ' '+@contents)--find out what the token is SELECT @token=SUBSTRING(' '+@contents, @start+1, @End-@Start-1), @endofname=PATINDEX('%[0-9]%', @token),--and find out the number so as to fish out the string @param=RIGHT(@token, LEN(@token)-@endofname+1) SELECT--separate the token from the contents of the structure (chop, chop0 @token=LEFT(@token, @endofname-1), @Contents=RIGHT(' '+@contents, LEN(' '+@contents+'|')-@end-1) --now we get the string we have stored (names are stored as strings) SELECT @name=stringvalue FROM @strings WHERE string_id=@param --fetch the name END ELSE --it is merely a value in an ordered list, without a name SELECT @Name=null SELECT @end=CHARINDEX(',', @contents)-- a string-token, object-token, list-token, number,boolean, or null IF @end=0 --then we're at the end of the list SELECT @end=PATINDEX('%[A-Za-z0-9@+.e][^A-Za-z0-9@+.e]%', @Contents+' ') +1 SELECT @start=PATINDEX('%[^A-Za-z0-9@+.e][A-Za-z0-9@+.e]%', ' '+@contents) SELECT --get the value and snip the contents @Value=RTRIM(SUBSTRING(@contents, @start, @End-@Start)), @Contents=RIGHT(@contents+' ', LEN(@contents+'|')-@end) IF SUBSTRING(@value, 1, 7)='@object' INSERT INTO @hierarchy (NAME, parent_ID, StringValue, Object_ID, ValueType) SELECT @name, @parent_ID, SUBSTRING(@value, 8, 5), SUBSTRING(@value, 8, 5), 'object' ELSE IF SUBSTRING(@value, 1, 6)='@array' INSERT INTO @hierarchy (NAME, parent_ID, StringValue, Object_ID, ValueType) SELECT @name, @parent_ID, SUBSTRING(@value, 7, 5), SUBSTRING(@value, 7, 5), 'array' ELSE IF SUBSTRING(@value, 1, 7)='@string' --it is a string INSERT INTO @hierarchy (NAME, parent_ID, StringValue, ValueType) SELECT @name, @parent_ID, stringvalue, 'string' FROM @strings WHERE string_id=SUBSTRING(@value, 8, 5) ELSE IF @value IN ('true', 'false')--a boolean! INSERT INTO @hierarchy (NAME, parent_ID, StringValue, ValueType) SELECT @name, @parent_ID, @value, 'boolean' ELSE IF @value='null' --it is a null INSERT INTO @hierarchy (NAME, parent_ID, StringValue, ValueType) SELECT @name, @parent_ID, @value, 'null' ELSE IF PATINDEX('%[^0-9]%', @value)>0 --a real number INSERT INTO @hierarchy (NAME, parent_ID, StringValue, ValueType) SELECT @name, @parent_ID, @value, 'real' ELSE --it must be an INT INSERT INTO @hierarchy (NAME, parent_ID, StringValue, ValueType) SELECT @name, @parent_ID, @value, 'int' END END --and so lastly we put the root into the hierarchy. INSERT INTO @hierarchy (NAME, parent_ID, StringValue, Object_ID, ValueType) SELECT '-', NULL, '', @parent_id-1, @type -- RETURN END

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

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

Dreamweaver CS6
Visual web development tools