在 TSQL 中解析 JSON
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Parse JSON in TSQL
提问by R0b0tn1k
Is it possible to parse JSONin TSQL?
是否可以解析JSON的TSQL?
I don't mean to create a JSONstring; rather, I want to parse a JSONstring passed in as a parameter.
我不是要创建一个JSON字符串;相反,我想解析JSON作为parameter.
采纳答案by gbn
Update: As of SQL Server 2016 parsing JSON in TSQL is now possible.
更新:从 SQL Server 2016 开始,现在可以在 TSQL 中解析 JSON。
Natively, there is no support. You'll have to use CLR. It is as simple as that, unless you have a huge masochistic streak and want to write a JSON parser in SQL
本机不支持。您将不得不使用 CLR。就是这么简单,除非你有一个巨大的自虐倾向并且想用 SQL 编写一个 JSON 解析器
Normally, folk ask for JSON output from the DB and there are examples on the internet. But into a DB?
通常,人们会要求从数据库获取 JSON 输出,并且互联网上有示例。但进入数据库?
回答by Phil Factor
I seem to have a huge masochistic streak in that I've written a JSON parser. It converts a JSON document into a SQL Adjacency list table, which is easy to use to update your data tables. Actually, I've done worse, in that I've done code to do the reverse process, which is to go from a hierarchy table to a JSON string
我似乎有一个巨大的自虐倾向,因为我写了一个 JSON 解析器。它将 JSON 文档转换为 SQL Adjacency 列表表,该表易于用于更新您的数据表。实际上,我做得更糟,因为我已经完成了反向过程的代码,即从层次结构表到 JSON 字符串
The article and code is here: Consuming Json strings in SQL server.
文章和代码在这里:Consuming Json strings in SQL server。
Select * from parseJSON('{ "Person": { "firstName": "John", "lastName": "Smith", "age": 25, "Address": { "streetAddress":"21 2nd Street", "city":"New York", "state":"NY", "postalCode":"10021" }, "PhoneNumbers": { "home":"212 555-1234", "fax":"646 555-4567" } } } ')To get:
Select * from parseJSON('{ "Person": { "firstName": "John", "lastName": "Smith", "age": 25, "Address": { "streetAddress":"21 2nd Street", "city":"New York", "state":"NY", "postalCode":"10021" }, "PhoneNumbers": { "home":"212 555-1234", "fax":"646 555-4567" } } } ')要得到:
回答by Irvin Dominin
Finally SQL Server 2016 will add Native JSON support!!
最后 SQL Server 2016 将添加原生 JSON 支持!!
Ref:
参考:
Additional capabilities in SQL Server 2016 include:
- Additional security enhancements for Row-level Security and Dynamic Data Masking to round out our security investments with Always
Encrypted.- Improvements to AlwaysOn for more robust availability and disaster recovery with multiple synchronous replicas and secondary load
balancing.- Native JSON support to offer better performance and support for your many types of your data.
- SQL Server Enterprise Information Management (EIM) tools and Analysis Services get an upgrade in performance, usability and scalability.
- Faster hybrid backups, high availability and disaster recovery scenarios to backup and restore your on-premises databases to Azure
and place your SQL Server AlwaysOn secondaries in Azure.
SQL Server 2016 中的其他功能包括:
- 行级安全性和动态数据屏蔽的额外安全增强功能,以完善我们对 Always
Encrypted 的安全投资。- 通过多个同步副本和辅助负载
平衡对 AlwaysOn 进行了改进,以实现更强大的可用性和灾难恢复。- 本机 JSON 支持可为您的多种类型的数据提供更好的性能和支持。
- SQL Server 企业信息管理 (EIM) 工具和分析服务在性能、可用性和可扩展性方面得到了升级。
- 更快的混合备份、高可用性和灾难恢复方案,可将您的本地数据库备份和还原到 Azure
,并将您的 SQL Server AlwaysOn 辅助数据库放置在 Azure 中。
公告:http: //blogs.technet.com/b/dataplatforminsider/archive/2015/05/04/sql-server-2016-public-preview-coming-this-summer.aspx
Features blog post: http://blogs.msdn.com/b/jocapc/archive/2015/05/16/json-support-in-sql-server-2016.aspx
功能博客文章:http: //blogs.msdn.com/b/jocapc/archive/2015/05/16/json-support-in-sql-server-2016.aspx
回答by Mairaj Ahmad
SQL server 2016 supports json dataparsing using OPENJSON. You can use OPENJSONto map json datato rows and columns.
SQL Server 2016 支持json data使用OPENJSON. 您可以使用OPENJSON映射json data到行和列。
Your json Data
您的 json Data
[
{ "id" : 2,"name": "John"},
{ "id" : 5,"name": "John"}
]
Here is how you can handle json in sql
以下是如何在 sql 中处理 json
//@pJson is json data passed from code.
INSERT INTO YourTable (id, Name)
SELECT id, name
FROM OPENJSON(@pJson)
WITH (id int,
name nvarchar(max))
Hereis a detailed article which covers this topic.
这是一篇详细的文章,涵盖了这个主题。
回答by Vitaly Borisov
I developed my own SQL Server 2016+ JSON parser a while ago. I use this in all my projects - very good performance. I hope it can help someone else too.
不久前,我开发了自己的 SQL Server 2016+ JSON 解析器。我在所有项目中都使用它 - 性能非常好。我希望它也能帮助别人。
Full code of the function:
函数的完整代码:
ALTER FUNCTION [dbo].[SmartParseJSON] (@json NVARCHAR(MAX))
RETURNS @Parsed TABLE (Parent NVARCHAR(MAX),Path NVARCHAR(MAX),Level INT,Param NVARCHAR(4000),Type NVARCHAR(255),Value NVARCHAR(MAX),GenericPath NVARCHAR(MAX))
AS
BEGIN
-- Author: Vitaly Borisov
-- Create date: 2018-03-23
;WITH crData AS (
SELECT CAST(NULL AS NVARCHAR(4000)) COLLATE DATABASE_DEFAULT AS [Parent]
,j.[Key] AS [Param],j.Value,j.Type
,j.[Key] AS [Path],0 AS [Level]
,j.[Key] AS [GenericPath]
FROM OPENJSON(@json) j
UNION ALL
SELECT CAST(d.Path AS NVARCHAR(4000)) COLLATE DATABASE_DEFAULT AS [Parent]
,j.[Key] AS [Param],j.Value,j.Type
,d.Path + CASE d.Type WHEN 5 THEN '.' WHEN 4 THEN '[' ELSE '' END + j.[Key] + CASE d.Type WHEN 4 THEN ']' ELSE '' END AS [Path]
,d.Level+1
,d.GenericPath + CASE d.Type WHEN 5 THEN '.' + j.[Key] ELSE '' END AS [GenericPath]
FROM crData d
CROSS APPLY OPENJSON(d.Value) j
WHERE ISJSON(d.Value) = 1
)
INSERT INTO @Parsed(Parent, Path, Level, Param, Type, Value, GenericPath)
SELECT d.Parent,d.Path,d.Level,d.Param
,CASE d.Type
WHEN 1 THEN CASE WHEN TRY_CONVERT(UNIQUEIDENTIFIER,d.Value) IS NOT NULL THEN 'UNIQUEIDENTIFIER' ELSE 'NVARCHAR(MAX)' END
WHEN 2 THEN 'INT'
WHEN 3 THEN 'BIT'
WHEN 4 THEN 'Array'
WHEN 5 THEN 'Object'
ELSE 'NVARCHAR(MAX)'
END AS [Type]
,CASE
WHEN d.Type = 3 AND d.Value = 'true' THEN '1'
WHEN d.Type = 3 AND d.Value = 'false' THEN '0'
ELSE d.Value
END AS [Value]
,d.GenericPath
FROM crData d
OPTION(MAXRECURSION 1000) /*Limit to 1000 levels deep*/
;
RETURN;
END
GO
Example of use:
使用示例:
DECLARE @json NVARCHAR(MAX) = '{"Objects":[{"SomeKeyID":1,"Value":3}],"SomeParam":"Lalala"}';
SELECT j.Parent, j.Path, j.Level, j.Param, j.Type, j.Value, j.GenericPath
FROM dbo.SmartParseJSON(@json) j;
Example of multilevel use:
多级使用示例:
DECLARE @json NVARCHAR(MAX) = '{"Objects":[{"SomeKeyID":1,"Value":3}],"SomeParam":"Lalala"}';
DROP TABLE IF EXISTS #ParsedData;
SELECT j.Parent, j.Path, j.Level, j.Param, j.Type, j.Value, j.GenericPath
INTO #ParsedData
FROM dbo.SmartParseJSON(@json) j;
SELECT COALESCE(p2.GenericPath,p.GenericPath) AS [GenericPath]
,COALESCE(p2.Param,p.Param) AS [Param]
,COALESCE(p2.Value,p.Value) AS [Value]
FROM #ParsedData p
LEFT JOIN #ParsedData p1 ON p1.Parent = p.Path AND p1.Level = 1
LEFT JOIN #ParsedData p2 ON p2.Parent = p1.Path AND p2.Level = 2
WHERE p.Level = 0
;
DROP TABLE IF EXISTS #ParsedData;
回答by jsegarra
I do also have a huge masochistic streak as that I've written yet another JSON parser. This one uses a procedural approach. It uses a similat SQL hierarchy list table to store the parsed data. Also in the package are:
我也有一个巨大的自虐倾向,因为我已经编写了另一个 JSON 解析器。这个使用程序方法。它使用一个类似的 SQL 层次列表表来存储解析的数据。包裹中还有:
- Reverse process: from hierarchy to JSON
- Querying functions: to fetch particular values from a JSON object
- 逆向过程:从层次结构到 JSON
- 查询函数:从 JSON 对象中获取特定值
Please feel free to use and have fun with it
请随意使用并玩得开心
http://www.codeproject.com/Articles/1000953/JSON-for-Sql-Server-Part
http://www.codeproject.com/Articles/1000953/JSON-for-Sql-Server-Part
回答by Mo Zaatar
Now there is a Native support in SQL Server (CTP3) for import, export, query and validate JSON inside T-SQL Refer to https://msdn.microsoft.com/en-us/library/dn921897.aspx
现在在 SQL Server (CTP3) 中有对 T-SQL 中的导入、导出、查询和验证 JSON 的本机支持 请参阅https://msdn.microsoft.com/en-us/library/dn921897.aspx
回答by Addi Khan
CREATE 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 */
sequenceNo [int] NULL, /* the place in the sequence for the element */
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 NVARCHAR(2000),/* the name of the object */
StringValue NVARCHAR(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
@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
@SequenceNo int, -- the sequence number within a list
@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',
@SequenceNo=0, --set the sequence no. to something sensible.
/* 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 collate SQL_Latin1_General_CP850_Bin);--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) collate SQL_Latin1_General_CP850_Bin);
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 collate SQL_Latin1_General_CP850_Bin)
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 collate SQL_Latin1_General_CP850_Bin)--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)collate SQL_Latin1_General_CP850_Bin)--object
IF @NextOpenDelimiter=0
BREAK
SELECT @NextOpenDelimiter=@NextOpenDelimiter+@OpenDelimiter
IF @NextCloseDelimiter<@NextOpenDelimiter
BREAK
IF SUBSTRING(@json, @NextOpenDelimiter, 1)='{'
SELECT @NextCloseDelimiterChar='}', @type='object'
ELSE
SELECT @NextCloseDelimiterChar=']', @type='array'
SELECT @OpenDelimiter=@NextOpenDelimiter
END
---and parse out the list or name/value pairs
SELECT
@contents=SUBSTRING(@json, @OpenDelimiter+1,
@NextCloseDelimiter-@OpenDelimiter-1)
SELECT
@JSON=STUFF(@json, @OpenDelimiter,
@NextCloseDelimiter-@OpenDelimiter+1,
'@'+@type+CONVERT(NVARCHAR(5), @parent_ID))
WHILE (PATINDEX('%[A-Za-z0-9@+.e]%', @contents collate SQL_Latin1_General_CP850_Bin))<>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
@SequenceNo=0,@end=CHARINDEX(':', ' '+@contents)--if there is anything, it will be a string-based name.
SELECT @start=PATINDEX('%[^A-Za-z@][@]%', ' '+@contents collate SQL_Latin1_General_CP850_Bin)--AAAAAAAA
SELECT @token=SUBSTRING(' '+@contents, @start+1, @End-@Start-1),
@endofname=PATINDEX('%[0-9]%', @token collate SQL_Latin1_General_CP850_Bin),
@param=RIGHT(@token, LEN(@token)-@endofname+1)
SELECT
@token=LEFT(@token, @endofname-1),
@Contents=RIGHT(' '+@contents, LEN(' '+@contents+'|')-@end-1)
SELECT @name=stringvalue FROM @strings
WHERE string_id=@param --fetch the name
END
ELSE
SELECT @Name=null,@SequenceNo=@SequenceNo+1
SELECT
@end=CHARINDEX(',', @contents)-- a string-token, object-token, list-token, number,boolean, or null
IF @end=0
SELECT @end=PATINDEX('%[A-Za-z0-9@+.e][^A-Za-z0-9@+.e]%', @Contents+' ' collate SQL_Latin1_General_CP850_Bin)
+1
SELECT
@start=PATINDEX('%[^A-Za-z0-9@+.e][A-Za-z0-9@+.e]%', ' '+@contents collate SQL_Latin1_General_CP850_Bin)
--select @start,@end, LEN(@contents+'|'), @contents
SELECT
@Value=RTRIM(SUBSTRING(@contents, @start, @End-@Start)),
@Contents=RIGHT(@contents+' ', LEN(@contents+'|')-@end)
IF SUBSTRING(@value, 1, 7)='@object'
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, Object_ID, ValueType)
SELECT @name, @SequenceNo, @parent_ID, SUBSTRING(@value, 8, 5),
SUBSTRING(@value, 8, 5), 'object'
ELSE
IF SUBSTRING(@value, 1, 6)='@array'
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, Object_ID, ValueType)
SELECT @name, @SequenceNo, @parent_ID, SUBSTRING(@value, 7, 5),
SUBSTRING(@value, 7, 5), 'array'
ELSE
IF SUBSTRING(@value, 1, 7)='@string'
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, ValueType)
SELECT @name, @SequenceNo, @parent_ID, stringvalue, 'string'
FROM @strings
WHERE string_id=SUBSTRING(@value, 8, 5)
ELSE
IF @value IN ('true', 'false')
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, ValueType)
SELECT @name, @SequenceNo, @parent_ID, @value, 'boolean'
ELSE
IF @value='null'
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, ValueType)
SELECT @name, @SequenceNo, @parent_ID, @value, 'null'
ELSE
IF PATINDEX('%[^0-9]%', @value collate SQL_Latin1_General_CP850_Bin)>0
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, ValueType)
SELECT @name, @SequenceNo, @parent_ID, @value, 'real'
ELSE
INSERT INTO @hierarchy
(NAME, SequenceNo, parent_ID, StringValue, ValueType)
SELECT @name, @SequenceNo, @parent_ID, @value, 'int'
if @Contents=' ' Select @SequenceNo=0
END
END
INSERT INTO @hierarchy (NAME, SequenceNo, parent_ID, StringValue, Object_ID, ValueType)
SELECT '-',1, NULL, '', @parent_id-1, @type
--
RETURN
END
GO
---Pase JSON
---传递JSON
Declare @pars varchar(MAX) =
' {"shapes":[{"type":"polygon","geofenceName":"","geofenceDescription":"",
"geofenceCategory":"1","color":"#1E90FF","paths":[{"path":[{
"lat":"26.096254906968525","lon":"65.709228515625"}
,{"lat":"28.38173504322308","lon":"66.741943359375"}
,{"lat":"26.765230565697482","lon":"68.983154296875"}
,{"lat":"26.254009699865737","lon":"68.609619140625"}
,{"lat":"25.997549919572112","lon":"68.104248046875"}
,{"lat":"26.843677401113002","lon":"67.115478515625"}
,{"lat":"25.363882272740255","lon":"65.819091796875"}]}]}]}'
Select * from parseJSON(@pars) AS MyResult
回答by JanBorup
I have seen a pretty neat article about this... so if you like this:
我看过一篇关于这个的非常简洁的文章......所以如果你喜欢这个:
CREATE PROC [dbo].[spUpdateMarks]
@inputJSON VARCHAR(MAX) -- '[{"ID":"1","C":"60","CPP":"60","CS":"60"}]'
AS
BEGIN
-- Temp table to hold the parsed data
DECLARE @TempTableVariable TABLE(
element_id INT,
sequenceNo INT,
parent_ID INT,
[Object_ID] INT,
[NAME] NVARCHAR(2000),
StringValue NVARCHAR(MAX),
ValueType NVARCHAR(10)
)
-- Parse JSON string into a temp table
INSERT INTO @TempTableVariable
SELECT * FROM parseJSON(@inputJSON)
END
Try to look here:
试试看这里:
https://www.simple-talk.com/sql/t-sql-programming/consuming-json-strings-in-sql-server/
https://www.simple-talk.com/sql/t-sql-programming/sumption-json-strings-in-sql-server/
There is a complete ASP.Net project about this here: http://www.codeproject.com/Articles/788208/Update-Multiple-Rows-of-GridView-using-JSON-in-ASP
这里有一个完整的 ASP.Net 项目:http: //www.codeproject.com/Articles/788208/Update-Multiple-Rows-of-GridView-using-JSON-in-ASP


