Respostas:
Atualização: a partir do SQL Server 2016, a análise de JSON em TSQL agora é possível .
Nativamente, não há suporte. Você terá que usar o CLR. É tão simples quanto isso, a menos que você tenha uma grande tendência masoquista e queira escrever um analisador JSON em SQL
Normalmente, as pessoas pedem a saída JSON do banco de dados e há exemplos na internet. Mas em um banco de dados?
Parece que tenho uma tendência masoquista enorme porque escrevi um analisador JSON. Ele converte um documento JSON em uma tabela de lista de adjacência SQL, que é fácil de usar para atualizar suas tabelas de dados. Na verdade, fiz pior, já que criei código para fazer o processo reverso, que é ir de uma tabela de hierarquia para uma string JSON
O artigo e o código estão aqui: Consumindo strings Json no servidor SQL .
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" } } } ')
Para obter:
Finalmente, o SQL Server 2016 adicionará suporte nativo a JSON !!
Ref:
Recursos adicionais no SQL Server 2016 incluem:
- Aprimoramentos de segurança adicionais para segurança em nível de linha e máscara dinâmica de dados para complementar nossos investimentos em segurança com Always
Encrypted- Melhorias no AlwaysOn para disponibilidade mais robusta e recuperação de desastres com múltiplas réplicas síncronas e
balanceamento de carga secundário .- Suporte nativo de JSON para oferecer melhor desempenho e suporte para seus vários tipos de dados.
- As ferramentas de Enterprise Information Management (EIM) do SQL Server e o Analysis Services são atualizados em desempenho, usabilidade e escalabilidade.
- Backups híbridos mais rápidos, alta disponibilidade e cenários de recuperação de desastres para fazer backup e restaurar seus bancos de dados locais no Azure
e colocar seus secundários AlwaysOn do SQL Server no Azure.
Postagem do blog de recursos: http://blogs.msdn.com/b/jocapc/archive/2015/05/16/json-support-in-sql-server-2016.aspx
SQL server 2016 oferece suporte para json data
análise usando OPENJSON
. Você pode usar OPENJSON
para mapear json data
para linhas e colunas.
Seu json Data
[
{ "id" : 2,"name": "John"},
{ "id" : 5,"name": "John"}
]
Aqui está como você pode lidar com json em sql
//@pJson is json data passed from code.
INSERT INTO YourTable (id, Name)
SELECT id, name
FROM OPENJSON(@pJson)
WITH (id int,
name nvarchar(max))
Aqui está um artigo detalhado que cobre este tópico.
Desenvolvi meu próprio analisador JSON do SQL Server 2016+ há algum tempo. Eu uso isso em todos os meus projetos - desempenho muito bom. Espero que isso possa ajudar outra pessoa também.
Código completo da função:
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
Exemplo de uso:
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;
Exemplo de uso multinível:
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;
Eu também tenho uma grande tendência masoquista, pois escrevi outro analisador JSON. Este usa uma abordagem procedimental. Ele usa uma tabela de lista de hierarquia SQL semelhante para armazenar os dados analisados. Também no pacote estão:
Fique à vontade para usar e se divertir com isso
http://www.codeproject.com/Articles/1000953/JSON-for-Sql-Server-Part
iif
função ou OFFSET
)
Agora existe um suporte nativo no SQL Server (CTP3) para importar, exportar, consultar e validar JSON dentro do T-SQL. Consulte https://msdn.microsoft.com/en-us/library/dn921897.aspx
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
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
Eu vi um artigo muito legal sobre isso ... então, se você gosta disso:
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
Tente olhar aqui:
https://www.simple-talk.com/sql/t-sql-programming/consuming-json-strings-in-sql-server/
Há um projeto ASP.Net completo sobre isso aqui: http://www.codeproject.com/Articles/788208/Update-Multiple-Rows-of-GridView-using-JSON-in-ASP