I am trying to form json from a table result set :
create table testmalc(
appid int identity(1,1),
propertyid1 int ,
propertyid1val varchar(10) ,
propertyid2 int,
propertyid2val varchar(10) ,
)
insert into testmalc values(456,'t1',789,'t2')
insert into testmalc values(900,'t3',902,'t4')
need below desired JSON result :
{
"data": {
"record": [{
"id": appid,
"customFields": [{
"customfieldid": propertyid1 ,
"customfieldvalue": propertyid1val
},
{
"customfieldid": propertyid2 ,
"customfieldvalue": propertyid2val
}
]
},
{
"id": appid,
"customFields": [{
"customfieldid": propertyid1 ,
"customfieldvalue": propertyid1val
},
{
"customfieldid": propertyid2 ,
"customfieldvalue": propertyid2val
}
]
}
]
}
}
I am trying to use stuff but was not getting the desired result. Now trying with UnPivot.
If you cannot upgrade to SQL-Server 2016 for JSON support you should try to solve this in any application / programming language you know of.
Just for fun, I provide an approach, which works, but is more a hack than a solution:
Your test data:
DECLARE #testmalc table (
appid int identity(1,1),
propertyid1 int ,
propertyid1val varchar(10) ,
propertyid2 int,
propertyid2val varchar(10)
);
insert into #testmalc values(456,'t1',789,'t2')
,(900,'t3',902,'t4');
--create a XML, which is the most similar structure and read it as a NVARCHAR string
DECLARE #intermediateXML NVARCHAR(MAX)=
(
SELECT t.appid AS id
,(
SELECT t2.propertyid1 AS [prop1/#customfieldid]
,t2.propertyid1val AS [prop1/#customfieldvalue]
,t2.propertyid2 AS [prop2/#customfieldid]
,t2.propertyid2val AS [prop2/#customfieldvalue]
FROM #testmalc t2
WHERE t2.appid=t.appid
FOR XML PATH('customFields'),TYPE
) AS [*]
FROM #testmalc t
GROUP BY t.appid
FOR XML PATH('row')
);
--Now a bunch of replacements
SET #intermediateXML=REPLACE(REPLACE(REPLACE(REPLACE(#intermediateXML,'=',':'),'/>','}'),'<prop1 ','{'),'<prop2 ','{');
SET #intermediateXML=REPLACE(REPLACE(REPLACE(REPLACE(#intermediateXML,'<customFields>','"customFields":['),'</customFields>',']'),'customfieldid','"customfieldid"'),'customfieldvalue',',"customfieldvalue"');
SET #intermediateXML=REPLACE(REPLACE(#intermediateXML,'<id>','"id":'),'</id>',',');
SET #intermediateXML=REPLACE(REPLACE(REPLACE(#intermediateXML,'<row>','{'),'</row>','}'),'}{','},{');
DECLARE #json NVARCHAR(MAX)=N'{"data":{"record":[' + #intermediateXML + ']}}';
PRINT #json;
The result (formatted)
{
"data": {
"record": [
{
"id": 1,
"customFields": [
{
"customfieldid": "456",
"customfieldvalue": "t1"
},
{
"customfieldid": "789",
"customfieldvalue": "t2"
}
]
},
{
"id": 2,
"customFields": [
{
"customfieldid": "900",
"customfieldvalue": "t3"
},
{
"customfieldid": "902",
"customfieldvalue": "t4"
}
]
}
]
}
}
Related
I have this content in a table in a column JsonResponse:
{
"results": {
"meta": {
"number_of_node": 2
},
"data": {
"Node": [
{
"id": "44511",
"subject": 31366
},
{
"id": "72176",
"subject": 36508
}
],
}
}
}
I'm trying to extract ALL the "subject"; here my query:
SELECT
JSON_VALUE(JSonResponse, '$.results.data.Node.subject') AS JsonResponse
FROM
Table
but the query result is always null.
I didn't find documentation about querying nested Json, any tips?
Thanks!
Try this:
DECLARE #Table TABLE (
JSonResponse NVARCHAR(MAX)
);
INSERT #Table ( JSonResponse )
VALUES (
'{
"results": {
"meta": {
"number_of_node": 2
},
"data": {
"Node": [
{
"id": "44511",
"subject": 31366
},
{
"id": "72176",
"subject": 36508
}
]
}
}
}'
);
SELECT oj2.*
FROM #Table AS t
CROSS APPLY
OPENJSON(t.JSonResponse, '$.results')
WITH ( meta NVARCHAR(MAX) AS JSON, data NVARCHAR(MAX) AS JSON ) AS oj
CROSS APPLY
OPENJSON(oj.data, '$.Node')
WITH ( id INT, subject NVARCHAR(MAX)) AS oj2;
You don't necessarily need nested OPENJSON calls, as you can jump straight to the right path
SELECT oj.*
FROM #Table AS t
CROSS APPLY OPENJSON(t.JSonResponse, '$.results.data.Node')
WITH (
id int,
subject int
) AS oj;
db<>fiddle
I have nested JSON file:
"vehicleStatusResponse": {
"vehicleStatuses": [
{
"vin": "ABC1234567890",
"triggerType": {
"triggerType": "TIMER",
"context": "RFMS",
"driverId": {
"tachoDriverIdentification": {
"driverIdentification": "123456789",
"cardIssuingMemberState": "BRA",
"driverAuthenticationEquipment": "CARD",
"cardReplacementIndex": "0",
"cardRenewalIndex": "1"
}
}
},
"receivedDateTime": "2020-02-12T04:11:19.221Z",
"hrTotalVehicleDistance": 103306960,
"totalEngineHours": 3966.6216666666664,
"driver1Id": {
"tachoDriverIdentification": {
"driverIdentification": "BRA1234567"
}
},
"engineTotalFuelUsed": 48477520,
"accumulatedData": {
"durationWheelbaseSpeedOverZero": 8309713,
"distanceCruiseControlActive": 8612200,
"durationCruiseControlActive": 366083,
"fuelConsumptionDuringCruiseActive": 3064170,
"durationWheelbaseSpeedZero": 5425783,
"fuelWheelbaseSpeedZero": 3332540,
"fuelWheelbaseSpeedOverZero": 44709670,
"ptoActiveClass": [
{
"label": "wheelbased speed >0",
"seconds": 16610,
"meters": 29050,
"milliLitres": 26310
},
{
"label": "wheelbased speed =0",
"seconds": 457344,
"milliLitres": 363350
It is already imported from Azure BLOB Storage to SQL DB and now I need to extract data from it to table. I've already used a T-SQL request to do that, but it returned me blank table with only headers:
SELECT response.*
FROM OPENROWSET (BULK 'response3.json', DATA_SOURCE = 'VCBI24', SINGLE_CLOB) as j
CROSS APPLY OPENJSON(BulkColumn)
WITH ( vehiclestatusResponse nvarchar (100), vehicleStatuses nvarchar (100), vin nvarchar (100), triggerType nvarchar (100), context nvarchar (100) and etc...) AS response
How can I handle it?
Thanks a lot for your attention!
You can supply a path with OPENJSON which allows you to drill in to nested JSON, eg
SELECT *
FROM OPENJSON( #json, '$.vehicleStatusResponse.vehicleStatuses' )
WITH (
vin VARCHAR(50) '$.vin',
triggerType VARCHAR(50) '$.triggerType.triggerType',
context VARCHAR(50) '$.triggerType.context',
driverIdentification VARCHAR(50) '$.triggerType.driverId.tachoDriverIdentification.driverIdentification',
cardIssuingMemberState VARCHAR(50) '$.triggerType.driverId.tachoDriverIdentification.cardIssuingMemberState',
receivedDateTime DATETIME '$.receivedDateTime',
engineTotalFuelUsed INT '$.engineTotalFuelUsed'
)
Full script example:
DECLARE #json VARCHAR(MAX) = '{
"vehicleStatusResponse": {
"vehicleStatuses": [
{
"vin": "ABC1234567890",
"triggerType": {
"triggerType": "TIMER",
"context": "RFMS",
"driverId": {
"tachoDriverIdentification": {
"driverIdentification": "123456789",
"cardIssuingMemberState": "BRA",
"driverAuthenticationEquipment": "CARD",
"cardReplacementIndex": "0",
"cardRenewalIndex": "1"
}
}
},
"receivedDateTime": "2020-02-12T04:11:19.221Z",
"hrTotalVehicleDistance": 103306960,
"totalEngineHours": 3966.6216666666664,
"driver1Id": {
"tachoDriverIdentification": {
"driverIdentification": "BRA1234567"
}
},
"engineTotalFuelUsed": 48477520,
"accumulatedData": {
"durationWheelbaseSpeedOverZero": 8309713,
"distanceCruiseControlActive": 8612200,
"durationCruiseControlActive": 366083,
"fuelConsumptionDuringCruiseActive": 3064170,
"durationWheelbaseSpeedZero": 5425783,
"fuelWheelbaseSpeedZero": 3332540,
"fuelWheelbaseSpeedOverZero": 44709670,
"ptoActiveClass": [
{
"label": "wheelbased speed >0",
"seconds": 16610,
"meters": 29050,
"milliLitres": 26310
},
{
"label": "wheelbased speed =0",
"seconds": 457344,
"milliLitres": 363350
}
]
}
}
]
}}}}}}}}'
SELECT *
FROM OPENJSON( #json, '$.vehicleStatusResponse.vehicleStatuses' )
WITH (
vin VARCHAR(50) '$.vin',
triggerType VARCHAR(50) '$.triggerType.triggerType',
context VARCHAR(50) '$.triggerType.context',
driverIdentification VARCHAR(50) '$.triggerType.driverId.tachoDriverIdentification.driverIdentification',
cardIssuingMemberState VARCHAR(50) '$.triggerType.driverId.tachoDriverIdentification.cardIssuingMemberState',
receivedDateTime DATETIME '$.receivedDateTime',
engineTotalFuelUsed INT '$.engineTotalFuelUsed'
)
My results:
Read more about OPENJSON here:
https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver15
A second example. With OPENJSON you can either supply the json path expression is more explicit and gives you more control particularly for nested JSON. If the JSON is relatively simple, you do not have to supply the paths, eg
DECLARE #json VARCHAR(MAX) = '{
"ptoActiveClass": [
{
"label": "wheelbased speed >0",
"seconds": 16610,
"meters": 29050,
"milliLitres": 26310
},
{
"label": "wheelbased speed =0",
"seconds": 457344,
"milliLitres": 363350
}
]
}'
SELECT *
FROM OPENJSON( #json, '$.ptoActiveClass' )
WITH (
label VARCHAR(50),
seconds INT,
meters INT,
milliLitres INT
)
SELECT *
FROM OPENJSON( #json, '$.ptoActiveClass' )
WITH (
label VARCHAR(50) '$.label',
seconds VARCHAR(50) '$.seconds',
meters VARCHAR(50) '$.meters',
milliLitres VARCHAR(50) '$.milliLitres'
)
I am trying to update several rows in SQL with JSON.
I'd like to match a primary key on a table row to an index nested in an array of JS objects.
Sample data:
let json = [{
"header": object_data,
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": object_data,
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": object_data,
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": object_data,
"text": "some_text"
}}]
}]
Sample table:
i | json | item_id
---+---------------------------+---------
0 | entire_object_at_index_0 | item_id
4 | entire_object_at_index_4 | item_id4
17 | entire_object_at_index_17 | item_id17
entire_object_at_index, meaning appending the item data to the header to create a new object for each row.
"header" "some_data",
"items": [{
"id": {
"i": 0,
"name": "item_id1"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}]
SQL:
update someTable set
json = json_value(#jsons, '$') -- not sure how to join on index here
item_id = json_value(#jsons, '$.items[?].id.name' -- not sure how to select by index here
where [i] = json_query(#jsons, '$.items.id.i')
The requirement to repeat the other properties complicates this a bit, because we need to build a new object explicitly. Even so it's not too hard:
update someTable
set
[json] = (
select (
select
"header" = json_query(#json, '$.header'),
"items" = json_query(N'[' + items.item + N']')
for json path, without_array_wrapper
)
),
item_id = items.item_id
from openjson(#json, '$.items') with (
item nvarchar(max) '$' as json,
item_id varchar(50) '$.id.name',
i int '$.id.i'
) items
join someTable on [someTable].i = items.i
Here I'm assuming the #json has already been unwrapped from its array, as your query seems to assume. If it's not, substitute $.[0] for $ in the outer query.
Update:
It's an attempt to improve my answer (I missed the header part of the JSON content in the original answer). Of course, the #JeroenMostert's answer is an excellent solution, so this is just another possible approach. Note, that if header part of JSON content is scalar value, you should use JSON_VALUE().
Table and JSON:
-- Table
CREATE TABLE #Data (
i int,
[json] nvarchar(max),
item_id nvarchar(100)
)
INSERT INTO #Data
(i, [json], [item_id])
VALUES
(0 , N'entire_object_at_index_0', N'item_id'),
(4 , N'entire_object_at_index_4', N'item_id4'),
(17, N'entire_object_at_index_17', N'item_id17')
-- JSON
DECLARE #json nvarchar(max) = N'[{
"header": {"key": "some_data"},
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": "some_data",
"text": "some_text"
}}]
}]'
Statement:
UPDATE #Data
SET #Data.Json = j.Json
FROM #Data
CROSS APPLY (
SELECT
JSON_QUERY(#json, '$[0].header') AS header,
JSON_QUERY(j.[value], '$') AS items
FROM OPENJSON(#json, '$[0].items') j
WHERE JSON_VALUE(j.[value], '$.id.i') = #Data.[i]
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
) j ([Json])
Original answer:
One possible approach is to use OPENJSON and appropriate join:
Table and JSON:
-- Table
CREATE TABLE #Data (
i int,
[json] nvarchar(max),
item_id nvarchar(100)
)
INSERT INTO #Data
(i, [json], [item_id])
VALUES
(0 , N'entire_object_at_index_0', N'item_id'),
(4 , N'entire_object_at_index_4', N'item_id4'),
(17, N'entire_object_at_index_17', N'item_id17')
-- JSON
DECLARE #json nvarchar(max) = N'[{
"header": "some_data",
"items": [{
"id": {
"i": 0,
"name": "item_id"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 4,
"name": "item_id4"
},
"meta": {
"data": "some_data",
"text": "some_text"
}
}, {
"id": {
"i": 17,
"name": "item_id17"
},
"meta": {
"data": "some_data",
"text": "some_text"
}}]
}]'
Statement:
UPDATE #Data
SET [json] = j.[value]
FROM #Data
LEFT JOIN (
SELECT
[value],
JSON_VALUE([value], '$.id.i') AS [i]
FROM OPENJSON(#json, '$[0].items')
) j ON (#Data.[i] = j.[i])
I want to display the parameter ST and NextTime from table #json. The parameters id and Timestamp appear normally. I try the following but does not show any effect.Any possible answers?
My Json
{
"PCol": [{
"Id": 15,
"TimeStamp": "2018-02-1",
"Val": {
"States": [{
"Numbers": {
"Number": [5, 8]
},
"CS": {
"ST": "25"
},
"Changes": [{
"NextTime": 1
}]
}]
}
}]
}
My Sql Query
SELECT * FROM OPENJSON((select * from #json),N'$.PCol')
WITH (
[Id] INT N'$.Id ',
[TimeStamp] NVARCHAR(MAX) N'$.TimeStamp',
**[ST] INT N'$.Val.States.CS.ST'**
)
Thanks
Not going to lie, my OPENJSON knowledge is poor (so this might be able to be more succinct), however, this works:
DECLARE #JSON nvarchar(MAX) =
N' {
"PCol": [{
"Id": 15,
"TimeStamp": "2018-02-1",
"Val": {
"States": [{
"Numbers": {
"Number": [5, 8]
},
"CS": {
"ST": "25"
}
}]
}
}]
} ';
SELECT P.Id,
P.TimeStamp,
V.ST
FROM OPENJSON(#JSON,N'$.PCol') WITH ([Id] INT N'$.Id ',
[TimeStamp] NVARCHAR(MAX) N'$.TimeStamp',
[Vals] nvarchar(MAX) N'$.Val' AS JSON) P
CROSS APPLY OPENJSON(P.Vals,N'$.States') WITH (ST int N'$.CS.ST') V
For the latest JSON, this works:
SELECT P.Id,
P.TimeStamp,
V.ST,
C.NextTime
FROM OPENJSON(#JSON,N'$.PCol') WITH ([Id] INT N'$.Id ',
[TimeStamp] NVARCHAR(MAX) N'$.TimeStamp',
[Vals] nvarchar(MAX) N'$.Val' AS JSON) P
CROSS APPLY OPENJSON(P.Vals,N'$.States') WITH (ST int N'$.CS.ST',
[Changes] nvarchar(MAX) N'$.Changes' AS JSON) V
CROSS APPLY OPENJSON(V.[Changes]) WITH (NextTime int '$.NextTime') C
I have a JSON structure where there are Sections, consisting of multiple Renders, which consist of multiple Fields.
How do I do 1 OPENJSON call on the lowest level (Fields) to get all information from there?
Here is an example JSON:
Declare #layout NVARCHAR(MAX) = N'
{
"Sections": [
{
"SectionName":"Section1",
"SectionOrder":1,
"Renders":[
{
"RenderName":"Render1",
"RenderOrder":1,
"Fields":[
{
"FieldName":"Field1",
"FieldData":"Data1"
},
{
"FieldName":"Field2",
"FieldData":"Data2"
}
]
},
{
"RenderName":"Render2",
"RenderOrder":2,
"Fields":[
{
"FieldName":"Field1",
"FieldData":"Data1"
},
{
"FieldName":"Field2",
"FieldData":"Data2"
}
]
}
]
},
{
"SectionName":"Section2",
"SectionOrder":2,
"Renders":[
{
"RenderName":"Render1",
"RenderOrder":1,
"Fields":[
{
"FieldName":"Field1",
"FieldData":"Data1"
}
]
},
{
"RenderName":"Render2",
"RenderOrder":2,
"Fields":[
{
"FieldName":"Field1",
"FieldData":"Data1"
},
{
"FieldName":"Field2",
"FieldData":"Data2"
}
]
}
]
}
]
}
'
Here is some example of code of a nested OPENJSON call, which works, but is very complex and can't be generated dynamically, how do I make it one level call?
SELECT SectionName, SectionOrder, RenderName, RenderOrder, FieldName, FieldData FROM (
SELECT SectionName, SectionOrder, RenderName, RenderOrder, Fields FROM (
select SectionName, SectionOrder, Renders
from OPENJSON(#layout,'$.Sections')
WITH (
SectionName nvarchar(MAX) '$.SectionName',
SectionOrder nvarchar(MAX) '$.SectionOrder',
Renders nvarchar(MAX) '$.Renders' as JSON
)
) as Sections
CROSS APPLY OPENJSON(Renders,'$')
WITH (
RenderName nvarchar(MAX) '$.RenderName',
RenderOrder nvarchar(MAX) '$.RenderOrder',
Fields nvarchar(MAX) '$.Fields' as JSON
)
) as Renders
CROSS APPLY OPENJSON(Fields,'$')
WITH (
FieldName nvarchar(MAX) '$.FieldName',
FieldData nvarchar(MAX) '$.FieldData'
)
This is what I would like to achieve:
select FieldName, FieldData
from OPENJSON(#layout,'$.Sections.Renders.Fields')
WITH (
FieldName nvarchar(MAX) '$.Sections.Renders.Fields.FieldName',
FieldData nvarchar(MAX) '$.Sections.Renders.Fields.FieldData'
)
While you can't get away with using only a single OPENJSON, you can simplify your query a bit to make it easier to create dynamically by removing the nested subqueries:
SELECT SectionName, SectionOrder, RenderName, RenderOrder, FieldName, FieldData
FROM OPENJSON(#layout, '$.Sections')
WITH (
SectionName NVARCHAR(MAX) '$.SectionName',
SectionOrder NVARCHAR(MAX) '$.SectionOrder',
Renders NVARCHAR(MAX) '$.Renders' AS JSON
)
CROSS APPLY OPENJSON(Renders,'$')
WITH (
RenderName NVARCHAR(MAX) '$.RenderName',
RenderOrder NVARCHAR(MAX) '$.RenderOrder',
Fields NVARCHAR(MAX) '$.Fields' AS JSON
)
CROSS APPLY OPENJSON(Fields,'$')
WITH (
FieldName NVARCHAR(MAX) '$.FieldName',
FieldData NVARCHAR(MAX) '$.FieldData'
)
EDIT:
If you have a primitive array, you can access the data using the value property after you expose the nested array as a JSON field. Using the JSON from the comment below, you can do this to get the values from a primitive array:
DECLARE #layout NVARCHAR(MAX) = N'{ "id":123, "locales":["en", "no", "se"] }'
SELECT
a.id
, [Locale] = b.value
FROM OPENJSON(#layout, '$')
WITH (
id INT '$.id',
locales NVARCHAR(MAX) '$.locales' AS JSON
) a
CROSS APPLY OPENJSON(a.locales,'$') b
This can be done by CROSS Applying the JSON child node with the parent node and using the JSON_Value() function, like shown below:
DECLARE #json NVARCHAR(1000)
SELECT #json =
N'{
"OrderHeader": [
{
"OrderID": 100,
"CustomerID": 2000,
"OrderDetail": [
{
"ProductID": 2000,
"UnitPrice": 350
},
{
"ProductID": 3000,
"UnitPrice": 450
},
{
"ProductID": 4000,
"UnitPrice": 550
}
]
}
]
}'
SELECT
JSON_Value (c.value, '$.OrderID') as OrderID,
JSON_Value (c.value, '$.CustomerID') as CustomerID,
JSON_Value (p.value, '$.ProductID') as ProductID,
JSON_Value (p.value, '$.UnitPrice') as UnitPrice
FROM OPENJSON (#json, '$.OrderHeader') as c
CROSS APPLY OPENJSON (c.value, '$.OrderDetail') as p
Result
-------
OrderID CustomerID ProductID UnitPrice
100 2000 2000 350
100 2000 3000 450
100 2000 4000 550
select
json_query(questionsList.value, '$.answers'),
json_value(answersList2.value, '$.text[0].text') as text,
json_value(answersList2.value, '$.value') as code
from RiskAnalysisConfig c
outer apply OpenJson(c.Configuration, '$.questions') as questionsList
outer apply OpenJson(questionsList.value, '$.answers') as answersList2
where questionsList.value like '%"CATEGORIES"%'
Sample of List of answers for each question into list
questionsList list level 1
answersList2 list level 2
Json sample
{
"code": "Code x",
"questions": [
{},
{},
{
"code": "CATEGORIES",
"text": [
{
"text": "How old years are you?",
"available": true
}
],
"answers": [
{
"text": [
{
"text": "more than 18",
"available": true
}
],
"text": [
{
"text": "less than 18",
"available": true
}
]
}
]
}
]
}
Partial result
| text | code |
| --- | --- |
| How old years are you? | more than 18 |
| How old years are you? | lass than 18 |
I have the JSON code and inserted into the table called MstJson, the column name which contains JSON code is JSON data.
JSON Code :
[
{
"id":100,
"type":"donut",
"name":"Cake",
"ppu":0.55,
"batters":{
"batter":[
{
"id":"1001",
"type":"Regular"
},
{
"id":"1002",
"type":"Chocolate"
},
{
"id":"1003",
"type":"Blueberry"
},
{
"id":"1004",
"type":"Havmor",
"BusinessName":"HussainM"
},
"id",
"type"
]
},
"topping":[
{
"id":"5001",
"type":"None"
},
{
"id":"5002",
"type":"Glazed"
},
{
"id":"5005",
"type":"Sugar"
},
{
"id":"5007",
"type":"Powdered Sugar"
},
{
"id":"5006",
"type":"Chocolate with Sprinkles"
},
{
"id":"5003",
"type":"Chocolate"
},
{
"id":"5004",
"type":"Maple"
}
]
},
{
"id":"0002",
"type":"donut",
"name":"Raised",
"ppu":0.55,
"batters":{
"batter":[
{
"id":"1001",
"type":"Regular"
}
]
},
"topping":[
{
"id":"5001",
"type":"None"
},
{
"id":"5002",
"type":"Glazed"
},
{
"id":"5005",
"type":"Sugar"
},
{
"id":"5003",
"type":"Chocolate"
},
{
"id":"5004",
"type":"Maple"
}
]
},
{
"id":"0003",
"type":"donut",
"name":"Old Fashioned",
"ppu":0.55,
"batters":{
"batter":[
{
"id":"1001",
"type":"Regular"
},
{
"id":"1002",
"type":"Chocolate"
}
]
},
"topping":[
{
"id":"5001",
"type":"None"
},
{
"id":"5002",
"type":"Glazed"
},
{
"id":"5003",
"type":"Chocolate"
},
{
"id":"5004",
"type":"Maple"
}
]
}
]
Sql Code for OpenJson using CrossApply (Nested Array):
SELECT
d.ID
,a.ID
,a.Type
,a.Name
,a.PPU
,c.Batterid
,c.Battertype
FROM MstJson d
CROSS APPLY
OPENJSON(Jsondata)
WITH
(
ID NVARCHAR(MAX) '$.id'
,Type NVARCHAR(MAX) '$.type'
,Name NVARCHAR(MAX) '$.name'
,PPU DECIMAL(18, 2) '$.ppu'
,Batters NVARCHAR(MAX) '$.batters' AS JSON
) AS a
CROSS APPLY
OPENJSON(Batters, '$')
WITH
(
Batter NVARCHAR(MAX) '$.batter' AS JSON
) AS b
CROSS APPLY
OPENJSON(Batter, '$')
WITH
(
Batterid INT '$.id'
,Battertype NVARCHAR(MAX) '$.type'
) AS c
WHERE d.ID = 12; ---above Json Code is on Id 12 of Table MstJson