Reputation: 347
I'm trying to flatten out an object array that is constructed by FOR JSON
.
My query looks like:
select
(
select id from MyTable
where id in (select value from OPENJSON(@jsonArray))
FOR JSON PATH
) existing,
(
select value id from OPENJSON(@jsonArray)
where value not in (select Id from MyTable)
FOR JSON PATH
) missing
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
The resulting JSON is:
{
"existing": [
{
"id": "a00cd8f6-d1c6-4604-b235-59d3cacd5bcc"
},
{
"id": "052455b6-6bf5-47d3-8bee-7ba98d7fbd50"
}
],
"missing": [
{
"id": "328add2d-e8f2-4a0e-af54-5b1733310170"
}
]
}
What I would like instead is:
{
"existing": [
{
"id": "a00cd8f6-d1c6-4604-b235-59d3cacd5bcc"
},
{
"id": "052455b6-6bf5-47d3-8bee-7ba98d7fbd50"
}
],
"missing": [
"328add2d-e8f2-4a0e-af54-5b1733310170"
]
}
The missing array should not contain json-objects, just values. Any suggestions?
Upvotes: 5
Views: 4774
Reputation: 1
use append from a cursor
DECLARE @missing nvarchar(max),
@json nvarchar(max) = (select
(
select id from MyTable
where id in (select value from OPENJSON(@jsonArray))
FOR JSON PATH
) existing
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER)
DECLARE missing_cursor CURSOR FOR
select value id
from OPENJSON(@jsonArray)
where value not in (select Id from MyTable)
OPEN missing_cursor
FETCH NEXT FROM missing_cursor
INTO @missing
WHILE @@FETCH_STATUS = 0
BEGIN
SET @json = JSON_MODIFY(@json,'append $.missing', @missing)
FETCH NEXT FROM missing_cursor
INTO @missing
END
CLOSE missing_cursor;
DEALLOCATE missing_cursor;
select @json
Upvotes: -1
Reputation: 67291
This is not as easy as it should be...
AFAIK there's no way to create a naked json array with sql-server. But you can trick this out on string level:
DECLARE @exist TABLE(id VARCHAR(100));
DECLARE @miss TABLE(id VARCHAR(100));
INSERT INTO @exist VALUES ('exist1'),('exist2');
INSERT INTO @miss VALUES ('miss1'),('miss2');
--This will create the object array you want
SELECT id FROM @exist
FOR JSON PATH
--And this will create the naked array using some rather ugly tricks.
SELECT REPLACE(REPLACE(REPLACE(
(
SELECT id from @miss
FOR JSON PATH
),'"id":',''),'{',''),'}','')
--Now we have to combine both. And again we need a trick. We use JSON_QUERY()
on the JSON literal to avoid escaped quotes.
SELECT
(
SELECT id FROM @exist
FOR JSON PATH
) AS existing
,JSON_QUERY(
REPLACE(REPLACE(REPLACE(
(
SELECT id from @miss
FOR JSON PATH
),'"id":',''),'{',''),'}','')
) AS missing
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER;
This ist the result
{
"existing":[{"id":"exist1"},{"id":"exist2"}] <--array of objects
,"missing":["miss1","miss2"] <--array of naked values
}
I have no idea, why this can't be done out-of-the-box...
Upvotes: -1
Reputation: 12355
If you are using SQL Server 2017 you can build your array with JSON_QUERY
and STRING_AGG
(with SQL Server 2016 you can't use STRING_AGG
, so you'll have to do a bit of estra work, but the following idea would still be valid):
declare @missing table(id varchar(max))
declare @existing table(id varchar(max))
insert into @missing values ('a00cd8f6-d1c6-4604-b235-59d3cacd5bcc')
insert into @missing values ('052455b6-6bf5-47d3-8bee-7ba98d7fbd50')
insert into @existing values ('328add2d-e8f2-4a0e-af54-5b1733310170')
select
(
select id from @missing
FOR JSON PATH
) existing,
(
select JSON_QUERY(concat('[' , STRING_AGG(concat('"' , STRING_ESCAPE(id, 'json') , '"'),',') , ']'))
from @existing
) missing
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
Result:
{
"existing": [
{
"id": "a00cd8f6-d1c6-4604-b235-59d3cacd5bcc"
},
{
"id": "052455b6-6bf5-47d3-8bee-7ba98d7fbd50"
}
],
"missing": [
"328add2d-e8f2-4a0e-af54-5b1733310170"
]
}
Upvotes: 3