I have a table with 3 columns, I want to query that table such that the result will be a JSON object.
Sample data looks like this:
CREATE TABLE #Test (ValueV INT, KEYS NVARCHAR (100), ID INT)
INSERT INTO #Test
VALUES (1, N'ChangeAdress 19 - 21', 200),
(1, N'ChangeAdress 20 - 22', 200),
(1, N'ChangeAdress 22 - 24', 300),
(1, N'ChangeAdress 23 - 25', 300),
(2, N'ChangeAdress 24 - 26', 400),
(2, N'ChangeAdress 25 - 27', 400),
(3, N'ChangeAdress 26 - 28', 400),
(3, N'ChangeAdress 27 - 29', 400)
SELECT * FROM #Test
My query attempt:
SELECT ID, Keys, ValueV
FROM #Test
GROUP BY ID, keys, ValueV
FOR JSON AUTO
But that returns 1 JSON 'row'. What I want, is one row per group. Group being here ID, Value combination. I have little experience with JSON objects (which is probably visible from this query), so help would be appreciated.
The desired output (but then as JSON per row):
--------------------------------------------------
|200, 1, ChangeAdress 19 - 21, ChangeAdress 20 - 22|
|300, 1, ChangeAdress 22 - 24, ChangeAdress 23 - 25|
|400, 2, ChangeAdress 24 - 26, ChangeAdress 25 - 27|
|400, 3, ChangeAdress 26 - 28, ChangeAdress 27 - 29|
Thanks in advance!
Posting this if any one has the same sort of use case
SELECT [t].[ID],
(SELECT [t1].[KEYS], [t1].[ValueV] FROM @Test t1 WHERE t1.[ID] = [t].id FOR JSON PATH ) a
FROM @Test AS [t]
GROUP BY [t].[ID]
This works (in SQL Server 2017, where STRING_AGG
is available), but is quite clumsy. I'm not sure there's not a more elegant way.
SELECT (
SELECT
ID,
ValueV,
Keys = JSON_QUERY('["' + STRING_AGG(STRING_ESCAPE(Keys, 'json'), '","') + '"]')
FOR JSON PATH
)
FROM #Test
GROUP BY ID, ValueV
For SQL Server 2016 (which has no STRING_AGG
, or STRING_ESCAPE
for that matter):
SELECT (
SELECT ID, ValueV, Keys = JSON_QUERY(REPLACE(REPLACE(
(
SELECT Keys
FROM #Test t2 WHERE t2.ID = t1.ID AND t2.ValueV = t1.ValueV
FOR JSON PATH
),
'{"Keys":', ''),
'}', ''))
FOR JSON PATH
)
FROM #Test t1
GROUP BY ID, ValueV
Even less elegant, but you take what you can get. At least we're not concatenating with FOR XML
...
My two cents:
Interesting that you want valid individual JSON rows and not one single JSON string. Anyhow, here are some alternate answers, although the accepted answer is the best one.
-- 100% hardcoded yourself. Pre SQL Server 2016
SELECT '[{"ID":' + convert(nvarchar(4),T1.[ID]) + ',"ValueV":' + convert(nvarchar(4),T1.[ValueV]) + ',"Keys":["' + T1.[Keys] + '","' + T2.[Keys] + '"]}]' AS [keys]
FROM #Test AS T1 INNER JOIN #Test T2 ON t2.ID = t1.ID AND t2.ValueV = t1.ValueV AND t2.keys > t1.keys
Or:
-- Use the OPENJSON to output your results as a dataset and not just a single row. I've removed the escape character back slashes to match the accepted answers output
SELECT
'[' + REPLACE((REPLACE((REPLACE([value], '\','')),':"[',':[')),']"}',']}') + ']'
FROM OPENJSON(
(SELECT T1.[ID],T1.[ValueV], '["' + T1.[Keys] + '","' + T2.[Keys] + '"]' AS [keys]
FROM #Test AS T1 INNER JOIN #Test T2 ON t2.ID = t1.ID AND t2.ValueV = t1.ValueV AND t2.keys > t1.keys
FOR JSON PATH))
Or:
-- This is a lot cleaner for an array of values in pairs. Again using OPENJSON to output your desired result.
select
'[' + [Value] + ']' FROM OPENJSON(
(select T1.[ID], T1.[ValueV], JSON_MODIFY(JSON_MODIFY('[]','append lax $',t0.keys),'append lax $',t1.keys) as keys
FROM #Test AS T0 inner join #Test as t1
on t0.ID = t1.ID AND t0.ValueV = t1.ValueV AND t0.keys < t1.keys
FOR JSON path))
Just quick a note that JSON itself is not an object, but just a string of named value pairs, valid JavaScript but a subset nonetheless, it looks completely different when for instance you want a nested Javascript object (If JS is your intended data destination, I'm assuming here). The JSON function's great for quickly pulling off data for transfer, but when you want a nested output or grouping the dataset for an array of values not objects, it can become quite tricky. Personally, since it's a string, for more complicated stuff I just build it myself. Hope that's a different take.
Try this:
SELECT (SELECT [ID], [Keys], [ValueV] FOR JSON PATH)
FROM #Test
GROUP BY ID, keys, ValueV
or this:
SELECT (SELECT [ID], [Keys], [ValueV] FOR JSON PATH, WITHOUT_ARRAY_WRAPPER)
FROM #Test
GROUP BY ID, keys, ValueV
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