Table1
| ID | Notes | ReasonID |
|---|---|---|
| 1 | Test1 | [11,12] |
| 2 | Test2 | [13,14] |
Table 2
| Reasonid | Name |
|---|---|
| 11 | Other1 |
| 12 | Other2 |
| 13 | Other3 |
| 14 | Other4 |
Result should look like this, where Notes column from Table1 should concat with Name column from Table2.
| ID | Final_Notes |
|---|---|
| 1 | Test1,Other1,Other2 |
| 2 | Test2,Other3,Other4 |
CodePudding user response:
If you use SQL Server 2017 , you may try to parse the ReasonID column as JSON, use an appropriate JOIN and then aggregate with STRING_AGG().
Sample data:
SELECT *
INTO Table1
FROM (VALUES
(1, 'Test1', '[11,12]'),
(2, 'Test2', '[13,14]')
) t (ID, Notes, ReasonID)
SELECT *
INTO Table2
FROM (VALUES
(11, 'Other1'),
(12, 'Other2'),
(13, 'Other3'),
(14, 'Other4')
) t (ReasonID, Name)
Statement:
SELECT
ID,
FinalNotes = CONCAT(
Notes,
',',
(
SELECT STRING_AGG(t2.Name, ',') WITHIN GROUP (ORDER BY CONVERT(int, j.[key]))
FROM OPENJSON(ReasonID) j
-- Important, JOIN with possible implicit conversion
JOIN Table2 t2 ON j.[value] = t2.ReasonID
)
)
FROM Table1
Result:
| ID | FinalNotes |
|---|---|
| 1 | Test1,Other1,Other2 |
| 2 | Test2,Other3,Other4 |
CodePudding user response:
use Trim('[] ' FROM for deleting [] and Parsename to split based on comma and join and concat as follows
Your data
DECLARE @Table1 TABLE(
ID INTEGER NOT NULL,
Notes VARCHAR(60) NOT NULL,
ReasonID VARCHAR(60) NOT NULL
);
INSERT INTO @Table1(ID, Notes, ReasonID)
VALUES
(1, 'Test1', '[11,12]'),
(2, 'Test2', '[13,14]');
DECLARE @Table2 TABLE(
Reasonid INTEGER NOT NULL,
Name VARCHAR(60) NOT NULL
);
INSERT INTO @Table2(Reasonid, Name)
VALUES
(11, 'Other1'),
(12, 'Other2'),
(13, 'Other3'),
(14, 'Other4');
your query
SELECT id,
Concat(notes, ',', T2.name, ',', T3.name) FinalNotes
FROM (SELECT id,
notes,
Parsename(Replace(Trim('[] ' FROM reasonid), ',', '.'), 2) R1,
Parsename(Replace(Trim('[] ' FROM reasonid), ',', '.'), 1) R2
FROM @table1) T1
join @table2 T2
ON T1.R1 = T2.reasonid
join @table2 T3
ON T1.R2 = T3.reasonid
In addition you can use stuff and for xml path in your sql version
