I'm using Teradata, I have a table like this
ID String
123 Jim
123 John
123 Jane
321 Jill
321 Janine
321 Johan
I want to query the table so I get
ID String
123 Jim, John, Jane
321 Jill, Janine, Johan
I tried partition but there can be many names. How do I get this result. Even, to point me in the right direction would be great.
Unfortunately there's no PIVOT in Teradata (only a TD_UNPIVOT in 14.10).
If you got luck there's an aggregate UDF at your site to do a group concat (probably low possibility).
Otherwise there are two options: recursion or aggregation.
If the maximum number of rows per id is known aggregation is normally faster. It's a lot of code, but most of it is based on cut&paste.
SELECT
id,
MAX(CASE WHEN rn = 1 THEN string END)
|| MAX(CASE WHEN rn = 2 THEN ',' || string ELSE '' END)
|| MAX(CASE WHEN rn = 3 THEN ',' || string ELSE '' END)
|| MAX(CASE WHEN rn = 4 THEN ',' || string ELSE '' END)
|| ... -- repeat up to the known maximum
FROM
(
SELECT
id, string,
ROW_NUMBER()
OVER (PARTITION BY id
ORDER BY string) AS rn
FROM t
) AS dt
GROUP BY 1;
For large tables it's much more efficient when you materialize the result of the Derived Table in a Volatile Table first using the GROUP BY column as PI.
For recursion you should use a Volatile Table, too, as OLAP functions are not allowed in the recursive part. Using a view instead will repeatedly calculate the OLAP function and thus result in bad performance.
CREATE VOLATILE TABLE vt AS
(
SELECT
id
,string
,ROW_NUMBER()
OVER (PARTITION BY id
ORDER BY string DESC) AS rn -- reverse order!
,COUNT(*)
OVER (PARTITION BY id) AS cnt
FROM t
) WITH DATA
UNIQUE PRIMARY INDEX(id, rn)
ON COMMIT PRESERVE ROWS;
WITH RECURSIVE cte
(id, list, rn) AS
(
SELECT
id
,CAST(string AS VARCHAR(1000)) -- define maximum size based on maximum number of rows
,rn
FROM vt
WHERE rn = cnt
UNION ALL
SELECT
vt.id
,cte.list || ',' || vt.string
,vt.rn
FROM vt
JOIN cte
ON vt.id = cte.id
AND vt.rn = cte.rn - 1
)
SELECT id, list
FROM cte
WHERE rn = 1;
There's one problem with this approach, it might need a lot of spool which is easy to see when you omit theWHERE rn = 1
.