Solución:
MySQL
SELECT FieldA
, GROUP_CONCAT(FieldB ORDER BY FieldB SEPARATOR ',') AS FieldBs
FROM TableName
GROUP BY FieldA
ORDER BY FieldA;
Oracle y DB2
SELECT FieldA
, LISTAGG(FieldB, ',') WITHIN GROUP (ORDER BY FieldB) AS FieldBs
FROM TableName
GROUP BY FieldA
ORDER BY FieldA;
PostgreSQL
SELECT FieldA
, STRING_AGG(FieldB, ',' ORDER BY FieldB) AS FieldBs
FROM TableName
GROUP BY FieldA
ORDER BY FieldA;
servidor SQL
SQL Server ≥ 2017 y Azure SQL
SELECT FieldA
, STRING_AGG(FieldB, ',') WITHIN GROUP (ORDER BY FieldB) AS FieldBs
FROM TableName
GROUP BY FieldA
ORDER BY FieldA;
SQL Server ≤ 2016 (CTE incluido para fomentar el principio DRY)
WITH CTE_TableName AS (
SELECT FieldA, FieldB
FROM TableName)
SELECT t0.FieldA
, STUFF((
SELECT ',' + t1.FieldB
FROM CTE_TableName t1
WHERE t1.FieldA = t0.FieldA
ORDER BY t1.FieldB
FOR XML PATH('')), 1, LEN(','), '') AS FieldBs
FROM CTE_TableName t0
GROUP BY t0.FieldA
ORDER BY FieldA;
SQLite
El pedido requiere un CTE o una subconsulta
WITH CTE_TableName AS (
SELECT FieldA, FieldB
FROM TableName
ORDER BY FieldA, FieldB)
SELECT FieldA
, GROUP_CONCAT(FieldB, ',') AS FieldBs
FROM CTE_TableName
GROUP BY FieldA
ORDER BY FieldA;
Sin ordenar
SELECT FieldA
, GROUP_CONCAT(FieldB, ',') AS FieldBs
FROM TableName
GROUP BY FieldA
ORDER BY FieldA;
A partir de SQL Server 2017, STRING_AGG
La función está disponible, lo que simplifica considerablemente la lógica:
select FieldA, string_agg(FieldB, '') as data
from yourtable
group by FieldA
Ver SQL Fiddle con demostración
En SQL Server puede usar FOR XML PATH
para obtener el resultado:
select distinct t1.FieldA,
STUFF((SELECT distinct '' + t2.FieldB
from yourtable t2
where t1.FieldA = t2.FieldA
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,0,'') data
from yourtable t1;
Ver SQL Fiddle con demostración
En SQL Server 2017 se agrega STRING_AGG:
SELECT t.name,STRING_AGG (c.name, ',') AS csv
FROM sys.tables t
JOIN sys.columns c on t.object_id = c.object_id
GROUP BY t.name
ORDER BY 1
Además, STRING_SPLIT es útil para el caso contrario y está disponible en SQL Server 2016
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