Union rows to columns in SQL server - sql-server

Question

This is the table "tbltask",
task Ship_Operator Pick_Operator Pack_Operator
1 john kevin steve
2 kevin kevin john
3 steve john john
4 steve steve steve
5 john steve john
Now I need to get the total amount for everyone: ship, pick, pack
name ship Total pick Total pack Total
john 2 1 3
kevin 1 2 0
steve 2 2 2
I can use three statement to get the result:
select [Ship_Operator] ,count(*) as task_total from tbltask
where [Ship_Operator] in ('john','kevin','steve')
group by [Ship_Operator]
select [Pick_Operator] ,count(*) as task_total from tbltask
where [Pick_Operator] in ('john','kevin','steve')
group by [Pick_Operator]
select [Pack_Operator] ,count(*) as task_total from tbltask
where [Pack_Operator] in ('john','kevin','steve')
group by [Pack_Operator]
Is it possible to use one SQL statement?
Your help will be appreciated!

Answer 1

unpivot and pivot back:
with t(task,Ship_Operator,Pick_Operator,Pack_Operator) as (
select '1','john','kevin','steve' union all
select '2','kevin','kevin','john' union all
select '3','steve','john','john' union all
select '4','steve','steve','steve' union all
select '5','john','steve','john')
-------Test data set up ends here------------
select
name, Ship_Operator ship_total, Pick_Operator pick_total, Pack_Operator pack_total
from t unpivot (
name for operation in (Ship_Operator, Pick_operator, Pack_Operator)
) as x pivot (
count(task) for operation in ([Ship_Operator],[Pick_Operator],[Pack_Operator])
) as x;
Produces:
Another way is to use UNPIVOT only and then conditionally aggregate:
with t(task,Ship_Operator,Pick_Operator,Pack_Operator) as (
select '1','john','kevin','steve' union all
select '2','kevin','kevin','john' union all
select '3','steve','john','john' union all
select '4','steve','steve','steve' union all
select '5','john','steve','john')
-------Test data set up ends here------------
select
name,
count(case when operation = 'Ship_Operator' then 1 end) ship,
count(case when operation = 'Pick_Operator' then 1 end) pick,
count(case when operation = 'Pack_Operator' then 1 end) pack
from t unpivot (
name for operation in (Ship_Operator, Pick_operator, Pack_Operator)
) as x
group by name;
Produces:

Answer 2

Use UNION to combine all name and add a new column to just identify the different values.
Query
SELECT t.[Name],
SUM(CASE t.[Col1] WHEN 'Ship' THEN 1 ELSE 0 END) AS [Ship Total],
SUM(CASE t.[Col1] WHEN 'Pick' THEN 1 ELSE 0 END) AS [Pick Total],
SUM(CASE t.[Col1] WHEN 'Pack' THEN 1 ELSE 0 END) AS [Pack Total]
FROM(
SELECT 'Ship' AS [col1], [Ship_operator] as [Name]
FROM [tbltask]
UNION ALL
SELECT 'Pick', [Pick_operator]
FROM [tbltask]
UNION ALL
SELECT 'Pack' AS [col1], [Pack_operator]
FROM [tbltask]
)t
GROUP BY t.[Name];
And if you want the result particularly for those three names. Then add a WHERE condition in the sub-queries.