I have a query that is similar to this:
SELECT dateadd(DAY,0, datediff(day,0, archivedate)) as day,
COUNT(*) item_value,
item_metadata.item_label
FROM item_values
join item_metadata on item_values.md_ID= item_metadata.Id
group by dateadd(DAY,0, datediff(day,0, archivedate)), item_label
order by dateadd(DAY,0, datediff(day,0, archivedate)) desc
This results in data that looks like this:
day item_value item_label
2020-03-31 8 orange
2020-03-31 2 black
2020-03-30 28 green
2020-03-30 1 blue
2020-03-30 59 orange
2020-03-29 11 black
2020-03-29 1 blue
2020-03-29 15 green
2020-03-29 4 orange
I want to have it look like this though:
day orange black green blue
2020-03-31 8 2 0 0
2020-03-30 59 0 28 1
2020-03-29 4 11 15 1
Is this possible in SQL Server?
I'm basically wanting to eventually visualize the data as a stacked chart.
SOLVED Based on the other links posted below the solution i found was:
declare
@cols nvarchar(max),
@stmt nvarchar(max)
select @cols = isnull(@cols + ', ', '') + '[' + T.item_label + ']' from (select distinct item_label from item_metadata where Active=1) as T
select @stmt = '
select * from (SELECT dateadd(DAY,0, datediff(day,0, archivedate)) as [day],
COUNT(*) as item_value,
item_label
FROM item_values
join item_metadata on item_values.md_ID= item_metadata.Id
where Ignored=0 group by dateadd(DAY,0, datediff(day,0, archivedate)),item_label ) Visits
pivot(sum(item_value) for item_metadata
in (' + @cols + ') ) as pivottable order by day desc
'
exec sp_executesql @stmt = @stmt