I have a table as follows:
Product #users Date Count Type
prodA 29 2013-02-27 113 Document
prodA 31 2013-03-02 152 Extraction
prodB 17 2013-02-26 40 Document
prodB 28 2013-03-02 73 Extraction
I need to use a pivot table on the [Type]/Count column and obtain a table as follows:
Product #users Date Document Extraction
prodA 60 2013-03-02 113 152
prodB 45 2013-03-02 40 73
where the #user column is the sum group by product, and the Date is the max date group by product.
This is what I got so far:
SELECT Product,
sum(users),
max([Date]),
[Document],[Extraction] FROM Table
PIVOT
( sum([Count]) FOR [Type] IN ( Document , Extraction)) AS [QUANTITY]
GROUP BY activity, document, extraction
but my final results give me something like this instead:
Product #users Date Document Extraction
prodA 31 2013-03-02 NULL 152
prodA 29 2013-02-27 113 NULL
prodB 28 2013-03-02 NULL 73
prodB 17 2013-02-26 40 NULL
It is not grouping by the Product!
Any ideas?
EDIT:
So far, I have
WITH Pivoted
AS
(
SELECT *
FROM table1
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;
but my table1 above is actually made of codes below:
WITH a
AS(
SELECT activity,
username,
[Last Accessed] = max(DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0)), --[#Users] = count(distinct username),
CASE WHEN COUNT(activity)IS NOT NULL THEN 1 ELSE 0 END AS Count,
CASE WHEN pageURL LIKE '/Document%'
OR pageURL LIKE '/Database%' THEN 'Document' ELSE 'Extraction' END AS [Type] --into #temp
from activitylog
where pageURL not like '%home%' AND pageURL not like '/Default%'
--AND ActDateTime >= @StartDate AND ActDateTime <= @EndDate
group by activity,
username,
--department,
DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0),
CASE WHEN pageURL LIKE '/Document%' OR pageURL LIKE '/Database%' THEN 'Document' ELSE 'Extraction' END
--order by activity--, username, department,DATEADD(dd, DATEDIFF(d, 0, ActDateTime), 0)
)
,b as
(select activity, count(distinct username) as [Users] ,
--department ,
max([Last Accessed]) as [Last Accessed1],count([count])as [Count],[Type] from a --into #temp1 from #temp
group by activity,
--department,
[Type]
)
select * from b order by activity;
so my question is, HOW do i put the chunk of code above that makes Table1 within the first WITH AS?
Thanks
Group by date and timeWith time grouping, relationships across time-related fields are automatically detected and grouped together when you add rows of time fields to your PivotTables. Once grouped together, you can drag the group to your Pivot Table and start your analysis.
If you don't group by any columns, you'll get a 1-row result—no problem there. If you group by a column with enough unique values that it exceeds the LIMIT number, the aggregates will be calculated, and then some rows will simply be omitted from the results.
The SQL GROUP BY Statement The GROUP BY statement groups rows that have the same values into summary rows, like "find the number of customers in each country". The GROUP BY statement is often used with aggregate functions ( COUNT() , MAX() , MIN() , SUM() , AVG() ) to group the result-set by one or more columns.
The GROUP BY Statement in SQL is used to arrange identical data into groups with the help of some functions. i.e if a particular column has same values in different rows then it will arrange these rows in a group.
You can't GROUP BY activity, document, extraction
within the PIVOT
table operator, the PIVOT
operator infers the grouped columns automatically. But you can write it this way:
WITH Pivoted
AS
(
SELECT *
FROM table1
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;
This will give you:
| PRODUCT | TOTALUSERS | LATESTDATE | DOCUMENT | EXTRACTION |
-------------------------------------------------------------------------------
| prodA | 60 | March, 02 2013 02:00:00+0000 | 113 | 152 |
| prodB | 45 | March, 02 2013 02:00:00+0000 | 40 | 73 |
WITH a
AS(
SELECT
activity,
username,
[Last Accessed] = max(DATEADD(dd,
DATEDIFF(d, 0, ActDateTime),
0)),
--[#Users] = count(distinct username),
CASE
WHEN COUNT(activity) IS NOT NULL THEN 1
ELSE 0
END AS Count,
CASE
WHEN pageURL LIKE '/Document%'
OR pageURL LIKE '/Database%' THEN 'Document'
ELSE 'Extraction'
END AS [Type]
from activitylog
where pageURL not like '%home%'
AND pageURL not like '/Default%'
group by activity,
username,
...
), Pivoted
AS
(
SELECT *
FROM a
PIVOT
(
sum([Count]) FOR [Type] IN ( Document ,
Extraction)
) AS p
)
SELECT
product,
SUM(Users) AS TotalUsers,
MAX(DAte) AS LatestDate,
MAX(Document) AS Document,
MAX(Extraction) AS Extraction
FROM Pivoted
GROUP BY Product;
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