have a query that lists that amount of jobs for each day over a 7 day period.
works fine but it doesn't include 0 results.
what do i need to do get have it include 0 results.
select date_received, count(*)
from calls with (nolock)
where contract = 'BLAH'
and date_received between DATEADD(day,-8,GETDATE()) AND GETDATE()-1
group by date_Received
order by date_received
this query produces results for 6 days, the 7th day has 0 calls, but that day to be included.
If you have a calendar table, you can do:
SELECT A.[Date] date_received,
COUNT(*) N
FROM dbo.Calendar A
LEFT JOIN ( SELECT *
FROM dbo.calls
WHERE contract = 'BLAH') B
ON A.[Date] = B.date_received
WHERE A.[Date] >= DATEADD(DAY,-8,CONVERT(DATE,GETDATE())
AND A.[Date] <= DATEADD(DAY,-1,CONVERT(DATE,GETDATE()))
GROUP BY A.[Date]
If not, you can use a CTE for you calendar table:
;WITH Calendar AS
(
SELECT DATEADD(DAY,-1*number,CONVERT(DATE,GETDATE())) [Date]
FROM master..spt_values
WHERE type = 'P'
AND number BETWEEN 1 AND 8
)
SELECT A.[Date] date_received,
COUNT(*) N
FROM Calendar A
LEFT JOIN ( SELECT *
FROM dbo.calls
WHERE contract = 'BLAH') B
ON A.[Date] = B.date_received
GROUP BY A.[Date]
Related
I have two tables – activity and purchase
Activity table:
user_id date videos_watched
1 2020-01-02 3
1 2020-01-04 5
1 2020-01-07 5
Purchase table:
user_id purchase_date
1 2020-01-01
2 2020-02-02
What I would like to do is to get a 30 day rolling average since purchase on how many videos has been watched.
The base query is like this:
SELECT
DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED)
FROM PURCHASE P
LEFT OUTER JOIN ACTIVITY A ON P.USER_ID = A.USER_ID AND
A.DATE >= P.PURCHASE_DATE AND A.DATE <= DATEADD(DAY, 30, P.PURCHASE_DATE)
GROUP BY 1;
However, the Activity table only has records for each day a video has been logged. I would like to fill in the blanks for days a video has not been viewed.
I have started to look into using a CTE like this:
WITH cte AS (
SELECT date('2020-01-01') as fdate
UNION ALL
SELECT CAST(DATEADD(day,1,fdate) as date)
FROM cte
WHERE fdate < date('2020-04-01')
) select * from cte
cross join purchases p
left outer join activity a
on p.user id = a.user_id
and a.fdate = p.purchase_date
and a.date >= p.purchase_date and a.date <= dateadd(day, 30, p.purchase_date)
The end goal is to have something like this:
days_since_purchase videos_watched
1 3
2 0 --CTE coalesce inserted value
3 0
4 5
Been trying for the last couple of hours to get it right, but still can't really get the hang of it.
If you want to fill in the gaps in the result set, then I think you should be generating integers rather than dates:
WITH cte AS (
SELECT 1 as day_since_purchase
UNION ALL
SELECT 1 + day_since_purchase
FROM cte
WHERE day_since_purchase < 4
)
SELECT cte.day_since_purchase, COALESCE(avg_videos_viewed, 0)
FROM cte LEFT JOIN
(SELECT DATEDIFF(DAY, p.purchase_date, a.date) AS day_since_purchase,
AVG(A.VIDEOS_VIEWED) as avg_videos_viewed
FROM purchases p JOIN
activity a
ON p.user id = a.user_id AND
a.fdate = p.purchase_date AND
a.date >= p.purchase_date AND
a.date <= dateadd(day, 30, p.purchase_date)
GROUP BY 1
) pa
ON pa.day_since_purchase = cte.day_since_purchase;
You can use a recursive query to generate the 30 days following each purchase, then bring the activity table:
with cte as (
select
purchase_date,
client_id,
0 days_since_purchase,
purchase_date dt
from purchases
union all
select
purchase_date,
client_id,
days_since_purchase + 1
dateadd(day, days_since_purchase + 1, purchase_date)
from cte
where days_since_purchase < 30
)
select
c.days_since_purchase,
avg(colaesce(a. videos_watch, 0)) avg_ videos_watch
from cte c
left join activity a
on a.client_id = c.client_id
and a.fdate = c.purchase_date
and a.date = c.dt
group by c.days_since_purchase
Your question is unclear on whether you have a column in the activity table that stores the purchase date each row relates to. Your query has column fdate but not your sample data. I used that column in the query (without such column, you might end up counting the same activity in different purchases).
I have a query where I need to show 24 hour calls for each day.
But I am getting the hours which I have calls only.
My requirement is I need to get all the hours split and 0 if there are no calls.
Please suggest
Below is my code.
select #TrendStartDate
,isd.Name
,isd.Call_ID
,isd.callType
,DATEPART(HOUR,isd.ArrivalTime)
from [PHONE_CALLS] ISD WITH (NOLOCK)
WHERE CallType = 'Incoming'
and Name not in ('DefaultQueue')
and CAST(ArrivalTime as DATe) between #TrendStartDate and #TrendEndDate
The basic idea is that you use a table containing numbers from 0 to 23, and left join that to your data table:
WITH CTE AS
(
SELECT TOP 24 ROW_NUMBER() OVER(ORDER BY ##SPID) - 1 As TheHour
FROM sys.objects
)
SELECT #TrendStartDate
,isd.Name
,isd.Call_ID
,isd.callType
,TheHour
FROM CTE
LEFT JOIN [PHONE_CALLS] ISD WITH (NOLOCK)
ON DATEPART(HOUR,isd.ArrivalTime) = TheHour
AND CallType = 'Incoming'
AND Name NOT IN ('DefaultQueue')
AND CAST(ArrivalTime as DATe) BETWEEN #TrendStartDate AND #TrendEndDate
If you have a tally table, you should use that. If not, the cte will provide you with numbers from 0 to 23.
If you have a numbers table you can use a query like the following:
SELECT d.Date,
h.Hour,
Calls = COUNT(pc.Call_ID)
FROM ( SELECT [Hour] = Number
FROM dbo.Numbers
WHERE Number >= 0
AND Number < 24
) AS h
CROSS JOIN
( SELECT Date = DATEADD(DAY, Number, #TrendStartDate)
FROM dbo.Numbers
WHERE Number <= DATEDIFF(DAY, #TrendStartDate, #TrendEndDate)
) AS d
LEFT JOIN [PHONE_CALLS] AS pc
ON pc.CallType = 'Incoming'
AND pc.Name NOT IN ('DefaultQueue')
AND CAST(pc.ArrivalTime AS DATE) = d.Date
AND DATEPART(HOUR, pc.ArrivalTime) = h.Hour
GROUP BY d.Date, h.Hour
ORDER BY d.Date, h.Hour;
The key is to get all the hours you need:
SELECT [Hour] = Number
FROM dbo.Numbers
WHERE Number >= 0
AND Number < 24
And all the days that you need in your range:
SELECT Date = DATEADD(DAY, Number, #TrendStartDate)
FROM dbo.Numbers
WHERE Number < DATEDIFF(DAY, #TrendStartDate, #TrendEndDate)
Then cross join the two, so that you are guaranteed to have all 24 hours for each day you want. Finally, you can left join to your call table to get the count of calls.
Example on DB<>Fiddle
You can use SQL SERVER recursivity with CTE to generate the hours between 0 and 23 and then a left outer join with the call table
You also use any other Method mentioned in this link to generate numbers from 0 to 23
Link to SQLFiddle
set dateformat ymd
declare #calls as table(date date,hour int,calls int)
insert into #calls values('2020-01-02',0,66),('2020-01-02',1,888),
('2020-01-02',2,5),('2020-01-02',3,8),
('2020-01-02',4,9),('2020-01-02',5,55),('2020-01-02',6,44),('2020-01-02',7,87),('2020-01-02',8,90),
('2020-01-02',9,34),('2020-01-02',10,22),('2020-01-02',11,65),('2020-01-02',12,54),('2020-01-02',13,78),
('2020-01-02',23,99);
with cte as (select 0 n,date from #calls union all select 1+n,date from cte where 1+n <24)
select distinct(cte.date),cte.n [Hour],isnull(ca.calls,0) calls from cte left outer join #calls ca on cte.n=ca.hour and cte.date=ca.date
I have a table which has the following columns: DeskID *, ProductID *, Date *, Amount (where the columns marked with * make the primary key). The products in use vary over time, as represented in the image below.
Table format on the left, and a (hopefully) intuitive representation of the data on the right for one desk
The objective is to have the sum of the latest amounts of products by desk and date, including products which are no longer in use, over a date range.
e.g. using the data above the desired table is:
So on the 1st Jan, the sum is 1 of Product A
On the 2nd Jan, the sum is 2 of A and 5 of B, so 7
On the 4th Jan, the sum is 1 of A (out of use, so take the value from the 3rd), 5 of B, and 2 of C, so 8 in total
etc.
I have tried using a partition on the desk and product ordered by date to get the most recent value and turned the following code into a function (Function1 below) with #date Date parameter
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum' from (
select #date 'Date', t.DeskID, t.ProductID, t.Amount
, row_number() over (partition by t.DeskID, t.ProductID order by t.Date desc) as roworder
from Table1 t
where 1 = 1
and t.Date <= #date
) t
where t.roworder = 1
group by t.DeskID
And then using a utility calendar table and cross apply to get the required values over a time range, as below
select * from Calendar c
cross apply Function1(c.CalendarDate)
where c.CalendarDate >= '20190101' and c.CalendarDate <= '20191009'
This has the expected results, but is far too slow. Currently each desk uses around 50 products, and the products roll every month, so after just 5 years each desk has a history of ~3000 products, which causes the whole thing to grind to a halt. (Roughly 30 seconds for a range of a single month)
Is there a better approach?
Change your function to the following should be faster:
select #date 'Date', t.DeskID, SUM(t.Amount) 'Sum'
FROM (SELECT m.DeskID, m.ProductID, MAX(m.[Date) AS MaxDate
FROM Table1 m
where m.[Date] <= #date) d
INNER JOIN Table1 t
ON d.DeskID=t.DeskID
AND d.ProductID=t.ProductID
and t.[Date] = d.MaxDate
group by t.DeskID
The performance of TVF usually suffers. The following removes the TVF completely:
-- DROP TABLE Table1;
CREATE TABLE Table1 (DeskID int not null, ProductID nvarchar(32) not null, [Date] Date not null, Amount int not null, PRIMARY KEY ([Date],DeskID,ProductID));
INSERT Table1(DeskID,ProductID,[Date],Amount)
VALUES (1,'A','2019-01-01',1),(1,'A','2019-01-02',2),(1,'B','2019-01-02',5),(1,'A','2019-01-03',1)
,(1,'B','2019-01-03',4),(1,'C','2019-01-03',3),(1,'B','2019-01-04',5),(1,'C','2019-01-04',2),(1,'C','2019-01-05',2)
GO
DECLARE #StartDate date=N'2019-01-01';
DECLARE #EndDate date=N'2019-01-05';
;WITH cte_p
AS
(
SELECT DISTINCT DeskID,ProductID
FROM Table1
WHERE [Date] <= #EndDate
),
cte_a
AS
(
SELECT #StartDate AS [Date], p.DeskID, p.ProductID, ISNULL(a.Amount,0) AS Amount
FROM (
SELECT t.DeskID, t.ProductID
, MAX(t.Date) AS FirstDate
FROM Table1 t
WHERE t.Date <= #StartDate
GROUP BY t.DeskID, t.ProductID) f
INNER JOIN Table1 a
ON f.DeskID=a.DeskID
AND f.ProductID=a.ProductID
AND f.[FirstDate]=a.[Date]
RIGHT JOIN cte_p p
ON p.DeskID=a.DeskID
AND p.ProductID=a.ProductID
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], t.DeskID, t.ProductID, t.Amount
FROM Table1 t
INNER JOIN cte_a a
ON t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date])
WHERE a.[Date]<#EndDate
UNION ALL
SELECT DATEADD(DAY,1,a.[Date]) AS [Date], a.DeskID, a.ProductID, a.Amount
FROM cte_a a
WHERE NOT EXISTS(SELECT 1 FROM Table1 t
WHERE t.DeskID=a.DeskID
AND t.ProductID=a.ProductID
AND t.[Date] > a.[Date]
AND t.[Date] <= DATEADD(DAY,1,a.[Date]))
AND a.[Date]<#EndDate
)
SELECT [Date], DeskID, SUM(Amount)
FROM cte_a
GROUP BY [Date], DeskID;
I have a table of items that, for sake of simplicity, contains the ItemID, the StartDate, and the EndDate for a list of items.
ItemID StartDate EndDate
1 1/1/2011 1/15/2011
2 1/2/2011 1/14/2011
3 1/5/2011 1/17/2011
...
My goal is to be able to join this table to a table with a sequential list of dates,
and say both how many items are open on a particular date, and also how many items are cumulatively open.
Date ItemsOpened CumulativeItemsOpen
1/1/2011 1 1
1/2/2011 1 2
...
I can see how this would be done with a WHILE loop,
but that has performance implications. I'm wondering how
this could be done with a set-based approach?
SELECT COUNT(CASE WHEN d.CheckDate = i.StartDate THEN 1 ELSE NULL END)
AS ItemsOpened
, COUNT(i.StartDate)
AS ItemsOpenedCumulative
FROM Dates AS d
LEFT JOIN Items AS i
ON d.CheckDate BETWEEN i.StartDate AND i.EndDate
GROUP BY d.CheckDate
This may give you what you want
SELECT DATE,
SUM(ItemOpened) AS ItemsOpened,
COUNT(StartDate) AS ItemsOpenedCumulative
FROM
(
SELECT d.Date, i.startdate, i.enddate,
CASE WHEN i.StartDate = d.Date THEN 1 ELSE 0 END AS ItemOpened
FROM Dates d
LEFT OUTER JOIN Items i ON d.Date BETWEEN i.StartDate AND i.EndDate
) AS x
GROUP BY DATE
ORDER BY DATE
This assumes that your date values are DATE data type. Or, the dates are DATETIME with no time values.
You may find this useful. The recusive part can be replaced with a table. To demonstrate it works I had to populate some sort of date table. As you can see, the actual sql is short and simple.
DECLARE #i table (itemid INT, startdate DATE, enddate DATE)
INSERT #i VALUES (1,'1/1/2011', '1/15/2011')
INSERT #i VALUES (2,'1/2/2011', '1/14/2011')
INSERT #i VALUES (3,'1/5/2011', '1/17/2011')
DECLARE #from DATE
DECLARE #to DATE
SET #from = '1/1/2011'
SET #to = '1/18/2011'
-- the recusive sql is strictly to make a datelist between #from and #to
;WITH cte(Date)
AS (
SELECT #from DATE
UNION ALL
SELECT DATEADD(day, 1, DATE)
FROM cte ch
WHERE DATE < #to
)
SELECT cte.Date, sum(case when cte.Date=i.startdate then 1 else 0 end) ItemsOpened, count(i.itemid) ItemsOpenedCumulative
FROM cte
left join #i i on cte.Date between i.startdate and i.enddate
GROUP BY cte.Date
OPTION( MAXRECURSION 0)
If you are on SQL Server 2005+, you could use a recursive CTE to obtain running totals, with the additional help of the ranking function ROW_NUMBER(), like this:
WITH grouped AS (
SELECT
d.Date,
ItemsOpened = COUNT(i.ItemID),
rn = ROW_NUMBER() OVER (ORDER BY d.Date)
FROM Dates d
LEFT JOIN Items i ON d.Date BETWEEN i.StartDate AND i.EndDate
GROUP BY d.Date
WHERE d.Date BETWEEN #FilterStartDate AND #FilterEndDate
),
cumulative AS (
SELECT
Date,
ItemsOpened,
ItemsOpenedCumulative = ItemsOpened
FROM grouped
WHERE rn = 1
UNION ALL
SELECT
g.Date,
g.ItemsOpened,
ItemsOpenedCumulative = g.ItemsOpenedCumulative + c.ItemsOpened
FROM grouped g
INNER JOIN cumulative c ON g.Date = DATEADD(day, 1, c.Date)
)
SELECT *
FROM cumulative
Yesterday Thomas helped me a lot by providing exactly the query I wanted. And now I need a variant of it, and hopes someone can help me out.
I want it to output only one row, namely a max value - but it has to build on the algorithm in the following query:
WITH Calendar AS (SELECT CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT DATEADD(d, 1, Date) AS Expr1
FROM Calendar AS Calendar_1
WHERE (DATEADD(d, 1, Date) < #EndDate))
SELECT C.Date, C2.Country, COALESCE (SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM Calendar AS C CROSS JOIN
Country AS C2 LEFT OUTER JOIN
Requests AS R ON C.Date BETWEEN R.[Start date] AND R.[End date] AND R.CountryID = C2.CountryID
WHERE (C2.Country = #Country)
GROUP BY C.Date, C2.Country OPTION (MAXRECURSION 0)
The output from above will be like:
Date Country Allocated testers
06/01/2010 Chile 3
06/02/2010 Chile 4
06/03/2010 Chile 0
06/04/2010 Chile 0
06/05/2010 Chile 19
but what I need right now is
Allocated testers
19
that is - only one column - one row - the max value itself... (for the (via parameters (that already exists)) selected period of dates and country)
use order and limit
ORDER BY 'people needed DESC' LIMIT 1
EDITED
as LIMIT is not exist in sql
use ORDER BY and TOP
select TOP 1 .... ORDER BY 'people needed' DESC
WITH Calendar
AS (
SELECT
CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT
DATEADD(d, 1, Date) AS Expr1
FROM
Calendar AS Calendar_1
WHERE
( DATEADD(d, 1, Date) < #EndDate )
)
SELECT TOP 1 *
FROM
(
SELECT
C.Date
,C2.Country
,COALESCE(SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM
Calendar AS C
CROSS JOIN Country AS C2
LEFT OUTER JOIN Requests AS R
ON C.Date BETWEEN R.[Start date] AND R.[End date]
AND R.CountryID = C2.CountryID
WHERE
( C2.Country = #Country )
GROUP BY
C.Date
,C2.Country
OPTION
( MAXRECURSION 0 )
) lst
ORDER BY lst.[Allocated testers] DESC
Full example following the discussion in #Salil answer..
WITH Calendar AS (SELECT CAST(#StartDate AS datetime) AS Date
UNION ALL
SELECT DATEADD(d, 1, Date) AS Expr1
FROM Calendar AS Calendar_1
WHERE (DATEADD(d, 1, Date) < #EndDate))
SELECT TOP 1 C.Date, C2.Country, COALESCE (SUM(R.[Amount of people per day needed]), 0) AS [Allocated testers]
FROM Calendar AS C CROSS JOIN
Country AS C2 LEFT OUTER JOIN
Requests AS R ON C.Date BETWEEN R.[Start date] AND R.[End date] AND R.CountryID = C2.CountryID
WHERE (C2.Country = #Country)
GROUP BY C.Date, C2.Country
ORDER BY 3 DESC
OPTION (MAXRECURSION 0)
the ORDER BY 3 means order by the 3rd field in the SELECT statement.. so if you remove the first two fields, change this accordingly..