I have the following query which counts the number of items created on a particular date in the last 10 days
SELECT
CONVERT (DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688) AS 'Logged Date',
Count (*) AS 'Total'
FROM
MTV_System$WorkItem$Incident
WHERE
CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688 >= DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 10, 0)
GROUP BY
CONVERT(DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688)
How do I get this to show the dates which have no values present (i.e. get every date value for the last 10 days, return the count if there is data or 0 if none). Using SQL Server 2012.
You can write a recursive cte to get the date for the last 10 days into a table as follows:
WITH TableA (StartDate) AS (SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 10, 0)),
q as (
SELECT StartDate
, Number = 0
FROM TableA
UNION ALL
SELECT DATEADD(d,1,StartDate)
, Number = Number + 1
FROM q
WHERE 10 > Number )
Then join q with your original query, to get a row for every date.
select q.StartDate, yourtable.Total from q
left join (
SELECT
CONVERT (DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688) AS 'Logged Date',
Count (*) AS 'Total'
FROM
MTV_System$WorkItem$Incident
WHERE
CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688 >= DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 10, 0)
GROUP BY
CONVERT(DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688)
) as yourtable on [Logged Date] = q.StartDate
Similar to BeanFrog's answer but a little shorter
-- sample data for testing
declare #MTV_System$WorkItemIncident table (
[CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688] DATE,
[Total] INT
);
INSERT INTO #MTV_System$WorkItemIncident VALUES ('2015-11-23', 23);
INSERT INTO #MTV_System$WorkItemIncident VALUES ('2015-11-21', 21);
INSERT INTO #MTV_System$WorkItemIncident VALUES ('2015-11-30', 30);
-- now the query
WITH TableA (LoggedDate) AS (
SELECT TOP 10 CONVERT (DATE, DATEADD(DAY, number * -1, GETDATE())) AS 'LoggedDate'
FROM master.dbo.spt_values
WHERE name IS NULL
)
SELECT TableA.[LoggedDate],
SUM(ISNULL(Data.Total, 0)) AS 'LoggedCount'
FROM TableA
LEFT JOIN #MTV_System$WorkItemIncident AS Data ON CONVERT (DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688) = TableA.[LoggedDate]
GROUP BY TableA.[LoggedDate]
Not that there is anything wrong with BeanFrog's answer, but if you don't want to use a recursive cte you could do this:
CREATE TABLE MTV_System$WorkItem$Incident (id int PRIMARY KEY, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688 datetime)
INSERT INTO MTV_System$WorkItem$Incident VALUES (1, '20151201')
INSERT INTO MTV_System$WorkItem$Incident VALUES (2, '20151126')
INSERT INTO MTV_System$WorkItem$Incident VALUES (3, '20151127')
INSERT INTO MTV_System$WorkItem$Incident VALUES (4, '20151127')
SELECT
ReportDate AS 'Logged Date',
Count (CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688) AS 'Total'
FROM (
SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 0, 0) AS ReportDate
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 1, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 2, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 3, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 4, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 5, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 6, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 7, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 8, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 9, 0)
UNION SELECT DATEADD(DAY, DATEDIFF(DAY, 0, Getdate()) - 10, 0)
) AS Dates
LEFT JOIN MTV_System$WorkItem$Incident ON ReportDate = CONVERT(DATE, CreatedDate_6258638D_B885_AB3C_E316_D00782B8F688)
GROUP BY ReportDate
BeanFrog's answer has the advantage of being able to easily change the number of days though.
Related
I have a problem with the SQL Except statement, in my case, I select two columns and one column can have values and the others cannot have because the count of the first SQL statement equals the count of the second SQL after the except statement.
Result that I got :
GroupId absences
1 3
Expected result
GroupId absences
1 3
2 0
How can I do in this case?
select
groupId,
(case when groupId = null then 0 else COUNT(*) end) as absence
from (
select
groupId,
COUNT(*) as absences1
from (
select distinct
MONTh,
DAY,
e.groupId
from employee_c c,
holiday hl,
employee e,
groups,
Get_Calendar_Date(
DATEADD(MONTH, DATEDIFF(MONTH, 0, CAST(DATEADD(yy, DATEDIFF(yy, 0, GETDATE()), 0) AS datetime)) + #Month - 1, 0),
DATEADD(MONTH, DATEDIFF(MONTH, -1, CAST(DATEADD(yy, DATEDIFF(yy, 0, GETDATE()), 0) AS datetime)) + #Month-1, -1)
)
where DATENAME(DD, Weekday) IN (
select WorkingdayId+1
from timetable s,
groups ds,
grouptime de
where dd.groupId = ds.groupId
and dd.groupId = de.groupId
and s.timetableId = de.timetableId
and de.groupId = ds.groupdId)
and DATEPART(MM,hl.startDate) = #Month
and c.isActive=1
except
(select Month,
Day,
d.departmentId
from department d,
Get_Calendar_Date(
DATEADD(MONTH, DATEDIFF(MONTH, 0, CAST(DATEADD(yy, DATEDIFF(yy, 0, GETDATE()), 0) AS datetime)) + #Month - 1, 0),
DATEADD(MONTH, DATEDIFF(MONTH, -1, CAST(DATEADD(yy, DATEDIFF(yy, 0, GETDATE()), 0) AS datetime)) + #Month - 1, -1)
),
holiday hle,
employee_c c,
employee e
where datepart(MM,hle.startDate) = #Month
and cast(Date as date) between hle.startDate and hle.endDate
and c.isActive=1
and d.groupId =e.groupId
and c.employeeId=e.employeeId
and c.isActive=1
)
) sc
group by Month,Day,groupId
) s
group by groupId
I'm trying to write a stored procedure which groups up rows based on their month and return a sum of all items if they exist and 0 if they don't.
For the date part of the query, what I am trying to get is today's date - extract the month and go back 5 months to gather any data if it exists.
At this stage, the query runs fine as is but I'm wondering if there's any way to optimise this as it looks like I'm running the same set of data over and over again and also it's hard coded to an extent.
The dataset I am trying to achieve is as follows:
Month TotalAmount TotalCount
-----------------------------------
2017-11 0 0
2017-12 200.00 2
2018-01 300.00 3
2018-02 0 0
2018-03 300.00 3
2018-04 100.00 1
Using the following query below, I was able to achieve what I want but as you can see, it's hard coding back the past 5 months so if I wanted to go back 12 months, I'd have to add in more code.
DECLARE #5MonthAgo date = CAST(DATEADD(MONTH, -5, GETDATE()) + 1 - DATEPART(DAY, DATEADD(MONTH, -5, GETDATE())) AS DATE)
DECLARE #4MonthAgo date = CAST(DATEADD(MONTH, -4, GETDATE()) + 1 - DATEPART(DAY, DATEADD(MONTH, -4, GETDATE())) AS DATE)
DECLARE #3MonthAgo date = CAST(DATEADD(MONTH, -3, GETDATE()) + 1 - DATEPART(DAY, DATEADD(MONTH, -3, GETDATE())) AS DATE)
DECLARE #2MonthAgo date = CAST(DATEADD(MONTH, -2, GETDATE()) + 1 - DATEPART(DAY, DATEADD(MONTH, -2, GETDATE())) AS DATE)
DECLARE #1MonthAgo date = CAST(DATEADD(MONTH, -1, GETDATE()) + 1 - DATEPART(DAY, DATEADD(MONTH, -1, GETDATE())) AS DATE)
DECLARE #CurrentMonth date = CAST(GETDATE() + 1 - DATEPART(DAY, GETDATE()) AS DATE)
-- Table to return grouped and sum data
DECLARE #StatsTable TABLE ([Month] DATE,
[Total Amount] DECIMAL(18,2),
[Total Count] INT
)
-- Temporary table to hold onto data batch - so table isn't used later on
DECLARE #TempGenTable TABLE ([Id] INT,
[Date] DATETIME,
[Lines] INT NULL,
[Amount] DECIMAL(18, 2) NULL
)
INSERT INTO #TempGenTable
SELECT
Id, Date, Lines, Amount
FROM
TallyTable
WHERE
Date >= #5MonthAgo
INSERT INTO #StatsTable
SELECT
#5MonthAgo,
COALESCE((SELECT SUM(Amount)
FROM #TempGenTable
WHERE Date >= #5MonthAgo AND Date < #4MonthAgo
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Date), 0)), 0),
COALESCE((SELECT COUNT(Id)
FROM #TempGenTable
WHERE Date >= #5MonthAgo AND Date < #4MonthAgo
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Date), 0)), 0)
UNION
SELECT
#4MonthAgo,
COALESCE((SELECT SUM(Amount)
FROM #TempGenTable
WHERE Date >= #4MonthAgo AND Date < #3MonthAgo
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Date), 0)), 0),
COALESCE((SELECT COUNT(Id)
FROM #TempGenTable
WHERE Date >= #4MonthAgo AND Date < #3MonthAgo
GROUP BY DATEADD(MONTH, DATEDIFF(MONTH, 0, Date), 0)), 0)
...
Is there an easier way to be able to get the above data with more flexibility in the number of months?
Is it better to just have the query pass in a month variable and it checks just the current month and have a loop within the controller to go back x number of months?
I would generate the data using a recursive CTE and then use left join:
with months as (
select datefromparts(year(getdate()), month(getdate()), 1) as month_start, 5 as n
union all
select dateadd(month, -1, month_start), n - 1
from months
where n > 0
)
select m.month_start, count(s.id), sum(s.amount)
from months m left join
#StatsTable s
on m.month_start = s.month
group by m.month_start
order by m.month_start;
You haven't provided sample data, so I'm not sure what s.month looks like. You might want the join condition to be:
on s.month >= m.month_start and s.month < dateadd(month, 1, m.month_start)
Below is a set-based method to generate the needed monthly periods:
--sample data
CREATE TABLE dbo.TallyTable (
Id int
, Date datetime
, Lines int
, Amount decimal(18, 2)
);
INSERT INTO dbo.TallyTable
VALUES
(1, '2017-12-05', 1, 50.00)
,(2, '2017-12-06', 1, 150.00)
,(3, '2018-01-10', 1, 100.00)
,(4, '2018-01-11', 1, 100.00)
,(5, '2018-01-12', 1, 100.00)
,(6, '2018-03-15', 1, 225.00)
,(7, '2018-03-15', 1, 25.00)
,(8, '2018-03-15', 1, 50.00)
,(9, '2018-04-20', 1, 100.00);
GO
DECLARE #Months int = 5; --number of historical months
WITH
t10 AS (SELECT n FROM (VALUES(0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) t(n))
,t100 AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT 0)) - 1 AS num FROM t10 AS a CROSS JOIN t10 AS b)
, periods AS (SELECT
CONVERT(varchar(7), DATEADD(month, DATEDIFF(month, '', GETDATE()) - num, ''),121) AS Month
, DATEADD(month, DATEDIFF(month, '', CAST(GETDATE() AS date)) - num, '') AS PeriodStart
, DATEADD(month, DATEDIFF(month, '', CAST(GETDATE() AS date)) - num + 1, '') AS NextPeriodStart
FROM t100
WHERE num <= #Months
)
SELECT periods.Month, COALESCE(SUM(Amount), 0) AS TotalAmount, COALESCE(COUNT(ID), 0) AS TotalCount
FROM periods
LEFT JOIN dbo.TallyTable ON
TallyTable.Date >= PeriodStart
AND TallyTable.Date < NextPeriodStart
GROUP BY periods.Month
ORDER BY periods.Month;
Please use following sample data.
declare #tbl table (id int, fid int, arrival datetime, created datetime)
insert into #tbl select 1, 10, DATEADD(dd, -10, GETDATE()), DATEADD(dd, -6, getdate())
insert into #tbl select 1, 10, DATEADD(dd, -10, GETDATE()), DATEADD(dd, -6, getdate())
insert into #tbl select 1, 10, DATEADD(dd, -10, GETDATE()), null
insert into #tbl select 2, 20, DATEADD(dd, -3, GETDATE()), DATEADD(dd, -2, getdate())
insert into #tbl select 2, 20, DATEADD(dd, -3, GETDATE()), null
I would like to have all rows between arrival '2011-02-25' and '2011-02-28' which created after this date '2011-02-20' including created date null.
Query1:
select * from #tbl
where arrival >= '2011-02-25' and arrival < '2011-02-28'
and created >= '2011-02-20'
Above query fetch two rows but I need 3rd row of FID = 10 which has created date null
Qery2: select row of FID = 20 which I don't need because it is not in range of Arrival date.
select * from #tbl
where arrival >= '2011-02-25' and arrival < '2011-02-28'
and created >= '2011-02-20' OR created is null
This is sample data. The original query fetch data from different table and has joins with 10+ tables so I don't want to run query again to include rows in temp table.
Thanks.
EDIT:
Sorry, wanted to ask this but put wrong question. Thanks for your help.
declare #tbl table (id int, fid int, arrival datetime, created datetime)
insert into #tbl select 1, 10, DATEADD(dd, -10, GETDATE()), DATEADD(dd, -6, getdate())
insert into #tbl select 1, 10, DATEADD(dd, -10, GETDATE()), DATEADD(dd, -6, getdate())
insert into #tbl select 1, 10, null, DATEADD(dd, -6, getdate())
insert into #tbl select 2, 20, DATEADD(dd, -3, GETDATE()), DATEADD(dd, -2, getdate())
insert into #tbl select 2, 20, null, DATEADD(dd, -2, getdate())
select * from #tbl
where arrival >= '2011-02-26' and arrival < '2011-02-28'
Need the third row of fid = 10 too where arrival date is NULL
This might do what you want.
;with cte as
(
select distinct fid
from #tbl
where
arrival >= '2011-02-26' and
arrival < '2011-02-28'
)
select *
from cte as C
inner join #tbl as T
on C.fid = T.fid
where
(arrival >= '2011-02-26' and
arrival < '2011-02-28') or
arrival is null
I think should work:
select * from #tbl
where (arrival >= '2011-02-25' and arrival < '2011-02-28')
and (created >= '2011-02-20' or created is Null)
As per your Edit you will need to do this:
select * from #tbl
where ((arrival >= '2011-02-25' and arrival < '2011-02-28') or arrival is null)
and (created >= '2011-02-20' or created is Null)
This will return the 3rd FID = 10 row, however it will also return the row ID = 2 and FID = 20 because that row also satisfies the filter conditions.
This is a slightly different take from the more obvious answers posted above
select * from #tbl
where arrival >= '2011-02-25' and arrival < '2011-02-28'
and COALESCE(created,'2011-02-25') >= '2011-02-20'
Lets say I have a table with the following columns:
Qty, INTEGER
SaleDate, DATETIME
I would now like to see this result:
Sold in the last 7 days | Sold in last 14 days
-----------------------------------------------------
10 | 20
I can use a where clause to use between, however how would I get the qty sold for 7 and 14 days?
Filter in the WHERE clause to get days 0 to -14. Then aggregate on days 0 to -7 separately.
SELECT
...,
SUM(CASE WHEN SaleDate >= DATEADD(day, -7, GETDATE()) THEN 1 ELSE 0 END) AS 7days,
COUNT(*) AS 14days
FROM
MyTable
WHERE
SaleDate >= DATEADD(day, -14, GETDATE())
GROUP BY
...
Tested in MS T-SQL 2003
declare #whatever table(
qty int,
saledate datetime
)
insert into #whatever select 1, getdate()
insert into #whatever select 2, dateadd(dd, -1, getdate())
insert into #whatever select 2, dateadd(dd, -2, getdate())
insert into #whatever select 1, dateadd(dd, -3, getdate())
insert into #whatever select 1, dateadd(dd, -4, getdate())
insert into #whatever select 1, dateadd(dd, -5, getdate())
insert into #whatever select 1, dateadd(dd, -6, getdate())
insert into #whatever select 1, dateadd(dd, -7, getdate())
insert into #whatever select 1, dateadd(dd, -8, getdate())
insert into #whatever select 1, dateadd(dd, -9, getdate())
insert into #whatever select 2, dateadd(dd, -10, getdate())
insert into #whatever select 2, dateadd(dd, -11, getdate())
insert into #whatever select 1, dateadd(dd, -15, getdate())
insert into #whatever select 2, dateadd(dd, -16, getdate())
select
qty,
sum(
case
when datediff(dd, saledate, getdate()) between 0 and 7 then 1
else 0
end
) as [Sold in last 7 days],
sum(
case
when datediff(dd, saledate, getdate()) between 0 and 14 then 1
else 0
end
) as [Sold in last 14 days]
from
#whatever
group by
qty
;
select sum(Qty), datediff(w, getdate(), SaleDate) as Period
from table
group by datediff(ww, getdate(), SaleDate)
I am wanting to perform a Threshold query, whereby one would take the Value of a field from Today, and compare it to the value from yesterday, this query would look something like this, but obviously, it is wrong, and I can't find how to do it:
select
TableB.Name,
TableA.Charge,
(
select Charge
from TableA
where (DateAdded >= '13/10/2009' and DateAdded < '14/10/2009')
)
from TableA
inner join
TableB on TableB.ID = TableA.ID
where
TableA.DateAdded >= '10/14/2009'
order by
Name asc
Just a quick note, I am looking for two CHARGE fields, not the dates. The date manipulation is simply for Today and Yesterday, nothing more.
At the end of this, I want to do a calculation on the two returned charge fields, so if its easier to show that, that would also be great.
Thanks in advance
Kyle
EDIT1:
The data I am looking for is like so:
Yesterday, we input a charge of 500 to MachineA
Today we input a charge of 300 to MachineA
We run the query, and results I need are as follows:
Name = MachineA
Charge = 300
YesterdayCharge = 500
If you really need previous date (including weekends etc), then following query should do the job. Otherwise please post data samples and expected results:
SELECT TableB.Name,
TableA.Charge,
prev.Charge AS PrevCharge
FROM TableA
INNER JOIN TableB
ON TableA.ID = TableB.ID
LEFT JOIN TableA prev
ON TableA.ID = prev.ID
--// use this if DateAdded contains only date
--AND TableA.DateAdded = DATEADD(day, +1, prev.dateAdded)
--// use this if DateAdded contains also time component
AND CONVERT(DATETIME, CONVERT(CHAR(8), TableA.DateAdded, 112), 112) = DATEADD(day, +1, CONVERT(DATETIME, CONVERT(CHAR(8), prev.dateAdded, 112), 112))
edit-1: added option in JOIN for cases when DateAdded contains time as well
something like this?
SELECT
B.Name,
A.Charge,
DATEPART(day, A.DateAdded) as day
FROM
TableA A, Table B
WHERE
B.ID = A.ID AND
A.DateAdded BETWEEN DATEADD(day, -1, GETDATE()) AND GETDATE()
GROUP BY
B.Name,
A.Charge,
A.DateAdded
Try this:
DECLARE #ValuesTable TABLE(Name VARCHAR(20), Charge INT, DateAdded DATETIME)
INSERT INTO #ValuesTable
SELECT 'Name1', 10, DATEADD(dd, 2, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name2', 20, DATEADD(dd, 2, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name1', 30, DATEADD(dd, 1, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name2', 40, DATEADD(dd, 1, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name1', 50, DATEADD(dd, 0, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name2', 60, DATEADD(dd, 0, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name1', 70, DATEADD(dd, -1, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name3', 80, DATEADD(dd, -1, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name1', 90, DATEADD(dd, -2, DATEDIFF(dd, 0, GETDATE())) UNION
SELECT 'Name2', 100, DATEADD(dd, -2, DATEDIFF(dd, 0, GETDATE()))
SELECT
ISNULL(T.Name,Y.Name) AS Name,
SUM(ISNULL(Y.Charge,0)) AS Yesterday, SUM(ISNULL(T.Charge,0)) AS Today,
SUM(ISNULL(T.Charge,0)) - SUM(ISNULL(Y.Charge,0)) AS Diff
FROM(
SELECT Name, Charge
FROM #ValuesTable
WHERE DateAdded BETWEEN DATEADD(day, -2, GETDATE())
AND DATEADD(day, -1, GETDATE())
) AS Y
FULL JOIN(
SELECT Name, Charge
FROM #ValuesTable
WHERE DateAdded BETWEEN DATEADD(day, -1, GETDATE()) AND GETDATE()
) AS T ON ISNULL(T.Name,Y.Name) = ISNULL(Y.Name,T.Name)
GROUP BY ISNULL(T.Name,Y.Name) , ISNULL(Y.Name,T.Name)
It may be just a typo in SO but if you are using date strings '14/10/2009' and '10/14/2009' in the same query it will never work.
No matter which date format you are using one of them has too many months in it.