My problem:
Table: trans_detail:
PhoneNo | Datetime
01234 | 2013-01-05 20:40:10
01245 | 2013-04-02 21:00:13
05678 | 2013-04-16 01:24:07
04567 | 2013-07-23 07:00:00
etc | etc
I want to get all phoneNo that appears at least once for every month in the last X month (X month can be any month between 1-12).
For example: get all phone no. that appears at least once for Every Month in the last 3 months.
I am using SQL Server 2005.
Here is a quick query that comes close to what you want:
select PhoneNo
from trans_detail d
where d.datetime >= dateadd(mm, -#X, getdate())
group by PhoneNo
having count(distinct year(datetime)*12+month(datetime)) = #X
The where clause filters the data to only include rows in the last #X months. the having clause checks that each month is in the data, by counting the number of distinct months.
The above version of the query assumes that you mean calendar months. So, it has boundary condition problems. If you run it on June 16th, then it looks back one month and makes sure that the phone number appears at least once since May 16th. I am unclear on whether you want to insist that the number appear twice (once in May and once in June) or if once (once during the time period). The solution to this is to move the current date back to the end of the previous month:
select PhoneNo
from trans_detail d cross join
(select cast(getdate() - day(getdate) + 1 as date) as FirstOfMonth const
where d.datetime >= dateadd(mm, -#X, FirstOfMonth) and
d.datetime < FirstOfMonth
group by PhoneNo
having count(distinct year(datetime)*12+month(datetime)) = #X
Here it is. First two CTEs are to find and prepare last X months, third CTE is to group your data by phones and months. At the end just join the two and return where number of matching rows are equal to number of months.
DECLARE #months INT
SET #Months = 3
;WITH CTE_Dates AS
(
SELECT GETDATE() AS Dt
UNION ALL
SELECT DATEADD(MM,-1,Dt) FROM CTE_Dates
WHERE DATEDIFF(MM, Dt,GETDATE()) < #months-1
)
, CTE_Months AS
(
SELECT MONTH(Dt) AS Mn, YEAR(Dt) AS Yr FROM CTE_Dates
)
, CTE_Trans AS
(
SELECT PhoneNo, MONTH([Datetime]) AS Mn, YEAR([Datetime]) AS Yr FROM dbo.trans_detail
GROUP BY PhoneNo, MONTH([Datetime]), YEAR([Datetime])
)
SELECT PhoneNo FROM CTE_Months m
LEFT JOIN CTE_Trans t ON m.Mn = t.Mn AND m.Yr = t.Yr
GROUP BY PhoneNo
HAVING COUNT(*) = #months
SQLFiddle Demo - with added some more data that will match for last 3 months
Related
In a table containing Order information (call it Order) we have the following fields:
OrderId int
OrderDate Date
BindingTime int
Binding time is in months.
An order is called "Active" between its OrderDate and DATEADD(mm, BindingTime, OrderDate).
What I'd like to do is to group the orders by year so that if an order is "active" on the first day of a year it would be taken into account. The aim is to calculate each year's inbound and outbound orders. So the query result will be COUNT of orders and the year. And by year we mean the number of orders which were active on the first day of that year.
Mind that, we would like to have all the years between two given numbers in our results. E.g. If there was no active order on the first day of 2016 we would still like to to have a row for (0, 2016).
I've used a recursive CTE to generate a range of years, so that a 'zero' year will not be omitted
declare #YEAR1 as date = '20110101';
declare #YEAR2 as date = '20190101';
WITH YEARS AS (SELECT #YEAR1 y
UNION ALL
SELECT dateadd(year,1,y) FROM YEARS WHERE y < #YEAR2)
SELECT YEARS.y,count(0) YearStartActiveOrders FROM YourTable
CROSS JOIN YEARS
WHERE YEARS.y BETWEEN CAST(orderdate as date)
AND CAST(DATEADD(mm, BindingTime, OrderDate) as date)
GROUP BY Years.y
Seems like what you need is a Date table (having a list of all days per year) and left joining that table with your grouped data (active order count, per day of the year).
You can use this date table from Aaron Bertrand. I generated the #dim table with the following params, to only generate two years data (2015, 2016):
DECLARE #StartDate DATE = '20150101', #NumberOfYears INT = 2;
Then you can do the following:
with ordertable as
(
select 1 as orderid, '20160101' as orderdate, 2 as bindingtime union all
select 2, '20160305', 3 union all
select 3, '20160305', 5 union all
select 4, '20150305', 5
)
select d.year, isnull(count(orderid), 0) nrActiveOrdersFirstDayOfYear
from #dim d
left join ordertable g on d.year = year(g.orderdate)
and g.orderdate = d.date
and d.FirstOfYear between g.orderdate and DATEADD(mm, g.bindingtime, OrderDate)
group by d.year
With the sample data I took as an example, you would get the result:
year nrActiveOrdersFirstDayOfYear
2015 0
2016 1
Working demo here.
I have a T-SQL Quotes table and need to be able to count how many quotes were in an open status during past months.
The dates I have to work with are an 'Add_Date' timestamp and an 'Update_Date' timestamp. Once a quote is put into a 'Closed_Status' of '1' it can no longer be updated. Therefore, the 'Update_Date' effectively becomes the Closed_Status timestamp.
I'm stuck because I can't figure out how to select all open quotes that were open in a particular month.
Here's a few example records:
Quote_No Add_Date Update_Date Open_Status Closed_Status
001 01-01-2016 NULL 1 0
002 01-01-2016 3-1-2016 0 1
003 01-01-2016 4-1-2016 0 1
The desired result would be:
Year Month Open_Quote_Count
2016 01 3
2016 02 3
2016 03 2
2016 04 1
I've hit a mental wall on this one, I've tried to do some case when filtering but I just can't seem to figure this puzzle out. Ideally I wouldn't be hard-coding in dates because this spans years and I don't want to maintain this once written.
Thank you in advance for your help.
You are doing this by month. So, three options come to mind:
A list of all months using left join.
A recursive CTE.
A number table.
Let me show the last:
with n as (
select row_number() over (order by (select null)) - 1 as n
from master..spt_values
)
select format(dateadd(month, n.n, q.add_date), 'yyyy-MM') as yyyymm,
count(*) as Open_Quote_Count
from quotes q join
n
on (closed_status = 1 and dateadd(month, n.n, q.add_date) <= q.update_date) or
(closed_status = 0 and dateadd(month, n.n, q.add_date) <= getdate())
group by format(dateadd(month, n.n, q.add_date), 'yyyy-MM')
order by yyyymm;
This does assume that each month has at least one open record. That seems reasonable for this purpose.
You can use datepart to extract parts of a date, so something like:
select datepart(year, add_date) as 'year',
datepart(month, date_date) as 'month',
count(1)
from theTable
where open_status = 1
group by datepart(year, add_date), datepart(month, date_date)
Note: this counts for the starting month and primarily to show the use of datepart.
Updated as misunderstood the initial request.
Consider following test data:
DECLARE #test TABLE
(
Quote_No VARCHAR(3),
Add_Date DATE,
Update_Date DATE,
Open_Status INT,
Closed_Status INT
)
INSERT INTO #test (Quote_No, Add_Date, Update_Date, Open_Status, Closed_Status)
VALUES ('001', '20160101', NULL, 1, 0)
, ('002', '20160101', '20160301', 0, 1)
, ('003', '20160101', '20160401', 0, 1)
Here is a recursive solution, that doesn't rely on system tables BUT also performs poorer. As we are talking about months and year combinations, the number of recursions will not get overhand.
;WITH YearMonths AS
(
SELECT YEAR(MIN(Add_Date)) AS [Year]
, MONTH(MIN(Add_Date)) AS [Month]
, MIN(Add_Date) AS YMDate
FROM #test
UNION ALL
SELECT YEAR(DATEADD(MONTH,1,YMDate))
, MONTH(DATEADD(MONTH,1,YMDate))
, DATEADD(MONTH,1,YMDate)
FROM YearMonths
WHERE YMDate <= SYSDATETIME()
)
SELECT [Year]
, [Month]
, COUNT(*) AS Open_Quote_Count
FROM YearMonths ym
INNER JOIN #test t
ON (
[Year] * 100 + [Month] <= CAST(FORMAT(t.Update_Date, 'yyyyMM') AS INT)
AND t.Closed_Status = 1
)
OR (
[Year] * 100 + [Month] <= CAST(FORMAT(SYSDATETIME(), 'yyyyMM') AS INT)
AND t.Closed_Status = 0
)
GROUP BY [Year], [Month]
ORDER BY [Year], [Month]
Statement is longer, also more readable and lists all year/month combinations to date.
Take a look at Date and Time Data Types and Functions for SQL-Server 2008+
and Recursive Queries Using Common Table Expressions
My table creates a new record with timestamp daily when an integration is successful. I am trying to create a query that would check (preferably automated) the number of days in a month vs number of records in the table within a time frame.
For example, January has 31 days, so i would like to know how many days in january my process was not successful. If the number of records is less than 31, than i know the job failed 31 - x times.
I tried the following but was not getting very far:
SELECT COUNT (DISTINCT CompleteDate)
FROM table
WHERE CompleteDate BETWEEN '01/01/2015' AND '01/31/2015'
Every 7 days the system executes the job twice, so i get two records on the same day, but i am trying to determine the number of days that nothing happened (failures), so i assume some truncation of the date field is needed?!
One way to do this is to use a calendar/date table as the main source of dates in the range and left join with that and count the number of null values.
In absence of a proper date table you can generate a range of dates using a number sequence like the one found in the master..spt_values table:
select count(*) failed
from (
select dateadd(day, number, '2015-01-01') date
from master..spt_values where type='P' and number < 365
) a
left join your_table b on a.date = b.CompleteDate
where b.CompleteDate is null
and a.date BETWEEN '01/01/2015' AND '01/31/2015'
Sample SQL Fiddle (with count grouped by month)
Assuming you have an Integers table*. This query will pull all dates where no record is found in the target table:
declare #StartDate datetime = '01/01/2013',
#EndDate datetime = '12/31/2013'
;with d as (
select *, date = dateadd(d, i - 1 , #StartDate)
from dbo.Integers
where i <= datediff(d, #StartDate, #EndDate) + 1
)
select d.date
from d
where not exists (
select 1 from <target> t
where DATEADD(dd, DATEDIFF(dd, 0, t.<timestamp>), 0) = DATEADD(dd, DATEDIFF(dd, 0, d.date), 0)
)
Between is not safe here
SELECT 31 - count(distinct(convert(date, CompleteDate)))
FROM table
WHERE CompleteDate >= '01/01/2015' AND CompleteDate < '02/01/2015'
You can use the following query:
SELECT DATEDIFF(day, t.d, dateadd(month, 1, t.d)) - COUNT(DISTINCT CompleteDate)
FROM mytable
CROSS APPLY (SELECT CAST(YEAR(CompleteDate) AS VARCHAR(4)) +
RIGHT('0' + CAST(MONTH(CompleteDate) AS VARCHAR(2)), 2) +
'01') t(d)
GROUP BY t.d
SQL Fiddle Demo
Explanation:
The value CROSS APPLY-ied, i.e. t.d, is the ANSI string of the first day of the month of CompleteDate, e.g. '20150101' for 12/01/2015, or 18/01/2015.
DATEDIFF uses the above mentioned value, i.e. t.d, in order to calculate the number of days of the month that CompleteDate belongs to.
GROUP BY essentially groups by (Year, Month), hence COUNT(DISTINCT CompleteDate) returns the number of distinct records per month.
The values returned by the query are the differences of [2] - 1, i.e. the number of failures per month, for each (Year, Month) of your initial data.
If you want to query a specific Year, Month then just simply add a WHERE clause to the above:
WHERE YEAR(CompleteDate) = 2015 AND MONTH(CompleteDate) = 1
SQL Server 2005
I have an SQL Function (ftn_GetExampleTable) which returns a table with multiple result rows
EXAMPLE
ID MemberID MemberGroupID Result1 Result2 Result3 Year Week
1 1 1 High Risk 2 xx 2011 22
2 11 4 Low Risk 1 yy 2011 21
3 12 5 Med Risk 3 zz 2011 25
etc.
Now I do a count and group by on a table above this for Result 2 for instance so I get
SELECT MemberGroupID, Result2, Count(*) AS ExampleCount, Year, Week
FROM ftn_GetExampleTable
GROUP BY MemberGroupID, Result2, Year, Week
MemberGroupID Result2 ExampleCount Year Week
1 2 4 2011 22
4 1 2 2011 21
5 3 1 2011 25
Now imagine when I go to graph this new table between Weeks 20 and 23 of Year 2011, you'll see that it won't graph 20 or 23 or certain groups or even certain results in this example as they are not in the included data, so I need "false data" inserted into this table which has all the possibilities so they at least show on a graph even if the count is 0, does this make sense?
I am wondering on the easiest and kind of most dynamic way as it could be Result1 or Result3 I want to Graph on (different column types).
Thanks in advance
It looks like your dimensions are: MemberGroupID,Result2, and week (Year,Week).
One approach to solving this is to generate a list of all values you want for all the dimensions, and produce a cartesian product of them. As an example,
SELECT m.MemberGroupID, n.Result2, w.Year, w.Week
FROM (SELECT MemberGroupID FROM ftn_GetExampleTable GROUP BY MemberGroupID) m
CROSS
JOIN (SELECT Result2 FROM ftn_GetExampleTable GROUP BY Result2 ) n
CROSS
JOIN (SELECT Year, Week FROM myCalendar WHERE ... ) w
You don't necessarily need a table named myCalendar. (That approach does seem to be the popular one.) You just need a row source from which you can derive a list of (Year, Week) tuples. (There are answers to the question elsewhere in Stackoverflow, how to generate a list of dates.)
And the list of MemberGroupID and Result2 values doesn't have to come from the ftn_GetExampleTable rowsource, you could substitute another query.
With a cartesian product of those dimensions, you've got a complete "grid". Now you can LEFT JOIN your original result set to that.
Any place you don't have a matching row from the "gappy" result query, you'll get a NULL returned. You can leave the NULL, or replace it with a 0, which is probably what you want if it's a "count" you are returning.
SELECT d.MemberGroupID
, d.Result2
, d.Year
, d.Week
, IFNULL(r.ExampleCount,0) as ExampleCount
FROM ( <dimension query from above> ) d
LEFT
JOIN ( <original ExampleCount query> ) r
ON r.MemberGroupID = d.MemberGroupID
AND r.Result2 = d.Result2
AND r.Year = d.Year
AND r.Week = d.Week
That query can be refactored to make use of Common Table Expressions, which makes the query a little easier to read, especially if you are including multiple measures.
; WITH d AS ( /* <dimension query with no gaps (example above)> */
)
, r AS ( /* <original query with gaps> */
SELECT MemberGroupID, Result2, Count(*) AS ExampleCount, Year, Week
FROM ftn_GetExampleTable
GROUP BY MemberGroupID, Result2, Year, Week
)
SELECT d.*
, IFNULL(r.ExampleCount,0)
FROM d
LEFT
JOIN r
ON r.Year=d.Year AND r.Week=d.Week AND r.MemberGroupID = d.MemberGroupID
AND r.Result2 = d.Result2
This isn't a complete working solution to your problem, but it outlines an approach you can use.
Whenever I need to generate a sequence within SQL-Server I use the sys.all_objects table along with the ROW_NUMBER function, then maninpulate it as required:
SELECT ROW_NUMBER() OVER(ORDER BY Object_ID) AS Sequence
FROM Sys.All_Objects
So for the list of year and week numbers I would use:
DECLARE #StartDate DATETIME,
#EndDate DATETIME
SET #StartDate = '20110101'
SET #EndDate = '20120601'
SELECT DATEPART(YEAR, Date) AS YEAR,
DATEPART(WEEK, Date) AS WeekNum
FROM ( SELECT DATEADD(WEEK, ROW_NUMBER() OVER(ORDER BY Object_ID) - 1, #StartDate) AS Date
FROM Sys.All_Objects
) Dates
WHERE Date < #endDate
Where the dates subquery provides a list of dates at one week intervals between your start and end dates.
So in your example the end result would be something like:
DECLARE #StartDate DATETIME,
#EndDate DATETIME
SET #StartDate = '20110101'
SET #EndDate = '20120601'
;WITH Data AS
( SELECT MemberGroupID,
Result2,
Count(*) AS ExampleCount,
Year,
Week
FROM ftn_GetExampleTable
GROUP BY MemberGroupID, Result2, Year, Week
), Dates AS
( SELECT DATEPART(YEAR, Date) AS YEAR,
DATEPART(WEEK, Date) AS WeekNum
FROM ( SELECT DATEADD(WEEK, ROW_NUMBER() OVER(ORDER BY Object_ID) - 1, #StartDate) AS Date
FROM Sys.All_Objects
) Dates
WHERE Date < #endDate
)
SELECT YearNum,
WeeNum,
MemberID,
Result2,
COALESCE(ExampleCount, 0) AS ExampleCount
FROM Dates
LEFT JOIN Data
ON YearNum = Data.Year
AND WeekNum = Data.Week
I have a table containing date, employeeID(int) , and ShiftWorked (can be night/day/weekend or evening) . There is a row for each employee and date combination
I would like to construct a query that gives me a count of how many people have worked a night shift in the week before and after each date in the roster period.
--------------------------------------------------------------------------
Date (yyyy-MM-dd) | CountOfNightshifts(for 1 week either side of date)
--------------------------------------------------------------------------
2012-1-1 | 8
2012-1-2 | 12
2012-1-3 | 11
2012-1-4 | 6
etc | etc
I hope this is clear. I have spent days trying to get this to work but I am not getting anywhere.
For example:
SELECT COUNT(id), [date]
FROM ROSTER
WHERE Shift = night AND [date] BETWEEN DATEADD(D,-7,[date]) AND DATEADD(d,7,[date])
GROUP by [date]
group by [date]
This will give me a list of dates and a count of nights on that particular day - not all night shifts in the 7 days before and after the date.
The following query will return two columns: the reference (roster) date and the number of (distinct) people that have worked on the night sift seven days before to seven days after the reference date.
SELECT tmain.date,
(
SELECT COUNT(DISTINCT taux.employeeId)
FROM roster taux
WHERE taux.shiftWorked = 'night'
AND taux.date >= DATEADD(DAY, -7, tmain.date)
AND taux.date <= DATEADD(DAY, 7, tmain.date)
) AS [number_of_distinct_people_with_night_shift]
FROM roster tmain
ORDER BY tmain.date;
Note 1: Usually I prefer joins over sub-queries, but I guess this solution is easier to read.
Note 2: I am assuming the time component of date values are irrelevant and all dates have the same time (i.e. '00:00:00.00'); if it is not the case, there are more adjustments to be done on the date comparison.
how about this?
SELECT
[date]
,count(*)
FROM
Shifts as s
WHERE
s.Date > DATEADD(day,-7,GETDATE())
AND ShiftWorked = 'Night'
GROUP BY
date
http://sqlfiddle.com/#!3/e88cc/1
a bit more data:
http://sqlfiddle.com/#!3/b7793/2
If you are only interested in a specific date then you could use:
DECLARE #target datetime
SET #target = GETDATE()
SELECT
count(*) as NightShifts
FROM
Shifts as s
WHERE
ShiftWorked = 'Night'
AND s.Date > DATEADD(day,-7,#target)
AND s.Date < DATEADD(day,7,#target)
http://sqlfiddle.com/#!3/b7793/20
but if you have another table that actually has the periods in it (e.g. billing or payroll dates):
DECLARE #target datetime
SET #target = GETDATE()
SELECT
p.periodDate
,count(*)
FROM
Shifts as s
INNER JOIN periods as p
ON s.date > dateadd(day,-7,p.periodDate)
AND s.date < dateadd(day,7,p.periodDate)
WHERE
ShiftWorked = 'Night'
GROUP BY p.periodDate
http://sqlfiddle.com/#!3/fc54d/2
OR to get ) when no night shift was worked:
SELECT
p.periodDate
,ISNULL(t.num,0) as nightShifts
FROM
periods as p
LEFT OUTER JOIN (
SELECT
p.periodDate
,count(*) as num
FROM
Shifts as s
INNER JOIN periods as P
ON s.date > dateadd(day,-7,p.periodDate)
AND s.date < dateadd(day,7,p.periodDate)
WHERE
ShiftWorked = 'Night'
GROUP BY p.periodDate
) as t
ON p.periodDate = t.periodDate
http://sqlfiddle.com/#!3/fc54d/11
You can pull it off by joining the ROSTER table to itself, thereby creating several result rows per employee and day. Otherwise your GROUP BY clause will group the resulting rows from the period you are after into the dates of the original table.
SELECT
r.[date],
COUNT(period.id)
FROM ROSTER r
JOIN ROSTER period
ON period.employeeID=r.employeeID
AND period.shift = night
AND r.[date] BETWEEN DATEADD(d,-7,period.[date]) and DATEADD(d,7,period.[date])
WHERE
r.shift = night
GROUP BY r.[date]