TSQL Fill gaps in months and repeat values in column - tsql

Started with TSQL last Wednesday...
I have the following data in tblStage1:
PROJECT USERNAME DATE PERCENTAGE
--------- ----------------- ------------ ----------------------
Project 1 DOMAIN\Chris.User 03/01/2013 0.25
Project 1 DOMAIN\Chris.User 05/01/2013 0.75
Project 1 DOMAIN\Chris.User 07/01/2013 1
Project 1 DOMAIN\John.User 02/01/2013 1
Project 1 DOMAIN\John.User 06/01/2013 0.5
I have the following data in tblRawData
PROJECT START_DATE END_DATE
---------- ----------- ----------
Project 1 01/01/2013 09/01/2013
I would like to get the following data out into tblStage2 (data points are bound by START_DATE and END_DATE):
PROJECT USERNAME DATE PERCENTAGE
--------- ----------------- ------------ ----------------------
Project 1 DOMAIN\Chris.User 01/01/2013 0
Project 1 DOMAIN\Chris.User 02/01/2013 0
Project 1 DOMAIN\Chris.User 03/01/2013 0.25
Project 1 DOMAIN\Chris.User 04/01/2013 0.25
Project 1 DOMAIN\Chris.User 05/01/2013 0.75
Project 1 DOMAIN\Chris.User 06/01/2013 0.75
Project 1 DOMAIN\Chris.User 07/01/2013 1
Project 1 DOMAIN\Chris.User 08/01/2013 1
Project 1 DOMAIN\Chris.User 09/01/2013 1
Project 1 DOMAIN\John.User 01/01/2013 0
Project 1 DOMAIN\John.User 02/01/2013 1
Project 1 DOMAIN\John.User 03/01/2013 1
Project 1 DOMAIN\John.User 04/01/2013 1
Project 1 DOMAIN\John.User 05/01/2013 1
Project 1 DOMAIN\John.User 06/01/2013 0.5
Project 1 DOMAIN\John.User 07/01/2013 0.5
Project 1 DOMAIN\John.User 08/01/2013 0.5
Project 1 DOMAIN\John.User 09/01/2013 0.5
I realize that there are a number of topics that relate to this subject such as this. I my case, I don't have any particular restrictions and I am looking for a clean routine that is relatively easy to understand.
I know there is a DateAdd function, but I haven't seen any INSERT INTO commands in the example statements. I am confused as to how one would iterate through the data set and create the interpolated values. I am still too green to understand the full context of the other examples and would greatly appreciate any help or clarification.
Edit Added additional information to the sample data for a better indication of my final goal. I will have multiple users in this data set. The USERNAME column is placed into the data set by the original source (a people picker on an InfoPath form). All "Percentages" are "0" until the first value is assigned then they retain that value until it is changed or the project reaches its end date. I hope this helps clarify!

It's not clear how USERNAME populated. I assume you have same USERNAME on project here. CTE below just build a DATE table, if you have your own date table, you can skip this part.
SQL Fiddle
DECLARE #ENDDate DATETIME
SELECT #ENDDate = MAX(END_DATE) FROM tblRawData
;WITH tblDate AS
( SELECT CAST(MIN(START_DATE) AS DATE) AS [date]
FROM tblRawData
UNION ALL
SELECT DATEADD(month,1,[DATE])
FROM tblDate
WHERE [DATE] < #ENDDate
)
SELECT
d.[date]
,r.[Project]
,UserName = (SELECT MAX(USERNAME) FROM tblStage1 ts WHERE r.PROJECT = ts.PROJECT)
,Percentage = (SELECT ISNULL(MAX(Percentage),0) FROM tblStage1 ts WHERE r.PROJECT = ts.PROJECT AND ts.[date] <= d.[date])
FROM tblDate d
INNER JOIN tblRawData r
ON d.[date] between r.[START_DATE] AND r.[END_DATE]
ORDER BY 2,1
OPTION (Maxrecursion 0)
EDIT: Just found out the date is increased by month. I update the CTE query. However, you need make sure you have all project start and end date at first day of the month.
EDIT
Base on your new sample date. the query became a little ugly now, however, it works. I can not think better solution right now.
New SQL Fiddler
DECLARE #ENDDate DATETIME
SELECT #ENDDate = MAX(END_DATE) FROM tblRawData
;WITH tblDate AS
( SELECT CAST(MIN(START_DATE) AS DATE) AS [date]
FROM tblRawData
UNION ALL
SELECT DATEADD(month,1,[DATE])
FROM tblDate
WHERE [DATE] < #ENDDate
)
,ProjectList AS (
SELECT Project,UserName
FROM tblStage1
GROUP BY Project,UserName
)
,cte AS (
SELECT
d.[date]
,r.[Project]
,UserName = pl.Username
,CloseDate = (SELECT MAX(ts.[date]) FROM tblStage1 ts WHERE r.PROJECT = ts.PROJECT AND ts.UserName = pl.UserName AND ts.[date] <= d.[date])
FROM tblDate d
INNER JOIN tblRawData r
ON d.[date] between r.[START_DATE] AND r.[END_DATE]
CROSS APPLY ProjectList pl
)
SELECT cte.[date],cte.project,cte.UserName,ISNULL(t.[PERCENTAGE],0) AS PERCENTAGE
FROM cte
LEFT JOIN tblStage1 t
ON cte.PROJECT = t.PROJECT
AND cte.UserName = t.UserName
AND cte.CloseDate = t.[Date]
ORDER BY 2,3,1

You could do this with the APPLY operator as well...
WITH DateList (Project, MonthStart) AS
(
SELECT
project
, Start_Date
FROM
tblRawData
UNION ALL
SELECT
dl.Project
, DATEADD(MONTH, 1, dl.MonthStart)
FROM
DateList dl
JOIN
tblRawData r
ON
r.Project = dl.Project
AND
dl.MonthStart < r.End_Date
)
SELECT
dl.Project
, lastUser.UserName
, dl.monthstart [Date]
, ISNULL(pct.Percentage, 0) Percentage
FROM
DateList dl
CROSS APPLY
(
SELECT
TOP 1
USERNAME
FROM
tblStage1 t1
WHERE
t1.Project = dl.Project
ORDER BY
t1.Date DESC
) lastUser
OUTER APPLY
(
SELECT
TOP 1
Percentage
FROM
tblStage1 t2
WHERE
t2.Project = dl.Project
AND
t2.Date <= dl.MonthStart
ORDER BY
t2.Date DESC
) pct

A really easy way would be to create a temp table with the month values of each month you need then doing a left join on that table.
Out of curiosity - why is August 1 instead of 0?

Related

T-SQL vlookup with fake calendar table?

I am rather new in T-SQL and I have to create a view, where the output will be as shown below:
enter image description here
But my sales table doesn't have any data about sales in February and May for customer ABC and no data in January for customer XYZ, but I really want to have 0 for these months. How to do it in T-SQL?
This is great question about a very important topic that, even many experienced developers need to touch up on. Being "relatively new at SQL" I wont just offer a solution, I'll explain the key concepts involved.
The Auxiliary Table Numbers
First lets learn about what a tally table, aka numbers table is all about.
What does this do?
SELECT N = 1 ;
It returns the number 1.
N
-----
1
How about this?
SELECT N = 1 FROM (VALUES(0)) AS e(N);
Same thing:
N
-----
1
What does this return?
SELECT N = 1 FROM (VALUES(0),(0),(0),(0),(0),(0)) AS e(n);
Here I'm leveraging the VALUES table constructer which allows for a list of values to be treated like a view. This returns:
N
-------
1
1
1
1
1
We don't need the ones, we need the rows. This will make more sense in a moment. Now, what does this do?
WITH e(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0)) AS e(n))
SELECT N = 1 FROM e e1;
It returns the same thing, five 1's, but I've wrapped the code into a CTE named e. Think of CTEs as inline unnamed views that you can reference multiple times. Now lets CROSS JOIN e to itself. This returns for 25 dummy rows (5*5).
WITH e(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0)) AS e(n))
SELECT N = 1 FROM e e1, e e2;
Next we leverage ROW_NUMBER() over our set of dummy values.
WITH E1(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0)) AS e(n))
SELECT N = ROW_NUMBER() OVER (ORDER BY(SELECT NULL)) FROM E1, E1 a;
Returns (truncated for brevity):
N
--------------------
1
2
3
...
24
25
Using as an auxiliary numbers table
#OneToTen is a table with random numbers 1 to 10. I need to count how many there are, returning 0 when there aren't any. NOTE MY COMMENTS:
;--== 2. Simple Use Case - Counting all numbers, including missing ones (missing = 0)
DECLARE #OneToTen TABLE (N INT);
INSERT #OneToTen VALUES(1),(2),(2),(2),(4),(8),(8),(10),(10),(10);
WITH E1(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) AS e(n)),
iTally(N) AS (SELECT ROW_NUMBER() OVER (ORDER BY(SELECT NULL)) FROM E1, E1 a)
SELECT
N = i.N,
Wrong = COUNT(*), -- WRONG!!! Don't do THIS, this counts ALL rows returned
Correct = COUNT(t.N) -- Correct, this counts numbers from #OneToTen AKA "t.N"
FROM iTally AS i -- Aux Table of numbers
LEFT JOIN #OneToTen AS t -- Table to evaluate
ON i.N = t.N -- LEFT JOIN #OneToTen numbers to our Aux table of numbers
WHERE i.N <= 10 -- We only need the numbers 1 to 10
GROUP BY i.N; -- Group by with no Sort!!!
This returns:
N Wrong Correct
----- ----------- -----------
1 1 1
2 3 3
3 1 0
4 1 1
5 1 0
6 1 0
7 1 0
8 2 2
9 1 0
10 3 3
Note that I show you the wrong and right way to do this. Note how COUNT(*) is wrong for this, you need COUNT(whatever you are counting).
Auxiliary table of Dates (AKA calendar table)
My we use our numbers table to create a calendar table.
;--== 3. Auxilliary Month/Year Calendar Table
DECLARE #Start DATE = '20191001',
#End DATE = '20200301';
WITH E1(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) AS e(n)),
iTally(N) AS (SELECT ROW_NUMBER() OVER (ORDER BY(SELECT NULL)) FROM E1, E1 a)
SELECT TOP(DATEDIFF(MONTH,#Start,#End)+1)
TheDate = f.Dt,
TheYear = YEAR(f.Dt),
TheMonth = MONTH(f.Dt),
TheWeekday = DATEPART(WEEKDAY,f.Dt),
DayOfTheYear = DATEPART(DAYOFYEAR,f.Dt),
LastDayOfMonth = EOMONTH(f.Dt)
FROM iTally AS i
CROSS APPLY (VALUES(DATEADD(MONTH, i.N-1, #Start))) AS f(Dt)
This returns:
TheDate TheYear TheMonth TheWeekday DayOfTheYear LastDayOfMonth
---------- ----------- ----------- ----------- ------------ --------------
2019-10-01 2019 10 3 274 2019-10-31
2019-11-01 2019 11 6 305 2019-11-30
2019-12-01 2019 12 1 335 2019-12-31
2020-01-01 2020 1 4 1 2020-01-31
2020-02-01 2020 2 7 32 2020-02-29
2020-03-01 2020 3 1 61 2020-03-31
You will only need the YEAR and MONTH.
The Auxiliary Customer table
Because you are performing aggregations (SUM,COUNT,etc.) against multiple customers we will also need an Auxiliary table of customers, more commonly known as a lookup or dimension.
SAMPLE DATA:
;--== Sample Data
DECLARE #sale TABLE
(
Customer VARCHAR(10),
SaleYear INT,
SaleMonth TINYINT,
SaleAmt DECIMAL(19,2),
INDEX idx_cust(Customer)
);
INSERT #sale
VALUES('ABC',2019,12,410),('ABC',2020,1,668),('ABC',2020,1,50), ('ABC',2020,3,250),
('CDF',2019,10,200),('CDF',2019,11,198),('CDF',2020,1,333),('CDF',2020,2,5000),
('CDF',2020,2,325),('CDF',2020,3,1105),('FRED',2018,11,1105);
Distinct list of customers for an "Auxilliary Table of Customers"
SELECT DISTINCT s.Customer FROM #sale AS s;
For my sample data we get:
Customer
----------
ABC
CDF
FRED
Putting it all together
Here I'm going to:
Create a numbers table
Use my numbers table to create a calendar table
Create an auxiliary Customer table from #sale
CROSS JOIN (combine) both tables for a "junk dimension"
LEFT JOIN our sales data to our calendar/customer auxiliary tables/junk dimension
Group by the auxiliary table values
SOLUTION:
;--==== SAMPLE DATA
DECLARE #sale TABLE
(
Customer VARCHAR(10),
SaleYear INT,
SaleMonth TINYINT,
SaleAmt DECIMAL(19,2),
INDEX idx_cust(Customer)
);
INSERT #sale
VALUES('ABC',2019,12,410),('ABC',2020,1,668),('ABC',2020,1,50), ('ABC',2020,3,250),
('CDF',2019,10,200),('CDF',2019,11,198),('CDF',2020,1,333),('CDF',2020,2,5000),
('CDF',2020,2,325),('CDF',2020,3,1105),('FRED',2018,11,1105);
;--==== START/END DATEs
DECLARE #Start DATE = '20191001',
#End DATE = '20200301';
;--==== FINAL SOLUTION
WITH -- 6.1. Auxilliary Table of numbers:
E1(N) AS (SELECT 1 FROM (VALUES(0),(0),(0),(0),(0),(0),(0),(0),(0),(0)) AS e(n)),
iTally(N) AS (SELECT ROW_NUMBER() OVER (ORDER BY(SELECT NULL)) FROM E1, E1 a),
-- 6.2. Use numbers table to create an "Auxilliary Date Table" (Calendar Table):
MonthYear(SaleYear,SaleMonth) AS
(
SELECT TOP(DATEDIFF(MONTH,#Start,#End)+1) YEAR(f.Dt), MONTH(f.Dt)
FROM iTally AS i
CROSS APPLY (VALUES(DATEADD(MONTH, i.N-1, #Start))) AS f(Dt)
)
SELECT
Customer = cust.Customer,
MonthYear = CONCAT(cal.SaleYear,'-',cal.SaleMonth),
Sales = ISNULL(SUM(s.SaleAmt),0)
-- Auxilliary Table of Customers
FROM (SELECT DISTINCT s.Customer FROM #sale AS s) AS cust -- 6.3. Aux Customer Table
CROSS JOIN MonthYear AS cal -- 6.4. Cross join to create Calendar/Customer Junk Dimension
LEFT JOIN #sale AS s -- 6.5. Join #sale to Junk Dimension on Year,Month and Customer
ON s.SaleYear = cal.SaleYear
AND s.SaleMonth = cal.SaleMonth
AND s.Customer = cust.Customer
GROUP BY cust.Customer, cal.SaleYear, cal.SaleMonth -- 6.6. Group by Junk Dim values
ORDER BY cust.Customer, cal.SaleYear, cal.SaleMonth; -- Order by not required
RESULTS:
Customer MonthYear Sales
---------- ------------ ------------
ABC 2019-10 0.00
ABC 2019-11 0.00
ABC 2019-12 410.00
ABC 2020-1 718.00
ABC 2020-2 0.00
ABC 2020-3 250.00
CDF 2019-10 200.00
CDF 2019-11 198.00
CDF 2019-12 0.00
CDF 2020-1 333.00
CDF 2020-2 5325.00
CDF 2020-3 1105.00
FRED 2019-10 0.00
FRED 2019-11 0.00
FRED 2019-12 0.00
FRED 2020-1 0.00
FRED 2020-2 0.00
FRED 2020-3 0.00

Cohort Analysis with RedShift by Month

I am trying to build a cohort analysis for monthly retention but experiencing challenge getting the Month Number column right. The month number is supposed to return month(s) user transacted i.e 0 for registration month, 1 for the first month after registration month, 2 for the second month until the last month but currently, it returns negative month numbers in some cells.
It should be like this table:
cohort_month total_users month_number percentage
---------- ----------- -- ------------ ---------
January 100 0 40
January 341 1 90
January 115 2 90
February 103 0 73
February 100 1 40
March 90 0 90
Here is the SQL:
with cohort_items as (
select
extract(month from insert_date) as cohort_month,
msisdn as user_id
from mfscore.t_um_user_detail where extract(year from insert_date)=2020
order by 1, 2
),
user_activities as (
select
A.sender_msisdn,
extract(month from A.insert_date)-C.cohort_month as month_number
from mfscore.t_wm_transaction_logs A
left join cohort_items C ON A.sender_msisdn = C.user_id
where extract(year from A.insert_date)=2020
group by 1, 2
),
cohort_size as (
select cohort_month, count(1) as num_users
from cohort_items
group by 1
order by 1
),
B as (
select
C.cohort_month,
A.month_number,
count(1) as num_users
from user_activities A
left join cohort_items C ON A.sender_msisdn = C.user_id
group by 1, 2
)
select
B.cohort_month,
S.num_users as total_users,
B.month_number,
B.num_users * 100 / S.num_users as percentage
from B
left join cohort_size S ON B.cohort_month = S.cohort_month
where B.cohort_month IS NOT NULL
order by 1, 3
I think the RANK window function is the right solution. So the idea is to assigne a rank to months of user activities for each user, order by year and month.
Something like:
WITH activity_per_user AS (
SELECT
user_id,
event_date,
RANK() OVER (PARTITION BY user_id ORDER BY DATE_PART('year', event_date) , DATE_PART('month', event_date) ASC) AS month_number
FROM user_activities_table
)
RANK number starts from 1, so you may want to substract 1.
Then, you can group by user_id and month_number to get the number of interactions for each user per month from the subscription (adapt to your use case accordingly).
SELECT
user_id,
month_number,
COUNT(1) AS n_interactions
FROM activity_per_user
GROUP BY 1, 2
Here is the documentation:
https://docs.aws.amazon.com/redshift/latest/dg/r_WF_RANK.html

How to find the First, Second, Third and Fourth Saturday in month?

How do I find the first, second, third and fourth saturday of the month?
Ex.: I want to end up with this format...
Blockquote
YYYY, MM, Week#1
Blockquote
YYYY, MM, Week#2
Blockquote
Thanks,
This solution does not depend on Datefirst setting.
declare #d datetime = getdate();
select
dateadd(dd, n, firstSaturday)
from (
select
firstSaturday = dateadd(day, 7-(##datefirst+datepart(weekday, dateadd(day,-1, convert(char(6),#d,112)+'01')))%7, dateadd(day,-1, convert(char(6),#d,112)+'01'))
) t
cross apply (values (0), (7), (14), (21)) q(n)
Here is one way to do it, using a stacked cte to create an inline tally table, with another cte on top of that to generate the months calendar.
Please note that you can change the GETDATE() in the first row code to any date you want (even if it's in the middle of the month) and the code will produce all the Saturdays in that month.
-- Get the current month's start date
DECLARE #MonthStart datetime = DATEADD(MONTH, (DATEDIFF(MONTH, 0, GETDATE())), 0)
;WITH lv0 AS (SELECT 0 g UNION ALL SELECT 0)
,lv1 AS (SELECT 0 g FROM lv0 a CROSS JOIN lv0 b) -- 4
,lv2 AS (SELECT 0 g FROM lv1 a CROSS JOIN lv1 b) -- 16
,lv3 AS (SELECT 0 g FROM lv2 a CROSS JOIN lv2 b) -- 256
,Tally (n) AS (SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM lv3)
-- gets all the dates in the current month
,CurrentMonth AS (SELECT TOP (32) dateadd(day, n-1, #MonthStart) As TheDate
FROM Tally
WHERE MONTH(dateadd(day, n-1, #MonthStart)) = MONTH(#MonthStart)
ORDER BY n)
-- gets all the Saturday dates of the current month
SELECT TheDate, DATENAME(WEEKDAY, TheDate)
FROM CurrentMonth
WHERE DATEPART(WEEKDAY, TheDate) = 7 -- Depending on server settings!
If you already have a numbers table, you can use it instead of the stacked cte. If you don't know what is a numbers table and why you should have one, read The "Numbers" or "Tally" Table: What it is and how it replaces a loop by Jeff Moden
You can try this.
SET DATEFIRST 1
DECLARE #MonthId INT = 5
DECLARE #FirstDayOfTheMonth DATE = CONCAT(YEAR(GETDATE()), RIGHT(CONCAT('00', #MonthId),2), '01')
DECLARE #SaturdayId INT = 6
SELECT
DATEADD(DAY, #SaturdayId + WK.ID - DATEPART(WEEKDAY, #FirstDayOfTheMonth), #FirstDayOfTheMonth)
FROM ( VALUES(0),(7),(14),(21),(28)) AS WK(ID)
WHERE
MONTH(DATEADD(DAY, #SaturdayId + WK.ID- DATEPART(WEEKDAY, #FirstDayOfTheMonth),#FirstDayOfTheMonth)) = #MonthId

T-SQL - Data Islands and Gaps - How do I summarise transactional data by month?

I'm trying to query some transactional data to establish the CurrentProductionHours value for each Report at the end of each month.
Providing there has been a transaction for each report in each month, that's pretty straight-forward... I can use something along the lines of the code below to partition transactions by month and then pick out the rows where TransactionByMonth = 1 (effectively, the last transaction for each report each month).
SELECT
ReportId,
TransactionId,
CurrentProductionHours,
ROW_NUMBER() OVER (PARTITION BY [ReportId], [CalendarYear], [MonthOfYear]
ORDER BY TransactionTimestamp desc
) AS TransactionByMonth
FROM
tblSource
The problem that I have is that there will not necessarily be a transaction for every report every month... When that's the case, I need to carry forward the last known CurrentProductionHours value to the month which has no transaction as this indicates that there has been no change. Potentially, this value may need to be carried forward multiple times.
Source Data:
ReportId TransactionTimestamp CurrentProductionHours
1 2014-01-05 13:37:00 14.50
1 2014-01-20 09:15:00 15.00
1 2014-01-21 10:20:00 10.00
2 2014-01-22 09:43:00 22.00
1 2014-02-02 08:50:00 12.00
Target Results:
ReportId Month Year ProductionHours
1 1 2014 10.00
2 1 2014 22.00
1 2 2014 12.00
2 2 2014 22.00
I should also mention that I have a date table available, which can be referenced if required.
** UPDATE 05/03/2014 **
I now have query which is genertating results as shown in the example below but I'm left with islands of data (where a transaction existed in that month) and gaps in between... My question is still similar but in some ways a little more generic - What is the best way to fill gaps between data islands if you have the dataset below as a starting point?
ReportId Month Year ProductionHours
1 1 2014 10.00
1 2 2014 12.00
1 3 2014 NULL
2 1 2014 22.00
2 2 2014 NULL
2 3 2014 NULL
Any advice about how to tackle this would be greatly appreciated!
Try this:
;with a as
(
select dateadd(m, datediff(m, 0, min(TransactionTimestamp))+1,0) minTransactionTimestamp,
max(TransactionTimestamp) maxTransactionTimestamp from tblSource
), b as
(
select minTransactionTimestamp TT, maxTransactionTimestamp
from a
union all
select dateadd(m, 1, TT), maxTransactionTimestamp
from b
where tt < maxTransactionTimestamp
), c as
(
select distinct t.ReportId, b.TT from tblSource t
cross apply b
)
select c.ReportId,
month(dateadd(m, -1, c.TT)) Month,
year(dateadd(m, -1, c.TT)) Year,
x.CurrentProductionHours
from c
cross apply
(select top 1 CurrentProductionHours from tblSource
where TransactionTimestamp < c.TT
and ReportId = c.ReportId
order by TransactionTimestamp desc) x
A similar approach but using a cartesian to obtain all the combinations of report ids/months.
in the first step.
A second step adds to that cartesian the maximum timestamp from the source table where the month is less or equal to the month in the current row.
Finally it joins the source table to the temp table by report id/timestamp to obtain the latest source table row for every report id/month.
;
WITH allcombinations -- Cartesian (reportid X yearmonth)
AS ( SELECT reportid ,
yearmonth
FROM ( SELECT DISTINCT
reportid
FROM tblSource
) a
JOIN ( SELECT DISTINCT
DATEPART(yy, transactionTimestamp)
* 100 + DATEPART(MM,
transactionTimestamp) yearmonth
FROM tblSource
) b ON 1 = 1
),
maxdates --add correlated max timestamp where the month is less or equal to the month in current record
AS ( SELECT a.* ,
( SELECT MAX(transactionTimestamp)
FROM tblSource t
WHERE t.reportid = a.reportid
AND DATEPART(yy, t.transactionTimestamp)
* 100 + DATEPART(MM,
t.transactionTimestamp) <= a.yearmonth
) maxtstamp
FROM allcombinations a
)
-- join previous data to the source table by reportid and timestamp
SELECT distinct m.reportid ,
m.yearmonth ,
t.CurrentProductionHours
FROM maxdates m
JOIN tblSource t ON t.transactionTimestamp = m.maxtstamp and t.reportid=m.reportid
ORDER BY m.reportid ,
m.yearmonth

tsql PIVOT function

Need help with the following query:
Current Data format:
StudentID EnrolledStartTime EnrolledEndTime
1 7/18/2011 1.00 AM 7/18/2011 1.05 AM
2 7/18/2011 1.00 AM 7/18/2011 1.09 AM
3 7/18/2011 1.20 AM 7/18/2011 1.40 AM
4 7/18/2011 1.50 AM 7/18/2011 1.59 AM
5 7/19/2011 1.00 AM 7/19/2011 1.05 AM
6 7/19/2011 1.00 AM 7/19/2011 1.09 AM
7 7/19/2011 1.20 AM 7/19/2011 1.40 AM
8 7/19/2011 1.10 AM 7/18/2011 1.59 AM
I would like to calculate the time difference between EnrolledEndTime and EnrolledStartTime and group it with 15 minutes difference and the count of students that enrolled in the time.
Expected Result :
Count(StudentID) Date 0-15Mins 16-30Mins 31-45Mins 46-60Mins
4 7/18/2011 3 1 0 0
4 7/19/2011 2 1 0 1
Can I use a combination of the PIVOT function to acheive the required result. Any pointers would be helpful.
Create a table variable/temp table that includes all the columns from the original table, plus one column that marks the row as 0, 16, 31 or 46. Then
SELECT * FROM temp table name PIVOT (Count(StudentID) FOR new column name in (0, 16, 31, 46).
That should put you pretty close.
It's possible (just see the basic pivot instructions here: http://msdn.microsoft.com/en-us/library/ms177410.aspx), but one problem you'll have using pivot is that you need to know ahead of time which columns you want to pivot into.
E.g., you mention 0-15, 16-30, etc. but actually, you have no idea how long some students might take -- some might take 24-hours, or your full session timeout, or what have you.
So to alleviate this problem, I'd suggesting having a final column as a catch-all, labeled something like '>60'.
Other than that, just do a select on this table, selecting the student ID, the date, and a CASE statement, and you'll have everything you need to work the pivot on.
CASE WHEN date2 - date1 < 15 THEN '0-15' WHEN date2-date1 < 30 THEN '16-30'...ELSE '>60' END.
I have an old version of ms sql server that doesn't support pivot. I wrote the sql for getting the data. I cant test the pivot, so I tried my best, couldn't test the pivot part. The rest of the sql will give you the exact data for the pivot table. If you accept null instead of 0, it can be written alot more simple, you can skip the "a subselect" part defined in "with a...".
declare #t table (EnrolledStartTime datetime,EnrolledEndTime datetime)
insert #t values('2011/7/18 01:00', '2011/7/18 01:05')
insert #t values('2011/7/18 01:00', '2011/7/18 01:09')
insert #t values('2011/7/18 01:20', '2011/7/18 01:40')
insert #t values('2011/7/18 01:50', '2011/7/18 01:59')
insert #t values('2011/7/19 01:00', '2011/7/19 01:05')
insert #t values('2011/7/19 01:00', '2011/7/19 01:09')
insert #t values('2011/7/19 01:20', '2011/7/19 01:40')
insert #t values('2011/7/19 01:10', '2011/7/19 01:59')
;with a
as
(select * from
(select distinct dateadd(day, cast(EnrolledStartTime as int), 0) date from #t) dates
cross join
(select '0-15Mins' t, 0 group1 union select '16-30Mins', 1 union select '31-45Mins', 2 union select '46-60Mins', 3) i)
, b as
(select (datediff(minute, EnrolledStartTime, EnrolledEndTime )-1)/15 group1, dateadd(day, cast(EnrolledStartTime as int), 0) date
from #t)
select count(b.date) count, a.date, a.t, a.group1 from a
left join b
on a.group1 = b.group1
and a.date = b.date
group by a.date, a.t, a.group1
-- PIVOT(max(date)
-- FOR group1
-- in(['0-15Mins'], ['16-30Mins'], ['31-45Mins'], ['46-60Mins'])AS p