Split a particular month into weeks and days - sql-server

Suppose I took the month November.I need to display first row as shown below.The rest of the rows should be the data from database.The rows display post date and amount and if data is present on those dates,it should be shown.I also need to show the weekly totals and monthly totals of the amounts taken.This is shown for a PARTICULAR MONTH of a PARTICULAR YEAR.
I was planning to write a query for the data and implement it in Telerik via crosstab.Please give your thoughts on the same.
Input:-
POST DATE Amount($)
2013-11-01 00:00:00.000 50.00
2013-11-04 09:30:12.000 10.00
2013-11-05 11:04:00.000 20.00
2013-11-06 00:00:00.000 30.00
2013-11-07 00:00:00.000 40.00
2013-11-08 00:00:00.000 10.00
2013-11-11 00:00:00.000 10.00
2013-11-12 00:00:00.000 10.00
2013-11-15 00:00:00.000 10.00
.
.
.
The data(for the month November) should be visible like this:-
01-Nov Weekly Total 04-Nov 05-Nov 06-Nov 07-Nov 08-Nov Weekly Total 11-Nov 12-Nov 13-Nov 14-Nov 15-Nov Weekly Total 18-Nov 19-Nov 20-Nov 21-Nov 22-Nov Weekly Total 25-Nov 26-Nov 27-Nov 29-Nov Weekly Total MTD Total
50$ 50$ 10$ 20$ 30$ 40$ 10$ 110$ 10$ 10$ 10$ 30$
Thanks in advance

MSDN Date and Time Data Types and Functions (Transact-SQL)
DECLARE #TempTrans AS Table (
ID INT NOT NULL IDENTITY PRIMARY KEY
,DateTimeTrans DATETIME NOT NULL
,Amount MONEY NOT NULL
)
INSERT INTO #TempTrans (DateTimeTrans, Amount)
VALUES ('20131101', 50)
,('20131104 09:30:12',10)
,('20131104 11:04:00',15)
,('20131105',20)
,('20131106',30)
,('20131111',10)
,('20131115',80)
,('20131119',70)
,('20131123',60)
,('20111129 10:08:04',25)
SELECT *
,CASE
WHEN [weekNumber] IS NULL AND [Date] IS NULL THEN 'MTD Total'
WHEN [Date] IS NULL THEN 'Weekly Total'
ELSE CAST([Date] as varchar(30))
END as [Description]
FROM (
SELECT DATEPART(week,DateTimeTrans) as weekNumber,CAST(DateTimeTrans as date) as Date, SUM(Amount) as Amount
FROM #TempTrans
WHERE DATEPART(MONTH,DateTimeTrans) = 11
GROUP BY DATEPART(week,DateTimeTrans) ,CAST(DateTimeTrans as date)
WITH Rollup
) grp
GO

Related

Snowflake- Calculate day of Quarter

Snowflake has the simply function Quarter(timestamp()) which returns current quarter, but wondering how to do day of QTR , all tutorials reference Postgres/ sql server.
Goal - create a date table, and show what day of the quarter it is for the next 20 years.
SELECT column1::timestamp as d,
DATE_TRUNC('QUARTER',d) as q,
DATEDIFF('day',q, d) as doq
FROM VALUES ('2019-10-30'),('2019-10-01');
gives 0 for the first day of the quarter, so if you need that to be 1 you can +1 that datadiff.
D Q DOQ
2019-10-30 00:00:00.000 2019-10-01 00:00:00.000 29
2019-10-01 00:00:00.000 2019-10-01 00:00:00.000 0
[Edit:] After re-reading your goal of a 20 year table, here is some code I have used in snowflake in the past to just that:
CREATE OR REPLACE TABLE twenty_years_of_days(date) AS
SELECT DATEADD(day, rn, CURRENT_DATE) as date,
DATE_TRUNC('QUARTER',date) as quarter,
DATEDIFF('day',quarter, date) as doq
FROM (
SELECT row_number() over(order by 1) as rn
FROM TABLE(GENERATOR(rowCount => 365*20)) v
);

How to differentiate if difference between dates in weekly on monthly?

I have a table in which employee's loan details are being saved. Some employee get loan on weekly basis and wish to return each installment weekly and some wish to return installments monthly.
I want to get the total duration on the loan period if employee wishes to return installments weekly then it should give output like 5 Weeks or 10 Weeks but if employee wishes to return installments monthly it should give result like 4 Months or 15 Months.
Here is the sample data
LoanID DueDate AmountToBePaid
2 2019-01-01 500
2 2019-01-07 500
2 2019-01-14 500
2 2019-01-21 500
2 2019-01-28 500
3 2019-01-01 1500
3 2019-02-01 1500
3 2019-03-01 1500
3 2019-04-01 1500
Here is what I've tried but it gives output in weeks no matter if the installments are to be paid monthly as for loan id 3.
SELECT
LoanId,
DATEDIFF(WEEK, inst_start, inst_end) weeks
FROM LoanMaster LM
INNER JOIN (
SELECT
dateadd(month, -1,min(duedate)) inst_start,
max(duedate) inst_end
FROM LoanDetail
) LD
ON LM.ID = LD.LoanID
Out should be like:
LoanId Duration
2 4 Weeks
3 3 Months
If your data strictly follow the rule that for the same LoanID the DueDates will be either only consecuctive weeks or only consecuctive months, then we can deduce the period by dividing the range with the row count:
SELECT
LoanID,
case
when datediff(month,min(DueDate),max(dueDate))=count(*)-1
then str(datediff(month,min(DueDate),max(dueDate)))+' Months'
else
str(datediff(week,min(DueDate),max(dueDate)))+' Weeks'
end as Duration
FROM LoanMaster LM
GROUP BY LOANID

Calculating number of con-consecutive total years donated in SQL

I have some sample donation history:
ID TransactionDate Amount
10 2001-12-19 00:00:00.000 75.00
10 2001-07-11 00:00:00.000 760.00
10 2010-10-15 00:00:00.000 2200.00
10 2012-08-15 00:00:00.000 1220.00
10 2013-09-16 00:00:00.000 610.00
100 2000-09-26 00:00:00.000 3000.00
100 1999-01-01 00:00:00.000 5000.00
I am trying to get a summary of giving by year by donor. The total does not have to be for consecutive years, but will just total overall # of years given. The total does not need to equal the number of transactions per year, just that the ID donated in that particular year.
For instance, ID 10 above would equal 4 indicating giving in 4 calendar years (2 donations in 2001, 1 in 2010, 1 in 2012, and 1 in 2013). ID 100 would equal 2.
The donations date back many years, so hard-coding dates is not very feasible.
Any ideas are appreciated.
Try this:
SELECT ID, DATEPART(yy,TransactionDate) Year, COUNT(*)
FROM tableName
GROUP BY ID, DATEPART(yy,TransactionDate)
You just need to return and then group on the relevant parts of your data, which is the ID and the year of the TransactionDate:
select d.ID
,count(1) as DonationYears
from(select distinct ID -- Sub query returns one row per ID and Year, which is counted up by ID in the outer query
,year(TransactionDate) as TranYear
from Donations
) d
group by d.ID

Fetching dates monthly from the table

Can you help out with a problem
I have table price table which has daily prices starting 31st Dec 2010 till todays date.The table contains daily prices
2009-12-31 00:00:00.000 1.0020945351
2010-01-01 00:00:00.000 1.0021009300
2010-01-04 00:00:00.000 1.0021910181
2010-01-05 00:00:00.000 1.0022005986
2010-01-06 00:00:00.000 1.0022428696
2010-01-07 00:00:00.000 1.0022647147
2010-01-08 00:00:00.000 1.0022842726
2010-01-11 00:00:00.000 1.0023374302
2010-01-12 00:00:00.000 1.0023465374
2010-01-13 00:00:00.000 1.0023638081
2010-01-14 00:00:00.000 1.0023856533
2010-01-00 00:00:00.000 1.0024083955
2010-01-18 00:00:00.000 1.0024779677
2010-01-19 00:00:00.000 1.0025020553
2010-01-20 00:00:00.000 1.002521135
2010-01-21 00:00:00.000 1.0025420688
2010-01-22 00:00:00.000 1.0025593397
2010-01-25 00:00:00.000 1.0026180146
2010-01-26 00:00:00.000 1.002637573
2010-01-27 00:00:00.000 1.0026648447
2010-01-28 00:00:00.000 1.0026957934
2010-01-29 00:00:00.000 1.0027267421
2010-02-01 00:00:00.000 1.0028195885
2010-02-02 00:00:00.000 1.0028573523
2010-02-03 00:00:00.000 1.0028964611
2010-02-04 00:00:00.000 1.00293557
2010-02-05 00:00:00.000 1.002973334
2010-02-08 00:00:00.000 1.0030879717
2010-02-09 00:00:00.000 1.0031279777
2010-02-10 00:00:00.000 1.003171166
2010-02-11 00:00:00.000 1.0032007452
2010-02-12 00:00:00.000 1.0032575895
2010-02-00 00:00:00.000 1.0033749191
2010-02-1 00:00:00.000 1.0034140292
2010-02-17 00:00:00.000 1.003452691
2010-02-18 00:00:00.000 1.0034918013
2010-02-19 00:00:00.000 1.0035395633
2010-02-22 00:00:00.000 1.0036664439
2010-02-23 00:00:00.000 1.0037042097
2010-02-24 00:00:00.000 1.0037510759
2010-02-25 00:00:00.000 1.0038001834
2010-02-26 00:00:00.000 1.003850077
I need to write a query to get index based on
(Last day of current month/Previous month last day) - 1 * 100.So that output comes something like this
31-Jan-10 0.01%
28-Feb-10 0.02%
31-Mar-10 0.00%
Following is one of the solution I thought about however please share best ideas to implement this problem
Extract last day of all the months with values into a temp table and then order by dates so that they subtract and put the values into another temp table
Looking forward to your help.
Try this....
DECLARE #StartDate DATETIME = '2010-01-01',
#EndDate DATETIME = GETDATE();
WITH data AS (
SELECT 1 AS i, CONVERT(DATETIME, NULL) AS StartDate, DATEADD(MONTH, 0, #StartDate) - 1 AS EndDate
UNION ALL
SELECT i + 1, data.EndDate, DATEADD(MONTH, i, #StartDate) - 1 AS EndDate
FROM data
WHERE DATEADD(MONTH, i, #StartDate) - 1 < #EndDate
)
SELECT (
((SELECT TOP 1 Rate FROM RateTable WHERE Date <= data.EndDate ORDER BY Date DESC) /
(SELECT TOP 1 Rate FROM RateTable WHERE Date <= data.StartDate ORDER BY Date DESC)- 1) * 100)
FROM DATA -- parenthesis were causing issues
WHERE data.StartDate IS NOT NULL
OPTION (MAXRECURSION 10000);
You'll need to replace the
(SELECT Rate FROM RateTable WHERE Date = data.StartDate)
and
(SELECT Rate FROM RateTable WHERE Date = data.EndDate)
With the values for your rate table. as you didn't mention column and table names in your question.
rwking indicated that there might be gaps in the rates table that would cause issues.
I've modified the subquery to bring back the first rate on or nearest the start and end dates.
Hope that helps
You can use the LAG function introduced in SQL2012 to make it a bit easier:
WITH DataWithOrder AS
(
SELECT DateField, PriceField,
ROW_NUMBER() OVER(PARTITION BY YEAR(DateField), Month(DateField) ORDER BY DateField DESC) AS Pos
FROM PriceTable
)
SELECT
DateField,
PriceField,
LAG(PriceField) OVER(ORDER BY DateField) AS PriceLastMonth,
((PriceField / LAG(PriceField) OVER(ORDER BY DateField)) - 1) * 100 AS PCIncrease
FROM DataWithOrder
WHERE Pos = 1
ORDER BY DateField
I took a very different approach than the other guy. His is more elegant and would work better if the daily data does represent every single day of every month. If there are gaps in days, however, as your sample data represents, you can try the following code.
with cte as (select mydate
, price
, ROW_NUMBER() over(partition by YEAR(mydate), MONTH(mydate)
order by day(mydate) desc) row_n
from #temp)
select mydate, price, ROW_NUMBER() over(order by mydate desc) row_num
into #temp2
from cte
where row_n = 1
alter table #temp2
add idx float
declare #counter int = 1
while #counter < (select MAX(row_num)+1 from #temp2)
begin
update t2
set t2.idx = ((t2.price/t3.price)-1)*100
from #temp2 t2 left join
#temp2 t3 on 1 = 1
where t2.row_num = #counter and t3.row_num = #counter + 1
set #counter = #counter + 1
end
select mydate, idx
from #temp2
As the other poster mentioned, you didn't provide column or table names. My process was to insert your data into a table called [#temp] with column names [mydate] and [price].
Also, the data sample you provided contains two invalid dates that I changed to arbitrary dates just for the purposes of getting code to run. (2010-01-00 and 2010-02-00)

Is this the most efficient way of doing this TSQL calculation of datediff

I have a table of data similar to below where I need to calculate the sum of all the paused time up until today. The columns can have any date in them, so PauseStart can be a future date , and PauseEnd can also be a future date. A Null date (20991231) is considered open ended, i.e. no end date to the pause was selected.
NB : Dates are UK date format
The data
PauseID RecID PauseStart PauseEnd
1022 10 2013-01-04 15:52:04.320 2013-01-21 00:00:00.000
1023 10 2013-01-01 00:00:00.000 2013-01-02 00:00:00.000
1024 10 2013-01-05 00:00:00.000 2099-01-01 00:00:00.000
The data above shows that we had a pause between 1/1/2013 and 2/1/2013, a pause between 4/1/2013 and 21/1/2013 (which should register in the sum as 4/1/2013 to 7/1/2013 11:00:00) and 5/1/2013 -> open (which should register in the sum as 5/1/2013 to 7/1/2013 11:00:00)
The columns are not indexed.
The TSQL which I have come up with looks like this
SELECT
SUM (
CASE
WHEN NULLIF(PauseEnd,'20991231') IS NULL THEN
DATEDIFF(mi, PauseStart, ISNULL(NULLIF(PauseEnd,'20991231'), GetDate()))
WHEN PauseEnd > GetDate() THEN
DATEDIFF(mi, PauseStart, GetDate())
ELSE
DATEDIFF(mi, PauseStart, ISNULL(NULLIF(PauseEnd,'20991231'), GetDate()))
END
) AS Datedifference
FROM Pauses
WHERE Pauses.RecID = 10
AND PauseStart < GetDate()
This gives me the results
4021
1440
3533
which seem correct, however my question remains,
Is this the most efficient way of achieving this result?
addendum, this table could start holding millions of records, so I'd like to make the tsql that calculates the sum efficient in the first instance.
I would do it like this:
SELECT
PauseStart,
DATEDIFF(mi, PauseStart, CASE WHEN PauseEnd > GetDate() THEN GetDate() ELSE PauseEnd END) as Datedifference
FROM Pauses
WHERE Pauses.RecID = 10 AND PauseStart < GetDate()

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