Trouble creating SQL Query to update line item amounts - sql-server

I'm going to preface this question with the disclaimer that creating what I call "complex" queries isn't in my forte. Most of the time, there is a much simpler way to accomplish what I'm trying to accomplish so if the below query isn't up to par, I apologize.
With that said, I have a table that keeps track of Vendor Invoices and Vendor Invoice Items (along with a Vendor Invoice Type and Vendor Invoice Item Type). Our bookkeeper wants a report that simply shows: Vendor | Location | Inv Number | Inv Type | Item Type | Inv Date | Rental Fee | Restock Fee | Shipping Fee | Line Item Cost | Total (Line Item + Fees)
Most of the time, one vendor invoice is one line. However, there are exceptions where a vendor invoice can have many item types, thus creating two rows. Not a big deal EXCEPT the fees (Rental, Restock, Shipping) are attached to the Vendor Invoice table. So, I first created a query that checks the temp table for Invoices that have multiple rows, takes the last row, and zero's out the fees. So that only one line item would have the fee. However, our bookkeeper doesn't like that. Instead, she'd like the fees to be "distributed" among the line items.
So, if a vendor invoice has a $25 shipping charge, has two line items, then each line item would be $12.50.
After working with the query, I got it to update the Last Row to be the adjusted amount but row 1+ would have the original amount.
I'm going to post my entire query here (again - I'm sorry that this may not be the best looking query; however, suggestions are always welcome)
DROP TABLE #tVendorInvoiceReport
DROP TABLE #tSummary
SELECT v.Name AS Vendor ,
vii.Location ,
vi.VendorInvNumber ,
vit.Descr AS InvoiceType ,
vii.VendorInvoiceItemType ,
CONVERT(VARCHAR(10), vi.VendorInvDate, 120) VendorInvDate ,
vi.RentalFee ,
vi.RestockFee ,
vi.ShippingFee ,
SUM(vii.TotalUnitCost) TotalItemCost ,
CONVERT(MONEY, 0) TotalInvoice ,
RowID = IDENTITY( INT,1,1)
INTO #tVendorInvoiceReport
FROM dbo.vVendorInvoiceItems AS vii
JOIN dbo.VendorInvoices AS vi ON vii.VendorInvID = vi.VendorInvID
JOIN dbo.Vendors AS v ON vi.VendorID = v.VendorID
JOIN dbo.VendorInvoiceTypes AS vit ON vi.VendorInvTypeID = vit.VendorInvTypeID
WHERE vi.VendorInvDate >= '2012-01-01'
AND vi.VendorInvDate <= '2012-01-31'
GROUP BY v.Name ,
vii.Location ,
vi.VendorInvNumber ,
vit.Descr ,
vii.VendorInvoiceItemType ,
CONVERT(VARCHAR(10), vi.VendorInvDate, 120) ,
vi.RentalFee ,
vi.RestockFee ,
vi.ShippingFee
ORDER BY v.Name ,
vii.Location ,
vi.VendorInvNumber ,
vit.Descr ,
vii.VendorInvoiceItemType ,
CONVERT(VARCHAR(10), vi.VendorInvDate, 120)
SELECT VendorInvNumber ,
COUNT(RowID) TotalLines ,
MAX(RowID) LastLine
INTO #tSummary
FROM #tVendorInvoiceReport
GROUP BY VendorInvNumber
WHILE ( SELECT COUNT(LastLine)
FROM #tSummary AS ts
WHERE TotalLines > 1
) > 0
BEGIN
DECLARE #LastLine INT
DECLARE #NumItems INT
SET #LastLine = ( SELECT MAX(LastLine)
FROM #tSummary AS ts
WHERE TotalLines > 1
)
SET #NumItems = ( SELECT COUNT(VendorInvNumber)
FROM #tVendorInvoiceReport
WHERE VendorInvNumber IN (
SELECT VendorInvNumber
FROM #tSummary
WHERE LastLine = #LastLine )
)
UPDATE #tVendorInvoiceReport
SET RentalFee = ( RentalFee / #NumItems ) ,
RestockFee = ( RestockFee / #NumItems ) ,
ShippingFee = ( ShippingFee / #NumItems )
WHERE RowID = #LastLine
DELETE FROM #tSummary
WHERE LastLine = #LastLine
--PRINT #NumItems
END
UPDATE #tVendorInvoiceReport
SET TotalInvoice = ( TotalItemCost + RentalFee + RestockFee + ShippingFee )
SELECT Vendor ,
Location ,
VendorInvNumber ,
InvoiceType ,
VendorInvoiceItemType ,
VendorInvDate ,
RentalFee ,
RestockFee ,
ShippingFee ,
TotalItemCost ,
TotalInvoice
FROM #tVendorInvoiceReport AS tvir
I sincerely appreciate anyone who took the time to read this and attempt to point me in the right direction.
Thank you,
Andrew
PS - I did try and remove "WHERE RowID = #LastLine" from the first Update, but that changed the Shipping Fees for the first line with two items to "0.0868" instead of 12.50 ($25/2)

If I understand correctly, you're looking for a way to split something like an invoice shipping fee over one or more invoice items.
I created some sample invoice and invoice item tables shown below and used the
over(partition) clause to split out the shipping per item.
-- sample tables
declare #Invoice table (InvoiceID int, customerID int, Date datetime, ShippingFee float)
declare #InvoiceItem table (InvoiceItemID int identity, InvoiceID int, ItemDesc varchar(50), Quantity float, ItemPrice float)
-- Example 1
insert #Invoice values(1, 800, getdate(), 20);
insert #InvoiceItem values(1, 'Widget', 1, 10.00)
insert #InvoiceItem values(1, 'Wing Nut', 5, 2.00)
insert #InvoiceItem values(1, 'Doodad', 8, 0.50)
insert #InvoiceItem values(1, 'Thingy', 3, 1.00)
-- Example 2
insert #Invoice values(2, 815, getdate(), 15);
insert #InvoiceItem values(2, 'Green Stuff', 10, 1.00)
insert #InvoiceItem values(2, 'Blue Stuff', 10, 1.60)
-- Example 3
insert #Invoice values(3, 789, getdate(), 15);
insert #InvoiceItem values(3, 'Widget', 10, 1.60)
-- query
select
n.InvoiceID,
n.InvoiceItemID,
n.ItemDesc,
n.Quantity,
n.ItemPrice,
ExtendedPrice = n.Quantity * n.ItemPrice,
Shipping = i.ShippingFee / count(n.InvoiceItemID) over(partition by n.InvoiceID)
from #InvoiceItem n
join #Invoice i on i.InvoiceID = n.InvoiceID
Output:
InvoiceID InvoiceItemID ItemDesc Quantity ItemPrice ExtendedPrice Shipping
1 1 Widget 1 10 10 5
1 2 Wing Nut 5 2 10 5
1 3 Doodad 8 0.5 4 5
1 4 Thingy 3 1 3 5
2 5 Green Stuff 10 1 10 7.5
2 6 Blue Stuff 10 1.6 16 7.5
3 7 Widget 10 1.6 16 15

Related

Creating SQL Server (T-SQL) view that flattens nulls

I'm having a lot of difficulty trying to create a view that flattens the data without nulls. I've supplied the code that creates two basic tables and my view code so you can see what I've tried so far. Please note that the two tables do not have a matching primary or foreign key column, so the summary in the view is created by just joining on City. I can't use XML because my team of data analysts all have intermediate skills and won't be able to understand it. I considered using a recursive CTE, but I can't get it right. The result produces 6 lines but I want 3 lines.
Thanks for any ideas about a better way to achieve this.
CREATE TABLE A (
OrdID int,
Cat varchar(255),
Qty int,
City varchar(255),
Ctry varchar(255)
);
INSERT INTO A (OrdID, Cat, Qty, City, Ctry)
VALUES (1, 'TV', 5,'London', 'England');
INSERT INTO A (OrdID, Cat, Qty, City, Ctry)
VALUES (2, 'Laptop', 3,'London', 'England');
INSERT INTO A (OrdID, Cat, Qty, City, Ctry)
VALUES (3, 'Laptop', 4, 'Berlin', 'Germany');
CREATE TABLE Cust (
CustID int,
CustType varchar(255),
City varchar(255),
NumItems int,
);
INSERT INTO Cust (CustID, CustType, City, NumItems)
VALUES (1, 'New', 'London', 2);
INSERT INTO Cust (CustID, CustType, City, NumItems)
VALUES (2, 'Returning','London', 5);
INSERT INTO Cust (CustID, CustType, City, NumItems)
VALUES (3, 'Returning','Berlin', 2);
INSERT INTO Cust (CustID, CustType, City, NumItems)
VALUES (4, 'New','Berlin', 8);
alter view My_View
as
With CTE_FlattenNulls
as
(
Select
S.Cat
, S.Qty
, S.City
, S.Ctry
, case when C.CustType like 'New' then sum(C.NumItems) end as NewC
, case when C.CustType like 'Returning' then sum(C.NumItems) end as RetC
from A as S
left join Cust as C
on S.City = C.City
group by
S.Cat
, S.Qty
, S.City
, S.Ctry
, C.CustType
)
select
Cat
,Qty
,City
,Ctry
,NewC
,RetC
,SUM(IsNull(NewC, 0) + IsNull(RetC, 0)) as TotC
from CTE_FlattenNulls
group by
Cat
,Qty
,City
,Ctry
,NewC
,RetC
go
Just adding the output that I wanted:
Cat
Qty
City
Cntry
NewC
RetCust
TotC
Laptop
4
Berlin
Germany
8
2
10
Laptop
3
London
England
2
5
7
TV
5
London
England
2
5
7
You were very close.
See comments in code for explanation.
With CTE_FlattenNulls
as
(
Select S.Cat, S.Qty, S.City, S.Ctry,
-- To do conditional summation case expression needs to be inside the SUM function
sum( case when C.CustType like 'New' then C.NumItems else 0 end ) as NewC,
sum( case when C.CustType like 'Returning' then C.NumItems else 0 end ) as RetC
from A as S
left join Cust as C
on S.City = C.City
group by
S.Cat
, S.Qty
, S.City
, S.Ctry
-- then you do not need to group by this column and therefore you do not get extra rows
--, C.CustType
)
select Cat, Qty, City, Ctry, NewC, RetC,
-- As per your example, you would no longer need GROUP BY,
-- therefore SUM function should be removed
SUM(IsNull(NewC, 0) + IsNull(RetC, 0)) as TotC
from CTE_FlattenNulls
-- As per your example, you would no longer need GROUP BY
group by Cat, Qty, City, Ctry
-- ,NewC -- Definitely not needed anymore
-- ,RetC -- Definitely not needed anymore
Everything else stays the same
To get to your result, why can you not just do a simple group by with conditional sum ?
It has no need for a CTE
See this example, also in this DBFiddle
select A.Cat,
A.Qty,
A.City,
min(A.Ctry) as Country,
sum(case when C.CustType = 'New' then C.NumItems else 0 end) as NewC,
sum(case when C.CustType = 'Returning' then C.NumItems else 0 end) as RetCust,
sum(C.NumItems) as TotC
from A
join Cust C on A.City = C.City
group by A.Cat,
A.Qty,
A.City
order by A.Cat, A.City
it returns this
Cat
Qty
City
Country
NewC
RetCust
TotC
Laptop
4
Berlin
Germany
8
2
10
Laptop
3
London
England
2
5
7
TV
5
London
England
2
5
7

Query Temporal Table and Combine Rows

Let's say I have a temporal table called ProductDetails that using below query return some historical data.
SELECT * FROM ProductDetails
FOR system_time
BETWEEN '1900-01-01 00:00:00' AND '9999-12-31 00:00:00'
WHERE ProductID = 8
ID ProductID(FK) Attribute Value SysStartTime SysEndTime
-- ------------- --------- ----- ------------------- ----------
1 8 Size S 2020-07-06 05:00:00 9999-12-31 23:59:59
2 8 Color Blue 2020-07-06 05:00:01 2020-07-09 11:11:11
2 8 Color Green 2020-07-09 11:11:11 9999-12-31 23:59:59
This means when product with ID = 8 was created at 2020-07-06 05:00:00, 2 attributes were added, and then later one of records was edited to change from "Blue" to "Green". Notice that SysStartTime for second row has 1 second difference when they were saved.
Now I need to write a query to have below results. Basically, it is attribute values in different snapshots of time when changes occurred. Time is down to minute.
Start Time End Time Attributes Values
---------------- ---------------- -----------------
2020-07-06 05:00 2020-07-09 11:11 Size = S, Color = Blue
2020-07-09 11:11 NULL Size = S, Color = Green
How can I achieve that? Each product might have different attributes, but the query is for one product at a time.
Below is a solution that formats your data in one query. Performance is not an issue with a small data set of 4 rows (I added a row to your example), but my guess is that this will not be fast for millions of records.
The solution provided here generates different data sets in the form of common table expressions (CTE) and uses some techniques from other StackOverflow answers to remove the seconds and concatenate the row values. Plus a cross apply at the end.
The approach can be described in steps that correspond with the consecutive CTE's / joins:
Create a set of attributes for each product.
Create a set of period start moments for each product (leaving out the seconds).
Combine the attributes for each product with each period and look for the appropriate value.
Use some XML functions to format the attributes values in a single row.
Use cross apply to fetch the period end.
Full solution:
-- sample data
declare #data table
(
ID int,
ProductId int,
Attribute nvarchar(10),
Value nvarchar(10),
SysStartTime datetime2(0),
SysEndTime datetime2(0)
);
insert into #data (ID, ProductId, Attribute, Value, SysStartTime, SysEndTime) values
(1, 8, 'Size', 'S', '2020-07-06 05:00:00', '9999-12-31 23:59:59'),
(2, 8, 'Color', 'Blue', '2020-07-06 05:00:01', '2020-07-09 11:11:11'),
(2, 8, 'Color', 'Green', '2020-07-09 11:11:11', '9999-12-31 23:59:59'),
(2, 8, 'Weight', 'Light', '2020-07-10 10:11:12', '9999-12-31 23:59:59'); -- additional data to have extra attribute not available from start
-- solution
with prodAttrib as -- attributes per product
(
select d.ProductId, d.Attribute
from #data d
group by d.ProductId, d.Attribute
),
prodPeriod as -- periods per product
(
select d.ProductId,
dateadd(minute, datediff(minute, 0, d.SysStartTime), 0) as 'SysStartTimeNS' -- start time No Seconds
from #data d
group by ProductId, dateadd(minute, datediff(minute, 0, d.SysStartTime), 0)
),
prodResult as -- attribute value per period per product
(
select pp.ProductId,
convert(nvarchar(16), pp.SysStartTimeNS, 120) as 'FromDateTime',
convert(nvarchar(16), coalesce(pe.SysEndTime, '9999-12-31 23:59:59'), 120) as 'ToDateTime',
pa.Attribute,
av.Value
from prodPeriod pp
join prodAttrib pa
on pa.ProductId = pp.ProductId
outer apply ( select top 1 d.Value
from #data d
where d.ProductId = pp.ProductId
and d.Attribute = pa.Attribute
and dateadd(minute, datediff(minute, 0, d.SysStartTime), 0) <= pp.SysStartTimeNS
order by d.SysStartTime desc ) av -- attribute values per product
outer apply ( select top 1 dateadd(second, -1, d.SysStartTime) as 'SysEndTime'
from #data d
where d.ProductId = pp.ProductId
and dateadd(minute, datediff(minute, 0, d.SysStartTime), 0) > pp.SysStartTimeNS
order by d.SysStartTime ) pe -- period end
),
prodResultFormat as -- concatenate attribute values per period
(
select pp.ProductId,
convert(nvarchar(16), pp.SysStartTimeNS, 120) as 'FromDateTime',
(
select pr.Attribute + ' = ' + coalesce(pr.Value,'') + ', ' as [text()]
from prodResult pr
where pr.ProductId = pp.ProductId
and pr.FromDateTime = convert(nvarchar(16), pp.SysStartTimeNS, 120)
order by pr.Attribute
for xml path('')
) as 'Attributes'
from prodPeriod pp
)
select prf.ProductId,
prf.FromDateTime,
x.ToDateTime,
left(prf.Attributes, len(prf.Attributes)-1) as 'Attributes'
from prodResultFormat prf
cross apply ( select top 1 pr.ToDateTime
from prodResult pr
where pr.ProductId = prf.ProductId
and pr.FromDateTime = prf.FromDateTime ) x
order by prf.ProductId, prf.FromDateTime;
Result for extended example data:
ProductId FromDateTime ToDateTime Attributes
----------- ---------------- ---------------- ----------------------------------------
8 2020-07-06 05:00 2020-07-09 11:11 Color = Blue, Size = S, Weight =
8 2020-07-09 11:11 2020-07-10 10:11 Color = Green, Size = S, Weight =
8 2020-07-10 10:11 9999-12-31 23:59 Color = Green, Size = S, Weight = Light
P.S. replace x.EndDateTime with case when x.ToDateTime = '9999-12-31 23:59' then NULL else x.ToDateTime end as 'ToDateTime' if you really need the NULL values.

Total Number of Leaves of same type in a month

I have 2 tables name EmployeeInfo and Leave and I am storing the values that which employee have taken which type of leave in month and how many times.
I am trying to calculate the number of leaves of same type but I'm stuck at one point for long time.
IF EXISTS(SELECT 1 FROM sys.tables WHERE object_id = OBJECT_ID('Leave'))
BEGIN;
DROP TABLE [Leave];
END;
GO
IF EXISTS(SELECT 1 FROM sys.tables WHERE object_id = OBJECT_ID('EmployeeInfo'))
BEGIN;
DROP TABLE [EmployeeInfo];
END;
GO
CREATE TABLE [EmployeeInfo] (
[EmpID] INT NOT NULL PRIMARY KEY,
[EmployeeName] VARCHAR(255)
);
CREATE TABLE [Leave] (
[LeaveID] INT NOT NULL PRIMARY KEY,
[LeaveType] VARCHAR(255) NULL,
[DateFrom] VARCHAR(255),
[DateTo] VARCHAR(255),
[Approved] Binary,
[EmpID] INT FOREIGN KEY REFERENCES EmployeeInfo(EmpID)
);
GO
INSERT INTO EmployeeInfo([EmpID], [EmployeeName]) VALUES
(1, 'Marcia'),
(2, 'Lacey'),
(3, 'Fay'),
(4, 'Mohammad'),
(5, 'Mike')
INSERT INTO Leave([LeaveID],[LeaveType],[DateFrom],[DateTo], [Approved], [EmpID]) VALUES
(1, 'Annual Leave','2018-01-08 04:52:03','2018-01-10 20:30:53', 1, 1),
(2, 'Sick Leave','2018-02-10 03:34:41','2018-02-14 04:52:14', 0, 2),
(3, 'Casual Leave','2018-01-04 11:06:18','2018-01-05 04:11:00', 1, 3),
(4, 'Annual Leave','2018-01-17 17:09:34','2018-01-21 14:30:44', 0, 4),
(5, 'Casual Leave','2018-01-09 23:31:16','2018-01-12 15:11:17', 1, 3),
(6, 'Annual Leave','2018-02-16 18:01:03','2018-02-19 17:16:04', 1, 2)
My query which I have tried so far look something like this.
SELECT Info.EmployeeName, Leave.LeaveType, SUM(DATEDIFF(Day, Leave.DateFrom, Leave.DateTo)) [#OfLeaves], DatePart(MONTH, Leave.DateFrom)
FROM EmployeeInfo Info, Leave
WHERE Info.EmpID = Leave.EmpID AND Approved = 1
GROUP BY Info.EmployeeName, Leave.LeaveType, [Leave].[DateFrom], [Leave].[DateTo]
And the record like given below
EmployeeName LeaveType #OfLeaves MonthNumber
-------------- ----------------- ----------- -----------
Fay Casual Leave 1 1
Fay Casual Leave 3 1
Lacey Annual Leave 3 2
Marcia Annual Leave 2 1
I want the record to look like this
EmployeeName LeaveType #OfLeaves MonthNumber
-------------- ----------------- ----------- -----------
Fay Casual Leave 4 1
Lacey Annual Leave 3 2
Marcia Annual Leave 2 1
If you don't want to modify existing query due to some constraint, this might work:
Select iq.EmployeeName, iq.LeaveType, SUM(iq.#OfLeaves) as #OfLeaves, iq.MonthNumber
From (
SELECT Info.EmployeeName, Leave.LeaveType, SUM(DATEDIFF(Day, Leave.DateFrom, Leave.DateTo)) [#OfLeaves], DatePart(MONTH, Leave.DateFrom) as MonthNumber
FROM EmployeeInfo Info, Leave
WHERE Info.EmpID = Leave.EmpID AND Approved = 1
GROUP BY Info.EmployeeName, Leave.LeaveType, [Leave].[DateFrom], [Leave].[DateTo]
)iq
group by iq.EmployeeName, iq.LeaveType, iq.MonthNumber
This just need small adjustment with your query in the GROUP BY clause. Instead of grouping them by [Leave].[DateFrom] and [Leave].[DateTo] which causes the row to be separated, you need to group it with the calculated column that uses datepart.
SELECT Info.EmployeeName,
Leave.LeaveType,
SUM(DATEDIFF(Day, Leave.DateFrom, Leave.DateTo)) [#OfLeaves],
DatePart(MONTH, Leave.DateFrom)
FROM EmployeeInfo Info
INNER JOIN Leave
ON Info.EmpID = Leave.EmpID
WHERE Approved = 1
GROUP BY Info.EmployeeName,
Leave.LeaveType,
DatePart(MONTH, Leave.DateFrom) -- <<<< change only this part
Here's a Demo.
I have also modified the syntax into ANSI format.

Selecting records for deletions based on relationship with previous and next records

I have a SQL Server 2014 table with millions of gps coordinates, each at a particular time. However the interval between the registrations is not fixed and varies from 1 second to a couple of hours. I only want to keep one measurement every 4 minutes, so the other records have to be deleted.
I tried a WHILE loop in T-SQL that traverses every record, with inside the loop a select statement with a double CROSS APPLY to only return a record if it sits in beween 2 other records which are not more than 4 minutes apart. However this strategy turns out to be too slow.
Can this be done with a set-based solution ? Or is there a way to speed-up this query ? (the test query below is just printing, not yet deleting)
SELECT * INTO #myTemp FROM gps ORDER BY TimePoint asc
declare #Id Uniqueidentifier
declare #d1 varchar(19)
declare #d2 varchar(19)
declare #d3 varchar(19)
While EXISTS (select * from #myTemp )
BEGIN
select top 1 #Id = ID FROM #myTemp order by TimePoint asc
SELECT
#d1 = convert(varchar(19), a.justbefore, 121),
#d2 = convert(varchar(19), b.tijdstip, 121),
#d3 = convert(varchar(19), c.justafter, 121)
FROM Gps B CROSS APPLY
(
SELECT top 1 TimePoint as justbefore
FROM Gps
WHERE (B.TimePoint > TimePoint ) AND (B.Id = #Id )
ORDER by TimePoint desc
) A
CROSS APPLY (
SELECT top 1 TimePoint as justafter
FROM Gps
WHERE (Datediff(n,A.justbefore,TimePoint ) between -4 AND 0)
AND (B.TimePoint < TimePoint )
ORDER by TimePoint asc
) C
print 'ID=' + Cast(#id as varchar(50))
+ ' / d1=' + #d1 + ' / d2=' + #d2 + ' / d3=' + #d3
DELETE #myTemp where Id = #id
END
--
Sample data:
Id TimePoint Lat Lon
1 20170725 13:05:27 12,256 24,123
2 20170725 13:10:27 12,254 24,120
3 20170725 13:10:29 12,253 24,125
4 20170725 13:11:55 12,259 24,127
5 20170725 13:11:59 12,255 24,123
6 20170725 13:14:28 12,254 24,126
7 20170725 13:16:52 12,259 24,121
8 20170725 13:20:53 12,257 24,125
In this case records 3,4,5 should be deleted.
Record 7 should stay as the gap between 7 and 8 is longer than 4 minutes.
Looking at the numbers... It looks like 1 & 2 stay (5 mins apart)...3, 4, & 5 should go... 6 stays (4 mins from 2)... 7 should go (only 2 mins from 6) and 8 stays (6 mins from 6)...
If this is correct, the following will do what you're looking for...
IF OBJECT_ID('tempdb..#TestData', 'U') IS NOT NULL
DROP TABLE #TestData;
CREATE TABLE #TestData (
Id INT NOT NULL PRIMARY KEY CLUSTERED,
TimePoint DATETIME2(0) NOT NULL,
Lat DECIMAL(9,3),
Lon DECIMAL(9,3)
);
INSERT #TestData (Id, TimePoint, Lat, Lon) VALUES
(1, '20170725 13:05:27', 12.256, 24.123),
(2, '20170725 13:10:27', 12.254, 24.120),
(3, '20170725 13:10:29', 12.253, 24.125),
(4, '20170725 13:11:55', 12.259, 24.127),
(5, '20170725 13:11:59', 12.255, 24.123),
(6, '20170725 13:14:28', 12.254, 24.126),
(7, '20170725 13:16:52', 12.259, 24.121),
(8, '20170725 13:20:53', 12.257, 24.125);
-- SELECT * FROM #TestData td;
--================================================================================
WITH
cte_AddLag AS (
SELECT
td.Id, td.TimePoint, td.Lat, td.Lon,
MinFromPrev = DATEDIFF(mi, LAG(td.TimePoint, 1) OVER (ORDER BY td.TimePoint), td.TimePoint)
FROM
#TestData td
),
cte_TimeGroup AS (
SELECT
*,
TimeGroup = ISNULL(SUM(al.MinFromPrev) OVER (ORDER BY al.TimePoint ROWS UNBOUNDED PRECEDING) / 4, 0)
FROM
cte_AddLag al
)
SELECT TOP 1 WITH TIES
tg.Id,
tg.TimePoint,
tg.Lat,
tg.Lon
FROM
cte_TimeGroup tg
ORDER BY
ROW_NUMBER() OVER (PARTITION BY tg.TimeGroup ORDER BY tg.TimePoint);
Results...
Id TimePoint Lat Lon
----------- --------------------------- --------------------------------------- ---------------------------------------
1 2017-07-25 13:05:27 12.256 24.123
2 2017-07-25 13:10:27 12.254 24.120
6 2017-07-25 13:14:28 12.254 24.126
8 2017-07-25 13:20:53 12.257 24.125
HTH, Jason

how to insert record in between particular record in SQL

suppose i have a customer balance details table. For Example :
CustID CustName CustDate Amt Bal
1 DP 1/5/2013 1000 1000
1 DP 5/5/2013 100 1100
1 Dhara 10/5/2013 1000 1000
1 DP 10/5/2013 1000 2100
now user insert a record CustName = DP , CustDate = 7/5/2013 , Amt = 400 then that record should be added after date 5/5/2013 and before 10/5/2013 and respective balance should be change also as follows :
CustID CustName CustDate Amt Bal
1 DP 1/5/2013 1000 1000
1 DP 5/5/2013 100 1100
1 DP 7/5/2013 400 1500
1 Dhara 10/5/2013 1000 1000
1 DP 10/5/2013 1000 2500
How do i achieve when inserting record in database ? How do i check when date lies between already inserted records ? Please Help
I think, you can get what you want if you use an ORDER BY clause to access the data in the desired order. Please also refer to your DB documentation for the use of indices.
Here is one suggestion on how do do it: http://www.sqlfiddle.com/#!3/d341b/9
CREATE TABLE Customer
(
CustId INT,
CustName NVARCHAR(150),
CustDate DATE,
Amt INT,
)
INSERT INTO Customer
(CustID, CustName, CustDate, Amt)
VALUES
(1, 'DP', '2013-01-05 00:00:00', 1000),
(1, 'DP', '2013-05-05 00:00:00', 100),
(1, 'DP', '2013-07-05 00:00:00', 400),
(1, 'Dhara', '2013-10-05 00:00:00', 1000),
(1, 'DP', '2013-10-05 00:00:00', 1000)
;
;WITH RankedCustomer AS
(
SELECT
CustId
, CustName
, CustDate
, Amt
, ROW_NUMBER() OVER(ORDER BY CustDate) Row
FROM
Customer
)
SELECT
Customer.CustId
, Customer.CustName
, Customer.CustDate
, Customer.Amt
, SUM(PreviousCustomer.Amt)
FROM
RankedCustomer Customer
LEFT JOIN RankedCustomer PreviousCustomer
ON PreviousCustomer.CustId = Customer.CustId
AND PreviousCustomer.CustName = Customer.CustName
AND PreviousCustomer.Row <= Customer.Row
GROUP BY
Customer.CustId
, Customer.CustName
, Customer.CustDate
, Customer.Amt
ORDER BY
Customer.CustDate

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