I have a table with 10000 records.
Sample
Id Transaction_Id Contract_Id Contractor_Id ServiceDetail_Id ServiceMonth UnitsDelivered CreateDate
----------------------------------------------------------------------------------------------------------------------------
1 1 352 466 590 2016-03-01 203 2016-04-25 17:01:55.000
2 1 352 466 566 2016-03-01 200 2016-04-25 17:02:38.807
3 1 352 466 138 2016-04-13 20 2016-04-13 00:00:00.000
5 1 352 466 138 2016-04-14 21 2016-04-13 00:00:00.000
6 10011 40 460 68 2016-03-17 10 2016-04-25 17:20:13.413
7 10011 40 460 511 2016-03-17 15 2016-04-25 17:20:13.413
8 10011 40 460 1611 2016-03-17 20 2016-04-25 17:20:13.413
9 20011 352 466 2563 2016-02-05 10 2016-04-25 17:20:25.307
11 100 40 460 68 2016-03-17 10 2016-04-25 17:29:23.653
In this table I have servicemonth with different dates.
I want to update the servicemonth column to the existing months last date.
suppose if I have 2016-03-17 in the table, it should be updated to 2016-3-31
suppose if I have 2016-05-12 in the table, it should be updated to 2016-5-31
Can anyone suggest a single query to update this?
EOMONTH: Returns the last day of the month that contains the specified date, with an optional offset.
UPDATE ... SET servicemonth = EOMONTH(servicemonth)
Update servicemonth
set servicemonth = DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,GETDATE())+1,0))
--replace getdate() with the date column for which you want the end day of the month
Related
First I'm using AdventureWork2019 as a reference
I have a query where I'm joining 5 Tables
USE [AdventureWorks2019]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
Alter PROCEDURE dbo.TestLocation
#UseDate DateTime
AS
BEGIN
SET NOCOUNT ON;
SELECT prodID
,SUM(PurchQty) AS TotalPurchase
,SUM(SalesQty) AS TotalSell
,StartDate
from (
SELECT DISTINCT WO.ProductID AS prodID
, StartDate
,WO.OrderQty AS PurchQty
,SOD.OrderQty AS SalesQty
FROM Sales.SalesOrderDetail SOD
LEFT JOIN Production.WorkOrderRouting WOR ON WOR.ProductID = SOD.ProductID
--LEFT JOIN Production.Location PL ON PL.LocationID = WOR.LocationID
--The above Join is the one for the locationID and it's working Fine
LEFT JOIN Production.WorkOrder WO ON WO.ProductID = SOD.ProductID
FULL OUTER JOIN Purchasing.PurchaseOrderDetail POD ON POD.ProductID = SOD.ProductID
WHERE StartDate = #UseDate
-- AND PL.LocationID >= 10
) Test3
Group by prodID,StartDate
order by prodID ASC, StartDate
END
GO
EXEC TestLocation '2011-07-02 00:00:00.000'
Output(sample):
prodID TotalPurc TotalSell StartDate
717 8 36 2011-07-02 00:00:00.000
730 9 47 2011-07-02 00:00:00.000
744 2 3 2011-07-02 00:00:00.000
747 12 21 2011-07-02 00:00:00.000
749 5 15 2011-07-02 00:00:00.000
761 16 138 2011-07-02 00:00:00.000
775 26 91 2011-07-02 00:00:00.000
777 12 78 2011-07-02 00:00:00.000
802 6 21 2011-07-02 00:00:00.000
804 40 60 2011-07-02 00:00:00.000
806 16 138 2011-07-02 00:00:00.000
807 24 23 2011-07-02 00:00:00.000
810 21 28 2011-07-02 00:00:00.000
811 6 21 2011-07-02 00:00:00.000
813 8 37 2011-07-02 00:00:00.000
817 21 28 2011-07-02 00:00:00.000
And another Table For LocationID (as a warehouse)
SELECT LocationID,CostRate,Availability
FROM Production.Location
WHERE LocationID >= 10
order by CostRate ASC
LocationID CostRate Availability
50 12.25 120.00
60 12.25 120.00
30 14.50 120.00
40 15.75 120.00
45 18.00 80.00
10 22.50 96.00
20 25.00 108.00
What I want to do is to take each LoactionId and ProdID and take TotalPurc to the location and decrement the quantity in the Availability column, each TotalSell will increment the Availability column. The max Availability quantity is 130.
If all locations have no Available quantity that is the Available is 0 for all locations then it will stop.
the above will work with the date specified as you can check the query and run it if you have
AdventureWork2019
simple output to check how I want the data to be:
prodID TotalPurc TotalSell StartDate
717 8 36 2011-07-02 00:00:00.000
730 9 47 2011-07-02 00:00:00.000
744 2 3 2011-07-02 00:00:00.000
747 12 21 2011-07-02 00:00:00.000
749 5 15 2011-07-02 00:00:00.000
LocationID CostRate Availability
50 12.25 120.00
60 12.25 120.00
30 14.50 120.00
40 15.75 120.00
45 18.00 80.00
10 22.50 96.00
20 25.00 108.00
Output :
prodID TotalPurc TotalSell StartDate LocationID Availability Remaining
717 8 36 2011-07-02 00:00:00.000 50 130 18
717 8 36 2011-07-02 00:00:00.000 60 130 8
717 8 36 2011-07-02 00:00:00.000 30 128 0
--what happened above is that I took the (120-8) = 112 then 112+36 = 148 we only can use 130 then the remaining is 18 then we took the next `LocationID` with the least Cost (120+18 = 138 we can use 130 so we took the 8) and used it in the next `LocationID`
730 9 47 2011-07-02 00:00:00.000 30 130 36
730 9 47 2011-07-02 00:00:00.000 40 130 26
730 9 47 2011-07-02 00:00:00.000 45 106 0
744 2 3 2011-07-02 00:00:00.000 45 107 0
747 12 21 2011-07-02 00:00:00.000 45 116 0
749 5 15 2011-07-02 00:00:00.000 45 126 0
--the above is the same as the first 3 rows we subtract and add to the availability
The other condition is that if all locations reached 0 or 130 then stop
How can I do that in SQL Server? I tried using CTE but didn't work well with me and tried the cursor which I think is the best for this kind of thing but didn't achieve anything.
Thank you in advance
Edit :
ALTER FUNCTION GetStockMovment
(
-- Add the parameters for the function here
#ForDate Datetime
)
RETURNS #Sums TABLE (
RemoveQTY Numeric(24, 7),
ADDQTY Numeric(24, 7)
)
AS
BEGIN
Declare #WoSum Numeric(24, 7),
#SODSUM Numeric(24, 7),
#WORSum Numeric(24, 7),
#PODSum Numeric(24, 7)
select #SODSUM = SUM(SOD.OrderQty) from Sales.SalesOrderDetail SOD
INNER JOIN Sales.SalesOrderHeader SOH ON SOD.SalesOrderID = SOH.SalesOrderID
where SOH.OrderDate = #ForDate
select #WoSum = sum(orderQty) from Production.WorkOrder
where StartDate = #ForDate
select #PODSum = sum(POD.OrderQty) from Purchasing.PurchaseOrderDetail POD
INNER JOIN Purchasing.PurchaseOrderHeader POH ON POD.PurchaseOrderID = POH.PurchaseOrderID
where POH.OrderDate = #ForDate
select #WoSum = sum(WO.OrderQty) from Production.WorkOrder WO
where WO.DueDate = #ForDate
INSERT INTO #Sums (RemoveQTY,ADDQTY)
SELECT isnull(#SODSUM,0) + isnull(#WORSum,0) , isnull(#PODSum,0) + isnull(#WoSum,0)
RETURN;
END;
GO
select * from dbo.GetStockMovment ('2014-05-26 00:00:00.000')
Output:
RemoveQTY ADDQTY
189.0000000 5334.0000000
You should use LAG or LEAD function.
https://learn.microsoft.com/en-us/sql/t-sql/functions/lead-transact-sql?view=sql-server-ver15
https://learn.microsoft.com/en-us/sql/t-sql/functions/lag-transact-sql?view=sql-server-ver15
I have a table with sample data
ProID ProNum TranDate
12 123 2017-12-12 08:04:00.000
12 140 2017-12-12 08:15:00.000
12 290 2017-12-12 09:15:00.000
13 100 2017-12-12 09:15:00.000
13 200 2017-12-12 10:59:00.000
12 50 2017-12-13 06:04:00.000
12 250 2017-12-13 08:00:00.000
I want to calculator and then pivot table, sample I want value in each time zone, I must calculator in each period hour, max[hourNext] - max[hourPre]
ProCode TranDate [05-06] [06-07] [07-08] [08-09] [09-10]
12 2017/12/12 0 0 140 150 0
12 2017/12/13 50 0 200 0 0
13 2017/12/12 0 0 0 100 100
I see ref as sql server pivot : group by with dynamic columns. But the problem of me as calculator max[hourNext] - max[hourPre]. If the previous time zone value does not exist, it automatically rollback the previous time zone value.
I have two tables Master table and the Matched Master Table based on the same saldate , saltime , lctid ,masid the counts has to be pulled up
For count(masid,saldate,saltime,lctid)>1 , for masid 121 in master table there are 5 records in Master Matched 3 records, I need to get the output which are not in Mactched and how much in Master and the total amount with the masid
Master
ID Saldate SalTime lctid masid Sal_amt
101 1/1/2000 100 120 121 15
102 1/1/2000 100 120 121 25
103 1/1/2000 100 120 121 100
118 1/1/2001 120 118 201 25
119 1/1/2009 302 222 187 60
104 1/1/2000 100 120 121 125
108 1/1/2000 100 120 121 22
Master matched
ID Saldate SalTime lctid masid Sal_Amt
101 1/1/2000 100 120 121 15
102 1/1/2000 100 120 121 25
118 1/1/2001 120 118 201 25
119 1/1/2009 302 222 187 60
OP1-Master OP2-Master matched
Masid Count(iD) SalAMt Masid Count(iD) Sal_Amt
121 3 247 121 2 40
I've sifted through the various sql-server tagged threads using AVERAGE and Cumulative as search terms. Various desperate answers, but I can't cobble them together for my needs. The use case is to find the initial average value (cumulative value/cumulative days on) for a time period when cumulative days on is greater than 60 and less than 90.
Below is a table where ID identifies the object, VALUE is the amount reported on a monthly basis and DAYSON is the number of days in that month where the object ran to produce the value. YEARMONTH is date value on which on can sort.
ID VALUE DASYON YEARMONTH
1 166 27 201502
1 1 2 201505
1 569 19 201507
1 312 19 201508
2 364 27 201502
2 328 31 201503
2 242 29 201504
2 273 31 201505
2 174 30 201506
2 188 25 201507
2 203 25 201508
3 474 28 201502
3 521 31 201503
3 465 30 201504
3 473 31 201505
3 434 30 201506
3 404 31 201507
I would like to create a summary table that averages the cumulative value divided by the cumulative days uniquely for each ID where cumulative days is greater than 60 and less than 90. Below is a table that with the cumulative values. (I generated this in Excel)
ID VALUE cumValue DASYON cumDaysOn YEARMONTH
1 166 166 27 27 201502
1 1 167 2 29 201505
1 569 736 19 48 201507
1 312 1048 19 67 201508
2 364 364 27 27 201502
2 328 692 31 58 201503
2 242 934 29 87 201504
2 273 1207 31 118 201505
2 174 1381 30 148 201506
2 188 1569 25 173 201507
2 203 1772 25 198 201508
3 474 474 28 28 201502
3 521 505 31 59 201503
3 465 535 30 89 201504
3 473 566 31 120 201505
3 434 596 30 150 201506
3 404 627 31 181 201507
I try this based on other threads:
SELECT
ID,
Value,
SUM(Value) OVER (ORDER BY ID, YearMonth) [cumValue],
DaysOn,
SUM (DaysOn) OVER (Order by ID, YearMonth) as cumDaysOn,
YearMonth
FROM table
WHERE DAYSON > 0 and Liquid > 0 and YearMonth > 201501
GROUP BY ID, YearMonth, Value, DaysOn
ORDER BY ID, yearmonth
I can't get it to iterate over the ID; it just keeps summing down the column. If I could create a table or view like the one above, then I could always use a select statement and divide cumvalue by cumdayson.
Below is a table to show where I would get the initial average value (InititalAverageValue) based on the criteria:
ID VALUE cumValue DASYON cumDaysOn YEARMONTH InitalAvgValue
1 166 166 27 27 201502
1 1 167 2 29 201505
1 569 736 19 48 201507
1 312 1048 19 67 201508 55
2 364 364 27 27 201502
2 328 692 31 58 201503
2 242 934 29 87 201504 32
2 273 1207 31 118 201505
2 174 1381 30 148 201506
2 188 1569 25 173 201507
2 203 1772 25 198 201508
3 474 474 28 28 201502
3 521 505 31 59 201503
3 465 535 30 89 201504 18
3 473 566 31 120 201505
3 434 596 30 150 201506
3 404 627 31 181 201507
Ultimately what I desire is table as such:
ID InitalAvgValue
1 55
2 32
3 18
Thanks in advance for any help.
The crux is that you need a running total. There are several approaches to calculating running totals, but they have various tradeoffs between simplicity and performance. The "best" approach depends on the expected size of your data set and whether you are using SQL Server 2012 or an earlier version. The following article describes some different options along with the pros and cons:
http://sqlperformance.com/2012/07/t-sql-queries/running-totals
Here's a quick example using correlated subqueries, which may be reasonable for small data sets, but likely would not scale well to larger data:
SELECT
ID,
ROUND(AVG(CAST(CumulativeValue AS FLOAT) / CAST(CumulativeDaysOn AS FLOAT)), 1) AS Average
FROM
(
SELECT
ID,
Value,
DaysOn,
(SELECT SUM(Value) FROM ExampleTable t2 WHERE t1.ID = t2.ID and t2.YearMonth <= t1.YearMonth) AS CumulativeValue,
(SELECT SUM(DaysOn) FROM ExampleTable t2 WHERE t1.ID = t2.ID and t2.YearMonth <= t1.YearMonth) AS CumulativeDaysOn
FROM
ExampleTable t1
) AS ExampleWithTotals
WHERE
CumulativeDaysOn > 60 AND CumulativeDaysOn < 90
GROUP BY
ID
ORDER BY
ID
;
Output:
ID Average
1 15.6
2 10.7
3 16.4
i have a table which has sales at day level
sales_day
loc_id day_id sales
124 2013-01-01 100
124 2013-01-02 120
124 2013-01-03 140
124 2013-01-04 160
124 2013-01-05 180
124 2013-01-06 200
124 2013-01-07 220
there is weekly table which is the aggregate of all the days
loc_id week_id sales
123 201401 1120
Now i need all of the above in table as below
loc_id day_id sales week_sales
124 2013-01-01 100 1120
124 2013-01-02 120 1120
124 2013-01-03 140 1120
124 2013-01-04 160 1120
124 2013-01-05 180 1120
124 2013-01-06 200 1120
124 2013-01-07 220 1120
there are so many loactions and so many weeks,days.
How to get the data exactly without cross join.
Have you tried this:
select loc_id, day_id, sales, week_sales
from table
cross join (
select sum(sales) as week_sales from table
) t
Window analytical function should help you here...
select loc_id,
day_id,
sales,
sum(sales) over(partition by loc_id,date_part('week', day_id)) as week_total_sales
from <table name>
It will sum the sales by location id and the week of the year to give you the total you are looking for.
In your example, 2013-01-07 was included with the other dates, but it isn't actually part of the same calendar week.
It wasn't clear which DBMS you were referring to. The above is for Netezza. For SQL Server etc try changing date_part('week',day_id) to datepart(ww,day_id).