I need to make a report for weekly changes.
This is the code for todays amount
SELECT
[Entry No_],
[Customer No_],
[Posting Date],
[Description],
[Currency Code],
Trans_type = case when [Deposit]=1 then 'Deposit'
when [Imprest]=1 then 'Imprest'
else 'Other' end,
A.Amount
FROM Table1
LEFT JOIN
(
SELECT Distinct [Cust_ Ledger Entry No_],
SUM ([Amount EUR]) as 'amount'
FROM Table2
group by [Cust_ Ledger Entry No_]
having
SUM ([Amount EUR]) <> '0'
)A
on [Entry No_] = A.[Cust_ Ledger Entry No_]
Where
A.Amount is not NULL
Code to generate data for previous week is here (adding only where clause):
SELECT
[Entry No_],
[Customer No_],
[Posting Date],
[Description],
[Currency Code],
Trans_type = case when [Deposit]=1 then 'Deposit'
when [Imprest]=1 then 'Imprest'
else 'Other' end,
A.Amount
FROM Table1
LEFT JOIN
(
SELECT Distinct [Cust_ Ledger Entry No_],
SUM ([Amount EUR]) as 'amount'
FROM Table2
where [posting Date] < '2020-11-23'
group by [Cust_ Ledger Entry No_]
having
SUM ([Amount EUR]) <> '0'
)A
on [Entry No_] = A.[Cust_ Ledger Entry No_]
Where
A.Amount is not NULL
It would be enough to union both queries and then export to Excel and make pivot, but problem is that I need results of last 50 weeks. Is there any smart way to avoid union 50 tables and run one simple code to generate weekly report?
Thanks
it might be easier with sample, but I don't know how to paste table here..
Maybe it is true, i dont need union here, and group by would be enough, but it stills sounds difficult for me :)
Ok. Lets say table has such headers: Project | Country | date | amount
The code below returns amount for todays date
Select
Project,
SUM(amount)
From Table
Group by Project
I actually need todays date and also the results of previous weeks (What was the result on November 22 (week 47), November 15 (week 46) and so on.. total 50 weeks from todays date).
Code for previous week amount is here:
Select
Project,
SUM(amount)
From Table
Where Date < '2020.11.23'
Group by Project
So my idea was to create create 50 codes and join the results together, but i am sure it is a better way to do this. Besides i dont want to edit this query every week and add a new date for it.
So any ideas, to make my life easier?
if I have understood your requirement correctly, all you need to do is extract the week from the date e.g.
Select
Project,
datepart(week, date),
SUM(amount)
From Table
Where Date < '2020.11.23'
Group by Project, datepart(week, date)
Related
I am trying to select the max date over the year, but it is not working. Any ideas on what to do?
SELECT a.tkinit [TK ID],
YEAR(a.tkeffdate) [Rate Year],
max(a.tkeffdate) [Max Date],
tkrt03 [Standard Rate]
FROM stageElite.dbo.timerate a
join stageElite.dbo.timekeep b ON b.tkinit = a.tkinit
WHERE a.tkinit = '02672'
and tkeffdate BETWEEN '2014-01-01' and '12-31-2014'
GROUP BY a.tkinit,
tkrt03,
a.tkeffdate
Perhaps you only want it by year and not rolled up by calendar date. For SQL server you can try this.
SELECT
…
MaxDate = MAX(a.tkeffdate) OVER (PARTITION BY a.tkinit, YEAR(a.tkeffdate)))
…
Or you could modify the query above to group by the year instead of date-->
GROUP BY a.tkinit,
tkrt03,
YEAR(a.tkeffdate)
You seem to want only one row and all the columns. Use ORDER BY and TOP:
SELECT TOP (1) tr.tkinit as [TK ID],
YEAR(tr.tkeffdate) as [Rate Year],
a.tkeffdate as [Max Date],
tkrt03 as [Standard Rate]
FROM stageElite.dbo.timerate tr JOIN
stageElite.dbo.timekeep tk
ON tk.tkinit = tr.tkinit
WHERE tr.tkinit = '02672' AND
tr.tkeffdate >= '2014-01-01' AND
tr.tkeffdate < '2015-01-01'
ORDER tr.tkeffdate DESC;
Note that I also fixed your date comparisons and table aliases.
I am running SQL Server 2008 R2 (RTM).
I have a SQL query that pulls Dates, Products, Customers and Units:
select
[Transaction Date] as Date,
[SKU] as Product,
[Customer Name] as Customer,
sum(Qty) as Units
from dataset
where [Transaction Date] < '2019-03-01' and [Transaction Date] >= '2016-01-01'
group by [Transaction Date], [SKU], [Customer Name]
order by [Transaction Date]
This pulls hundreds of thousands of records and I wanted to determine if a certain transaction was a new order or reorder based on the following logic:
Reorder: That specific Customer has ordered that specific product in the last 6 months
New Order: That specific Customer hasn’t ordered that specific product in the last 6 months
For that I have this formula in Excel that seems to be working:
=IF(COUNTIFS(A$1:A1,">="&DATE(YEAR(A2),MONTH(A2)-6,DAY(A2)),C$1:C1,C2,B$1:B1,B2),"Reorder","New Order")
The formula works when I paste it individually or in a smaller dataset, but when I try to copy paste it to all 500K+ rows, Excel gives up because it loops for each calculation.
This could probably be done in SQL, but I don’t have the knowledge on how to convert this excel formula to SQL, I just started studying it.
You're doing pretty well with the start of your query there. There are three additional functions you're looking to add to your query.
The first thing you'll need is the easiest. GETDATE() simply returns the current date. You'll need that when you're comparing the current date to the transaction date.
The second function is DATEDIFF, which will give you a unit of time between two dates (months, days, years, quarters, etc). Using DATEDIFF, you can say "is this date within the last 6 months". The format for this is pretty easy. It's DATEDIFF(interval, date1, date2).
The thrid function you're looking for is CASE, which allows you to tell SQL to give you one answer if one condition is met, but a different answer if a different condition is met. For your example, you can say "if the difference in days is < 60, return 'Reorder', if not give me 'New Order'".
Putting it all together:
SELECT CASE
WHEN DATEDIFF(MONTH, [Transaction Date], GETDATE()) <= 6
THEN 'Reorder'
ELSE 'New Order'
END as ORDER_TYPE
,[Transaction Date] AS DATE
,[SKU] AS PRODUCT
,[Customer Name] AS CUSTOMER
,Qty AS UNITS
FROM DATASET
For additonal examples on CASE, take a look at this site: https://www.w3schools.com/sql/sql_ref_case.asp
For additional examples on DATEDIFF, take a look here: See the
following webpage for examples and a chance to try it out:
https://www.w3schools.com/sql/func_sqlserver_datediff.asp
SELECT CASE
WHEN Datediff(day, [transaction date], Getdate()) <= 180 THEN 'reorder'
ELSE 'Neworder'
END,
[transaction date] AS Date,
[sku] AS Product,
[customer name] AS Customer,
qty AS Units
FROM datase
If I understand correctly, you want to peak at the previous date and make a comparison. This suggests lag():
select (case when lag([Transaction Date]) over (partition by SKU, [Customer Name] order by [Transaction Date]) >
dateadd(month, -6, [Transaction Date])
then 'Reorder'
else 'New Order'
end) as Order_Type
[Transaction Date] as Date,
[SKU] as Product,
[Customer Name] as Customer,
sum(Qty) as Units
from dataset d
group by [Transaction Date], [SKU], [Customer Name];
EDIT:
In SQL Server 2008, you can emulate the LAG() using OUTER APPLY:
select (case when dprev.[Transaction Date] >
dateadd(month, -6, d.[Transaction Date])
then 'Reorder'
else 'New Order'
end) as Order_Type
d.[Transaction Date] as Date,
d.[SKU] as Product,
d.[Customer Name] as Customer,
sum(d.Qty) as Units
from dataset d outer apply
(select top (1) dprev.*
from dataset dprev
where dprev.SKU = d.SKU and
dprev.[Customer Name] = d.[Customer Name] and
dprev.[Transaction Date] < d.[Transaction Date]
order by dprev.[Transaction Date] desc
) dprev
group by d.[Transaction Date], d.[SKU], d.[Customer Name];
I have following table with following relevant columns-
Invoices-
Invoice Number | Invoice Date | Invoice Status
Invoice status can have values : PENDING, SENT, COURIER, LR, CANCELLED, DONE
I want to order the records in this table such that,
Invoices older than 2 days but not having status CANCELLED and DONE should appear first
then
Invoices newer then 2 days but not having status CANCELLED and DONE should appear first
then
All invoices having CANCELLED or DONE should be last on the list
How to achieve this in SQL.
I am using SQL server and writing stored procedure is something I am not keen to do it.
Ideally it should be single SQL statement.
What would be the solution for this problem?
You do this using expressions in the order by:
select i.
from invoices i
order by (case when invoicedate < dateadd(day, -2, getdate()) and
status not in ('Cancelled', 'Done')
then 1
when status not in ('Cancelled', 'Done')
then 2
then 3
end);
A stored procedure is not necessary for this (nor in my opinion is it desirable).
Please try the following...
SELECT [Invoice Number],
[Invoice Date],
[Invoice Status]
FROM Invoices
WHERE [Invoice Status] NOT IN ( 'CANCELLED', 'DONE' )
AND DATEADD( DAY, -2, GETDATE() ) > [Invoice Date]
UNION
SELECT [Invoice Number],
[Invoice Date],
[Invoice Status]
FROM Invoices
WHERE [Invoice Status] NOT IN ( 'CANCELLED', 'DONE' )
AND DATEADD( DAY, -2, GETDATE() ) <= [Invoice Date]
UNION
SELECT [Invoice Number],
[Invoice Date],
[Invoice Status]
FROM Invoices
WHERE [Invoice Status] IN ( 'CANCELLED', 'DONE' );
In each of by SELECT statements I have chosen to show all the fields and in the same order. Note that the corresponding fields in the SELECT statements making up a UNION should always be of the same type. In some situations a field of one type may be converted to match another, but this can sometimes lead to troubles and it is strongly recommended that you try to avoid such situations.
In my first statement I compare the date two days before the current date to the [Invoice Date] and if it is greater (i.e the Invoice is older than 2 days) then the row is included (subject to its [Invoice Status]).
For the second statement I choose invoices where the date is no more than two days before the current one.
For the third statement I show all Invoices where the status is either CANCELLED or DONE.
You can specify sorts, groupings, etc. of similar or different patterns within each list, but since you have not specified any such in your Question I have not attempted to implement them.
If you have any questions or comments, then please feel free to post a Comment accordingly.
Good day,
I have an SQL code that return to me all quantities that I received over time, but I want to display only the latest one
SELECT * FROM
(SELECT DISTINCT
[dbo].[ttcibd001110].[t_cmnf] AS [Manufacturer],
[dbo].[ttcibd001110].[t_item] AS [Item code],
[dbo].[ttcibd001110].[t_dsca] AS [Description],
[dbo].[ttcibd001110].[t_seak] AS [Search key 1],
[dbo].[twhinr110110].[t_trdt] AS [Transaction date],
[dbo].[twhinr110110].[t_cwar] AS [Warehouse],
[dbo].[twhinr110110].[t_qstk] AS [Quantity Inventory Unit]
FROM [dbo].[twhinr110110] LEFT JOIN [dbo].[ttcibd001110]
ON [dbo].[twhinr110110].[t_item]=[dbo].[ttcibd001110].[t_item]
WHERE [dbo].[twhinr110110].[t_koor]='2' AND [dbo].[ttcibd001110].[t_cmnf]='ManufacturerX') AS tabel
WHERE ltrim(tabel.[Item code])='1000045'
Now, from this selection I want to select only the line with the latest Transaction date, but I am stuck.
Can somebody help me in this way?
Thank you!
Change your beginning to
SELECT TOP 1
and after where use
ORDER BY [Transaction date] DESC
I have used DATEDIFF to distinguish between when the first unit rate was created and the posting date is when the first transaction of that item was posted.
I have the result that I need , however the DateDiff function gives me NULL values starting date for some rows.
SELECT DISTINCT b.[Entry No_] ,
a.[Starting Date],
b.[Posting Date],
b.[Item No_],
b.[Invoiced Quantity],
a.[Litre Conversion Factor],
a.[Unit Rate] ,
b.[Location Code],
a.[Excise Location],
a.[Excise Type Code],
a.[Unit Of Measure Code]
FROM [Spier Live$Value Entry] b
LEFT JOIN [Transfer Excise Tbl] a
ON a.[No_] = b.[Item No_]
AND b.[Location Code] = a.[Location Code]
AND DateDiff(y,b.[Posting Date],a.[Starting Date]) > -365 --DateDiff Year -365 for starting date
AND DateDiff(y,b.[Posting Date],a.[Starting Date]) < 0 --DateDiff Yer < 0 for posting date
WHERE b.[Posting Date] > '2013-02-26' --This is when the unit rate was entered
AND b.[Gen_ Bus_ Posting Group] IN ('LOCA','EXSA')
AND b.[Invoiced Quantity] <>0 --Removing all zero values
AND b.[Item No_] = 'F00335'
ORDER BY b.[Posting Date]
My Result
Transfer Excise Tbl This is the table I am joining on
As alex points out in the comments, you're looking for things with datediffs based on day of year, not year. Did you mean <= 0, btw? These criteria don't make sense and so probably aren't what you really want. If so, they'd cause joins to fail where you don't really want them to, leading to nulls showing for table a columns.