I'm on T-SQL 2014 and try to order products by their price. Now here is the problem: the price is a calculated field. Eg. I have created a function which evaluates a number of pricing rules (maybe about 4 tables with each about 4,000,000 records combined with JOINs to fit to the current login) and returns the users price for the product. While this is OK if I just want to return the price for a limited number of products it is way to slow if I want to sort by this.
I was thinking about having an additional table like UserProductPrice which will get calculated in the background but this will obviously not always have the correct price in it as the rules etc. could change in between the calculation.
Any suggestion on how I could sort by the price would be most appreciated.
You could use the ROW_NUMBER() function and place this into a temp table:
SELECT
Product,
dbo.ufnPrice(Price) as Price,
ROW_NUMBER() OVER (PARTITION BY Product ORDER BY dbo.ufnPrice(Price) DESC) AS Ranking
INTO #Products
FROM dbo.Products
SELECT
Product,
Price,
FROM #Products
WHERE Ranking = 1
DROP TABLE #Products
Should give you what you need.
Related
I have a table that updates all the time.
The table maintains a list that links stores to clubs, and manages, among other things, "discount percentages" per store + club.
Table name: Policy_supplier
Column: POLXSUP_DISCOUNT
Suppose all the "vendors" in the table are marked with a 10% discount.
And someone accidentally signs one vendor with 8% or 15% (or even NULL)
How do I generate a query to retrieve the "abnormal" vendor?
You can find the mode of your discounts and then just pick out the records that aren't equal to that mode:
WITH mode_discount AS (SELECT TOP 1 POLXSUP_DISCOUNT FROM table GROUP BY POLXSUP_DISCOUNT ORDER BY count(*) DESC)
SELECT * FROM table WHERE POLXSUP_DISCOUNT <> (SELECT POLSXUP_DISCOUNT FROM mode_discount);
You can use the OVER clause with aggregates to calculate an aggregate over a data range and include it in the results. For example,
SELECT avg(POLXSUP_DISCOUNT)
from Policy_supplier
Would return a single average value while
SELECT POLXSUP_DISCOUNT, avg(POLXSUP_DISCOUNT) OVER()
from Policy_supplier
Would return the overall average in each row. Typically OVER is used with a PARTITION BY clause. If you wanted the average per supplier you could have written AVG() OVER(PARTITION BY supplierID).
To find anomalies, you should use one of the PERCENTILE functions, eg PERCENTILE_CONT. For example
select PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY POLXSUP_DISCOUNT) over()
from Policy_Supplier
Will return a discount value below which you'll find 95% of the records. The other 5% of discounts that are above this are probably anomalies.
Similarly, PERCENTILE_CONT(0.05) will return a discount below which you'll find 5% of the records
You can combine both to find potentially exceptional records, eg:
with percentiles as (
select ID,
POLXSUP_DISCOUNT,
PERCENTILE_CONT(0.95) WITHIN GROUP (ORDER BY POLXSUP_DISCOUNT) over() as pct95,
PERCENTILE_CONT(0.05) WITHIN GROUP (ORDER BY POLXSUP_DISCOUNT) over() as pct05,
from Policy_Supplier)
select ID,POLXSUP_DISCOUNT
from percentiles
where POLXSUP_DISCOUNT>pct95 or POLXSUP_DISCOUNT<pct05
I've two tables
income
expense
the problem is I want to query all the data from both tables
SELECT income.date AS IN_DATE, expense.date AS EX_DATE FROM income, expense
I get weird result data is double times from db as you can see
you can try this out HERE
how can I get distinct results not double and at last wanna ask don't have idea of getting data from both tables and sort by date descending.
My guess is that you want union all:
select 'income' as which, id, title, date
from income
union all
select 'expense' as which, id, title, date
from expense;
This will give you a result set containing the rows from the two tables, with an identifier of which table each row comes from.
You can order by date and do other manipulations if you use a subquery:
select ie.*
from (select 'income' as which, id, title, date
from income
union all
select 'expense' as which, id, title, date
from expense
) ie
order by date desc;
Your simple SELECT does a cross product with the two columns (IN_DATE, EX_DATE). Hence, you get every possible combination of the values from both columns. INNER JOIN income ON expense.id=income.id or WHERE income.id == expense.id should do the trick.
You need to match the same ids, else SQL will just output any possible combination.
SELECT income.date AS IN_DATE, expense.date AS EX_DATE FROM income, expense WHERE income.id LIKE expense.id
I have the purchase entry in one table #temp1 and sales history in another table #temp2 for multiple stores. There might be no sales, no purchase, or both/either of them in a day. I need to build a graph of daily stock.
Basically, I am stuck in the query part. For first part I need to combine both tables to view the data together...
Secondly, I need to find the cumulative values for the stock ; something like ...
After I get I need to plot it finally... help out !!! QUERY MASTER !!!
If you start out by using a Union something like:
SELECT Store, Date, Purchase, 0 Sales FROM #temp1
UNION ALL
SELECT Store, Date, 0, Sales FROM #temp2
You have all the data in one table/view. From there, you can get things consolidated by
SELECT
Store, Date,
Sum(Purchase) Purchase,
Sum(Sales) Sales,
Sum(Purchase) - Sum(Sales) InStock
GROUP BY
Store, Date
That will give you a view with the Store, Date, Purchases, Sales and In Stock in one row. If you work things via query rather than temp tables, you can easily use the final view to feed SSRS and draw your graph.
Hope that helps.
Yes, the hint by #mark worked...
select store,date,ISNULL(purchase,0) as purchase,0 as sales
into #tbl
from temp1
union all
select store,date,0 as purchase,ISNULL(sales,0) as sales from temp2
select store,sum(purchase) as PUR,sum(sales) as SAL,sum(purchase-sales) as STOCK from #tbl
group by store,date
order by storename
drop table #tbl
And, the empty dates in between are automatically managed by the SSRS reporting tool.
But, the cumulative sums are not able to solve till now...
I'm using a SQL Server 2008R2 Database and SSRS Report Builder 3.0
Trying to compute the sum of the amount owed for each order id (need to show the itemids)...but when I do, the amount owed is showing 400 (instead of 200 - line 4, 100 instead of 50 in line 7, line 9 is correct. As a result the Total line is way off)
=Sum(Fields!owe.Value)
The report is grouped by the campus.
I understand that ssrs is probably not the best place to do this computation but I don't know how to do outside of ssrs....I tried distinct and group by so far with no results.
Below is how I need the report to show like....
Thanks in advance.
Incorrect amounts are
Another example as it should display the subtotals
I would modify the SQL to produce an extra column just for purposes of summing the Owe on an OrderId. Use the Row Number to get the first item in each order, and only supply the Owe value for that item for each order:
WITH cte AS (
SELECT *,
ROW_NUMBER() OVER (PARTITION BY OrderId ORDER BY ItemId) AS rn
FROM MyTable
WHERE (whatever filters you use)
)
SELECT *,
CASE WHEN rn=1 THEN Owe ELSE 0 END AS OrderOwe
FROM cte
ORDER BY Campus, CustomerId, OrderId, ItemId
Then simply change the expression for the "Owe" textbox in your SubTotal row to this:
=Sum(Fields!OrderOwe.Value)
And you will get the sum of the Owe per order instead of per item.
Well if your owe is always the same for each item in the group you could add a Sum/Count of the item in the group which would give you the correct results in all the cases above.
I'm looking to create a 3 column VAT_Parameter table with the following columns:
VATID, VATRate, EffectiveDate
However, I can't get my head around how I would identify which vat rate applies to an invoice date.
for example if the table was populated with:
1, 17.5, 1/4/1991
2, 15, 1/1/2009
3, 20, 4/1/2011
Say for example I have an invoice dated 4/5/2010, how would an SQL query select the correct VAT rate for that date?
select top 1 *
from VatRate
where EffectiveDate<=#InvoiceDate
order by EffectiveDate desc
Or, with a table of invoices
select id, invoicedate, rate
from
(
select
inv.id, inv.invoicedate, vatrate.rate, ROW_NUMBER() over (partition by inv.id order by vatrate.effectivedate desc) rn
from inv
inner join vatrate
on inv.invoicedate>=vatrate.effectivedate
) v
where rn = 1
PS. The rules for the rate of VAT to be charged when the rate changes are more complicated than just the invoice date. For example, the date of supply also matters.
I've run into this kind of thing before. There are two choices I can think of:
1. Expand the table to have two dates: EffectiveFrom and EffectiveTo. (You'll have to have a convention about whether each of these is exclusive or inclusive - but that's always a problem when using dates). This raises the problem of validating that the table population, as a whole, makes sense. e.g. that you don't end up with one row with Rate1 effective from 1/1/2000-1/1/2002, and another (overlapping) with Rate2 effective from 30/10/2001-1/1/2003. Or an uncovered gap in time, where no rate applies. Since this sounds like a very slowly-changing table, populated occasionally (by people who know what they're doing?), this could be the best solution. The SQL to get the effective rate would then be simple:
SELECT VATRate FROM VATTable WHERE (EffectiveFrom<=[YourInvoiceDate]) AND (EffectiveTo>=[YourInvoiceDate])
or
2. Use your existing table structure, and use some slightly more complicated SQL to determine the effective rate for an invoice.
Using your existing structure, something like this would work:
SELECT VATTAble.VATRate FROM
VATTable
INNER JOIN
(SELECT Max(EffectiveDate) AS LatestDate FROM VATTable WHERE EffectiveDate<=
YourInvoiceDate) latest
ON VATTable.EffectiveDate=latest.LatestDate
An easier option may just be to denormalise your data structure and store the VAT rate in the invoice table itself.