Linq to sql, aggregate columns ,group by date into listview - sql

Okay so I have a listview control with 3 columns:
Year | NetTotal | GrossTotal
also i have a table called Orders with several columns, they contain information about the order and store the ID of the Customer they belong to.
Question is: how can i query that table with (preferably) linq (the datacontext is from LinqToSql) to return the following data?
I want to search for any entry with the matching CustomerID which took place, group them by Year, Sum the Totals respectively and add them to the listview?
I now i could use lamda expressions and aggregate, its just not clear how (option infer on,db is a datacontext object,CustomerID is an int32 variable):
Dim Orders = (From order In db.Orders Where order.CustomerID = CustomerID).GroupBy(Function(p) p.Date.Year).GetEnumerator
I reckon i'd have to create an anonymous type like the following:
Dim tmpYears = From prevs In db.Orders Select New With {.CustID = prevs.CustomerID, .Year = prevs.PaymentDate.Year, .NetPurchase, .GrossPurchase}
But how do I aggregate the Purchased column in a group?
Dim CustomerOrders = From ord In db.Orders Where Ord.CustomerID = custID Select ord
Dim tot = From O in CustomerOrders Select Aggregate netTot In O Into Sum(netTot.Price * netTot.Quantity * 1+ (netTot.Discount/100))
I want to merge the two.
Any suggestions? (I've read this but i want it in Linq because its a team project and we agreed on using Linq instead of sending .ExecuteQuerys and etc to the db.Also its a LinqToSQL solution so would be better if i could make some use of it)

I can't guarantee I understand your requirements exactly, but long story short it seems you want to display orders, grouped by year, with the aggregated sums for net/gross value, where the orders match a provided CustomerID?
Sorry if the syntax is slightly out but I'm doing this freehand...
Dim results = db.Orders.Where(Function(n) n.CustomerId = customerId).GroupBy(Function(n) n.Date.Year, Function(key, values) New With {.Year = key, .NetTotal = values.Sum(Function(n) n.NetPurchase * n.Quantity * (1 + (n.Discount/100))), .GrossTotal = values.Sum(Function(n) n.GrossPurchase)})
This should provide you an anonymous type with Year, NetTotal, and GrossTotal populated as per the requirements I listed.
EDIT: Also apologies for the one liner but I'm sure you can reformat it to taste.

Related

SQL - join three tables based on (different) latest dates in two of them

Using Oracle SQL Developer, I have three tables with some common data that I need to join.
Appreciate any help on this!
Please refer to https://i.stack.imgur.com/f37Jh.png for the input and desired output (table formatting doesn't work on all tables).
These tables are made up in order to anonymize them, and in reality contain other data with millions of entries, but you could think of them as representing:
Product = Main product categories in a grocery store.
Subproduct = Subcategory products to the above. Each time the table is updated, the main product category may loses or get some new suproducts assigned to it. E.g. you can see that from May to June the Pulled pork entered while the Fishsoup was thrown out.
Issues = Status of the products, for example an apple is bad if it has brown spots on it..
What I need to find is: for each P_NAME, find the latest updated set of subproducts (SP_ID and SP_NAME), and append that information with the latest updated issue status (STATUS_FLAG).
Please note that each main product category gets its set of subproducts updated at individual occasions i.e. 1234 and 5678 might be "latest updated" on different dates.
I have tried multiple queries but failed each time. I am using combos of SELECT, LEFT OUTER JOIN, JOIN, MAX and GROUP BY.
Latest attempt, which gives me the combo of the first two tables, but missing the third:
SELECT
PRODUCT.P_NAME,
SUBPRODUCT.SP_PRODUCT_ID, SUBPRODUCT.SP_NAME, SUBPRODUCT.SP_ID, SUPPRODUCT.SP_VALUE_DATE
FROM SUBPRODUCT
LEFT OUTER JOIN PRODUCT ON PRODUCT.P_ID = SUBPRODUCT.SP_PRODUCT_ID
JOIN(SELECT SP_PRODUCT_ID, MAX(SP_VALUE_DATE) AS latestdate FROM SUBPRODUCT GROUP BY SP_PRODUCT_ID) sub ON
sub.SP_PRODUCT_ID = SUBPRODUCT.SP_PRODUCT_ID AND sub.latestDate = SUBPRODUCT.SP_VALUE_DATE;
Trying to find a row with a max value is a common SQL pattern - you can do it with a join, like your example, but it's usually more clear to use a subquery or a window function.
Correlated subquery example
select
PRODUCT.P_NAME,
SUBPRODUCT.SP_PRODUCT_ID, SUBPRODUCT.SP_NAME, SUBPRODUCT.SP_ID, SUPPRODUCT.SP_VALUE_DATE,
ISSUES.STATUS_FLAG, ISSUES.STATUS_LAST_UPDATED
from PRODUCT
join SUBPRODUCT
on PRODUCT.P_ID = SUBPRODUCT.SP_PRODUCT_ID
and SUBPRODUCT.SP_VALUE_DATE = (select max(S2.SP_VALUE_DATE) as latestDate
from SUBPRODUCT S2
where S2.SP_PRODUCT_ID = SUBPRODUCT.SP_PRODUCT_ID)
join ISSUES
on ISSUES.ISSUE_ID = SUBPRODUCT.SP_ID
and ISSUES.STATUS_LAST_UPDATED = (select max(I2.STATUS_LAST_UPDATED) as latestDate
from ISSUES I2
where I2.ISSUE_ID = ISSUES.ISSUE_ID)
Window function / inline view example
select
PRODUCT.P_NAME,
S.SP_PRODUCT_ID, S.SP_NAME, S.SP_ID, S.SP_VALUE_DATE,
I.STATUS_FLAG, I.STATUS_LAST_UPDATED
from PRODUCT
join (select SUBPRODUCT.*,
max(SP_VALUE_DATE) over (partition by SP_PRODUCT_ID) as latestDate
from SUBPRODUCT) S
on PRODUCT.P_ID = S.SP_PRODUCT_ID
and S.SP_VALUE_DATE = S.latestDate
join (select ISSUES.*,
max(STATUS_LAST_UPDATED) over (partition by ISSUE_ID) as latestDate
from ISSUES) I
on I.ISSUE_ID = S.SP_ID
and I.STATUS_LAST_UPDATED = I.latestDate
This often performs a bit better, but window functions can be tricky to understand.

How to use SUM in this situation?

I have the following tables below and their schema:
INV
id, product code, name, ucost, tcost, desc, type, qoh
1,123,CPASS 700,1.00,5.00,CPASS 700 Lorem, COM,5
2,456,Shelf 5,2.00,6.00,Shelf 5 KJ, BR,3
GRP
id,type,desc
1,COM,COMPASS
2,BR,SHELF
Currently I have a query like this:
SELECT INV.*,GRP.DESCR AS CATEGORY
FROM INV LEFT JOIN GRP ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0
There is no problems with that query.
Right now,I want to know the SUM of the TCOST of every INV record where their QOH is 0.
In this situation, does that I mean all I have to do is to write a separate query like the one below:
SELECT SUM(TCOST)
FROM INV
WHERE QOH = 0
Does it make any sense for me to try and combine those two queries as one ?
First understand that SUM is the aggregate function hence either you can run the Query like
(SELECT SUM(TCOST) FROM INV WHERE QOH=0) as total
This will return Sum of TCOST in INV Table for mentioned condition.
Another approach is finding the Sum based on the some column (e.g. Type)
you could write query like
SELECT Type , SUM(TCOST) FROM INV WHERE QOH=0 GROUP BY type ;
Its not clear on what criteria you want to sum . But I think above two approaches would provide you fare idea .
Mmm, you could maybe use a correlated query, though i'm not sure it's the best approach since I'm not sure I understand what your attempting to do:
SELECT INV.*,
GRP.DESCR AS CATEGORY ,
(SELECT SUM(TCOST) FROM INV WHERE QOH=0) as your_sum
FROM INV LEFT JOIN GRP ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0
If you want only one value for the sum(), then your query is fine. If you want a new column with the sum, then use window functions:
SELECT INV.*, GRP.DESCR AS CATEGORY,
SUM(INV.TCOST) OVER () as sum_at_zero
FROM INV LEFT JOIN
GRP
ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0;
It does not make sense to combine the queries by adding a row to the first one, because the columns are very different. A SQL result set requires that all rows have the same columns.

Why is this SQL query wrong?

SELECT
CD.CountryID, CD.GrossLimit, CD.UnsecuredLimit,
SUM(LT1.Amount), SUM(LT1.Unsecured),
(100*SUM(LT1.Unsecured) / CD.UnsecuredLimit) as PercOverCountryLimit
FROM CountryDetail CD
INNER JOIN
(
SELECT CompanyName AS Company, CollateralSName as Collateral, SUM(Amount) AS Amount,
SUM(Usecured) AS Unsecured, LT.Date as Date, Max(CountryID) as CountryID
FROM Loanstotal LT
WHERE YearMonth = #YearMonth
GROUP BY CompanyName, CollateralSName, LT.Date
) LT1
GROUP BY CountryID, GrossLimit, UnsecuredLimit
ON CD.CountryID = LT1.CountryID
Well I see some possible problems right off
First your group by is in the incorrect place, it needs to be after the ON clause in the join not before it.
Possible issue with a typo: SUM(Usecured) should that be SUM(Unsecured)?
Next depending on what type of data is in the fields you are summing up, you may have a problem with integer math. An integer divided by an integer will give an integer result (3/2 = 1 for example) so you must convert one value to a numeric.
Other issues may be there depending on which version of SQL you are using, You need to specify which database backed to get the best answers. Mine are based on what SQL server would want.

Handling negative values with sql

I have a data set that lists the date and quantity of future stock of products. Occasionally our demand outstrips our future supply and we wind up with a negative future quantity. I need to factor that future negative quantity into previous supply so we don't compound the problem by overselling our supply.
In the following data set, I need to prepare for demand on 10-19 by applying the negative quantity up the chain until i'm left with a positive quantity:
"ID","SKU","DATE","SEASON","QUANTITY"
"1","001","2012-06-22","S12","1656"
"2","001","2012-07-13","F12","1986"
"3","001","2012-07-27","F12","-283"
"4","001","2012-08-17","F12","2718"
"5","001","2012-08-31","F12","-4019"
"6","001","2012-09-14","F12","7212"
"7","001","2012-09-21","F12","782"
"8","001","2012-09-28","F12","2073"
"9","001","2012-10-12","F12","1842"
"10","001","2012-10-19","F12","-12159"
I need to get it to this:
"ID","SKU","DATE","SEASON","QUANTITY"
"1","001","2012-06-22","S12","1656"
"2","001","2012-07-13","F12","152"
I have looked at using a while loop as well as an outer apply but cannot seem to find a way to do this yet. Any help would be much appreciated. This would need to work for sql server 2008 R2.
Here's another example:
"1","002","2012-07-13","S12","1980"
"2","002","2012-08-10","F12","-306"
"3","002","2012-09-07","F12","826"
Would become:
"1","002","2012-07-13","S12","1674"
"3","002","2012-09-07","F12","826"
You don't seem to get a lot of answers - so here's something if you won't get the right 'how-to do it in pure SQL'. Ignore this solution if there's anything SQLish - it's just a defensive coding, not elegant.
If you want to get a sum of all data with same season why deleting duplicate records - just get it outside, run a foreach loop, sum all data with same season value, update table with the right values and delete unnecessary entries. Here's one of the ways to do it (pseudocode):
productsArray = SELECT * FROM products
processed = array (associative)
foreach product in productsArray:
if product[season] not in processed:
processed[season] = product[quantity]
UPDATE products SET quantity = processed[season] WHERE id = product[id]
else:
processed[season] = processed[season] + product[quantity]
DELETE FROM products WHERE id = product[id]
Here is a CROSS APPLY - tested
SELECT b.ID,SKU,b.DATE,SEASON,QUANTITY
FROM (
SELECT SKU,SEASON, SUM(QUANTITY) AS QUANTITY
FROM T1
GROUP BY SKU,SEASON
) a
CROSS APPLY (
SELECT TOP 1 b.ID,b.Date FROM T1 b
WHERE a.SKU = b.SKU AND a.SEASON = b.SEASON
ORDER BY b.ID ASC
) b
ORDER BY ID ASC

NHibernate Return Values

I am currently working on a project using NHiberate as the DAL with .NET 2.0 and NHibernate 2.2.
Today I came to a point where I had to join a bunch of entities/collections to get what I want. That is fine.
What got me was that I do not want the query to return a list of objects of a certain entity type but rather the result would include various properties from different entities.
The following query is not what I am doing but it is kind of query that I am talking about here.
select order.id, sum(price.amount), count(item)
from Order as order
join order.lineItems as item
join item.product as product,
Catalog as catalog
join catalog.prices as price
where order.paid = false
and order.customer = :customer
and price.product = product
and catalog.effectiveDate < sysdate
and catalog.effectiveDate >= all (
select cat.effectiveDate
from Catalog as cat
where cat.effectiveDate < sysdate
)
group by order
having sum(price.amount) > :minAmount
order by sum(price.amount) desc
My question is, in this case what type result is supposed to be returned? It is certainly not of type Order, neither is of type LineItems.
Thanks for your help!
John
you can always use List of object[] for returning data and it will work fine.
This is called a projection, and it happens any time you specify an explicit select clause that contains rows from various tables (or even aggregate / summary data from a single table).
Using LINQ you can create anonymous objects to store these rows of data, like this:
var crunchies = (from foo in bar
where foo.baz == quux
select new { foo.corge, foo.grault }).ToList();
Then you can do crunchies[0].corge for example to pull out the rows & columns.
If you are using NHibernate.Linq this will "just work".
If you're using HQL or Criteria API, then what Fahad mentioned will work. You'll get a List<object[]> as a result, and the index of the array references the order of the columns that you returned in your select clause.