I am trying to display total of each stock with their description in a report. I have got 2 queries but do not know how to combine them. First query
SELECT
stock_partno, SUM(stock_qty) AS TotalStock
FROM
stock
GROUP BY
stock_partno;
Second query
SELECT DISTINCT
Stock.stock_PartNo, parts.parts_Desc
FROM
parts
INNER JOIN
stock
ON
parts.Parts_partno = Stock.stock_PartNo;
How do I combine both these queries so that they can display a report with total stock of each Part with their description?
To be able to select the parts_Desc column, add it to the GROUP BY clause. That will maintain the same grouping as in the first query (because each part number has just one description).
SELECT
SUM(stock.stock_qty) AS TotalStock,
Stock.stock_PartNo, parts.parts_Desc
FROM
parts
INNER JOIN
stock
ON
parts.Parts_partno = Stock.stock_PartNo;
GROUP BY
Stock.stock_partno, parts.parts_Desc;
Related
I'm in need of some assistance. I have search and not found what I'm looking for. I have an assigment for school that requires me to use SQL. I have a query that pulls some colunms from two tables:
SELECT Course.CourseNo, Course.CrHrs, Sections.Yr, Sections.Term, Sections.Location
FROM Course
INNER JOIN Sections ON Course.CourseNo = Sections.CourseNo
WHERE Sections.Term="spring";
I need to add a Totals row at the bottom to count the CourseNo and Sum the CrHrs. It has to be done through SQL query design as I need to paste the code. I know it can be done with the datasheet view but she will not accept that. Any advice?
To accomplish this, you can union your query together with an aggregation query. Its not clear from your question which columns you are trying to get "Totals" from, but here's an example of what I mean using your query and getting counts of each (kind of useless example - but you should be able to apply to what you are doing):
SELECT
[Course].[CourseNo]
, [Course].[CrHrs]
, [Sections].[Yr]
, [Sections].[Term]
, [Sections].[Location]
FROM
[Course]
INNER JOIN [Sections] ON [Course].[CourseNo] = [Sections].[CourseNo]
WHERE [Sections].[Term] = [spring]
UNION ALL
SELECT
"TOTALS"
, SUM([Course].[CrHrs])
, count([Sections].[Yr])
, Count([Sections].[Term])
, Count([Sections].[Location])
FROM
[Course]
INNER JOIN [Sections] ON [Course].[CourseNo] = [Sections].[CourseNo]
WHERE [Sections].[Term] = “spring”
You can prepare your "total" query separately, and then output both query results together with "UNION".
It might look like:
SELECT Course.CourseNo, Course.CrHrs, Sections.Yr, Sections.Term, Sections.Location
FROM Course
INNER JOIN Sections ON Course.CourseNo = Sections.CourseNo
WHERE Sections.Term="spring"
UNION
SELECT "Total", SUM(Course.CrHrs), SUM(Sections.Yr), SUM(Sections.Term), SUM(Sections.Location)
FROM Course
INNER JOIN Sections ON Course.CourseNo = Sections.CourseNo
WHERE Sections.Term="spring";
Whilst you can certainly union the aggregated totals query to the end of your original query, in my opinion this would be really bad practice and would be undesirable for any real-world application.
Consider that the resulting query could no longer be used for any meaningful analysis of the data: if displayed in a datagrid, the user would not be able to sort the data without the totals row being interspersed amongst the rest of the data; the user could no longer use the built-in Totals option to perform their own aggregate operation, and the insertion of a row only identifiable by the term totals could even conflict with other data within the set.
Instead, I would suggest displaying the totals within an entirely separate form control, using a separate query such as the following (based on your own example):
SELECT Count(Course.CourseNo) as Courses, Sum(Course.CrHrs) as Hours
FROM Course INNER JOIN Sections ON Course.CourseNo = Sections.CourseNo
WHERE Sections.Term = "spring";
However, since CrHrs are fields within your Course table and not within your Sections table, the above may yield multiples of the desired result, with the number of hours multiplied by the number of corresponding records in the Sections table.
If this is the case, the following may be more suitable:
SELECT Count(Course.CourseNo) as Courses, Sum(Course.CrHrs) as Hours
FROM
Course INNER JOIN
(SELECT DISTINCT s.CourseNo FROM Sections s WHERE s.Term = "spring") q
ON Course.CourseNo = q.CourseNo
There are 2 tables, there is an expected result, the result is to have the total cost of each engagement calculated, there are multiple tests taken during each engagement, each test ranges in cost (all set values), the expected result must be in terms of EngagementId, EngagementCost
The 2 tables, with there respective fields
- EngagementTest (EngagementId, TestId)
- Test (TestId, TestCost)
How would one go calculating the cost of each engagement.
This is as far as i managed to get
SELECT EngagementId, COUNT(TESTId)
FROM EngagementTest
GROUP BY EngagementId;
Try a SUM of the TestCost column rather than a COUNT. COUNT just tells you the number of rows. SUM adds up the values within the rows and gives you a total. Also your existing query doesn't actually use the table that contains the cost data. You can INNER JOIN the two tables via TestId and then GROUP BY the EngagementId so you get the sum of each engagement.
Something like this:
SELECT
ET.EngagementId,
SUM(T.TestCost)
FROM
EngagementTest ET
INNER JOIN Test T
ON T.TestId = ET.TestId
GROUP BY
ET.EngagementId
It can be achieved using below query.
SELECT i.EngagementId, SUM(TestCost)
FROM EngagementTest i
INNER JOIN Test t
ON e.TestId = t.TestId
GROUP BY i.EngagementId
I am trying to sum up one field and use it in another query, but when I use the Totals button and then call that sum from the other query it considers that field as multiple instances but with the sum value in each one. How can I sum two fields in two different queries and then use those sums in another query? Note - I only separated them into 3 queries because I felt it would help me avoid "is not part of an aggregate function" errors.
Example Data
Inventory Query: This query groups by item and sums the qty_on_hand field
Item SumOfqty_on_hand
A 300
Job Material query: This query groups on the job's materials and sums up the qty_req field (quantity required to complete the job)
Item SumOfqty_req
A 500
When I make a third query to do the calculation [SumOfqty_req]-[SumOfqty_on_hand] the query does the calculation but for each record in the Job Material query.
Job Material Query
SELECT dbo_jobmatl.item,
IIf(([qty_released]-[qty_complete])<0,0,([qty_released]-[qty_complete]))*[matl_qty] AS qty_req
FROM new_BENInventory
INNER JOIN (dbo_jobmatl
INNER JOIN new_BENJobs
ON (new_BENJobs.suffix = dbo_jobmatl.suffix)
AND (dbo_jobmatl.job = new_BENJobs.job)
) ON new_BENInventory.item = dbo_jobmatl.item
GROUP BY dbo_jobmatl.item,
IIf(([qty_released]-[qty_complete])<0,0,([qty_released]-[qty_complete]))*[matl_qty];
Inventory Query
SELECT dbo_ISW_LPItem.item,
Sum(dbo_ISW_LPItem.qty_on_hand) AS SumOfqty_on_hand,
dbo_ISW_LP.whse,
dbo_ISW_LPItem.hold_flag
FROM (dbo_ISW_LP INNER JOIN dbo_ISW_LPItem
ON dbo_ISW_LP.lp_num = dbo_ISW_LPItem.lp_num)
INNER JOIN dbo_ISW_LPLot
ON (dbo_ISW_LPItem.lp_num = dbo_ISW_LPLot.lp_num)
AND (dbo_ISW_LPItem.item = dbo_ISW_LPLot.item)
AND (dbo_ISW_LPItem.qty_on_hand = dbo_ISW_LPLot.qty_on_hand)
GROUP BY dbo_ISW_LPItem.item,
dbo_ISW_LP.whse,
dbo_ISW_LPItem.hold_flag
HAVING (((Sum(dbo_ISW_LPItem.qty_on_hand))>0)
AND ((dbo_ISW_LP.whse) Like "BEN")
AND ((dbo_ISW_LPItem.hold_flag) Like 0));
Third Query
SELECT new_BENJobItems.item,
[qty_req]-[SumOfqty_on_hand] AS [Transfer QTY]
FROM new_BENInventory
INNER JOIN new_BENJobItems
ON new_BENInventory.item = new_BENJobItems.item;
Please note that anything that starts with dbo_ is a prefix for a table that sources the original data.
If any more clarification is needed I would be more than happy to provide it.
Looks like you need a GROUP BY new_BENJobItems.item on your final query along with a SUM() on the quantity. Or to remove the IIf(([qty_released]-[qty_complete])<0,0,([qty_released]-[qty_complete]))*[matl_qty] from your Job Material query. Or both. As written, the Job Material Query is going to return a record for every different key value in the joined input tables that has a distinct quantity, which doesn't seem like the granularity you want for that.
I am trying to create a query that pulls two different aggregated values from three different tables during a specific date range. I am working in Access 2003.
I have:
tblPO which has the high level purchase order description (company name, shop order #, date of order, etc)
tblPODescription which has the dollar values of the individual line items from customers the purchase order
tblCostSheets which as a breakdown of the individual pieces that we need to manufacture to satisfy the customers purchase order.
I am looking to create a query that will allow me, based on the Shop Order #, to get both the sum of the dollar values from tblPODescriptions and the count of the different type of pieces we need to make from tblCostSheets.
A quick caveat: the purchase order may have 5 line items for a sum of say $1560 but it might take us making 8 or 9 different parts to satisfy those 5 line items. I can easily create a query that pulls either the sum or the count by themselves, but when I created my query with both, I end up with numbers that are multipled versions of what I want. I believe it is multiplying my piece counts and dollar values.
SELECT DISTINCTROW tblPO.CompanyName, tblPO.ShopOrderNo, tbl.OrderDate, Sum(tblPODescriptions.ItemAmount) AS SumOfItemAmount, Count(tblCostSheets.Description) AS CountOfDescription
FROM (tblPO INNER JOIN tblPODescriptions ON (tblPO.CompanyName = tblPODescriptions.CompanyName) AND (tblPO.PurchaseOrderNo = tblPODescriptions.PurchaseOrderNo) AND (tblPO.PODate = tblPODescriptions.PODate)) INNER JOIN tblCostSheets ON tblPO.ShopOrderNo = tblCostSheets.ShopOrderNo
GROUP BY tblPO.CompanyName, tblPO.ShopOrderNo, tblPO.OrderDate
HAVING (((tblPO.OrderDate) Between [Enter Start Date:] And [Enter End Date:]));
Im writing a query that sums order values broken down by product groups - problem is that when I add joins the aggregated SUM gets greatly inflated - I assume its because its adding in duplicate rows. Im kinda new to SQL, but I think its because I need to construct the query with sub selects or nested joins?
All data returns as expected, and my joins pull out the needed data, but the SUM(inv.item_total) AS Value returned is much higher that it should be - SQL below
SELECT so.Company_id, SUM(inv.item_total) AS Value, co.company_name,
agents.short_desc, stock_type.short_desc AS Type
FROM SORDER as so
JOIN company AS co ON co.company_id = so.company_id
JOIN invoice AS inv ON inv.Sorder_id = so.Sorder_id
JOIN sorder_item AS soitem ON soitem.sorder_id = so.Sorder_id
JOIN STOCK AS stock ON stock.stock_id = soitem.stock_id
JOIN stock_type AS stock_type ON stock_type.stype_id = stock.stype_id
JOIN AGENTS AS AGENTS ON agents.agent_id = co.agent_id
WHERE
co.last_ordered >'01-JAN-2012' and so.Sotype_id='1'
GROUP BY so.Company_id,co.company_name,agents.short_desc, stock_type.short_desc
Any guidence on how I should structure this query to pull out an "un-duplicated" SUM(inv.item_total) AS Value much appreciated.
To get an accurate sum, you want only the joins that are needed. So, this version should work:
SELECT so.Company_id, SUM(inv.item_total) AS Value, co.company_name
FROM SORDER so JOIN
company co
ON co.company_id = so.company_id JOIN
invoice inv
ON inv.Sorder_id = so.Sorder_id
group by so.Company_id, co.company_name
You can then add in one join at a time to see where the multiplication is taking place. I'm guessing it has to do with the agents.
It sounds like the joins are not accurate.
First suspect join
For example, would an agent be per company, or per invoice?
If it is per order, then should the join be something along the lines of
JOIN AGENTS AS AGENTS ON agents.agent_id = inv.agent_id
Second suspect join
Can one order have many items, and many invoices at the same time? That can cause problems as well. Say an order has 3 items and 3 invoices were sent out. According to your joins, the same item will show up 3 times means a total of 9 line items where there should be only 3. You may need to eliminate the invoices table
Possible way to solve this on your own:
I would remove all the grouping and sums, and see if you can filter by one invoice produce an unique set of rows for all the data.
Start with an invoice that has just one item and inspect your result set for accuracy. If that works, then add another invoice that has multiple and check the rows to see if you get your perfect dataset back. If not, then the columns that have repeating values (Company Name, Item Name, Agent Name, etc) are usually a good starting point for checking up on why the duplicates are showing up.