I have the following query that extracts unique records from a table:
SELECT First(t1.[Site Number]) AS [FirstOfSite Number], t1.[Customer Number], First(t1.Address1) AS FirstOfAddress1
FROM tblImport1 AS t1
GROUP BY t1.[Customer Number]
ORDER BY t1.[Customer Number];
I want to update a second table, say tblimport, according to the query above by linking the fields t1.[Site Number] withtblimport.[Site Number].
I made the following query:
UPDATE tblimport
INNER JOIN tblimport on [tblimport].[site number]=[t1].[site number]
(SELECT First(t1.[Site Number]) AS [FirstOfSite Number], t1.[Customer Number], First(t1.Address1) AS FirstOfAddress1
FROM tblImport1 AS t1
GROUP BY t1.[Customer Number])
set tblimport.address1=t1.address1
However I get syntax error. Where am I going wrong here?
EDIT
I read the article suggested and I have amended the query this way:
UPDATE D
set D.address1=t1.address1
FROM tblimport as D
INNER JOIN (SELECT First(t1.[Site Number]) AS [FirstOfSite Number], t1.[Customer Number], First(t1.Address1) AS FirstOfAddress1 FROM tblImport1 AS t1 GROUP BY t1.[Customer Number])
ON t1.[Site Number]=D.[Site Number]
But I still have the syntax error.
Related
Select distinct [Doc Type], [Customer Number], count([Customer Number]) , [T] From (
Select distinct A.[Customer Number] & A.[Membership Number], A.[Customer Number] , B.[Doc Type ], B.[SumOpenAmount] From(
SELECT distinct [Doc Type] , [Customer Number], Sum([Open Amount]) as T FROM Data Where [Doc Type] = 'RU')B, [Data] A
Where B.[Customer Number] = A.[Customer Number] Group by [Doc Type])
group by [Doc Type], [Customer Number]
having count([Customer Number]) = 1
Throwing an Error that Doc Type could refer to more than 1 table listed in the from clause of your SQL Statement
Currently, your query has a number of syntax and suboptimal issues:
GROUP BY: In aggregate queries that contain non-aggregated columns in SELECT clause, GROUP BY must be used. Some dialects allow GROUP BY columns to be omitted but not Access SQL. Also, DISTINCT is not necessary for GROUP BY.
ALIASES: Whenever subqueries and joins are utilized, always use table aliases to avoid name collision for both derived tables and column aliases for all expressions. Additionally, avoid A, B, C ... for more informative aliases including T. See Bad Habits to Kick : Using table aliases like (a, b, c) or (t1, t2, t3).
EXPLICIT JOIN: Use the current ANSI SQL standard of explicit joins and not the outdated implicit joins that use WHERE. See Explicit vs implicit SQL joins.
Therefore, consider following adjustments that employ the above guidelines.
SELECT [doc type]
, [customer number]
, COUNT([customer number]) As CountCustomerNumber -- ALIAS ADDED
, SUM([SumOpenAmount]) As TotalOpenAmount -- AGGREGATED COLUMN
FROM
(SELECT d.[customer number] & d.[membership number] AS CustMemb -- ALIAS ADDED
, d.[customer number]
, agg.[doc type]
, SUM(agg.[TotalSubOpenAmount]) AS SumOpenAmount -- AGGREGATED COLUMN
FROM (SELECT [doc type]
, [customer number]
, SUM([open amount]) AS TotalSubOpenAmount -- INFORMATIVE ALIAS
FROM data
WHERE [doc type] = 'RU'
GROUP BY [doc type]
, [customer number]
) agg -- INFORMATIVE ALIAS
INNER JOIN [data] d -- INNER JOIN USED
ON d.[customer number] = agg.[customer number]
GROUP BY d.[customer number] & d.[membership number] -- GROUP BY COLUMNS ADDED
, d.[customer number]
, agg.[doc type]
) AS sub -- ALIAS ADDED
GROUP BY [doc type]
, [customer number]
HAVING COUNT([customer number]) = 1
Note: Since Access does not support comments in queries. Remove all -- messages before running.
It appears that the B.[DOC TYPE ] in the sub-query has an extra space in the field name.
Also, the sub-query does not reference the inner sub-query's [T] field and as such it will not be available to the main query unless it is in the Data table.
Finally, the outer sub-query's group by does not specify which data source the [Doc Type] is coming from for the grouping.
Try this
Select distinct
[Doc Type],
[Customer Number],
count([Customer Number]),
[T]
From
(
Select
distinct A.[Customer Number] & A.[Membership Number],
A.[Customer Number] ,
B.[Doc Type],
B.[T]
From
(
SELECT distinct
[Doc Type] ,
[Customer Number],
Sum([Open Amount]) as T
FROM
Data
Where [Doc Type] = 'RU'
)B,
[Data] A
Where B.[Customer Number] = A.[Customer Number]
Group by B.[Doc Type]
)
group by [Doc Type], [Customer Number]
having count([Customer Number]) = 1
So, this is a good reason to do aliasing. I think what's happening is your innermost (data) subquery is returning doctype (becomes b as part of the outer subquery), and a also has a doc type. You can also remove the inner Group By clause, because it's done on the outermost query; the results should be the same.
I also noticed that you do this: A.[Customer Number] & A.[Membership Number] and then don't do anything with the column. If you want to do something with that, you should name the Column. I named it CMN below, you can pick whatever you want.
Am I correct that you're also doing an implicit JOIN with the line ) as B, [Data] A? If so, you should consider making that explicit, or you may end up with undesired matches.
If that's what you want, do this:
-- as B, [Data] A
++ as B LEFT JOIN [Data] as A on a.[Customer Number] = b.[Customer Number]
This way, you can get rid of your Where B.[Customer Number] = A.[Customer Number] line (after testing, of course), and you'll end up with a more explicitly defined JOIN. See bottom for what that looks like.
The first Group by [Doc Type] is what's tripping you up.
When referring to fields, it's my personal preference to always add an alias unless I'm only working with a simple oneliner, with one table/view, even if there aren't any fields with similar names, because I usually end up with duplicate names in the future. Even then, I try to add aliases, because then later if I decide I want to add more fields/tables it doesn't make me re-factor the whole thing.
Try this (if you're not doing implicit JOIN):
Select distinct c.[Doc Type], c.[Customer Number], c.CMN, count(c.[Customer Number]) , c.[T]
From (
Select distinct (A.[Customer Number] & A.[Membership Number]) as CMN, A.[Customer Number] , B.[Doc Type], B.[SumOpenAmount]
From(
SELECT distinct d.[Doc Type] , d.[Customer Number], Sum(d.[Open Amount]) as T
FROM Data as d
Where d.[Doc Type] = 'RU'
) as B, [Data] A
Where B.[Customer Number] = A.[Customer Number]
) as C
group by C.[Doc Type], C.[Customer Number], C.CMN
having count(C.[Customer Number]) = 1
Do this if you want to have an explicit JOIN (recommended):
Select distinct c.[Doc Type], c.[Customer Number], c.CMN, count(c.[Customer Number]) , c.[T]
From (
Select distinct (A.[Customer Number] & A.[Membership Number]) as CMN, A.[Customer Number] , B.[Doc Type], B.[SumOpenAmount]
From(
SELECT distinct d.[Doc Type] , d.[Customer Number], Sum(d.[Open Amount]) as T
FROM Data as d
Where d.[Doc Type] = 'RU'
) as B
LEFT JOIN [Data] as A on a.[Customer Number] = b.[Customer Number]
) as C
group by C.[Doc Type], C.[Customer Number], C.CMN
having count(C.[Customer Number]) = 1
(Removed extra spaces)
SELECT r1.*
FROM [Table1] AS r1, [Table1] AS r2
WHERE
r1.[Employee]= r2.[Employee] and
r1.[Machine Type]= r2.[Machine Type] and
r1.[Machine number]= r2.[Machine number] and
r1.[Employee Last Name]= r2.[Employee Last Name] and
r1.[Employee First Name]= r2.[Employee First Name] and
r1.[Employee Number]= r2.[Employee Number] and
r1.[Shift]= r2.[Shift] and
r1.[Department]= r2.[Department] and
r1.[Position]= r2.[Position]
ORDER BY
r1.[Employee],
r1.[Machine Type],
r1.[Machine number],
r1.[Employee Last Name],
r1.[Employee First Name],
r1.[Employee Number],
r1.[Shift],
r1.[Department],
r1.[Position]
When I run this code on Table1, it selects ~33,000 records from ~63,000. Is it selecting records that have duplicates records based on the fields that are listed in the query?
I have 2 tables (tblTrainingElements and tblCourses).
tblTrainingElements has the following fields:
([Training Element ID], [Course ID], [Title],[Duration (min)],[Patient],[Status],[Description], [Comments],[Site],[ElementSeq])
tblCourses has the following relevant fields:
[Course ID], [App ID]
I need to delete all records in tblTrainingElements WHERE the [App ID] from tblCourses = "CAD". I need to join the tables on the [Course ID] field. Below is the SQL statement that I tried to use. I keep getting the error message "Please specify which table you would like to delete from"
DELETE tblCourses.[Course Name], tblCourses.[App ID], tblTrainingElements.[Training Element ID], tblTrainingElements.[Course ID], tblTrainingElements.Title, tblTrainingElements.[Duration (min)], tblTrainingElements.Patient, tblTrainingElements.Status, tblTrainingElements.Description, tblTrainingElements.Comments, tblTrainingElements.Site, tblTrainingElements.ElementSeq
FROM tblCourses INNER JOIN tblTrainingElements ON tblCourses.[Course ID] = tblTrainingElements.[Course ID]
WHERE (((tblCourses.[App ID])="CAD"))
Delete records only in tblTrainingElements table:
DELETE *
FROM tblTrainingElements
WHERE tblTrainingElements.[Course ID] IN (SELECT tblCourses.[Course ID] FROM tblCourses WHERE tblCourses.[App ID]="CAD" );
DELETE tc
FROM tblCourses tc
INNER JOIN tblTrainingElements tte ON tc.[Course ID] = tte.[Course ID]
WHERE (((tc.[App ID])="CAD"))
I am having Ambiguous Column Name "Item" error for the query below. However, I already type in the desired form as parameters are at the beginning of columns.
SELECT
[Country Code],
Item,
[FE SSO],
[Newest Job Number],
[Newest Transaction Date],
Z.ConsignDate AS [ConsignDate],
FROM DailyOnhand
LEFT JOIN
(SELECT
[Job Number],
[Item],
Min([Transaction Day]) AS ConsignDate
FROM vwAllTxns
GROUP BY [Job Number], [Item]) Z
ON vwDailyOnhand_v2.[Newest Job Number] = Z.[Job Number]
AND vwDailyOnhand_v2.[Item] = Z.[Item]
Any help is appreciated.
Thank you!
You need to prefix item in your select with the name/alias of the table it is sourced from.
SELECT
d.[Country Code],
d.Item,
d.[FE SSO],
d.[Newest Job Number],
d.[Newest Transaction Date],
Z.ConsignDate AS [ConsignDate],
FROM DailyOnHand d
LEFT JOIN
(SELECT
v.[Job Number],
v.[Item],
Min(v.[Transaction Day]) AS ConsignDate
FROM vwAllTxns v
GROUP BY v.[Job Number], v.[Item]
) Z
ON d.[Newest Job Number] = Z.[Job Number]
AND d.[Item] = Z.[Item]
Your from specifies DailyOnHand but your on specifies vwDailyOnhand_v2, I removed the later and used an alias instead.
SELECT
[Country Code],
Z.[Item], -- Need to specify which item is source
[FE SSO],
[Newest Job Number],
[Newest Transaction Date],
Z.ConsignDate AS [ConsignDate],
FROM DailyOnhand
LEFT JOIN
(SELECT
[Job Number],
[Item],
Min([Transaction Day]) AS ConsignDate
FROM vwAllTxns
GROUP BY [Job Number], [Item]) Z
ON vwDailyOnhand_v2.[Newest Job Number] = Z.[Job Number]
AND vwDailyOnhand_v2.[Item] = Z.[Item]
I have two separate queries here that I need to make into one query, I'll post the queries, then try to explain what I'm trying to do.
SELECT Distinct I.ITMCDE, V.VNDRCDE, V.VNAME
FROM (SELECT RIGHT(Items.[Item Number], 3) as ITMCDE FROM Items) I,
(SELECT LEFT(Vendors.[Vendor ID], 3) as VNDRCDE,
Vendors.[Vendor Name] as VNAME
FROM Vendors) V
WHERE I.ITMCDE = V.VNDRCDE
In this first one, I simply match up the vendor code with the item code, to get the vendor name that produces the item.
SELECT DISTINCT (Items.[Item Description]), ItemQuantities.[QTY Available],
Items.[Selling U Of M], Items.[Item Number]
FROM ItemQuantities
INNER JOIN Items ON ItemQuantities.[Item Number] = Items.[Item Number]
WHERE Items.[Item Number] LIKE 'WH%'
AND Items.[Item Number] NOT LIKE '%RMW'
In this second one I'm selecting the item description, quantity available from two separate tables (quantity available is in a different table, match them up using the item number)
As you can see, the only correlation between the three tables is the item number, and not even that in the vendors table. The last three characters of the item number correlate with the first three characters of the vendor id... I did not design this setup. I'm just trying to work with it now.
How do I join these two statements into one single statement that will give me the vendor name, item description, Unit of Measure (Selling U of M), and item quantity where the item description is unique?
I think this should work:
SELECT DISTINCT Items.[Item Description],
ItemQuantities.[QTY Available],
Items.[Selling U Of M],
Items.[Item Number],
V.VNAME
FROM ItemQuantities
INNER JOIN Items ON ItemQuantities.[Item Number] = Items.[Item Number]
INNER JOIN Vendors ON
RIGHT(Items.[Item Number], 3) = LEFT(Vendors.[Vendor ID], 3)
WHERE Items.[Item Number] LIKE 'WH%'
AND Items.[Item Number] NOT LIKE '%RMW'
You can join it in:
SELECT DISTINCT (i.[Item Description]), iq.[QTY Available],
i.[Selling U Of M], i.[Item Number],
V.VNDRCDE, V.VNAME
FROM ItemQuantities iq INNER JOIN
Items i
ON iq.[Item Number] = i.[Item Number] left outer join
Vendors v
on LEFT(v.[Vendor ID], 3) = RIGHT(i.[Item Number], 3)
WHERE i.[Item Number] LIKE 'WH%' and
i.[Item Number] NOT LIKE '%RMW'
I am not sure if you intend anything special with the parentheses around i.[Item Description]. The distinct keyword applies to the entire row.
If you want distinct only on the description, then you need to use group by. Something like:
SELECT i.[Item Description],
max(iq.[QTY Available]),
max(i.[Selling U Of M]), max(i.[Item Number]),
max(V.VNDRCDE), max(V.VNAME)
FROM ItemQuantities iq INNER JOIN
Items i
ON iq.[Item Number] = i.[Item Number] left outer join
Vendors v
on LEFT(v.[Vendor ID], 3) = RIGHT(i.[Item Number], 3)
WHERE i.[Item Number] LIKE 'WH%' and
i.[Item Number] NOT LIKE '%RMW'
group by i.[Item Description])
The max() will return the maximum value. If all are the same, then this is a good way to get an "arbitrary" value.
#sgeddes Thank you.
This is what I came up with
SELECT DISTINCT
Item.ITEMNMBR AS [Item Number],
Item.ITEMDESC AS [Item Description],
Item.ITMGEDSC AS [Item Category],
Item.SELNGUOM AS [Unit of Measure],
(SELECT VENDNAME FROM PM00200 WHERE (VENDORID = IV00103.VENDORID)) AS [Vendor Name],
(CASE WHEN Quan.QTYONHND > 0 THEN 'In Stock' ELSE 'Out of Stock' END) AS [Stock Status]
FROM IV00101 AS Item INNER JOIN
IV00102 AS Quan ON Item.ITEMNMBR = Quan.ITEMNMBR INNER JOIN
IV00103 ON Item.ITEMNMBR = IV00103.ITEMNMBR AND Quan.ITEMNMBR = IV00103.ITEMNMBR
WHERE (Item.ITEMNMBR LIKE 'WH%') AND (IV00103.VENDORID NOT LIKE '%MIL')