My code is running on different tables, so each table has different number of rows.
I would like to have SELECT CASE nLine so I can group them to 5 rows.
Where each group while have different code according to row.
row = 1 will have code 1.
row 2 - 4 will have code 2.
row = 5 will have code 5.
Select Case nLine
Case 1
Code 1
Case 2 - 4
Code 2
Case 5
Code 3
End Select
Loop <===Start again from above SELECT CASE
So, I need a code to group my rows to 5rows per group. And on each Group, to run this code.
What's the purpose of this grouping? If it's for display purposes create a calculated field in a query and use that.
GroupNo: IIf([nLine] = 1,1,IIf([nLine] = 5,3, 2))
Related
To generate 1mln rows of report with the below mentioned script is taking almost 2 days so, really appreciate if somebody could help me with different script which the report can be generated within 10-15mins please.
The requirement of the report is as following;
Table “cover” contains 5mln rows & 6 columns of data and likewise table “data” contains 500,000 rows and 6 columns.
So, each numbers of the rows in table cover has to go through table date and provide the maximum matches.
For instance, as mentioned on the below tables, there could be 3 matches in row #1, 2 matches in row #2 and 5 matches in row #3 so the script has to select the max selection which is 5 in row #3.
Sample table
UPDATE public.cover_sheet AS fc
SET maxmatch = (SELECT MAX(tmp.mtch)
FROM (
SELECT (SELECT CASE WHEN fc.a=drwo.a THEN 1 ELSE 0 END) +
(SELECT CASE WHEN fc.b=drwo.b THEN 1 ELSE 0 END) +
(SELECT CASE WHEN fc.c=drwo.c THEN 1 ELSE 0 END) +
(SELECT CASE WHEN fc.d=drwo.d THEN 1 ELSE 0 END) +
(SELECT CASE WHEN fc.e=drwo.e THEN 1 ELSE 0 END) +
(SELECT CASE WHEN fc.f=drwo.f THEN 1 ELSE 0 END) AS mtch
FROM public.data AS drwo
) AS tmp)
WHERE fc.code>0;
SELECT *
FROM public.cover_sheet AS fc
WHERE fc.maxmatch>0;
As #a_horse_with_no_name mentioned in the comment to the question, your question is not clear...
Seems, you want to get the number of records which 6 fields from both tables are equal.
I'd suggest to:
reduce the number of select statements, then the speed of query execution will increase,
split your query into few smaller ones (good practice), to check your logic,
use join to get equal data, see: Visual Representation of SQL Joins
use subquery or cte to get result on which you'll be able to update table.
I think you want to get result as follow:
SELECT COUNT(*) mtch
FROM public.cover_sheet AS fc INNER JOIN public.data AS drwo ON
fc.a=drwo.a AND fc.b=drwo.b AND fc.c=drwo.c AND fc.d=drwo.d AND fc.e=drwo.e AND fc.f=drwo.f
If i'm not wrong and above query is correct, the time of execution of above query will reduce to about 1-2 minutes.
Finally, update query may look like:
WITH qry AS
(
-- proper select statement here
)
UPDATE public.cover_sheet AS fc
SET maxmatch = qry.<fieldname>
FROM qry
WHERE fc.code>0 AND fc.<key> = qry.<key>;
Note:
I do not see your data and i know nothing about its structure, relationships, etc. So, you have to change above query to your needs.
I have a query, let's call it qry_01, that produces a set of data similar to this:
ID N CN Sum
1 4 0 0
2 3 3 3
5 4 4 7
8 3 3 10
The values shown in this query actually come from a chain of queries and from a bunch of different tables.
The corrected value CN is calculated within the query, and counts N if the ID is not 1, and 0 if it is 1.
The Sum is the value I want to calculate by progressively summing up the CN values.
I tried to use DSUM, but I came out with nothing.
Can anyone please help me?
You could use a correlated subquery in the following way:
select t.id, t.n, t.cn, (select sum(u.cn) from qry_01 u where u.id <= t.id) as [sum]
from qry_01 t
I've been tasked with coming up with a solution for a problem that was found this morning. I have a query that I need to do some math with. I have three pertinent columns.
SELECT lQ.[QUANTITY], lQ.[FORM_FACTOR_ID], oQ.[INDIVIDUAL_PACKAGING]
FROM [dbo].[AOF_ORDER_LINE_QUEUE] as lQ
LEFT JOIN [dbo].[AOF_ORDER_QUEUE] AS oQ
ON lQ.[SALES_ORDER_NUMBER] = oQ.[SALES_ORDER_NUMBER]
I can see myself doing this in a loop easily in languages I know best. It doesn't seem that looping is a good thing to do in SQL based on some preliminary research so I am reaching out for suggestions.
I need to output a total value which is a conditional sum of lQ.[QUANTITY]. The condition is if oQ.[FORM_FACTOR_ID] is equal to 1 then the output for that particular row is equal to the value of lQ.[QUANTITY]. If oQ.[FORM_FACTOR_ID] is equal to 2 then if oQ.[INDIVIDUAL_PACKAGING] is true, then the output of that particular row in the query is equal to lQ.[QUANTITY]. If the value is false, then the output of that particular row in the query is divided by 2. The final output needs to be a single integer.
QUANTITY FORM_FACTOR_ID INDIVIDUAL_PACKAGING
4 2 1
5 1 1
I would need a query that outputs the value 7 for the above table.
QUANTITY FORM_FACTOR_ID INDIVIDUAL_PACKAGING
4 2 0
5 2 0
That same query needs to output 5 for the above table.
What would be the best way to go about doing this?
If I understand the question correctly, you just want conditional aggregation -- a CASE as an argument to SUM().
If I follow the logic, it would look like:
SELECT SUM(CASE WHEN oq.FORM_FACTOR_ID = 1 THEN lQ.QUANTITY
WHEN oQ.FORM_FACTOR_ID = 2 AND oQ.INDIVIDUAL_PACKAGING = 1 THEN lQ.QUANTITY
WHEN oQ.FORM_FACTOR_ID = 2 AND oQ.INDIVIDUAL_PACKAGING = 0 THEN lQ.QUANTITY / 2
END)
FROM [dbo].[AOF_ORDER_LINE_QUEUE] lQ LEFT JOIN
[dbo].[AOF_ORDER_QUEUE] oQ
ON lQ.[SALES_ORDER_NUMBER] = oQ.[SALES_ORDER_NUMBER];
this is a sample sql query that i created ms access query. i am trying to get only one row the min(DATE). how ever when i run my query i get multiple lines. any hits? thanks
SELECT tblWarehouseItem.whiItemName,
tblWarehouseItem.whiQty,
tblWarehouseItem.whiPrice,
Min(tblWarehouseItem.whiDateIn) AS MinOfwhiDateIn,
tblWarehouseItem.whiExpiryDate,
tblWarehouseItem.whiwrhID
FROM tblWarehouseItem
GROUP BY tblWarehouseItem.whiDateIn,
tblWarehouseItem.whiItemName,
tblWarehouseItem.whiQty,
tblWarehouseItem.whiPrice,
tblWarehouseItem.whiExpiryDate,
tblWarehouseItem.whiwrhID;
If i have my sql code like that is working as it should:
SELECT MIN(tblWarehouseItem.whiDateIn) FROM tblWarehouseItem;
In the first query, you group by a number of columns. That means the minimum value will be calculated for each group, which in turn means you may have multiple rows. On the other hand, the second query will only get the minimum value for the specified column from all rows, so that there is only one row in the result set.
A simple example is shown below to illustrate the above.
Table:
Key Value
1 1
1 2
2 3
2 4
On Group By Key:
GroupKey MinValue
1 = min(1,2) = 1 -> Row 1
2 = min(3,4) = 3 -> Row 2
On Min (Value)
MinValue
=min(1,2,3,4) = 1 -> Row 1
For a table like above, if you want to select all rows and also show the minimum value from whole table rather than per group, you can do something like this:
select key, (select min(value) from table)
from table
SELECT WI.*
FROM tblWarehouseItem AS WI INNER JOIN (SELECT whiimtID, MIN(tblWarehouseItem.whiDateIn) AS whiDateIn
FROM tblWarehouseItem
GROUP BY whiimtID) AS MinWI ON (WI.whiDateIn = MinWI.whiDateIn) AND (WI.whiimtID = MinWI.whiimtID);
How can I select every thrid row from the table?
if a table has
1
2
3
4
5
6
7
8
9
records
it should pick up 3, 6,9 record. regards less what their data is.
Modulo is what you want...
Assuming contiguous values:
SELECT *
FROM Mytable
WHERE [TheColumn] Mod 3 = 0
And with gaps
SELECT *
FROM Mytable
WHERE DCount("TheColumn", "table", "TheColumn <= " & [TheColumn]) Mod 3 = 0
Edit: To exclude every 3rd record, ...Mod 3 <> 0
If its SQL you could use the row_number and over commands. see this, then where rownumvar % 3 =0 but not sure if that works in access.
Or you could put the table into a recordset and iterate through checking the index for % 3=0 if your using any kind of code.
How about a Count() on a field that has unique members. (id?) then % 3 on that.