I need some directions for SQL Server & Cursors:
I have a table named Order:
OrderID Item Amount
1 A 10
1 B 1
2 A 5
2 C 4
2 D 21
3 B 11
I have a second table named Storage:
Item Amount
A 40
B 44
C 20
D 1
For every OrderID, I want to check if enough items are available. If not, I want to return an error message. How can this be done with Cursors at all? Are nested cursors the solution to this? My main issue is to understand how I can fetch the OrderID as actual "Group" of ID=1, 2, 3 etc. instead of line by line
Please don't use a cursor. You could use a try / catch if you need to throw an error.
Related
I have a table that looks as follows:
Policy Number Benefit Code Transaction Code
1 A 2
1 B 1
2 A 3
3 A 2
1 C 2
For analysis purposes, it would be much more convenient to have the table in the following form:
PN BC 1 TC 1 BC 2 TC 2 BC 3 TC 3
1 A 2 B 1 C 2
2 A 3 NULL NULL NULL NULL
3 A 2 NULL NULL NULL NULL
I believe this can be done, for example, in R using the tidyverse package, where the concept is basically pivoting the table from long-form to wide-form. Now, I know that I could possibly use the LEAD function in SQL, but the problem/issue is that I do not know how many benefit codes and transaction codes each policy has (i.e. they are not fixed).
Thus, my query is:
How can I "pivot wider" my table to achieve something like the above?
Other than "pivoting wider", is there a more dynamic form of the LEAD function in SQL, where it takes all subsequent rows of a group (in my case, each policy number) and puts them in new columns?
Any intuitive explanations or suggestions will be greatly appreciated :)
I have been struggling with this for hours. I am trying to update all values that have the same 'SHORT#'. If the 'SHORT#' is in 017_PolWpart2 I want this to be the value that updates the corresponding 'SHORT#' in 017_WithdrawalsYTD_changelater. This update query is just displaying zeroes, but these values are in fact non-zero.
So say 017_WithdrawalsYTD_changelater looks like this:
SHORT# WithdrawalsYTD
1 0
2 0
3 0
4 0
5 0
and 017_PolWpart2 looks like this:
SHORT# Sum_MTD_AGG
3 50
5 12
I want this:
SHORT# WithdrawalsYTD
1 0
2 0
3 50
4 0
5 12
But I get this:
SHORT# WithdrawalsYTD
1 0
2 0
3 0
4 0
5 0
I have attached the SQL for the Query below.
Thanks!
UPDATE 017_WithdrawalsYTD_changelater
INNER JOIN 017b_PolWpart2 ON [017_WithdrawalsYTD_changelater].[SHORT#] =
[017b_PolWpart2].[SHORT#]
SET [017_WithdrawalsYTD_changelater].WithdrawalsYTD = [017b_PolWpart2].[Sum_MTD_AGG];
EDIT:
As I must aggregate on the fly, I have tried to do so. Still getting all kinds off errors. Note the table 17a_PolicyWithdrawalMatch is of the form:
SHORT# MTG_AGG WithdrawalPeriod PolDurY
1 3 1 1
1 5 1 0
2 2 1 1
2 22 1 1
So I aggregate:
SHORT# MTG_AGG
1 3
2 24
And put these aggregated values in 017_WithdrawalsYTD_changelater.
I tried to this like so:
SELECT [017a_PolicyWithdrawalMatch].[SHORT#], Sum([017a_PolicyWithdrawalMatch].MTD_AGG) AS Sum_MTD_AGG
WHERE ((([017a_PolicyWithdrawalMatch].WithdrawalPeriod)=[017a_PolicyWithdrawalMatch].[PolDurY]))
GROUP BY [017a_PolicyWithdrawalMatch].[SHORT#]
UPDATE 017_WithdrawalsYTD_changelater INNER JOIN 017a_PolicyWithdrawalMatch ON [017_WithdrawalsYTD_changelater].[SHORT#] = [017a_PolicyWithdrawalMatch].[SHORT#] SET 017_WithdrawalsYTD_changelater.WithdrawalsYTD =Sum_MTD_AGG;
I am getting no luck... I get told SELECT statement is using a reserved word... :(
Consider heeding #June7's comments to avoid the use of saving aggregate data in a table as it redundantly uses storage resources since such data can be easily queried in real time. Plus, such aggregate values immediately become historical figures since it is saved inside a static table.
In MS Access, update queries must be sourced from updateable objects of which aggregate queries are not, being read-only types. Hence, they cannot be used in UPDATE statements.
However, if you really, really, really need to store aggregate data, consider using domain functions such as DSUM inside the UPDATE. Below assumes SHORT# is a string column.
UPDATE [017_WithdrawalsYTD_changelater] c
SET c.WithdrawalsYTD = DSUM("MTD_AGG", "[017a_PolicyWithdrawalMatch]",
"[SHORT#] = '" & c.[SHORT#] & "' AND WithdrawalPeriod = [PolDurY]")
Nonetheless, the aggregate value can be queried and refreshed to current values as needed. Also, notice the use of table aliases to reduce length of long table names:
SELECT m.[SHORT#], SUM(m.MTD_AGG) AS Sum_MTD_AGG
FROM [017a_PolicyWithdrawalMatch] m
WHERE m.WithdrawalPeriod = m.[PolDurY]
GROUP BY m.[SHORT#]
Can you help me with sql query to get the desired result
Database used :- Redshift
requirement is
I have 3 columns as:- dish_id,cateogory_id,counter
So i want counter to increase +1 if the dish_id is repeated and if not it should remain 1
the query i need should be able to query the source table and get the results as
dish_id category_id counter
21 4 1
21 6 2
21 6 3
12 1 1
Unless I missunderstood your question, you can accomplish that using window functions:
SELECT *,row_number() OVER (PARTITION BY dish_id) FROM my_table;
I am trying to make this very simple SQL script work:
SELECT
DATE(SEC_TO_TIMESTAMP(created_utc)) date_submission,
COUNT(*) AS num_apples_oranges_submissions
FROM
[fh-bigquery:reddit_comments.2008]
WHERE
(LOWER(body) CONTAINS ('apples')
AND LOWER(body) CONTAINS ('oranges'))
GROUP BY
date_submission
ORDER BY
date_submission
The results look like this:
1 2008-01-07 3
2 2008-01-08 1
3 2008-01-09 2
4 2008-01-10 3
5 2008-01-11 2
6 2008-01-13 2
7 2008-01-15 2
8 2008-01-16 3
As you can see, for days where there were no submissions containing both "apples" and "oranges", instead of a value of 0 being returned, the entire row is simply missing (such as on the 12th and 14th).
How can I fix this? I'm at my wits end. Thank you.
Try below, it will return all submissions days
SELECT
DATE(SEC_TO_TIMESTAMP(created_utc)) date_submission,
SUM((LOWER(body) CONTAINS ('apples') AND LOWER(body) CONTAINS ('oranges'))) AS num_apples_oranges_submissions
FROM
[fh-bigquery:reddit_comments.2008]
GROUP BY
date_submission
ORDER BY
date_submission
I have 2 procedures (say A and B). They both return data with similar columns set (Id, Name, Count). To be more concrete, procedures results examples are listed below:
A:
Id Name Count
1 A 10
2 B 11
B:
Id Name Count
1 E 14
2 F 15
3 G 16
4 H 17
The IDs are generated as ROW_NUMBER() as I don't have own identifiers for these records because they are aggregated values.
In code I query over the both results using the same class NameAndCountView.
And finally my problem. When I look into results after executing both procedures sequentially I get the following:
A:
Id Name Count
1 A 10 ->|
2 B 11 ->|
|
B: |
Id Name Count |
1 A 10 <-|
2 B 11 <-|
3 G 16
4 H 17
As you can see results in the second set are replaced with results with the same IDs from the first. Of course the problem take place because I use the same class for retrieving data, right?
The question is how to make this work without creating additional NameAndCountView2-like class?
If possible, and if you don't really mind about the original Id values, maybe you can try having the first query return even Ids :
ROW_NUMBER() over (order by .... )*2
while the second returns odd Ids :
ROW_NUMBER() over (order by .... )*2+1
This would also allow you to know where the Ids come from.
I guess this would be repeatable with N queries by having the query number i selecting
ROW_NUMBER() over (order by .... )*n+i
Hope this will help