I want to put this request (SELECT qte FROM table_stock where id_pro = cpt1) into an integer, like that i will be able to check if the product still exist (if quantity >0) so I us
SELECT qte
into quantite
FROM table_stock
where id_pro = cpt1;
More details in the PL/pgSQL reference
Try to avoid the loop with a single query like insert into table_result select... where quantity > 0;
Related
I am trying to select from one table using the select result from another table. I can run this in two queries but would like to optimize it into just one.
First query.. Select ids where matching other id
select id from lookuptable where paid = '547'
This results in something like this
6316352
6316353
6318409
6318410
6320468
6320469
6320470
6322526
6322527
6324586
6324587
6326648
I would like to then use this result to make another selection. I can do it manually like below. Note, there could be many rows with these values so I've been using a IN statement
select * from "othertable" where id in (6316352,6316353,6318409,6318410,6320468,6320469,6320470,6322526,6322527,6324586,6324587,6326648);
select
ot.*
from
"othertable" as ot
join
lookuptable as lt
on
ot.id = lt.id
where
lt.paid = '547'
The IN operator supports not just value lists but also subqueries, so you can literally write
select * from "othertable" where id in (select id from lookuptable where paid = '547');
I am trying to update a column in one database with a query:
Here the query
and this is the output i think it is impossible to asign a query to a field but what is the solution for that plz.
enter image description here
= can be used when we are pretty sure that the subquery returns only 1 value.
When we are not sure whether subquery returns more than 1 value, we will have to use IN to accommodate all values or simply use TOP 1 to limit the equality matching to one value:
UPDATE mascir_fiche SET partner = (SELECT TOP 1 id FROM hr_employee WHERE parent_id IN (SELECT id FROM hr_employee));
With Limit:
UPDATE mascir_fiche SET artner = (SELECT id FROM hr_employee WHERE parent_id IN (SELECT id FROM hr_employee) limit 1);
First off, I'm using SQL Server 2008 R2
I am moving data from one source to another. In this particular case there is a field called SiteID. In the source it's not a required field, but in the destination it is. So it was my thought, when the SiteID from the source is NULL, to sort of create a SiteID "on the fly" during the query of the source data. Something like a combination of the state plus the first 8 characters of a description field plus a ten digit number incremented.
At first I thought it might be easy to use a combination of date/time + nanoseconds but it turns out that several records can be retrieved within a nanosecond leading to duplicate SiteIDs.
My second idea was to create a table that contained an identity field plus a function that would add a record to increment the identity field and then return it (the function would also delete all records where the identity field is less than the latest saving space). Unfortunately after I got it written, when trying to "CREATE" the function I got a notice that INSERTs are not allowed in functions.
I could (and did) convert it to a stored procedure, but stored procedures are not allowed in select queries.
So now I'm stuck.
Is there any way to accomplish what I'm trying to do?
This script may take time to execute depending on the data present in the table, so first execute on a small sample dataset.
DECLARE #TotalMissingSiteID INT = 0,
#Counter INT = 0,
#NewID BIGINT;
DECLARE #NewSiteIDs TABLE
(
SiteID BIGINT-- Check the datatype
);
SELECT #TotalMissingSiteID = COUNT(*)
FROM SourceTable
WHERE SiteID IS NULL;
WHILE(#Counter < #TotalMissingSiteID )
BEGIN
WHILE(1 = 1)
BEGIN
SELECT #NewID = RAND()* 1000000000000000;-- Add your formula to generate new SiteIDs here
-- To check if the generated SiteID is already present in the table
IF ( ISNULL(( SELECT 1
FROM SourceTable
WHERE SiteID = #NewID),0) = 0 )
BREAK;
END
INSERT INTO #NewSiteIDs (SiteID)
VALUES (#NewID);
SET #Counter = #Counter + 1;
END
INSERT INTO DestinationTable (SiteID)-- Add the extra columns here
SELECT ISNULL(MainTable.SiteID,NewIDs.SiteID) SiteID
FROM (
SELECT SiteID,-- Add the extra columns here
ROW_NUMBER() OVER(PARTITION BY SiteID
ORDER BY SiteID) SerialNumber
FROM SourceTable
) MainTable
LEFT JOIN ( SELECT SiteID,
ROW_NUMBER() OVER(ORDER BY SiteID) SerialNumber
FROM #NewSiteIDs
) NewIDs
ON MainTable.SiteID IS NULL
AND MainTable.SerialNumber = NewIDs.SerialNumber
I have a large database, that I want to do some logic to update new fields.
The primary key is id for the table harvard_assignees
The LOGIC GOES LIKE THIS
Select all of the records based on id
For each record (WHILE), if (state is NOT NULL && country is NULL), update country_out = "US" ELSE update country_out=country
I see step 1 as a PostgreSQL query and step 2 as a function. Just trying to figure out the easiest way to implement natively with the exact syntax.
====
The second function is a little more interesting, requiring (I believe) DISTINCT:
Find all DISTINCT foreign_keys (a bivariate key of pat_type,patent)
Count Records that contain that value (e.g., n=3 records have fkey "D","388585")
Update those 3 records to identify percent as 1/n (e.g., UPDATE 3 records, set percent = 1/3)
For the first one:
UPDATE
harvard_assignees
SET
country_out = (CASE
WHEN (state is NOT NULL AND country is NULL) THEN 'US'
ELSE country
END);
At first it had condition "id = ..." but I removed that because I believe you actually want to update all records.
And for the second one:
UPDATE
example_table
SET
percent = (SELECT 1/cnt FROM (SELECT count(*) AS cnt FROM example_table AS x WHERE x.fn_key_1 = example_table.fn_key_1 AND x.fn_key_2 = example_table.fn_key_2) AS tmp WHERE cnt > 0)
That one will be kind of slow though.
I'm thinking on a solution based on window functions, you may want to explore those too.
I have a lengthy query here, and wondering whether it could be refactor?
Declare #A1 as int
Declare #A2 as int
...
Declare #A50 as int
SET #A1 =(Select id from table where code='ABC1')
SET #A2 =(Select id from table where code='ABC2')
...
SET #A50 =(Select id from table where code='ABC50')
Insert into tableB
Select
Case when #A1='somevalue' Then 'x' else 'y' End,
Case when #A2='somevalue' Then 'x' else 'y' End,
..
Case when #A50='somevalue' Then 'x' else 'y' End
From tableC inner join ......
So as you can see from above, there is quite some redundant code. But I can not think of a way to make it simpler.
Any help is appreciated.
If you need the variables assigned, you could pivot your table...
SELECT *
FROM
(
SELECT Code, Id
FROM Table
) t
PIVOT
(MAX(Id) FOR Code IN ([ABC1],[ABC2],[ABC3],[ABC50])) p /* List them all here */
;
...and then assign them accordingly.
SELECT #A1 = [ABC1], #A2 = [ABC2]
FROM
(
SELECT Code, Id
FROM Table
) t
PIVOT
(MAX(Id) FOR Code IN ([ABC1],[ABC2],[ABC3],[ABC50])) p /* List them all here */
;
But I doubt you actually need to assign them at all. I just can't really picture what you're trying to achieve.
Pivotting may help you, as you can still use the CASE statements.
Rob
Without taking the time to develop a full answer, I would start by trying:
select id from table where code in ('ABC1', ... ,'ABC50')
then pivot that, to get one row result set of columns ABC1 through ABC50 with ID values.
Join that row in the FROM.
If 'somevalue', 'x' and 'y' are constant for all fifty expressions. Then start from:
select case id when 'somevalue' then 'x' else 'y' end as XY
from table
where code in ('ABC1', ... ,'ABC50')
I am not entirely sure from your example, but it looks like you should be able to do one of a few things.
Create a nice look up table that will tell you for a given value of the select statement what should be placed there. This would be much shorter and should be insanely fast.
Create a simple for loop in your code and generate a list of 50 small queries.
Use sub-selects or generate a list of selects with one round trip to retrieve your #a1-#A50 values and then generate the query with them already in place.
Jacob