My Query is:
select * from customer_purchase_order where purchase_id NOT IN (SELECT cus_po_no FROM cus_comercial_invoice)
In this purchase id is single values but cus_po_no are multiple in cus_comercial_invoice table.
For example:
Purchase_id 1: POV162031.
Purchase_id 2: POV162125.
cus_po_no : 'POV162031','POV162125'.
Not In Query Not working
If you want to join Rows on foreign , primary key , use JOIN
select * from customer_purchase_order cpo JOIN
cus_comercial_invoice cci
ON cpo.purchase_id = cci.cus_po_no
You are not correct, see this SQL fiddle - it works as expected.
Related
This is how my MySQL table looks like :
Here, faculty_id and research_area are the primary keys. I want faculties who work in both “AI” and “Big Data”. So Ravi(F1) and Dham(F3) should be printed.
I tried select * from faculty_details where research_area='AI' AND research_area='Big Data'; and select * from faculty_details where research_area='AI' or research_area='Big Data'; but they didn't work.
One method uses group by and having:
select fd.faculty_id
from faculty_details fd
where fd.research_area in ('AI', 'Big Data')
group by fd.faculty_id
having count(*) = 2;
If you can have duplicates, then use:
having count(distinct research_area) = 2
I have inherited a table with a field "sku" with should be unique, but thanks to a failing sku-generating method is now littered with dozens of duplicates all around.
I need to quickly fix these duplicates (other parts of the application are failing when encountering these duplicate records) by running an update and appending the record ID to the SKU (which is a valid solution for the time being for this application).
I'm trying to run:
UPDATE
main_product_table
SET sku = CONCAT(sku, '-', CAST(product_id as CHAR) )
WHERE sku IN (
SELECT sku FROM main_product_table
GROUP BY sku
HAVING COUNT(*) > 1
);
But I receive:
You can't specify target table 'main_product_table' for update in FROM clause
Is there a way to accomplish the same? Is mysql complaining about me having main_product_table both in the update and in the subquery to get the duplicates?
Thanks!
Try this:
UPDATE
main_product_table
SET sku = CONCAT(sku, '-', CAST(product_id as CHAR) )
WHERE sku IN (
select * from ( SELECT sku FROM main_product_table
GROUP BY sku
HAVING COUNT(*) > 1) as p
);
Added table alias in inner query.
I have a table (pdt_1) in database (db_1) and another table (pdt_2) in another database (db_2).
I met pdt_1 and pdt_2 to find pdt_1 products not present and published in pdt_2.
functional code :
SELECT * FROM db_1.pdt_1 AS lm
WHERE lm.product_sku
NOT IN (SELECT DISTINCT product_cip7 FROM db_2.pdt_2)
AND lm.product_publish=‘Y'
finally, I need to insert the result of this query in pdt_2.
However, the structure of pdt_1 and pdt_2 are different.
Example:
- columns's names
- columns's numbers
I also need an auto_increment id for pdt_1 products inserted into pdt_2.
I need help.
NB : sorry for my poor english :(
If you want a new table with just the id and product_sku, try:
INSERT INTO new_table # with id and product_sku from first table
SELECT pdt_1.id,
pdt_1.product_sku
FROM db_1.pdt_1
LEFT JOIN db_2.pdt_2
ON pdt_1.product_sku = pdt_2.product_cip7
WHERE pdt_2.product_cip7 IS NULL
AND pdt_1.product_publish = 'Y'
I have this query:
select *
from transaction_batch
where id IN
(
select MAX(id) as id
from transaction_batch
where status_id IN (1,2)
group by status_id
);
The inner query runs very fast (less than 0.1 seconds) to get two ID's, one for status 1, one for status 2, then it selects based on primary key so it is indexed. The explain query says that it's searching 135k rows using where only, and I cannot for the life of me figure out why this is so slow.
The inner query is run seperatly for every row of your table over and over again.
As there is no reference to the outer query in the inner query, I suggest you split those two queries and just insert the results of the inner query in the WHERE clause.
select b.*
from transaction_batch b
inner join (
select max(id) as id
from transaction_batch
where status_id in (1, 2)
group by status_id
) bm on b.id = bm.id
my first post here.. sorry about the lack of formatting
I had a performance problem shown below:
90sec: WHERE [Column] LIKE (Select [Value] From [Table]) //Dynamic, slow
1sec: WHERE [Column] LIKE ('A','B','C') //Hardcoded, fast
1sec: WHERE #CSV like CONCAT('%',[Column],'%') //Solution, below
I had tried joining rather than subquerying.
I had also tried a hardcoded CTE.
I had lastly tried a temp table.
None of these standard options worked, and I was not willing to dosp_execute option.
The only solution that worked as:
DECLARE #CSV nvarchar(max) = Select STRING_AGG([Value],',') From [Table];
// This yields #CSV = 'A,B,C'
...
WHERE #CSV LIKE CONCAT('%',[Column],'%')
I write a query to get values from 3 tables but this is returning multiple values so can any one tell where i went wrong
select c.CompanyName,cd.FedTaxID,cd.EmailAddress,cd.PhoneNumber
from tblcustomerdetail cd,tblcustomer c
where c.FedTaxID in (
select FedTaxID
from tblcustomer
where CustomerID in (
select LOginID
from tbluserlogindetail
where UserName like "pa%" and RoleTypeID='20'
)
)
and cd.FedTaxID in (
select FedTaxID
from tblcustomer
where CustomerID in (
select LOginID
from tbluserlogindetail
where UserName like "pa%" and RoleTypeID='20'
)
);
My relation is here
My 3 tables are `tbluserlogindetails, tblcustomerdetails and tblCustomer'
1) Initially i will get `Login ID` from `tblUserLoginDetail ` based on the `user name`.
2) Next based on `LoginID` i will get `FedTaxID` from tblcustomerDetail`
3) Next based on 'FedTaxID' i will get the the required details from `tblcustomer'
SELECT
tblcustomer.CompanyName,
tblcustomerdetail.FedTaxID,
tblcustomerdetail.EmailAddress,
tblcustomerdetail.PhoneNumber
FROM tbluserlogindetail, tblcustomer, tblcustomerdetail
WHERE
tbluserlogindetail.LOginID = tblcustomer.CustomerID
AND tblcustomer.FedTaxID = tblcustomerdetail.FedTaxID
AND tbluserlogindetail.UserName LIKE 'pa%'
AND tbluserlogindetail.RoleTypeID = '20'
Try something like this.
Subqueries have a slow perfomance.
MySQL - SELECT WHERE field IN (subquery) - Extremely slow why?