I have a query in MYSQL which count products from specific vendor with product_status like Live, Pause, soldout, Partial-Soldout etc. Query include Subquery but works perfect in Mysql. For Redshift (Postgre v8.x) it gives error correlated subquery pattern is not supported due to internal error
Query (POSTGRES)
SELECT COUNT(CASE WHEN (vendor_id = 6 AND status = 1) THEN 1 ELSE NULL END) AS "vex",
COUNT(CASE WHEN (vendor_id = 6 AND status = 1 AND p.p_id IN (SELECT pov.p_id FROM product_option_value pov WHERE pov.p_id AND p.quantity != pov.quantity AND pov.quantity = 0 GROUP BY pov.p_id)) THEN 1 ELSE NULL END) AS "vex-Partial-Soldout",
COUNT(CASE WHEN (vendor_id = 6 AND status = 1 AND p.quantity = 0) THEN 1 ELSE NULL END) AS "vex-Soldout",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1) THEN 1 ELSE NULL END) AS "vey-DXB",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1 AND p.p_id IN (SELECT pov.p_id FROM product_option_value pov WHERE pov._id AND p.quantity != pov.quantity AND pov.quantity = 0 GROUP BY pov.p_id)) THEN 1 ELSE NULL END) AS "vey-Partial-Soldout",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1 AND p.quantity = 0) THEN 1 ELSE NULL END) AS "vey-Soldout"
FROM product p
Table Structure
//Product p table
* p_id * model * vendor_id * status * Quantity *
* 1001 * HB1 * 1 * 1 * 10 *
* 1002 * HB2 * 6 * 1 * 17 *
* 1003 * HB3 * 5 * 1 * 19 *
* 1004 * HB4 * 2 * 1 * 3 *
* 1005 * HB5 * 1 * 1 * 8 *
* 1006 * HB6 * 6 * 1 * 55 *
* 1007 * HB7 * 3 * 1 * 32 *
* 1008 * HB8 * 5 * 1 * 6 *
* 1009 * HB9 * 5 * 1 * 10 *
//product_option_value pov table
* pov_id * p_id * opt_id * quantity *
* 1 * 1001 * 11 * 10 *
* 2 * 1002 * 11 * 17 *
* 3 * 1003 * 11 * 0 *
* 4 * 1004 * 11 * 3 *
* 5 * 1005 * 11 * 8 *
* 6 * 1006 * 11 * 0 *
* 7 * 1007 * 11 * 32 *
* 8 * 1008 * 11 * 6 *
* 9 * 1009 * 11 * 0 *
Group by is necessary in subquery so left join is also not solving the issue.
The logic in the subqueries in quite painful to follow, so I'm not sure I have it 100% correct. For instance, the sample data only seems to have one row per product, but I don't know if that is really the case. Or what opt_id is, because that would seem to be useful in a query that uses the pov table.
That said, it appears that you just need JOIN and GROUP BY to get what you want -- a query that is much simpler and should be faster in any database.
In the following query, I have also split the two vendors on different rows. That is at least helpful to get the logic correct:
SELECT vendor_id,
COUNT(DISTINCT p.p_id) AS num_products,
SUM(CASE WHEN p.quantity <> pov.quantity AND pov.quantity = 0 THEN 1 ELSE 0 END) as partial_soldout,
COUNT(DISTINCT CASE WHEN p.quantity = 0 THEN p.p_id END) as soldout
FROM product p LEFT JOIN
product_option_value pov
ON pov.p_id = p.p_pid
WHERE p.vendor_id IN (5, 6) AND p.status = 1
GROUP BY p.vendor_id;
You have to remove the "pov.p_id AND" just after the where clause from the two expressions which calculate "vex-Partial-Soldout" and "vey-Partial-Soldout". Then it is working on postgreSQL9.6 and output is matching with your sqlserver version output.
SELECT COUNT(CASE WHEN (vendor_id = 6 AND status = 1) THEN 1 ELSE NULL END) AS "vex",
COUNT(CASE WHEN (vendor_id = 6 AND status = 1 AND p.p_id IN (SELECT pov.p_id FROM product_option_value pov WHERE p.quantity != pov.quantity AND pov.quantity = 0 GROUP BY pov.p_id)) THEN 1 ELSE NULL END) AS "vex-Partial-Soldout",
COUNT(CASE WHEN (vendor_id = 6 AND status = 1 AND p.quantity = 0) THEN 1 ELSE NULL END) AS "vex-Soldout",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1) THEN 1 ELSE NULL END) AS "vey-DXB",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1 AND p.p_id IN (SELECT pov.p_id FROM product_option_value pov WHERE p.quantity != pov.quantity AND pov.quantity = 0 GROUP BY pov.p_id)) THEN 1 ELSE NULL END) AS "vey-Partial-Soldout",
COUNT(CASE WHEN (vendor_id = 5 AND status = 1 AND p.quantity = 0) THEN 1 ELSE NULL END) AS "vey-Soldout"
FROM product p
Note: I did not paid much attention to your logic, as a best practice please avoid writing select statements within your select.
Related
I'm hoping to sort the items returned in the following query by the order they're entered into the IN() function.
SELECT t1.product_id
, SUM(t1.quantity)
FROM tb_invoice_detail t1
, tb_products t2
WHERE t1.del_date > DATE_ADD(SYSDATE(), INTERVAL - 1 MONTH)
AND t1.del_f = '1'
and t1.product_id = t2.id
AND IFNULL(t2.price_discount, t2.price) BETWEEN 0 AND 100
and t2.rate >= 0
GROUP
BY t1.product_id
ORDER
BY SUM(t1.quantity) DESC;
Result:
product_id, SUM(t1.quantity)
100320 8
100004 7
100210 5
100226 5
100321 4
100418 3
100002 2
100000 2
100001 2
100474 2
100268 2
When I get list data using product_id
SELECT
id,
name,
thumbnail,
description,
price,
IFNULL(price_discount, price) AS price_discount,
rate,
number_total,
number_current,
(CASE
WHEN number_current = 0 THEN 2
WHEN (ROUND(number_current / number_total * 100) < 20) THEN 1
ELSE 0
END) AS state
FROM
tb_products
WHERE
id IN (100320 , 100004,
100210,
100226,
100321,
100418,
100002,
100000,
100001,
100474,
100268)
=>
SELECT
id,
name,
thumbnail,
description,
price,
IFNULL(price_discount, price) AS price_discount,
rate,
number_total,
number_current,
(CASE
WHEN number_current = 0 THEN 2
WHEN (ROUND(number_current / number_total * 100) < 20) THEN 1
ELSE 0
END) AS state
FROM
tb_products
WHERE
id IN (100320 , 100004,
100210,
100226,
100321,
100418,
100002,
100000,
100001,
100474,
100268)
I have a table like this:
score
id week status
1 1 0
2 1 1
3 1 0
4 1 0
1 2 0
2 2 1
3 2 0
4 2 0
1 3 1
2 3 1
3 3 1
4 3 0
I want to get all the id's of people who have a status of zero for all weeks except for week 3. something like this:
Result:
result:
id w1.status w2.status w3.status
1 0 0 1
3 0 0 1
I have this query, but it is terribly inefficient on larger datasets.
SELECT w1.id, w1.status, w2.status, w3.status
FROM
(SELECT s.id, s.status
FROM score s
WHERE s.week = 1) w1
LEFT JOIN
(SELECT s.id, s.status
FROM score s
WHERE s.week = 2) w2 ON w1.id=w2.id
LEFT JOIN
(SELECT s.id, s.status
FROM score s
WHERE s.week = 3) w3 ON w1.id=w3.id
WHERE w1.status=0 AND w2.status=0 AND w3.status=1
I am looking for a more efficient way to calculate the above.
select id
from score
where week in (1, 2, 3)
group by id
having sum(
case
when week in (1, 2) and status = 0 then 1
when week = 3 and status = 1 then 1
else 0
end
) = 3
Or more generically...
select id
from score
group by id
having
sum(case when status = 0 then 1 else 0 end) = count(*) - 1
and min(case when status = 1 then week else null end) = max(week)
You can do using not exists as
select
t1.id,
'0' as `w1_status` ,
'0' as `w2_status`,
'1' as `w3_status`
from score t1
where
t1.week = 3
and t1.status = 1
and not exists(
select 1 from score t2
where t1.id = t2.id and t1.week <> t2.week and t2.status = 1
);
For better performance you can add index in the table as
alter table score add index week_status_idx (week,status);
In case of static number of weeks (1-3), group_concat may be used as a hack..
Concept:
SELECT
id,
group_concat(status) as totalStatus
/*(w1,w2=0,w3=1 always!)*/
FROM
tableName
WHERE
totalStatus = '(0,0,1)' /* w1=0,w2=1,w3=1 */
GROUP BY
id
ORDER BY
week ASC
(Written on the go. Not tested)
SELECT p1.id, p1.status, p2.status, p3.status
FROM score p1
JOIN score p2 ON p1.id = p2.id
JOIN score p3 ON p2.id = p3.id
WHERE p1.week = 1
AND p1.status = 0
AND p2.week = 2
AND p2.status = 0
AND p3.week = 3
AND p3.status = 1
Try this, should work
I have two different sales tables and i want to SUM the quantity and FEEs for storeX and storeY from book_sales(isa), with quantity from all sales in the financial_report(xo). Im having trouble with both, and i dont know which JOIN i should use. The quantity calculation does not give any results and the fee calculation gives a number that is way to high. What is wrong here?
Please check my procedure if you have time:
ALTER PROCEDURE [dbo].[Report] #startDate VARCHAR(10),
#endDate VARCHAR(10)
AS
SELECT BB.name AS 'Publisher',
Sum(CASE
WHEN isa.report_source = 'storeX'
or isa.report_source = 'storeY' THEN
isa.quantity * xo.quantity
END) AS 'Total quantity',
Sum(CASE
WHEN isa.sales_price > 69
AND isa.report_source = 'storeX' THEN
6 * 1.25 * isa.quantity
WHEN isa.sales_price <= 69
AND isa.report_source = 'storeX' THEN
3 * 1.25 * isa.quantity
WHEN isa.sales_price <= 19
AND isa.report_source = 'storeX' THEN
1 * 1.25 * isa.quantity
WHEN isa.sales_price > 69
AND isa.report_source = 'storeY' THEN
6 * 1.25 * isa.quantity
WHEN isa.sales_price <= 69
AND isa.report_source = 'storeY' THEN
3 * 1.25 * isa.quantity
WHEN isa.sales_price <= 19
AND isa.report_source = 'storeY' THEN
1 * 1.25 * isa.quantity
WHEN xo.sales_price > 69
AND bb.country = 'NOR' THEN 6 * 1.25 * xo.quantity
WHEN xo.sales_price <= 69
AND bb.country = 'NOR' THEN 3 * 1.25 * xo.quantity
WHEN xo.sales_price > 69
AND bb.country <> 'NOR' THEN 6 * xo.quantity
WHEN xo.sales_price <= 69
AND bb.country <> 'NOR' THEN 3 * xo.quantity
END) AS 'Fee inc VAT(tot)'
FROM book_sales AS isa
INNER JOIN store AS BV
ON bv.store_id = isa.store_id
INNER JOIN financial_report AS xo
ON xo.identifiers = isa.identifiers
LEFT OUTER JOIN publisher AS BB
ON bb.publisher_id = bk.publisher_id
WHERE isa.sales_date >= CONVERT(DATETIME, #startDate, 20)
AND isa.sales_date < Dateadd(day, 1, ( CONVERT(DATETIME, #endDate, 20
) ))
GROUP BY bb.name,
bb.country
There are a few problems to sort out :
1- The total might be affected by NULL values, I suggest:
Sum(CASE
WHEN isa.report_source = 'storeX'
or isa.report_source = 'storeY' THEN
isnull(isa.quantity,0) * isnull(xo.quantity,0)
ELSE 0 END) AS 'Total quantity',
2- The case evaluation should be in order. For example:
WHEN isa.sales_price <= 69
AND isa.report_source = 'storeX' THEN
3 * 1.25 * isa.quantity
WHEN isa.sales_price <= 19
AND isa.report_source = 'storeX' THEN
1 * 1.25 * isa.quantity
<= 19 will never happen because it is also <= 69 and therefore the <=69 will evaluate true.
3- Cardinality between tables might be 1 to many so the values are summed multiple times when they shouldn't. You may need to select distinct or aggregate or flatten out some of the tables in the join to avoid this issue.
I am trying to write matrix multiplication for MySQL and am kinda stuck:
basically, my matrices are stored in format
[row#, column#, matrixID, value], so for example matrix [3 x 2] would be something like:
[row#, column#, matrixID, value]
1 1 mat01 1
1 2 mat01 2
1 3 mat01 3
2 1 mat01 4
2 2 mat01 5
2 3 mat01 6
being equivalent to: [[1 2 3],[4 5 6]]
following does calculation of single element of matrix1 * matrix2 quite well:
SELECT SUM(row1.`val` * col2.`val`)
FROM matValues row1
INNER JOIN `matValues` col2
WHERE row1.`row` = 1 AND row1.`mID`='matrix1' AND
col2.`mID`='matrix2' AND col2.`col` = 1 AND row1.col = col2.row
wrapping this into function and then using another function to iterate over row and column numbers might work, but I have problems with generating this set of numbers and iterating over them using SQL.
Any advice / suggestions are welcome
Try:
select m1.`row#`, m2.`column#`, sum(m1.value*m2.value)
from matValues m1
join matValues m2 on m2.`row#` = m1.`column#`
where m1.matrixID = 'mat01' and m2.matrixID = 'mat02'
group by m1.`row#`, m2.`column#`
Example here.
(Replace 'mat01' and 'mat02' with suitable matrixID values.)
You can do the entire calculation in SQL. You only give an example with a single matrix, which because it is not square, cannot be multiplied by itself.
Here is the idea:
SELECT mout.row, mout.col, SUM(m1.value*m2.value)
FROM (select distinct row from matValues cross join
select distinct COL from matValues
) mout left outer join
matValues m1
on m1.row = mout.row left outer join
matValues m2
on m2.col = mout.col and
m2.row = m1.col
I know this is SQL-Server syntax, but it should give you a start on the corresponding MySql syntax. The sparse matrix nature seems to handle well.
with I as (
select * from ( values
(1,1, 1),
(2,2, 1),
(3,3, 1)
) data(row,col,value)
)
,z_90 as (
select * from ( values
(1,2, 1),
(2,1,-1),
(3,3, 1)
) data(row,col,value)
)
,xy as (
select * from ( values
(1,2, 1),
(2,1, 1),
(3,3, 1)
) data(row,col,value)
)
,x_90 as (
select * from ( values
(1,1, 1),
(2,3, 1),
(3,2,-1)
) data(row,col,value)
)
select
'I * z_90' as instance,
a.row,
b.col,
sum( case when a.value is null then 0 else a.value end
* case when b.value is null then 0 else b.value end ) as value
from I as a
join z_90 as b on a.col = b.row
group by a.row, b.col
union all
select
'z_90 * xy' as instance,
a.row,
b.col,
sum( case when a.value is null then 0 else a.value end
* case when b.value is null then 0 else b.value end ) as value
from z_90 as a
join xy as b on a.col = b.row
group by a.row, b.col
union all
select
'z_90 * x_90' as instance,
a.row,
b.col,
sum( case when a.value is null then 0 else a.value end
* case when b.value is null then 0 else b.value end ) as value
from z_90 as a
join x_90 as b on a.col = b.row
group by a.row, b.col
order by instance, a.row, b.col
yields:
instance row col value
----------- ----------- ----------- -----------
I * z_90 1 2 1
I * z_90 2 1 -1
I * z_90 3 3 1
z_90 * x_90 1 3 1
z_90 * x_90 2 1 -1
z_90 * x_90 3 2 -1
z_90 * xy 1 1 1
z_90 * xy 2 2 -1
z_90 * xy 3 3 1
However, I suggest you also check out performing this on your graphics card. NVIDIA has a good example of implementing matrix multiplication in theri C Programming Guide.
Table #1: qa_returns_items
Table #2: qa_returns_residues
I have a long time trying to get this Result:
item_code - item_quantity
2 - 1
3 - 2
IF qa_returns_items.item_code = qa_returns_residues.item_code AND status_code = 11 THEN
item_quantity = qa_returns_items.item_quantity -
qa_returns_residues.item_quantity
ELSEIF qa_returns_items.item_code = qa_returns_residues.item_code AND status_code = 12 THEN
item_quantity = qa_returns_items.item_quantity +
qa_returns_residues.item_quantity
ELSE
show diferendes
END IF
I tried this Query:
select SubQueryAlias.item_code,
item_quantity
from (
select
ri.item_code
, case status_code
when 11 then ri.item_quantity - rr.item_quantity
when 12 then ri.item_quantity + rr.item_quantity
end as item_quantity
from qa_returns_residues rr
left join qa_returns_items ri
on ri.item_code = rr.item_code
WHERE ri.returnlog_code = 1
) as SubQueryAlias
where item_quantity > 0 GROUP BY (item_code);
The query returns this result:
item_code - item_quantity
1 - 2
2 - 2
Try this query. I havn't tested it. It is very difficult what you require. But I have built it from table structure and given condition clause.
select qa_returns_items.item_code,
(CASE status_code
WHEN 11 THEN (qa_returns_items.item_quantity - qa_returns_residues.item_quantity)
WHEN 12 THEN (qa_returns_items.item_quantity + qa_returns_residues.item_quantity) END) as item_quantity ,
qa_returns_residues.item_unitprice,
( qa_returns_residues.item_unitprice * item_quant) as item_subtotal,
(qa_returns_residues.item_discount * item_quantity) as item_discount,
( ( qa_returns_residues.item_unitprice * item_quant) -
(qa_returns_residues.item_discount * item_quantity) ) as item_total
where
item_quantity > 0 AND qa_returns_items.item_code = qa_returns_residues.item_code
Update:
select qa_returns_items.item_code,
(CASE status_code
WHEN 11 THEN (qa_returns_items.item_quantity - qa_returns_residues.item_quantity)
WHEN 12 THEN (qa_returns_items.item_quantity + qa_returns_residues.item_quantity) END) as item_quant ,
qa_returns_residues.item_unitprice,
( qa_returns_residues.item_unitprice * item_quant) as item_subtotal,
(qa_returns_residues.item_discount * item_quantity) as item_discount,
( ( qa_returns_residues.item_unitprice * item_quant) -
(qa_returns_residues.item_discount * item_quantity) ) as item_total
where
(CASE status_code
WHEN 11 THEN (qa_returns_items.item_quantity - qa_returns_residues.item_quantity)
WHEN 12 THEN (qa_returns_items.item_quantity + qa_returns_residues.item_quantity) END) item_quant > 0 AND qa_returns_items.item_code = qa_returns_residues.item_code
In my experience I would advice you to start over with a fresh database, no records and start debugging step by step.
First create the database and the tables. After that insert only 2 records with simple data. Afterwards start debugging.
From what I was able to debug the problem is in your sub-select. In the topic you want to see item_code 2 and 3. That can't happen because:
SELECT ri.item_code,
CASE status_code
WHEN 11 then ri.item_quantity - rr.item_quantity
WHEN 12 then ri.item_quantity + rr.item_quantity
END AS item_quantity
FROM qa_returns_residues rr
LEFT JOIN qa_returns_items ri
ON ri.item_code = rr.item_code
WHERE ri.returnlog_code = 1 // Why do you need this for ?
returns
item_code item_quantity
2 2
1 0
1 0
1 0
1 2
And then the main query selects only the results which have item_quantity > 0.
Thus you get only
item_code item_quantity
1 2
2 2
as a result.
I'm not quite sure what's the purpose of this operation but have in mind that simple solutions are always best!
I solved my problem:
SELECT
item_code,
item_quantity,
item_unitprice,
item_subtotal,
item_discount,
item_total
FROM (
SELECT qa_returns_items.item_code,
qa_returns_items.item_quantity,
qa_returns_items.item_unitprice,
qa_returns_items.item_subtotal,
qa_returns_items.item_discount,
qa_returns_items.item_total
FROM qa_returns_items
WHERE returnlog_code = 1
UNION
SELECT qa_returns_residues.item_code,
qa_returns_residues.item_quantity,
qa_returns_residues.item_unitprice,
qa_returns_residues.item_subtotal,
qa_returns_residues.item_discount,
qa_returns_residues.item_total
FROM qa_returns_residues
WHERE returnlog_code = 1
ORDER BY item_code ASC
)
AS SubQueryAlias
WHERE item_code NOT IN (
SELECT a.item_code
FROM qa_returns_items a
JOIN qa_returns_residues b
ON b.item_code = a.item_code
WHERE a.returnlog_code = 1
AND b.returnlog_code = 1
);