I am trying to perform a SUM based on multiple distinct counts for specific columns on a SQL table. The issue so far is I can am unable to perform this sum while I thought the synthax would be okay. But it seems not since I constantly get an issue from this query.
select SUM(`s1`.`t1`) from (
select
COUNT(DISTINCT s1_global) from NPS_deploiement_synthese as s1 where hubspot_company_id = 2436352252
union
select
COUNT(DISTINCT s2_global) from NPS_deploiement_synthese as s1 where hubspot_company_id = 2436352252
) as t1;
You don't need a subquery at all:
select COUNT(DISTINCT s1_global) + COUNT(DISTINCT s2_global)
from NPS_deploiement_synthese s
where hubspot_company_id = 2436352252;
Your version could conceivably work, but the subquery needs column aliases.
You can add the 2 count():
select
COUNT(DISTINCT s1_global) + COUNT(DISTINCT s2_global)
from NPS_deploiement_synthese as s1
where hubspot_company_id = 2436352252
Related
I am trying to produce a result that shows duplicates in a table. One method I found for getting duplicates and showing them is to run the select statement again through an inner join. However, one of my columns needs to be the result of a function, and the only thing I can think to do is use an alias, however I can't use the alias twice in a SELECT statement.
I am not sure what the best way to run this code for getting the duplicates I need.
My code below
SELECT EXTRACT(YEAR_MONTH FROM date) as 'ndate', a.transponderID
FROM dispondo_prod_disposition.event a
inner JOIN (SELECT EXTRACT(YEAR_MONTH FROM date) as ???,
transponderID, COUNT(*)
FROM dispondo_prod_disposition.event
GROUP BY mdate, transponderID
HAVING count(*) > 1 ) b
ON ndate = ???
AND a.transponderID = b.transponderID
ORDER BY b.transponderID
SELECT b.ndate, transponderID
FROM dispondo_prod_disposition.event a
INNER JOIN ( SELECT EXTRACT(YEAR_MONTH FROM date) as ndate,
transponderID
FROM dispondo_prod_disposition.event
GROUP BY 1, 2
HAVING COUNT(*) > 1 ) b USING (transponderID)
WHERE b.ndate = ??? -- for example, WHERE b.ndate = 202201
ORDER BY transponderID
i would like to reduce the process time of my SQL request (actually it runs 10 minutes ...)
I think the problem come from the nested SQL queries.
(sorry for my english, i'm french student)
SELECT DISTINCT `gst.codeAP21`, `gst.email`, `gst.date`, `go.amount`
FROM globe_statistique
JOIN globe_customers ON `gst.codeAP21`=`gc.codeAP21`
JOIN globe_orders ON `gc.ID`=`go.FK_ID_customers`
WHERE `gst.page` = 'send_order'
AND `gst.date` = FROM_UNIXTIME(`go.date`,'%%Y-%%m-%%d')
UNION
SELECT DISTINCT `gst.codeAP21`, `gst.email`, `gst.date`, '-'
FROM globe_statistique
WHERE `gst.page` NOT LIKE 'send_order' "
AND (`gst.codeAP21`,`gst.date`) NOT IN
( SELECT `gst.codeAP21`,`gst.date` FROM globe_statistique
WHERE `gst.page`='send_order');
Thanks
try this:
SELECT DISTINCT `gst.codeAP21`, `gst.email`, `gst.date`, `go.amount`
FROM globe_statistique
JOIN globe_customers ON `gst.codeAP21`=`gc.codeAP21`
JOIN globe_orders ON `gc.ID`=`go.FK_ID_customers`
WHERE `gst.page` = 'send_order'
AND `gst.date` = FROM_UNIXTIME(`go.date`,'%%Y-%%m-%%d')
UNION
SELECT DISTINCT t1.`gst.codeAP21`, t1.`gst.email`, t1.`gst.date`, '-'
FROM globe_statistique t1
left join globe_statistique t2 on t1.gst.page =t2.gst.page and t1.gst.date =t2.gst.date and t2.gst.page =send_order
WHERE `gst.page` <> 'send_order' AND t2.gst.date is null
But i recomment to rename your column names and remove the dots.
Also use EXPLAIN to find out why the query is slow and add the correct index
try to avoid the use of distinct. To this end, UNION ALL should be used. Group by at the end gives the same result:
select codeAP21, email, date, amount
from ( --> your query without distinct but with UNION ALL <-- )
group by codeAP21, email, date, amount
see: Huge performance difference when using group by vs distinct
I have one SQL query with INNER JOINS. I need to get all offers from table offers.
Table offers is empty now. But the following query returns one row with NULL field.
Why is it returned? How to fix that? I need to return 0 rows if table is empty.
Query:
select *, SUM(offers.price * announcement_product.amount) AS total, announcements.user_id AS creator_ann, announcements.id AS ann_id,
announcements.delivery AS deliveryAnn, announcements.payment AS
paymentAnn, SUM(announcement_product.amount) AS amount,
announcement_product.name as name_product
from `offers`
inner join `announcements` on `announcements`.`id` = `offers`.`announcement_id`
inner join `announcement_product` on `offers`.`announcement_product_id` = `announcement_product`.`id`
inner join `countries` on `countries`.`id` = `announcements`.`country`
where `offers`.`user_id` = 1 and `offers`.`status` = 1 and `offers`.`deleted_at` is null
You're using the aggregate function SUM(), but you don't have any GROUP BY clause.
When you do that you are instructing MySQL to add up all the row values in the column you mention in SUM(). It will do that even if there are no rows to add up.
For best results you should study up on the GROUP BY function and how to use it with SUM(). It's hard to guess what you want from your query.
I'm not sure, but I don't think
select *, ..
when there's multiple tables in the query is valid.
Try
select offers.*,..
This how Your select structure should be :
Select
Id,
Sku,
Sum(Onhand),
Sum(price)
From mytable
Where mytable Onhand > 0
Group by
Id,Sku
If you are going to use aggregate function such as Max,Sum,Min,....
you need to use group by for other table fields that your using in the select part.
I am wondering if there is a way to make this work. I am deriving a table "WHERE lie_start='green'" (and a bunch of other conditions which i don't wanna repeat), need to get the number (and several other information) off it.
Additionally I need the number of entries with the additional condition lie_finish='holed'. Currently I'm gettin the error: Table mydb.x doesnt exist.
SELECT
COUNT(*) AS total,
(SELECT COUNT(*) FROM x WHERE lie_finish='holed') as holed
FROM (SELECT * FROM mydb.strokes WHERE lie_start='green') as x
You need to repeat the table name. The table alias is not recognized:
SELECT COUNT(*) AS total,
(SELECT COUNT(*) FROM mydb.strokes WHERE lie_finish='holed') as holed
FROM (SELECT * FROM mydb.strokes WHERE lie_start='green') as x;
However, this is much more simply written as:
select count(*) as total, sum(lie_finish = 'holed') as holed
from mydb.strokes s
where lie_start = 'green';
I have something like this:
SELECT id, fruit, pip
FROM plant
WHERE COUNT(*) = 2;
This weird query is self explanatory I guess. COUNT(*) here means the number of rows in plant table. My requirement is that I need to retrieve values from specified fields only if total number of rows in table = 2. This doesn't work but: invalid use of aggregate function COUNT.
I cannot do this:
SELECT COUNT(*) as cnt, id, fruit, pip
FROM plant
WHERE cnt = 2;
for one, it limits the number of rows outputted to 1, and two, it gives the same error: invalid use of aggregate function.
What I can do is instead:
SELECT id, fruit, pip
FROM plant
WHERE (
SELECT COUNT(*)
FROM plant
) = 2;
But then that subquery is the main query re-run. I'm presenting here a small example of the larger part of the problem, though I know an additional COUNT(*) subquery in the given example isn't that big an overhead.
Edit: I do not know why the question is downvoted. The COUNT(*) I'm trying to get is from a view (a temporary table) in the query which is a large query with 5 to 6 joins and additional where clauses. To re-run the query as a subquery to get the count is inefficient, and I can see the bottleneck as well.
Here is the actual query:
SELECT U.UserName, E.Title, AE.Mode, AE.AttemptNo,
IF(AE.Completed = 1, 'Completed', 'Incomplete'),
(
SELECT COUNT(DISTINCT(FK_QId))
FROM attempt_question AS AQ
WHERE FK_ExcAttemptId = #excAttemptId
) AS Inst_Count,
(
SELECT COUNT(DISTINCT(AQ.FK_QId))
FROM attempt_question AS AQ
JOIN `question` AS Q
ON Q.PK_Id = AQ.FK_QId
LEFT JOIN actions AS A
ON A.FK_QId = AQ.FK_QId
WHERE AQ.FK_ExcAttemptId = #excAttemptId
AND (
Q.Type = #descQtn
OR Q.Type = #actQtn
AND A.type = 'CTVI.NotImplemented'
AND A.IsDelete = #status
AND (
SELECT COUNT(*)
FROM actions
WHERE FK_QId = A.FK_QId
AND type != 'CTVI.NotImplemented'
AND IsDelete = #status
) = 0
)
) AS NotEvalInst_Count,
(
SELECT COUNT(DISTINCT(FK_QId))
FROM attempt_question AS AQ
WHERE FK_ExcAttemptId = #excAttemptId
AND Mark = #mark
) AS CorrectAns_Count,
E.AllottedTime, AE.TimeTaken
FROM attempt_exercise AS AE
JOIN ctvi_exercise_tblexercise AS E
ON AE.FK_EId = E.PK_EId
JOIN ctvi_user_table AS U
ON AE.FK_UId = U.PK_Id
JOIN ctvi_grade AS G
ON AE.FK_GId = G.PK_GId
WHERE AE.PK_Id = #excAttemptId
-- AND COUNT(AE.*) = #number --the portion in contention.
Kindly ignore the above query and guide me to right direction from the small example query I posted, thanks.
In MySQL, you can only do what you tried:
SELECT id, fruit, pip
FROM plant
WHERE (
SELECT COUNT(*)
FROM plant
) = 2;
or this variation:
SELECT id, fruit, pip
FROM plant
JOIN
(
SELECT COUNT(*) AS cnt
FROM plant
) AS c
ON c.cnt = 2;
Whether the 1st or the 2nd is more efficient, depends on the version of MySQL (and the optimizer). I would bet on the 2nd one, on most versions.
In other DBMSs, that have window functions, you can also do the first query that #Andomar suggests.
Here is a suggestion to avoid the bottleneck of calculating the derived table twice, once to get the rows and once more to get the count. If the derived table is expensive to be calculated, and its rows are thousands or millions, calculating them twice only to throw them away, is a problem, indeed. This may improve efficiency as it will limit the intermediately (twice) calculated rows to 3:
SELECT p.*
FROM
( SELECT id, fruit, pip
FROM plant
LIMIT 3
) AS p
JOIN
( SELECT COUNT(*) AS cnt
FROM
( SELECT 1
FROM plant
LIMIT 3
) AS tmp
) AS c
ON c.cnt = 2 ;
After re-reading your question, you're trying to return rows only if there are 2 rows in the entire table. In that case I think your own example query is already the best.
On another DBMS, you could use a Windowing function:
select *
from (
select *
, count(*) over () as cnt
from plant
) as SubQueryAlias
where cnt = 2
But the over clause is not supported on MySQL.
old wrong anser below
The where clause works before grouping. It works on single rows, not groups of rows, so you can't use aggregates like count or max in the where clause.
To set filters that work on groups of rows, use the having clause. It works after grouping and can be used to filter with aggregates:
SELECT id, fruit, pip
FROM plant
GROUP BY
id, fruit, pip
HAVING COUNT(*) = 2;
The other answers do not fulfill the original question which was to filter the results "without using a subquery".
You can actually do this by using a variable in 2 consecutive MySQL statements:
SET #count=0;
SELECT * FROM
(
SELECT id, fruit, pip, #count:=#count+1 AS count
FROM plant
WHERE
) tmp
WHERE #count = 2;