What I want to do is to set every patient its unique patient code which starts with 1 and it's not based on row id. Id only specifies order. Something like this:
patient_id patient_code
2 1
3 2
4 3
This is my query:
UPDATE patients p1
SET p1.patient_code = (
SELECT COUNT( * )
FROM patients p2
WHERE p2.patient_id <= p1.patient_id
)
But it is throwing error:
#1093 - You can't specify target table 'p1' for update in FROM clause
I found this thread: Mysql error 1093 - Can't specify target table for update in FROM clause.But I don't know how to apply approved answer this to work with subquery WHERE which is necessary for COUNT.
UPDATE
patients AS p
JOIN
( SELECT
p1.patient_id
, COUNT(*) AS cnt
FROM
patients AS p1
JOIN
patients AS p2
ON p2.patient_id <= p1.patient_id
GROUP BY
p1.patient_id
) AS g
ON g.patient_id = p.patient_id
SET
p.patient_code = g.cnt ;
I found working solution, but this is just workaround:
SET #code=0;
UPDATE patients SET patient_code = (SELECT #code:=#code+1 AS code)
Try this,
UPDATE patients p1 INNER JOIN
(
SELECT COUNT(*) as count,patient_id
FROM patients
group by patient_id
)p2
SET p1.patient_code=p2.count
WHERE p2.patient_id <= p1.patient_id
SQL_LIVE_DEMO
Thanks to Mari's answer I found a solution to my similar problem. But I wanted to add a bit of an explanation which for me at first wasn't too clear from his answer.
What I wanted to do would have been as simple as the following:
UPDATE my_comments AS c
SET c.comment_responses = (
SELECT COUNT(c1.*) FROM my_comments AS c1
WHERE c.uid = c.parent_uid
);
Thanks to Mari I then found the solution on how to achieve this without running into the error You can't specify target table 'p1' for update in FROM clause:
UPDATE my_comments AS c
INNER JOIN (
SELECT c1.parent_uid, COUNT(*) AS cnt
FROM my_comments AS c1
WHERE c1.parent_uid <> 0
GROUP BY c1.parent_uid
) AS c2
SET c.comment_responses = c2.cnt
WHERE c2.parent_uid = c.uid;
My problems before getting to this solution were 2:
the parent_uid field doesn't always contain an id of a parent which is why I added the WHERE statement in the inner join
I didn't quite understand why I would need the GROUP BY until I executed the SELECT statement on it's own and the answer is: because COUNT groups the result and really counts everything. In order to prevent this behavior the GROUP BY is needed. In my case I didn't have to group it by uid though but the parent_uid to get the correct count. If I grouped it by uid the COUNT would always be 1 but the parent_uid existed multiple times in the result. I suggest you check the SELECT statement on it's own to check if it's the result you expect before you execute the full UPDATE statement.
Related
We're going through a bit of a clean-up exercise and I need to remove duplicate data that has accidentally been added to our database table. The ID is obviously different, but other fields are the same.
I can use the following query to select the duplicate data sets:
SELECT user_id, start_datetime, count(id) AS dup_count
FROM our_table
WHERE status = 1
GROUP BY user_id, start_datetime
HAVING count(id) > 1;
What I need to do is create a query that would take each of the duplicate IDs APART FROM THE FIRST and use that to update the status to 0.
I'm not sure I can do this is one query, but I think the steps are as follows:
Run a query similar to the one above
Extract all the IDs for the duplicate sets
Ignore the first in the list as we don't want to alter the correctly added first record
Run the update on the remaining set of IDs
Am I out of luck here - or is it possible to do?
Many thanks!
You can do this with an update/join:
UPDATE our_table ot JOIN
(SELECT user_id, start_datetime, count(id) AS dup_count, min(id) as minid
FROM our_table
WHERE status = 1
GROUP BY user_id, start_datetime
HAVING count(id) > 1
) dups
ON ot.user_id = dups.user_id and
ot.start_datetime = dups.start_datetime and
ot.id > dups.minid
SET ot.status = 0;
You can use this update query that will join OUR_TABLE with itself:
UPDATE
our_table o1 INNER JOIN our_table o2
ON o1.status=1
AND o2.status=1
AND o1.user_id = o2.user_id
AND o1.start_datetime = o2.start_datetime
AND o1.ID > o2.ID
SET
o1.status = 0
Please see an example fiddle here.
I am trying to find out the missing record in the target. I need the employee whose record are missing.
Suppose I have input source as
1,Jack,type1,add1,reg3,..,..,..,
2,Jack,type2,add1,reg3,..,,.,..,
3,Jack,type3,add2,reg4,..,.,..,.,
4,Rock,,,,,,,,
and I have output as
1,Jack,type1,add1,reg3,..,..,..,
4,Rock,,,,,,,,
I have 1000 numbers of rows for other employees and in target i don't have any duplicate records.
I need the employee who are present in source and target having different occurance
means for e.g in above sample data I have 3 entries of jack and 1 entry of Rock in source
and in target I have only on entry of Jack and one for Rock
I am running below query and required output is Jack,3
How can I get it. I am getting error in below query
select A.EMP_NUMBER,A.CNT1
from
(select EMP_NUMBER,count(EMP_NUMBER) as CNT1
from EMPLOYEE_SOURCE
group by EMP_NUMBER ) as A
INNER JOIN
(select B.EMP_NUMBER,B.CNT2
from (select EMP_NUMBER,count(EMP_NUMBER) as CNT2
from EMPLOYEE_TARGET
group by EMP_NUMBER )as B )
ON (A.EMP_NUMBER = B.EMP_NUMBER)
where A.CNT1 != B.CNT2
Please help.
Why don't get the employee that have different number of rows in the two table when grouped by their name (I suppose Emp_Number is the field that contain the name if that what the query in the question return)
SELECT s.Emp_Number, Count(s.Emp_Number)
FROM EMPLOYEE_SOURCE s
LEFT JOIN EMPLOYEE_TARGET t ON s.Emp_Number = t.Emp_Number
GROUP BY s.Emp_Number
HAVING Count(s.Emp_Number) != Count(t.Emp_Number)
It would be really helpful if you specified the exact error you get.
If this is you actual query there are two things: There's no alias name for the 2nd Derived Table (btw, you don't need it at all) and at least in Teradata !=is not valid, this is SQL and not C.
select A.EMP_NUMBER,A.CNT1
from
(
select EMP_NUMBER,count(EMP_NUMBER) as CNT1
from EMPLOYEE_SOURCE
group by EMP_NUMBER
) as A
INNER JOIN
(
select EMP_NUMBER,count(EMP_NUMBER) as CNT2
from EMPLOYEE_TARGET
group by EMP_NUMBER
) as B
ON (A.EMP_NUMBER = B.EMP_NUMBER)
where A.CNT1 <> B.CNT2
If an employee is missing in the 2nd table you might have to use an Outer Join as Serpiton suggested and add an additional WHERE-condition:
where A.CNT1 <> B.CNT2
or b.CNT2 IS NULL
I'm trying to get the WHERE part of my subquery to work below. I can see that 'where event_id=..' is ambiguous because the parent query is looking at the same table.
Is it even possible to have a WHERE in a same-table subquery?
UPDATE tickets SET tickets.ticket_number = (
SELECT max_ticket
FROM (
SELECT (MAX(ticket_number)+1) AS max_ticket
FROM tickets
WHERE event_id=10045
)
AS sub_table
)
WHERE ticket_id=68
Any help really appreciated.
Possibly try it as a join
UPDATE tickets a
INNER JOIN
(
SELECT (MAX(ticket_number)+1) AS max_ticket
FROM tickets
WHERE event_id = 10045
) b
SET a.ticket_number = b.max_ticket
WHERE a.ticket_id = 68
Everything in the following query results in one line for each invBlueprintTypes row with the correct information. But I'm trying to add something to it. See below the codeblock.
Select
blueprintType.typeID,
blueprintType.typeName Blueprint,
productType.typeID,
productType.typeName Item,
productType.portionSize,
blueprintType.basePrice * 0.9 As bpoPrice,
productGroup.groupName ItemGroup,
productCategory.categoryName ItemCategory,
blueprints.productionTime,
blueprints.techLevel,
blueprints.researchProductivityTime,
blueprints.researchMaterialTime,
blueprints.researchCopyTime,
blueprints.researchTechTime,
blueprints.productivityModifier,
blueprints.materialModifier,
blueprints.wasteFactor,
blueprints.maxProductionLimit,
blueprints.blueprintTypeID
From
invBlueprintTypes As blueprints
Inner Join invTypes As blueprintType On blueprints.blueprintTypeID = blueprintType.typeID
Inner Join invTypes As productType On blueprints.productTypeID = productType.typeID
Inner Join invGroups As productGroup On productType.groupID = productGroup.groupID
Inner Join invCategories As productCategory On productGroup.categoryID = productCategory.categoryID
Where
blueprints.techLevel = 1 And
blueprintType.published = 1 And
productType.marketGroupID Is Not Null And
blueprintType.basePrice > 0
So what I need to get in here is the following table with the columns below it so I can use the values timestamp and sort the entire result by profitHour
tablename: invBlueprintTypesPrices
columns: blueprintTypeID, timestamp, profitHour
I need this information with the following select in mind. Using a select to show my intention of the JOIN/in-query select or whatever that can do this.
SELECT * FROM invBlueprintTypesPrices
WHERE blueprintTypeID = blueprintType.typeID
ORDER BY timestamp DESC LIMIT 1
And I need the main row from table invBlueprintTypes to still show even if there is no result from the invBlueprintTypesPrices. The LIMIT 1 is because I want the newest row possible, but deleting the older data is not a option since history is needed.
If I've understood correctly I think I need a subquery select, but how to do that? I've tired adding the exact query that is above with a AS blueprintPrices after the query's closing ), but did not work with a error with the
WHERE blueprintTypeID = blueprintType.typeID
part being the focus of the error. I have no idea why. Anyone who can solve this?
You'll need to use a LEFT JOIN to check for NULL values in invBlueprintTypesPrices. To mimic the LIMIT 1 per TypeId, you can use the MAX() or to truly make sure you only return a single record, use a row number -- this depends on whether you can have multiple max time stamps for each type id. Assuming not, then this should be close:
Select
...
From
invBlueprintTypes As blueprints
Inner Join invTypes As blueprintType On blueprints.blueprintTypeID = blueprintType.typeID
Inner Join invTypes As productType On blueprints.productTypeID = productType.typeID
Inner Join invGroups As productGroup On productType.groupID = productGroup.groupID
Inner Join invCategories As productCategory On productGroup.categoryID = productCategory.categoryID
Left Join (
SELECT MAX(TimeStamp) MaxTime, TypeId
FROM invBlueprintTypesPrices
GROUP BY TypeId
) blueprintTypePrice On blueprints.blueprintTypeID = blueprintTypePrice.typeID
Left Join invBlueprintTypesPrices blueprintTypePrices On
blueprintTypePrice.TypeId = blueprintTypePrices.TypeId AND
blueprintTypePrice.MaxTime = blueprintTypePrices.TimeStamp
Where
blueprints.techLevel = 1 And
blueprintType.published = 1 And
productType.marketGroupID Is Not Null And
blueprintType.basePrice > 0
Order By
blueprintTypePrices.profitHour
Assuming you might have the same max time stamp with 2 different records, replace the 2 left joins above with something similar to this getting the row number:
Left Join (
SELECT #rn:=IF(#prevTypeId=TypeId,#rn+1,1) rn,
TimeStamp,
TypeId,
profitHour,
#prevTypeId:=TypeId
FROM (SELECT *
FROM invBlueprintTypesPrices
ORDER BY TypeId, TimeStamp DESC) t
JOIN (SELECT #rn:=0) t2
) blueprintTypePrices On blueprints.blueprintTypeID = blueprintTypePrices.typeID AND blueprintTypePrices.rn=1
You don't say where you are putting the subquery. If in the select clause, then you have a problem because you are returning more than one value.
You can't put this into the from clause directly, because you have a correlated subquery (not allowed).
Instead, you can put it in like this:
from . . .
(select *
from invBLueprintTypesPrices ibptp
where ibtp.timestamp = (select ibptp2.timestamp
from invBLueprintTypesPrices ibptp2
where ibptp.blueprintTypeId = ibptp2.blueprintTypeId
order by timestamp desc
limit 1
)
) ibptp
on ibptp.blueprintTypeId = blueprintType.TypeID
This identifies the most recent records for all the blueprintTypeids in the subquery. It then joins in the one that matches.
Can anyone see what is wrong with the below query?
When I run it I get:
#1064 - You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use
near 'a where a.CompetitionID = Competition.CompetitionID' at line 8
Update Competition
Set Competition.NumberOfTeams =
(
SELECT count(*) as NumberOfTeams
FROM PicksPoints
where UserCompetitionID is not NULL
group by CompetitionID
) a
where a.CompetitionID = Competition.CompetitionID
The main issue is that the inner query cannot be related to your where clause on the outer update statement, because the where filter applies first to the table being updated before the inner subquery even executes. The typical way to handle a situation like this is a multi-table update.
Update
Competition as C
inner join (
select CompetitionId, count(*) as NumberOfTeams
from PicksPoints as p
where UserCompetitionID is not NULL
group by CompetitionID
) as A on C.CompetitionID = A.CompetitionID
set C.NumberOfTeams = A.NumberOfTeams
Demo: http://www.sqlfiddle.com/#!2/a74f3/1
Thanks, I didn't have the idea of an UPDATE with INNER JOIN.
In the original query, the mistake was to name the subquery, which must return a value and can't therefore be aliased.
UPDATE Competition
SET Competition.NumberOfTeams =
(SELECT count(*) -- no column alias
FROM PicksPoints
WHERE UserCompetitionID is not NULL
-- put the join condition INSIDE the subquery :
AND CompetitionID = Competition.CompetitionID
group by CompetitionID
) -- no table alias
should do the trick for every record of Competition.
To be noticed :
The effect is NOT EXACTLY the same as the query proposed by mellamokb, which won't update Competition records with no corresponding PickPoints.
Since SELECT id, COUNT(*) GROUP BY id will only count for existing values of ids,
whereas a SELECT COUNT(*) will always return a value, being 0 if no records are selected.
This may, or may not, be a problem for you.
0-aware version of mellamokb query would be :
Update Competition as C
LEFT join (
select CompetitionId, count(*) as NumberOfTeams
from PicksPoints as p
where UserCompetitionID is not NULL
group by CompetitionID
) as A on C.CompetitionID = A.CompetitionID
set C.NumberOfTeams = IFNULL(A.NumberOfTeams, 0)
In other words, if no corresponding PickPoints are found, set Competition.NumberOfTeams to zero.
For the impatient:
UPDATE target AS t
INNER JOIN (
SELECT s.id, COUNT(*) AS count
FROM source_grouped AS s
-- WHERE s.custom_condition IS (true)
GROUP BY s.id
) AS aggregate ON aggregate.id = t.id
SET t.count = aggregate.count
That's #mellamokb's answer, as above, reduced to the max.
You can check your eav_attributes table to find the relevant attribute IDs for each image role, such as;
Then you can use those to set whichever role to any other role for all products like so;
UPDATE catalog_product_entity_varchar AS `v` INNER JOIN (SELECT `value`,`entity_id` FROM `catalog_product_entity_varchar` WHERE `attribute_id`=86) AS `j` ON `j`.`entity_id`=`v`.entity_id SET `v`.`value`=j.`value` WHERE `v`.attribute_id = 85 AND `v`.`entity_id`=`j`.`entity_id`
The above will set all your 'base' roles to the 'small' image of the same product.