I have the below code:
UPDATE VIEW
LEFT JOIN sem_view ON (view.semester = sem_view.semester)
SET view.t_credit = SUM(sem_view.credit)
but its not working saying invalid use of group
Data for updating must be perpared previously, in subquery. Updating must use the data which is already aggregated.
Left joining may be errorneous - it will set the value in the destination table to NULL if according data for the semester in interest in sem_view is not present. But if the logic needs this then you may use LEFT JOIN instead of INNER one in the below query.
Totally:
UPDATE `view`
JOIN ( SELECT sem_view.semester, SUM(sem_view.credit) summ
FROM sem_view
GROUP BY sem_view.semester ) data_for_updating
ON `view`.semester = data_for_updating.semester
SET `view`.t_credit = data_for_updating.summ;
PS. The text looks like view is a name of a table to be updated.
I am trying to update a value to be NULL where tracker_unique_id can be found in ab_split_tracker_unique_link where that ones ab_split_id can be found in a 3rd table ab_split_candidate.
I cant do it by giving it different values as they can be different from user to user on locals
UPDATE trustpilot_links SET `invite_after_enquiry` = NULL
WHERE EXISTS (
SELECT tracker_unique_id, ab_split_tracker_unique_link.ab_split_candidate_id
FROM ab_split_tracker_unique_link
WHERE EXISTS (
SELECT ab_split_candidate_id
FROM ab_split_candidate LEFT JOIN ab_split
ON ab_split_candidate.ab_split_id = ab_split.ab_split_id WHERE ab_split.reference="review_invite_after_enquiry"
)
);
Edit:
Table examples
Trustpilot Links
trustpilot_link_id | invite_after_enquiry | tracker_unique_id
1 1 123
2 0 1234
ab_split_tracker_unique_link
tracker_unique_id | ab_split_id
1234 32
Ab Split
ab_split_id | reference
32 review_invite_after_enquiry
I want to set values to null if there tracker cannot be found in table ab_split_tracker_unique_link with an ab_split_id that is equal to review_invite_after_enquiry in ab_split
Your subqueries are not related to their parent queries as they should be. Let's look at your inner-most query:
SELECT ab_split_candidate_id
FROM ab_split_candidate
LEFT JOIN ab_split ON ab_split_candidate.ab_split_id = ab_split.ab_split_id
WHERE ab_split.reference = 'review_invite_after_enquiry'
Well, first of all your WHERE clause dismisses outer-joined records, so this is essentially an INNER JOIN. But then: either there are such records or not. This has nothing to do with the record your are potentially updating, nor with the ab_split_tracker_unique_link you are looking up.
So either you are updating all records or none.
We would rather expect something like
UPDATE trustpilot_links tl
SET invite_after_enquiry = NULL
WHERE EXISTS
(
SELECT *
FROM ab_split_tracker_unique_link stul
WHERE stul.tracker_unique_id = tl.tracker_unique_id
AND ...
);
So add WHERE clauses that relate the subqueries to their parent queries.
I have two tables with existing data pulled in from Excel spreadsheets converted to .csv:
table one : loanbook
table two : olb
staffno and loanstart columns are similar in both tables. For every staffno there can be multiple results in olb table.
PROBLEM:
I need to update loanstop column in table one (loanbook) with loanstop values from table two (olb) where staffno and loanstart are the same.
UPDATE loanbook3
SET loanbook3.loanstop = (
SELECT loanstop
FROM olb
WHERE olb.staffno = loanbook3.staffno
AND
olb.loanstart = loanbook3.loanstart
);
RESULT
#1242 - Subquery returns more than 1 row.
What do I do?
use limit 1 with your Subquery
UPDATE loanbook3 SET loanbook3.loanstop =
( SELECT loanstop FROM olb WHERE
olb.staffno = loanbook3.staffno
AND olb.loanstart = loanbook3.loanstart limit 1)
Have is an example of the problem I'm facing. The database tables are a little different than usual, but needed to be setup this way.
Items: id, order_id, other fields
Items_Drinks: id, drinks, other fields
Orders: id, other fields
Orders_Drinks: id, drinks, other fields
I need to have an update query that will update the Orders_Drinks table with the sum of the Items_Drinks drinks field that have the same order_id as Orders_Drinks id field.
Items: 1 1 ...
Items: 2 1 ...
Items_Drinks: 1 4 ...
Items_Drinks: 2 5 ...
Orders: 1 ...
Orders_Drinks: 1 9 ...
The Orders_Drinks is currently correct, but if I were to update Items_Drinks with id of 1 to 5, I would need an update command to get Orders_Drinks with id 1 to equal 10.
It would be best if the command would update every record of the Orders_Drinks.
I know my database is not typical, but it is needed for my application. This is because the Drinks table is not needed for all entries. The Drinks table has over 5000 fields in it, so if every record had these details the database would grow and slow for no real reason. Please do not tell me to restructure the database, this is needed.
I am currently using for loops in my C# program to do what I need, but having 1 command would save a ton of time!
Here is my best attempt, but it gives an error of "invalid group function".
update Orders_Drinks join Items on Items.order_id=Orders_Drinks.id join Items_Drinks on Items_Drinks.id=Items.id set Orders_Drinks.drinks=sum(Item_Drinks.drinks);
I think this is what you're wanting.
Edited:
UPDATE `Order_Drinks` a
SET a.`drinks` = (SELECT SUM(b.`drinks`) FROM `Items_Drinks` b INNER JOIN `Items` c ON (b.`id` = c.`id`) WHERE a.`id` = c.`order_id`)
That should give you a total of 9 for the Order_Drinks table for the row id of 1.
This is assuming that Orders.id == Orders_Drinks.id and that Items.id == Items_Drinks.id.
You need to do an aggregation. You can do this in the join part of the update statement:
update Orders_Drinks od join
(select i.order_id, sum(id.drinks) as sumdrinks
from Items i join
Items_Drinks id
on id.id = i.id
) iid
on iid.order_id = od.id
set od.drinks = iid.sumdrinks;
Something like this will return the id from the orders_drinks table, along with the current value of the drinks summary field, and a new summary value derived from the related items_drinks tables.
(Absent the name of the foreign key column, I've assumed the foreign key column names are of the pattern: "referenced_table_id" )
SELECT od.id
, od.drinks AS old_drinks
, IFNULL(td.tot_drinks,0) AS new_drinks
FROM orders_drinks od
LEFT
JOIN ( SELECT di.orders_drinks_id
, SUM(di.drinks) AS tot_drinks
FROM items_drinks di
GROUP BY di.orders_drinks_id
) td
ON td.orders_drinks_id = od.id
Once we have SELECT query written that gets the result we want, we can change it into an UPDATE statement. Just replace SELECT ... FROM with the UPDATE keyword, and add a SET clause, to assign/replace the value to the drinks column.
e.g.
UPDATE orders_drinks od
LEFT
JOIN ( SELECT di.orders_drinks_id
, SUM(di.drinks) AS tot_drinks
FROM items_drinks di
GROUP BY di.orders_drinks_id
) td
ON td.orders_drinks_id = od.id
SET od.drinks = IFNULL(td.tot_drinks,0)
(NOTE: the IFNULL function is optional. I just used it to substitute a value of zero whenever there are no matching rows in items_drinks found, or whenever the total is NULL.)
This will update all rows (that need to be updated) in the orders_drinks table. A WHERE clause could be added (after the SET clause), if you only wanted to update particular rows in orders_drinks, rather than all rows:
WHERE od.id = 1
Again, to get to this, first get a SELECT statement working to return the new value to be assigned to the column, along with the key of the table to be updated. Once that is working, convert it into an UPDATE statement, moving the expression that returns the new value down to a SET clause.
I am trying to update the status of a column, by checking two joined tables. Even though I dont get an error. The colum is not updating. I want to take the general blockplot id and see if there is a transaction that matches and or a a container. If there is a transaction but no container i need to mark it as P.
UPDATE (general
LEFT JOIN
transactions
ON
general.blockplotid=transactions.blockplotid)
LEFT JOIN
container
ON
general.blockplotid=container.blockplotid
SET general.lotstatus = 'P'
WHERE general.lotstatus != 'U' AND
transactions.id_transaction IS NOT NULL AND
container.id_container IS NULL
So summarize, I have 3 tables. I only want to update one colum in one table. I want to check for values in the other two tables, their values depend upon the set value. The three tables are connected with a primary key to foreign key.
When I do a double join select statement. The query seems correct.
SELECT transactions.blockplotid AS blockplotid_2, container.blockplotid AS blockplotid_1, general.blockplotid, general.lotstatus, container.id_container, transactions.id_transaction
FROM ((general LEFT JOIN transactions ON general.blockplotid=transactions.blockplotid) LEFT JOIN container ON general.blockplotid=container.blockplotid)
ORDER BY general.blockplotid ASC
However it seems as though the join for the update isnt like the select.
This query seemed to work:
This query worked:
UPDATE ((general LEFT JOIN transactions ON transactions.blockplotid=general.blockplotid) LEFT JOIN container ON container.blockplotid=general.blockplotid)
SET general.lotstatus='P'
WHERE general.blockplotid!='U' AND container.id_container is null AND transactions.id_transaction is not null
The difference here is the case of IS NOT NULL and also the order of the where condition.
Is there any explanation for this?
I suspect the parentheses/locations of the joins. Try a setup like this:
UPDATE
Table1
SET
Table1
. Field1 = StagingTable . Field1
FROM
Table1
INNER JOIN StagingTable
ON Table1 . Field2 = StagingTable . Field2
WHERE
StagingTable . Field3 IS NOT NULL
I would suggest restructuring your UPDATE statement to have an embedded SUB-SELECT. update general set lotstatus = (SELECT .... WHERE .... )