Started off using this query to update data in the same table:
update INVENTORY
set billtoorg_id =
(
select
dist.BillToOrg_id
from
INVENTORY as inv,
contacts as cntc,
distributors as dist
where
inv.f_contact_id=cntc.contact_id
and cntc.f_dist_id=dist.dist_id
)
where
f_contact_id is not null
and f_product_id = 7
and BillToOrg_id is null
I found out that this won't work because in MySQL I can't use the same table in the query that I use in Update. So, I created a sub-query (see below) but now I'm getting error that indicates that the subquery returns more then 1 row.
update inventory
set billtoorg_id =
(
select
BillToOrg_id
from
(
SELECT
dist.BillToOrg_id
from
inventory as inv,
contacts as cntc,
distributors as dist
where
inv.f_contact_id=cntc.contact_id
and cntc.f_dist_id=dist.dist_id
) as I2
)
where
f_contact_id is not null
and `f_product_id` = 7
and `BillToOrg_id` is null
Can someone suggest a way to get this done? I'm new to SQL and I'm not sure I'm constructing the whole thing properly.
Looks like you want to se the billtoorg_id to be what is in the distributors table matched through contacts table. If you are trying to update more than 1 row at a time, your technique won't work.
Try:
update inventory as inv inner join contacts as cntc on inv.f_contact_id= cntc.contact_id
inner join distributors as dist on cntc.f_dist_id=dist.dist_id
set inv.billtoorg_id = dist.billtoorg_id
where
inv.f_contact_id is not null
and `inv.f_product_id` = 7
and `inv.BillToOrg_id` is null
edited as I think inner join will be better.
Related
I am trying this query built from findings in various guides and other stackoverflow questions:
UPDATE `characters`
SET `level`, `xp`, `taximask` = (SELECT `level`, `xp`, `taximask`
FROM `characters`
WHERE `guid` = 111) WHERE `name` = 'targetname';
In this example i want to copy the contents of the level, xp and taximask columns from the row where the guid matches 111 to the row where name matches targetname. Both in the same db/table.
Since the 3 columns are just placeholders for a query where i need to copy 25+ columns, i am looking for a way to make the query work and possibly shorten it.
Here is the working solution i got from a friend:
UPDATE `characters` AS t1
INNER JOIN `characters` AS t2 ON t2.guid = 111
SET t1.level = t2.level, t1.xp = t2.xp, t1.taximask = t2.taximask
WHERE t1.`name` = 'targetname';
I have below query in mysql where I want to check if branch id and year of finance type from branch_master are equal with branch id and year of manager then update status in manager table against branch id in manager
UPDATE manager as m1
SET m1.status = 'Y'
WHERE m1.branch_id IN (
SELECT m2.branch_id FROM manager as m2
WHERE (m2.branch_id,m2.year) IN (
(
SELECT DISTINCT branch_id,year
FROM `branch_master`
WHERE type = 'finance'
)
)
)
but getting error
Table 'm1' is specified twice, both as a target for 'UPDATE' and as a
separate source for data
This is a typical MySQL thing and can usually be circumvented by selecting from the table derived, i.e. instead of
FROM manager AS m2
use
FROM (select * from manager) AS m2
The complete statement:
UPDATE manager
SET status = 'Y'
WHERE branch_id IN
(
select branch_id
FROM (select * from manager) AS m2
WHERE (branch_id, year) IN
(
SELECT branch_id, year
FROM branch_master
WHERE type = 'finance'
)
);
The correct answer is in this SO post.
The problem with here accepted answer is - as was already mentioned multiple times - creating a full copy of the whole table. This is way far from optimal and the most space complex one. The idea is to materialize the subset of data used for update only, so in your case it would be like this:
UPDATE manager as m1
SET m1.status = 'Y'
WHERE m1.branch_id IN (
SELECT * FROM(
SELECT m2.branch_id FROM manager as m2
WHERE (m2.branch_id,m2.year) IN (
SELECT DISTINCT branch_id,year
FROM `branch_master`
WHERE type = 'finance')
) t
)
Basically you just encapsulate your previous source for data query inside of
SELECT * FROM (...) t
Try to use the EXISTS operator:
UPDATE manager as m1
SET m1.status = 'Y'
WHERE EXISTS (SELECT 1
FROM (SELECT m2.branch_id
FROM branch_master AS bm
JOIN manager AS m2
WHERE bm.type = 'finance' AND
bm.branch_id = m2.branch_id AND
bm.year = m2.year) AS t
WHERE t.branch_id = m1.branch_id);
Note: The query uses an additional nesting level, as proposed by #Thorsten, as a means to circumvent the Table is specified twice error.
Demo here
Try :::
UPDATE manager as m1
SET m1.status = 'Y'
WHERE m1.branch_id IN (
(SELECT DISTINCT branch_id
FROM branch_master
WHERE type = 'finance'))
AND m1.year IN ((SELECT DISTINCT year
FROM branch_master
WHERE type = 'finance'))
The problem I had with the accepted answer is that create a copy of the whole table, and for me wasn't an option, I tried to execute it but after several hours I had to cancel it.
A very fast way if you have a huge amount of data is create a temporary table:
Create TMP table
CREATE TEMPORARY TABLE tmp_manager
(branch_id bigint auto_increment primary key,
year datetime null);
Populate TMP table
insert into tmp_manager (branch_id, year)
select branch_id, year
from manager;
Update with join
UPDATE manager as m, tmp_manager as tmp_m
inner JOIN manager as man on tmp_m.branch_id = man.branch_id
SET status = 'Y'
WHERE m.branch_id = tmp_m.branch_id and m.year = tmp_m.year and m.type = 'finance';
This is by far the fastest way:
UPDATE manager m
INNER JOIN branch_master b on m.branch_id=b.branch_id AND m.year=b.year
SET m.status='Y'
WHERE b.type='finance'
Note that if it is a 1:n relationship the SET command will be run more than once. In this case that is no problem. But if you have something like "SET price=price+5" you cannot use this construction.
Maybe not a solution, but some thoughts about why it doesn't work in the first place:
Reading data from a table and also writing data into that same table is somewhat an ill-defined task. In what order should the data be read and written? Should newly written data be considered when reading it back from the same table? MySQL refusing to execute this isn't just because of a limitation, it's because it's not a well-defined task.
The solutions involving SELECT ... FROM (SELECT * FROM table) AS tmp just dump the entire content of a table into a temporary table, which can then be used in any further outer queries, like for example an update query. This forces the order of operations to be: Select everything first into a temporary table and then use that data (instead of the data from the original table) to do the updates.
However if the table involved is large, then this temporary copying is going to be incredibly slow. No indexes will ever speed up SELECT * FROM table.
I might have a slow day today... but isn't the original query identical to this one, which souldn't have any problems?
UPDATE manager as m1
SET m1.status = 'Y'
WHERE (m1.branch_id, m1.year) IN (
SELECT DISTINCT branch_id,year
FROM `branch_master`
WHERE type = 'finance'
)
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.
Modified some stuff from my pic so you guys can understand it
I have this database. I am trying to update a value from a table based on another value from an another table.
I want to update the SUM from salary like this :
( sum = presence * 5 )
This is what I've been trying to use ( unsuccessful )
update table salary
set suma.salary = users.presence * 5
FROM salary INNER JOIN users1 INNER JOIN presence on id_salary = id_presence
I am not sure what to do, I'd appreciate some help, Thanks
In MySQL to UPDATE tables with a join you use this syntax:
UPDATE table1, table2
SET table1.column = some expression
WHERE table1.column = table2.column
That said, even with the updated picture, in your SQL you are mentioning columns that I cannot understand in which table are to be found. You also have an inner join between salariu and users1, with no join condition. Could you please clean up the question and make everything clear?
Assuming you are making the updates to the db structure you were talking about, then you can start working on this one maybe:
UPDATE salary, presence
SET salary.sum = SUM(presence.hours) * 5
WHERE presence.id = salary.id
AND <some filter on the month that depends on salary.date>
Another way, but I'm not sure it is supported in all RDBMS, would be something like this:
UPDATE salary
SET sum = (
SELECT SUM(presence.hours) * 5
FROM user, presence
WHERE presence.id = salary.id
AND <some filter on the month that depends on salary.date>
)
Hello i need to perform the following query
Query
update Taxonomy
set sourceId = (
select id from TaxonomyMapping a where a.oldId =
(
select cm.en_ID
from TaxonomyMapping ta
join CategoryMapping cm on ta.oldId = cm.language_ID where ta.oldId = oldId limit 1
)
) where id > -1;
The tables are as following:
Taxonomy(id, oldId, sourceId, name, language)
TaxonomyMapping(id, oldId, sourceId, name, language) Exact copy of Taxonomy
CategoryMapping(en_ID, language_ID)
What im trying to accomplish
The original taxonomy table has got categories in a certain language there are translations of it, but the need they are known in Category mapping, now i need to add the english translation to the sourceId, Can somebody help me with this? at the moment it fills one id for all im suspecting that the oldId(ta.oldId = oldId) i use is not the oldId of the table to update. Is it possible to do a query like this or should i search for another solution?
I have placed the same question in dba.stackexchange.com the answer given to me was the right one this was the query i was looking for:
UPDATE Taxonomy t
JOIN CategoryMapping cm ON cm.language_ID = t.oldID
JOIN (SELECT * FROM Taxonomy) x ON x.oldID = cm.en_ID
SET t.sourceId = x.id
WHERE t.id > -1;
source: https://dba.stackexchange.com/questions/50981/mysql-update-query-with-subquery