Update Query Between Two Tables
I am having a problem with getting an update query to work. here's what I am using:
Update stck Set vendor = 'items.vendor' where prtn = 'items.prtn'
I am getting a items table not found error. I thought this is what I needed to do to update many records from one table to another.
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Edit: Before anyone leaves this thread, don't be put off by the regular expressions! They are not the problem, so please stay and read. OK, this query has got my head spinning. I am basically creating a query that goes through each product in a table to update the stock for that particular item with that particular size (i.e. I am talking about shoes - different models and each model has different sizes (uk kids 12 -> uk 11). With each shoe it does (or is meant to do) the following: 1. The PHP script that runs the query is looping through every size outside of the query 2. So for each of these sizes it checks to see whether the product it is currently on matches the size it is on 3. When it finds the size it is on, it then deducts the correct number of units from the stock table 4. The final WHERE clause makes sure this subquery inside the UPDATE only happens when the StockUpdated field of the Product table equals 0 (in other words, the stock hasn't been counted before) Basically what I need to do, is first to make sure what I currently have got does the above correctly but also I need the query to UPDATE the StockUpdated field to 1 only when it has been updated successfully. How could I do this? Unfortunately I cannot just add an extra update entry to the end of the query as this would update the StockUpdated field regardless of whether it has been properly counted or not. Here is the query I have so far (with a little simple PHP around it doing the loop): PHP $shoesizes = array(1 => 'ukk12','ukk13','uk1','uk2','uk3','uk4','uk5','uk6','uk7','uk8','uk9','uk10','uk11'); $numshoesizes = count($shoesizes); for($i = 1; $i < $numshoesizes; $i++) { $stockupdate = " UPDATE heelys_stock,items_ordered SET heelys_stock.size_".$shoesizes[$i]." = (SELECT CASE WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?( )?(Kids)?( )?( )?(UK)?( )?( )?(Kids)?( )?( )?[^0-9]12( )?(' -- if UK Kids 12 THEN heelys_stock.size_ukk12 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?( )?(Kids)?( )?( )?(UK)?( )?( )?(Kids)?( )?( )?[^0-9]13( )?(' -- if UK Kids 13 THEN heelys_stock.size_ukk13 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]1( )?(' -- if UK 1 THEN heelys_stock.size_uk1 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]2( )?(' -- if UK 2 THEN heelys_stock.size_uk2 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]3( )?(' -- if UK 3 THEN heelys_stock.size_uk3 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]4( )?(' -- if UK 4 THEN heelys_stock.size_uk4 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]5( )?(' -- if UK 5 THEN heelys_stock.size_uk5 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]6( )?(' -- if UK 6 THEN heelys_stock.size_uk6 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]7( )?(' -- if UK 7 THEN heelys_stock.size_uk7 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]8( )?(' -- if UK 8 THEN heelys_stock.size_uk8 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]9( )?(' -- if UK 9 THEN heelys_stock.size_uk9 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]10( )?(' -- if UK 10 THEN heelys_stock.size_uk10 - (items_ordered.Amount/items_ordered.Price) WHEN SUBSTRING_INDEX(items_ordered.Product,',',-1) REGEXP '( )?(UK)?( )?[^0-9]11( )?(' -- if UK 11 THEN heelys_stock.size_uk11 - (items_ordered.Amount/items_ordered.Price) FROM items_ordered WHERE items_ordered.StockUpdated = 0) WHERE (heelys_stock.id = (SELECT heelys_stock.id FROM heelys_stock,heelys_shoe WHERE SUBSTRING_INDEX(items_ordered.Product,',',1) = heelys_shoe.full_shoe_name)) , items_ordered.StockUpdated = 1" // at the moment this last update of the items_ordered table happens to every record!!! even if the other part of query fails // update stock for size $i mysql_query($stockupdate); } Hope someone can see how I can do this? I've been working on this query for 2 or 3 hours now and I've been making reasonable progress but now I am really stumped.
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I need to do a global change to a column in my database. I know this is poor planning on my part, but I recently made a change to all of my image extensions for speed purposes. I have a column called thumbnail_path, and every value ends with .GIF. I would like to change them to all end in .JPG. How can I do this? Is this even possible to do in one update query? or will I need to select, parse w/ php and then update?
URGENT: Please Help Me With My ON DUPLICATE KEY UPDATE Query
Could you please help me do this quickly. I have a query: Quote: mysql_query("INSERT INTO products (id, title, brand) SELECT id, title, brand FROM prodse WHERE approved=1 ON DUPLICATE KEY UPDATE groupname=a") What I need it to do is that whne title and brand matches, it is then a duplicate listing. I have set up the unique key for this. When a duplicate listing is found it will then change the groupname value from "1" and update it with "a". When it then finds the next duplicate listing that has the same title and brand as the duplicate listing that had it's groupname changes to "a", I need it to be change to "b" this time. So I now have two listings that have a groupname of "a" and "b". Now when there is more duplicate listings that have the same title and brand as "a" and "b", I now need the groupname to be updated to the actual listings id and not use "a", "b", "c", etc... How can I do that. I know how I can do the first one so that it updates to 8, but then how would I do the 2nd and 3rd ones. Please help, I have to do this urgent as my database is really slow and it is damaging my site as it is taking about a minute or so to do each query. Also, I would prefer it if it could be done in one single query. I can also use variables in the query and if statements plus other php like Quote: mysql_query("INSERT INTO products (id, title, brand) SELECT id, title, brand FROM prodse WHERE approved=1 ON DUPLICATE KEY UPDATE groupname=$groupname")
QUERY One Table And Update Another In ONE Statement?
ZIP_CODE: zip_code latitude longitude customers: customer_id ... zip_code latitude longitude The lat and long in the customers table is blank. I want to lookup customers' zip code in the ZIP_CODE, get the related lat & long and update the customers table with that information. The result being that after this query is run, the customers table now has lat & long data.
How To Update Multiple Rows With One Query?
I am using PHP/MySQL and need to update 7 rows with one query. Can someone tell me how to do the following so it will update the row for each day of the week? (This obviously doesn't work) $sql = "UPDATE business_hours SET hours='$sunday' WHERE id='$id' AND day='sunday' AND SET hours='$monday' WHERE id='$id' AND day='monday'";
Optimize UPDATE Query With Subquery
Users(users_id,...,pictures_average_grade) - 5,000 rows Pictures(..,average_grade,users_fk) - 50,000 rows One User can have many pictures. Each picture have average_grade which is being continually changed. Once a day i would like to compute for each user average grade of his pictures and update column. users.pictures_average_grade. I wrote the following query: UPDATE users AS u SET u.pictures_average_grade= (SELECT AVG(average_grade) FROM pictures WHERE users_fk=u.users_id). The problem is that the query is being processing very long (after 15 minutes i resing and stop the query).
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