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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Update With Subquery?
I have two tables and I want to update one with data from the other TableA id description date TableB id counter date I want to update counter in TableB with its current value minus a count from tableA UPDATE TableB set counter = counter - (SELECT count(id) WHERE description = 'blabla') But I only want to do this on the date columns are equal. For example date in TableB is 2007-03-13, and counter should be updated with its value minus the selection from TableA where date is the same. But I want to do this on all rows for all dates in one query. How do I do that? Add a where to the subquery ie "WHERE TableB.date = TableA.date"? Is that correct?
How Can I Optimize This Query?
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Optimize Query
What indexes are required to speed up the following query. SELECT COUNT(*) AS cnt FROM company WHERE state = 'Maharashtra' AND city = 'MUMBAI' AND companyName REGEXP '^D' GROUP BY parentid;
Optimize Query
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I Need Help With A Query/subquery Tangle
I started out trying to do everything at once and really ran into problems (5 tables! my head hurts), so i broke the original query in half to get: $query ="SELECT members.id, members.lname, members.fname, member_email.email, member_phone.phone, committees.id, committees.name, committees.description, committees.chair_id, committees.staff_id, staff.phone, staff.email, staff.id, staff.name FROM committees, staff, members, member_email, member_phone WHERE committees.name='Test' AND members.email_id=member_email.id AND members.phone_id=member_phone.id AND staff.id=committees.staff_id AND members.id=committees.chair_id"; //ORDER BY members.lname DESC $result= mysql_query($query) or die ("could not retrieve information"); ............
Need To Use Same Table In Subquery As In Insert Query
I have this table called "testtab": ID | value ---------- 1 | 8 2 | 15 3 | 5 Field ID is INT autoincrement as usual for ID field, field value is common INT. I need to insert new record to it. The inserted value should be equal to the highest value +1. I tried to do something like this: INSERT INTO testtab SET value=(select max(value) from testtab)+1 Mysql threw this error: You can't specify target table for update in FROM clause I searched internet and found that I cannot use the same table in a subqery of insert/delete/update query. So my question is: Is here some workaround for this? I know I could use two queries - one to find the maximum value and second to insert the value+1 into DB, but I would like to do it in a single query.
Question W/ SELECT Query - Need A Subquery?
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Query With Row Being Used To Identify Database In A Subquery
- FOODS - id | food 1 | taco 2 | burrito and the following tables named taco and burrito - TACO - id | food_name 1 | soft taco 2 | hard taco - BURRITO - id | food_name 1 | fried burrito 2 | super good burrito I want to be able to create a query that will select the id from foods and then use the food row to determine which database to use in a subquery. select id, (select food_name from taco.my_food) from foods; The taco part that is red in the query above is where i need to pull the reference from the foods table in the food row. (please keep in mind this is a super generalized version of the query, so there are no where statements,
Complex Query - UPDATE Within UPDATE?
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.
Subquery Or Correlated Subquery Help
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Update Query
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Select TransType FROM TransTypeMapping WHERE vTransType=”CANCEL”, into array[0] For each record from MainTable where TransactionCode = TransType.array[0], Find record[1] where record[0].Category= record[1].Category and record[0].Units1 = record[1].Units1 Action: Set fields in MainTable, record[0].vCancel = T; record[0].vMatchingTransID = record[1].vTransID Set record[1].vCancel = T; record[1].vMatchingTransID = record[0].vTransID
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Update Query
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Update Query
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Update Query.
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Slow Update Query
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Update Query Question
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Stuck On Update Query
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Select And Update In One Query
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Help Optimizing UPDATE Query
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SELECT And UPDATE In One Query
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Multiple Update In 1 Query
I am trying to do the following using PHP and Mysql: $sql=" UPDATE records set appear_order='2' WHERE id='19'; UPDATE records set appear_order='3' WHERE id='17'; UPDATE records set appear_order='4' WHERE id='18'; UPDATE records set appear_order='5' WHERE id='20'; UPDATE records set appear_order='6' WHERE id='16'; "; I am getting the following error message: " Cannot update records: 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 'UPDATE records set appear_order='2' WHERE id='19'; UPDATE recor" I don't know why this isn't working. when I paste this query to phpMyAdmin (I hope you guys know phpMyAdmin) - it works. somehow using a PHP code it does'nt - I get that error message. did anyone every come across this error and knows how to overcome it?
Msql Update Query
I am trying to tie a mySQL UPDATE query to a variable in php to determine whether or not the query updated any rows or not. All it returns is whether or not the query was successfully executed. I have tried using the mysql_affected_rows() command, but as there are multiple users performing the same action this could lead to ambiguous results.
What Does OPTIMIZE Do
I use phpMyAdmin and constantly see the OPTIMIZE TABLE option on the structure page with a number of bytes highlighted. You press the button and the bytes are gone! Great!!! But what exactly did that just delete? Should you optimize or just leave the databases as they are? Is there a chance of corrupting the data in a table when you run this?
Optimize This Sql
optimize this sql SELECT DISTINCT(ibf_posts.author_id), ibf_topics.* FROM ibf_topics LEFT JOIN ibf_posts ON (ibf_topics.tid=ibf_posts.topic_id AND ibf_posts.author_id=25869) WHERE ibf_topics.forum_id=4 and ibf_topics.approved=1 and (ibf_topics.pinned=1 or ibf_topics.last_post > 0) ORDER BY pinned DESC, last_post DESC LIMIT 0,30 .
Optimize
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ON DUPLICATE KEY UPDATE And Query Cache
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Slight Problem With Update Query, Please Help!
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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'";
Update A Set Of Records In One Single Query
My records contain a position, from 1 to n. This position is not the primary key. In normal conditions, the position of this records should be as follows: 1, 2, 3, 4, 5, 6, 7, 8, 9 . etc... One of my utitities is meant to check the consistency of the table - one of the things it has to do is scan the table as follows: SELECT position FROM employe_records WHERE employe_id = ? ORDER BY position From the result of this query I verify each entry (JDBC) one by one, looking for inconsistancies. In a for() loop I look at the value of position and check that they start from 1 and are incremented by one for each record. At the first inconsistency I come accross I want to run a query to update the records so it is consistant again - it is something like this: UPDATE employe_records SET position = updatedValue FROM employe_records WHERE employe_id = ? ORDER BY position This is not valid query of course - my question is what should my query look like?! How can I make 'updatedValue' incremented by one automatically so each of the records are updated from 1 to n.
Convert UPDATE Query To INSERT
I have an SQL dump file of a sql database that was generated with the UPDATE export type. The file contains code for generating the various tables inside the database along with the UPDATE lines for the table data. Is there a way to process the dump file such that all of the UPDATE instructions are converted to INSERT instructions? I have to restore the database from scratch so there are no existing table rows to update.
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