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Slow Update Query


I have about 2000 update queries to do, which takes about 1 hr on 250,000 rows.
My table is getting kinda slow here is the query i am using
UPDATE nametable SET
sectionname = replace(sectionname,'".$oldsec."','".$sec."'),
categoryname = replace(categoryname,'".$oldcat."','".$cat."'), published=Ƈ'
where sectionname='".$oldsec."'
and categoryname='".$oldcat."' ;

I am wondering if the same thing is possible with an insert... on duplicate key statement?

I cant seem to get the insert statement to work, but not even sure whether it is appropriate.

With this query I am basically finding and replacing some columns based upon another table (within the php script I am using)




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SQL Code:
# Query_time: 2  Lock_time: 0  Rows_sent: 27  Rows_examined: 958SELECT `p_id` FROM `products` LEFT JOIN `products_images` ON (`p_id` = `pi_pid`) WHERE `pi_image_mime` IS NULL AND `p_archived` = '0' GROUP BY `p_id`;

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and a desc generates this:

SQL Code:
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I'm not that great with MySQL...so I was hoping someone could help me out.
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The most obvious difference, and what I suspect might be the problem, is that the first three tables have between 150 and 1,000 records, the fourth table has closer to 15,000. Still, there isn't that much lag when I'm pulling from the smaller tables, and the lag is really serious when I'm pulling from the larger one; I ran three queries last night to test, and I could pull data from the smaller tables in about 5 minutes, but the larger table took 4.5 hours- possibly because it was joined with two other tables, but the joins on the smaller tables didn't cause this kind of problem.

The second obvious difference is the fact that I'm pulling from a MyISAM table into a federated table... from which I would like to store into an InnoDB table, but it ends up timing out quite a bit.

Connecting to the database I've federated to isn't a problem. It responds to a PHP frontend lightning-fast. It's just my federated tables that suck so bad. I wouldn't even use federated tables, but I need to pull from the MyISAM database for storing historical records of inventory. What am I doing wrong, and what can I do to speed things up?

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My first attempt took an age and returned about 10,000 members, clearly loads of repeated rows

My 'final' attempt with a DISTINCT shoved in works perfectly but is really slow, PHPAdmin says it takes 1.1s but on the website the data doesn't appear for over 30s, all the other sundry queries on the same table work nice and quick on the same website using the same php to generate the table of results

The googling I've done suggests (to me) that there's nothing wrong with the query but I suspect that there's far too much checking of fields going on from the pre DISTINCT query's results ....

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Mysql 5.0 - Using My.cnf - Unix / Slow-query-log
I installed mysql 5.0 and need to set up slow-query-log and other logging options.

Here is what I did. But I dont see it working yet.

1. cd /var/db/mysql
2. chown mysql slowquery.log
3. touch /usr/local/etc/my.cnf
4. chown mysql /usr/local/etc/my.cnf

vi my.cnf

[mysqld_safe]
-u mysql
--log-slow-queries=/var/db/mysql/slowquery.log

so now when I type:

mysqladmin shutdown
and than

mysqld_safe &
my sql restarts but the log files are not being used.
also - how do I know if my my.cnf is being used at all?

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Turning On Slow Query Logging?
Background: I paid a young admin set me up on a database server. He installed the basic I needed for the server...at my request...No Cpanel...mysql and apache and some tight security w/o even a domain name to SSH into. Unfortunately, he's a busy kid, and teens sometimes don't realize that people depend on them...and well, I can't really seem to get him to do much so I gave up and figured it's a good way to force me to learn all this myself...
Well anyway, now I want to turn on Slow Query logging. But before I do that, I need to know how MySQL is running. Is SQLogging turned on already? Where is it logging to? So first thing I want to look up is, when the server is rebooted, what's the command to restart mysql? No clue. How do I change the setting? And of course, the server is production, so when I make the change, it needs to be quick, it needs to be smooth, and I need to be able to roll back to the previous config if necessary.
I'm running Redhat Enterprise.

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Slow Query W/ Join & Ordering
I am trying to figure out why I have a hugely slow query (~2 seconds in my testing environment). Details are below:

It involves two tables, products and vendors.

Products is a huge table, so I will only include the (ostensibly!) relevant fields in its description:

CREATE TABLE `products` (
`id` int(11) NOT NULL auto_increment,
`vendor_id` smallint(6) NOT NULL default Ɔ',
`product_code` varchar(255) NOT NULL default '',
`internal_name` varchar(255) NOT NULL default '',
`lastmodified` timestamp NOT NULL default CURRENT_TIMESTAMP on update CURRENT_TIMESTAMP,

PRIMARY KEY (`id`),
UNIQUE KEY `product_code` (`product_code`),
KEY `vendor_id` (`vendor_id`)
) ENGINE=MyISAM;
Vendors are much more straightforward:



CREATE TABLE `vendors` (
`id` smallint(6) NOT NULL auto_increment,
`name` varchar(255) NOT NULL,
PRIMARY KEY (`id`)
) ENGINE=MyISAM;
The following query executes in no MORE than 0.01 seconds:


SELECT DISTINCT p.id
, p.product_code
, unix_timestamp(p.lastmodified) as lastmodified
, p.internal_name
FROM products as p
ORDER BY p.product_code ASC
LIMIT 0, 30;
And has the following attributes:

+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
| 1 | SIMPLE | p | index | NULL | product_code | 257 | NULL | 25124 | Using temporary |
+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
When I join with the vendors table, so that I can fetch the vendor's name for each product, I use the following query, which takes about 1.88 seconds:



SELECT DISTINCT p.id
, p.product_code
, unix_timestamp(p.lastmodified) as lastmodified
, p.internal_name
, v.name as vendor_name
FROM products as p
LEFT JOIN vendors as v ON v.id=p.vendor_id
ORDER BY p.product_code ASC
LIMIT 0, 30;
It has the following characteristics:

+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
| 1 | SIMPLE | p | ALL | NULL | NULL | NULL | NULL | 25124 | Using temporary; Using filesort |
| 1 | SIMPLE | v | eq_ref | PRIMARY | PRIMARY | 2 | te_inventory.p.vendor_id | 1 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
Note the addition of the filesort. I'm unhappy enough about the temporary, which I don't really understand, but the filesort is, I'm fairly sure, killing me.

Closer investigation (or maybe just common sense if you aren't a MySQL newbie like me) shows that the ORDER BY clause is responsible, for when I join without the ORDER BY, my query time goes back down to 0.01 seconds or so:



mysql> explain SELECT DISTINCT p.id
-> , p.product_code
-> , unix_timestamp(p.lastmodified) as lastmodified
-> , p.internal_name
-> , v.name as vendor_name
-> FROM products as p
-> LEFT JOIN vendors as v ON v.id=p.vendor_id
-> LIMIT 0,30;
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
| id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
| 1 | SIMPLE | p | ALL | NULL | NULL | NULL | NULL | 25124 | Using temporary |
| 1 | SIMPLE | v | eq_ref | PRIMARY | PRIMARY | 2 | te_inventory.p.vendor_id | 1 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
Any clues on how I can get the execution time to go down when I am sorting? I'm also curious why MySQL is using a temporary table,

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The main SQL query to create the list often is showing up in the MySQL Slow_query log and I'm pretty sure is the main cause for the page loading slow.

I am no mysql Guru, so I thought I would seek the advice of some to improve or totaly rewrite this slow query.

PHP

$sql = "SELECT     
    f.forum_id, f.forum_name, t.topic_title, t.topic_id, t.topic_last_post_id, t.topic_poster, t.topic_views, t.topic_replies, t.topic_type,
    p2.post_time, p2.poster_id,
    u.username as last_username,
    u2.username as author_username
FROM "
    . FORUMS_TABLE . " f, "
    . POSTS_TABLE . " p, "
    . TOPICS_TABLE . " t, "
    . POSTS_TABLE . " p2, "
    . USERS_TABLE . " u, "
    . USERS_TABLE . " u2                
WHERE
    f.forum_id NOT IN (" . $forumsignore . $glance_recent_ignore . ")
    AND t.forum_id = f.forum_id
    AND p.post_id = t.topic_first_post_id
    AND p2.post_id = t.topic_last_post_id
    AND t.topic_moved_id = 0
    AND p2.poster_id = u.user_id
    AND t.topic_poster = u2.user_id
ORDER BY t.topic_last_post_id DESC";
$sql .= ($glance_recent_offset) ? " LIMIT " . $glance_recent_offset . ", " . $glance_num_recent : " LIMIT " . $glance_num_recent;


The "NOT IN" list varies per user, but here is an example:
NOT IN (77,75,76,25,26,37,63,64,66,67,67,1,25,26,37,70,28,75,76,78)

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long_query_time = 1
log-slow-queries = /var/lib/mysql/slow_queries.log
Is the above syntax not correct for enabling slow query logging? All examples I've seen have the dashes in the second variable and underscores in the first.

When I restart MySQL with those lines in my.cnf, it fails to start, but writes nothing to its error log.
/var/lib/mysql/slow_queries.log exists, is owned by mysql, and has read/write permission.

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My question is, is it possible for me to increase the performance for the 1 table some how instead of resorting to separating the data into multiple tables? Is MySQL the right DB for this kind of setup, would MSSQL or PostgreSQL perform better for larger sets of data? I'm not sure how MySQL 5 clustering works,

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Large Table, Slow Query Question
I have a table with ~800,000 records. I need to grab random rows from the table based on certain criteria. The problem is that average lowest subset to grab the random row is around 200k. Here is what I'm trying to do:

There are 4 columns: data,n1,n2, and n3. I need to get the value of the data column based on criteria using the n1-n3 columns.

The most common query is SELECT data FROM table WHERE n1 = ?

The problem is that n1 can be only 1 of 5 possiblities. When the table is finished being populated there will be roughly 1.5 million records and 250k for each value of n1. Of course, I have an index on each n column.

Right now with just the 800k records it can take over a second, sometimes multiple seconds to run the following in order to get a random row from that subset:

SELECT COUNT(1) AS total FROM table WHERE n1 = 3;
index = random number from 1 to total
SELECT data FROM table WHERE n1 = 3 LIMIT index,1;

How can I speed this up? I need it to take less than half a second if possible. Thank you.

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SELECT tbl1.a, tbl2.b
MATCH (tbl1.a)
AGAINST (
'someValue'IN BOOLEAN MODE
) AS score
FROM `a` , `b`
WHERE tbl2.b = 'someRestriction'
ORDER BY score DESC, b.tbl1 DESC LIMIT 20

but because there are thousands of rows it takes ages to do both of the orders, however just : ORDER BY score LIMIT 20 -- is really quick
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is it possible rearrange a constantly updated database so that its naturally ordered by b.tbl1 (so there will be no need to do the ORDER BY b.tbl1 query each time), or are there any other methods to speed this up (putting it all in one table instead of 2, is that significant?)

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1.I have one site running from last 3 years with large database and there is one main table which has maximum load.

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I have tried all, compared the structures of the data and table but still the query result is too slow on live testing sever. While same query in main site of same server is running perfectly.

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It is an INNODB table.

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VER VERY VERY Slow MySQL Query HELP URGENTLY NEEDED
I have the following MySQL query, but it is VERY VERY slow and seems to be crashing the server. There are 300,000+ records in the 'tracker' table.

SELECT sites.*, SUM(if(tracker.type='view',1,0)) AS numberOfViews, SUM(if(tracker.type='click',1,0)) AS numberOfClicks, SUM(tracker.revenue) AS totalRevenue FROM sites LEFT JOIN tracker ON tracker.site_id = sites.id GROUP BY sites.id ORDER BY sites.domain_name


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Why Does The Slow Query Log Show More Rows Than Exist?
# Time: 070528 17:14:57
# User@Host: counter[counter] @ localhost []
# Query_time: 3 Lock_time: 0 Rows_sent: 7 Rows_examined: 120647
SELECT SQL_CACHE `webpageUrl`, `webpageName`, COUNT(*) AS `count`, (COUNT(*) / (SELECT COUNT(*) FROM _1_log)) AS `pct` FROM _1_log GROUP BY `webpageUrl` ORDER BY `count` DESC LIMIT 7;

mysql> select count(*) from _1_log;
+----------+
| count(*) |
+----------+
| 111824 |
+----------+
1 row in set (0.00 sec)

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Slow Execution For A Left Outer Join Query
Whats likely to be the cause of slow execution for a left outer join query?

The original query joins three tables but even if I narrow it down to one it still takes a long time to execute.

$query = "select distinct materials.* from materials";
$query .= " left outer join materials_products on materials.material_id = materials_products.material_id";

There's 914 rows in the materials table and 1348 row in the materials_products table

Is it likely to take a long time for this amount of data or is there likely to be a problem in the table(s) set up or query?

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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.

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Update Query.
I have 2 tables.

BOOKCHAPTERS (book_id,chapter_id)

CHAPTERS(chapter_id,chapter_name,chapter_location)

I want to be able to update the name (chapter_name) of chapters given a book_id. The chapter_id for each book is simply and auto-incremented column.

I currently have the following queery which doesnt seem to work.

Code:


update chapters c, bookchapters bc set c.chapter_name = ?, c.chapter_location=? where bc.book_id = ? and c.chapter_id=? and bc.chapter_id = c.chapter_id;


Now I know you're gonna say 'What's the value of all the prepared values' but I just want to know if the syntax for the query is ok.

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Update IN Query
Code:

UPDATE SET COUNT=COUNT+1 IN WHERE SELECT
sponsor,mstatus, count( username ) from customer Group by
sponsor DESC Having count( username ) = 2

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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?

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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.

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Update Value Directly In The Same Query
Is it possible to update a value directly, adding text to it, without getting it first, adding the text in php and then do the update.

for example:
value in field users: ",45,"

and then adding ,34, to the field directly by doing something like:
update table set users='users,34,'

so the value in the field afterwards will be ",45,,34,"?

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Delete And Update In A Query
I have two query:

query1: DELETE FROM table1 WHERE id=1
query2: UPDATE table2 set qty=qty+'1' where code='cb123'

i want to execute that in single query?

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Embed Sum() Within Update Query
I'm currently rewriting my website to work with MySql rather than MSSQL and have stumbled across a bit of a problem. Can anyone help?

To create a simple example of what I'm trying to achieve - I have 2 tables. I wish to populate the SCORE in TABLEA with a sum of all SCORES in TABLEB where the CODE matches. TABLEA has a single row for each CODE but TABLEB may contain multiple rows (for different weeks).....

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UPDATE OR INSERT In One Query
Is there a way to UPDATE or INSERT a row into a table?

Like: "UPDATE INTO table SET value1 = value1 + 1 WHERE uniquekey = $criteria",
which will either update an existing row or create a new row, if the row doesn't already exist?
The other way would be to check, if there's already a row for $criteria, and then either UPDATE or INSERT the data.

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Maximum Query Update?
Is there a maximum amount of fields that you can update at once as run from php the following works:

UPDATE `members` SET
`firstname` = '$formfirstname',
`surname` = '$formsurname',
`usrlevel` = '$formusrlevel',
`usrname` = '$formusrname',
`grade` = '$formgrade',
`phone` = '$formphone',
`email` = '$formemail',
`comments` = '$formcomments'
WHERE `ID` = '1' LIMIT 1 ;


Yet the following does not and it only has one extra field to update:

UPDATE `members` SET
`firstname` = '$formfirstname',
`surname` = '$formsurname',
`usrlevel` = '$formusrlevel',
`usrname` = '$formusrname',
`grade` = '$formgrade',
`phone` = '$formphone',
`email` = '$formemail',
`drivingdate` = '$formdrivingdate'
`comments` = '$formcomments'
WHERE `ID` = '1' LIMIT 1 ;

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Help With Mass Update Query
I have a field in my table (1000 records) called company_number. I've just been informed that all records that start with "1" should actually start with "0". So, for a record where compnay_number = 1000400 the number should actually be 01000400. Can anyone suggest how I would approach updating each record via one SQL statement?

SELECT *
FROM `myTable`
WHERE `company_number` LIKE '%100%'
... then what?

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Stuck On Update Query
I am struggling with a SQL statement and hoped someone would be able to help

customer_depots
contacts

Each table contain fields called 'customer_depot_id' and 'address_id'.

What I want to do is update the address_id in the contacts table, with the value of the address_id in the customer_depots table, only where the customer_id values match in each table, AND the address_id in the contacts table is equal to zero.

Does this make sense?

So, update address_id in contacts,
where address_id in contacts = address_id in customer_depots
and address id in contacts = zero.

This is because a number of address_id's are missing from the contacts table, and I want to replace them with the correspondingvalue from the other table.

I have figured out a SELECT statement as shown below, but I need an UPDATE statement as explained above.

SELECT cd.ADDRESS_ID FROM customer_depots cd, contacts con WHERE con.CUSTOMER_DEPOT_ID = cd.CUSTOMER_DEPOT_ID AND con.ADDRESS_ID = 0

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Select And Update In One Query
My remoteurl table has 3 columns: id, hits and url.

PHP

UPDATE remoteurl SET hits=hits+1 WHERE id=2

SELECT url FROM remoteurl WHERE id=2

Instead of using two queries I want to use one query which could select url and update hits column. Is it possible?

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Help Optimizing UPDATE Query
I have 1 query in my script that is taking waaaaay too much time.

Is there a way that I can speed up or optimize this query?

Right now the query is taking about 600+ seconds to update 500 rows.

The Query

PHP

$update_from_sas_postmeta = "UPDATE wp_postmeta, sas_postmetaSET wp_postmeta.meta_value = sas_postmeta.meta_valueWHERE wp_postmeta.post_id = sas_postmeta.post_idAND wp_postmeta.meta_key = sas_postmeta.meta_key";$update_from_sas_postmeta_result = mysql_query($update_from_sas_postmeta) or die("MySQL ERROR (update_from_sas_postmeta_result): ".mysql_error());

The Tables

CREATE TABLE `wp_postmeta` (
`meta_id` bigint(20) NOT NULL auto_increment,
`post_id` bigint(20) NOT NULL default &#390;',
`meta_key` varchar(255) default NULL,
`meta_value` longtext,
PRIMARY KEY (`meta_id`),
KEY `post_id` (`post_id`),
KEY `meta_key` (`meta_key`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=294705 ;

CREATE TABLE `sas_postmeta` (
`meta_id` bigint(20) NOT NULL auto_increment,
`post_id` bigint(20) NOT NULL default &#390;',
`meta_key` varchar(255) default NULL,
`meta_value` longtext,
PRIMARY KEY (`meta_id`),
KEY `post_id` (`post_id`)
) ENGINE=InnoDB DEFAULT CHARSET=latin1 AUTO_INCREMENT=1 ;
Sample Data
2, 2, 'page_template', 'default'
3, 3, 'merchant_id', ?'
4, 3, 'merchant', 'SomethingSomething'
5, 3, 'link', 'http://www.website.com/link.html'
6, 3, 'thumbnail', 'http://www.website.com/thumbnail.jpg'

More Details
When the UPDATE query begins to run, the sas_postmeta table will have 500 records in it and the wp_postmeta table will have about 250,000 records in it.

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