Slow Update Query

Update Too Slow
I need to update 25 * 5000 records, if I do one at the time it takes too
long time, do any one have a good proposal ?

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Slow UPDATE
I have a table with the following structure;

CREATE TABLE my_table
(
id_1 int(11) NOT NULL ,
id_2 int(10) NOT NULL ,
stauts tinyint(1) NOT NULL DEFAULT 0 ,
PRIMARY KEY (id_1)
) Engine =InnoDB';


The table currently has arround 100,000 entries. When I try to run variations of the following statement it is taking around 4 seconds per query;

UPDATE IGNORE my_table
SET id_1 = 74240, id_2 = 5

I need it to be running a lot faster than 4 seconds per query as I need to update upwards of 100,000 records a day! My server is fairly beefy, a 3 gig dual core opeteron and is generaly running below 1.0 load.

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Slow Update
The following query can sometimes take up to 2.5 seconds to execute on a table with only 150,000 records.
UPDATE items SET item_views = item_views + 1 WHERE id = 5897;
is there any way I could speed this up? Some setting I could change to make MySQL faster for this?
The field "id" is the primary table key.

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UPDATE Function Very Slow??
I have a large table (77,321 Rows) and I'm trying to update it. For some reason, UPDATE takes a long time. Maybe it's my query? I'm doing it through php, maybe that's it? I'm running the program locally using the CLI, and it still takes ages.

Should I not expect it to be as fast as SELECT functions?

$update ="UPDATE `ch_products` SET `products_weight` = '".$IDS[$i][Weight]."' WHERE `xref1` = '".$IDS[$i][ID]."'";

How can I make this faster?

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Very Slow Update Statement
I am having an issue with an UPDATE statement that takes a very long time. I am using
1 table in a schema to update another table in another schema. Below are the create statements and the update statment I am using. Table and column names have been changed to protect the innocent :) Code:

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Very Slow Table Update
I have two tables. One is really a subset of the other. However, they came in different data files and I would like to pull data from one and put it into the other. However, it is VERY slow!

Once the tables are setup I will only read from them and perform operations. I will never update or insert. However, I can't get things setup to that point. Code:

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Slow Query
i have this query on a website/webapp that has expanded beyond all expectation. It now takes nearly 30secs to return results from the database

SELECT cl_t.Client_ID, Buyer_1_Title, Buyer_1_Prename,
Buyer_1_Surname, Tel_No, Mob_No, Buyer_2_Title,
Buyer_2_Prename, Buyer_2_Surname, Email_Add,
Price_Max, MAX(activity_t.Date) AS lastcomm
FROM cl_t
INNER JOIN cl_want_t
ON cl_t.Client_ID = cl_want_t.Client_ID
AND Agency_Code ='$agencyloggedincode'
AND Deleted = 'N'
LEFT JOIN activity_t
ON Buy_Sell = 'B'
AND Ref_No = cl_t.Client_ID
WHERE cl_t.Sales_Agent_ID = $agentid
GROUP BY cl_t.Client_ID
ORDER BY $order
The problem is the call to MAX(activity_t.Date) AS lastcomm

activity_t holds all known contact with all known clients and as such is a very large table, the call to search through all of these records and return only the date of the last entry for this client is taking the time. If I remove this from the query I get results in 3 seconds.

I have indexing on activity_t.Date & activity_t.Ref_No

Question, is there a way of doing this quicker within the table I already have, or should I create another table that just holds the last update date for each client, and get the date from this much smaller table.

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Why Is This Query Too Slow?
I find this query to be exceptionally slow(around 2.5 seconds), could some tell me why this is so?

MySQL
SELECT st.profile_views,count( DISTINCT p.ID ) news_submitted, count( DISTINCT pv.ID ) news_voted, count( DISTINCT pcom.ID ) news_commented, u.joined, u.weight FROM users u LEFT JOIN posts p ON p.submitted_user_id = u.user_id LEFT JOIN post_votes pv ON pv.user_id = u.user_id LEFT JOIN post_comments pcom ON pcom.user_id = u.user_id LEFT JOIN stats st ON st.user_id=u.user_id WHERE u.user_id='john' GROUP BY u.user_id
I traced the cause to this line
count( DISTINCT p.ID ) news_submitted (from LEFT JOIN posts p ON p.submitted_user_id=u.user_id)
But when i execute something like this

MySQL
SELECT count( DISTINCT p.ID ) news_submitted FROM posts WHERE submitted_user_id='john'
it is quite fast (around 0.03 seconds)
So why does it slow down when i'm joining the above query with 3 other tables ?
Should i use INTEGER for user_id instead of string like 'john'?

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Slow Query Log
my slow log is catching a slow query, however the timestamp for the query is "0". I also placed a timestamp on the query to echo out to the results page, and it is about 4 thousands of a second. Why is it showing in the slow log?

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Slow Query Using NOT IN
I am migrating a MSSQL server to MySQL. I know the following SQL is valid for both servers, but MSSQL finishes execution of the query almost instantly, and MySQL has been running the query for the past ten minutes and still is not finished. There is basically the same amount of data in each database. Does anyone know ....

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Slow Query
I have a query that is running really slow !!!!
I have joined on Key fields and indexed the tables fully but it is still solw.
--------------------------------------------

select d.id, a.signed, u.Forename, u.Surname, d.paid, p.date, d.payment, p.amount, d.acctual
from details d
join poten a
on a.id = d.id
left join recieved p
on d.id = p.id
left join users u
on a.signed = u.userid
where d.paid > '01-Dec-2005'
and d.authorrceived is not null
and d.authorrefused is null
and ((d.payment starting 'E' or
d.payment starting 'e') or
(d.payment starting 'Q' or
d.payment starting 'q' and
p.target = '500'))
order by d.paid, a.signed, d.id

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Slow Query Log Files
I have edited my.ini file to create a file called slow queries. My problem is that when the server starts up i do not get a full list of all slow queries. Is there anything else i need to change? How else can i come about in getting all queries that took a long time to execute? im using mySQL 5.0.9.

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Slow Query Log Not Staying On
I'm running MySQL 4.0.16 on Windows 2003. I just added the mysqld-nt
command line option to enable the slow query log, started MySQL, and the
option showed up as turned on. Then later I restarted the server, and the
slow query log option went back to being turned off. Is this a Windows
problem in not remembering the service parameter? Has anyone else seen
this?

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View Slow Query Log
I searched here, google and MySQL docs but did not find an answer.
I'm using MySQL-Front from a Windows platform to administer a remote database. The remote server doesn't have phpMyAdmin or anything like that.
MySQL-Front reports 133 Slow Queries and an average of 15 queries per second. But I dont' know how get more information than that.

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Query With 3.3million Rows Is Slow?
I'm not that great with MySQL...so I was hoping someone could help me out.
The query I'm running is too slow...can anyone tell me what I can do to
speed it up..if I can at all? I was wondering if because ZipListMatrix has
3.3 million rows that 8 seconds is all the faster it's going to be. Any
help is greatly appreciated! I have already "optimized" the tables.

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Can't Turn On Slow Query Logging
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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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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Help Rewriting A Slow Phpbb Query
I have a "glance" or "Recent Topics" list on my forums that have become fairly complex. I modified an already feature rich glance mod to allow users to select individual forums to exclude from showing topics in the list. As well when users are members of certain forum groups, they see topics from the group forum in the list, and they are highlighted a different colour.

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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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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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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Federated Tables Slow? (like 4.5 Hrs For A Query)
I've got a problem with federated tables. I'm using MySQL 5.1 (with InnoDB as the default table type) on a Win2K server, on which I've got four federated tables pointing at four MyISAM tables on a MySQL 4.1.11 server. Of the four tables, three of them run just fine, and I can retrieve data quickly with no problems. The fourth is a sheer pig. While they have different columns, all four tables are roughly as complex as each other, all having the same features and developed by the same team.

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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Slow Inefficent Query (FIXED)
I have this query which pulls members from a table of 1200 members details, filtering out those without and email address and those that don't want Newsletters, and also any whose email address exists in a second table (emails that have hard bounced previously)

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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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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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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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 a query question. I want to update a database that contains ips like 90.30.100.xxx. I only want to modify the third numer (100). Does anybody know how can i do this?

ex: i want to modify all ips from 90.30.100.xxx to 90.30.101.xxx. Notice if i had 90.30.100.100 i'd like to become 90.30.101.100

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Update Query
I'm selling tickets and I need to be able to reduce the total number of tickets when one is sold. I have a table with the total number of tickets stored in a field and and a field with the quantity sold in a particular purchase. I think this is a fairly simple update query can anybody help get me started?

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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

---

Update Query
I am trying to do a custom sortup/sortdown function in php on a mySQL basis. Now I got that prob:

I got a table, that has a "sort"-field for each data like that:

data | sort
a | 1
b | 2
c | 3
d | 4
e | 5

The output of the data is ORDER BY sort ASC. Now I want the users allow to change the "ranking"/"sorting" themselves that way, that they click e.g. on sort entry d one up.

So the new table should look like that:

a | 1
b | 2
c | 4
d | 3
e | 5

Does anyone know how to do that in one or only a few mySQL queries? I mean I could read out the whole table and then do a php-loop giving new sort-numbers to each data and then update every single data, but I guess there should be an easier way in mySQL. My prob is that I suck big time at mySQL

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UPDATE Query
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
I am using phpMyAdmin to update table rows where the short_descr field (text) contains no characters.
I can execute this:
SELECT * FROM download WHERE short_descr='';
But this gives me an error:
UPDATE download SET delete=1 WHERE short_descr='';

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Update Query
Code:

UPDATE users_tickets SET dateResponse=NOW() and Response='sgdgdsgdsfdsfds' WHERE ticketID='1'

i query the same database earlier in the code and it works fine. in phpmyadmin i tried editing it and it worked fine. this is the code phpmyadmin returns when you do it there
Code:

UPDATE `users_tickets` SET `Response` = 'mommy' WHERE `ticketID` =1 LIMIT 1 ;

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Update Query
i need a query to change my customers_id number from an example
1000549 to 500600 and i made this query that doesn'work :

UPDATE customers SET customers_id = '50%' WHERE customers_id = '100%'

i need to change the first 3 digits from 100 to 50 and the other numbers stays the same.

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Update Query
Here's my table set up:Code:

USERS user_id,firstname,lastname,tel,institution,email,username,password
BOOKS book_id, user_id*,created,author,subject,title,description
BOOKCHAPTERS chapter_id, book_id *
CHAPTERS chapter_id *, chapter_name, chapter_location

Im trying to update the chapter_name and chapter_location in the chapters table. The parameters I pass in seem to be ok, so I think it's the SQL update query below.
Have I done the update query correctly?Code:

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

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Update Query
Can we update row when there is an empty field?
here is an example (attached):

How can I update the x?
Let's say x = 6

Like:
UPDATE table
SET [all_empty_fields]='x'
WHERE [field_before_that] ='5';

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Update Query
I have the following query but I need some help on its structure (for example where do the joins come in):

update new_residence, new_respolis, new_district, new_person
set new_residence.respolis_id = new_respolis.id
where new_person.poll_number = new_respolis.prov_poll_num and
new_person.district = new_district.abbreviation and
new_respolis.prov_elect_dist_id = new_district.id and
new_person.id=1

I tried to run this query but it took forever to execute.

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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 Query Question
I want to update the col 'type' in one of my tables. I want to change the value from 4 to 5 in that col but the query i use below is not correct. Can anyone point me in the right direction?

Quote:

UPDATE &#55613;&#56984;'
SET type = &#395;'
WHERE type = &#394;'

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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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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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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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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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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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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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SELECT And UPDATE In One Query
Does there exist a way to do a SELECT and an UPDATE in one query?

What I am trying to do is building a shop that´s articles are saved in a mySQL db and I wanna count the impressions of each article that is shown by e.g. a search function.

would be something like that:

article no | text | category | impressions
1 | aaaa| 1 |1
2 | bdsd| 2 |1
3 | aaaa| 2 |1
4 | bdsd| 3 |1

and so on

now I want e.g. to search for all articles that are in category 2 AND add +1 to the impressions cell of those articles that are found.

I hope it´s understandable what I am trying to do. I guess it should be possible, but since I only so far used very simple queries I am not sure how to?

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