MYSQL :: 815,000+ Records, DB Table Query Too Slow

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 SELECT Query INNODB Table
I have a couple hundred connections doing "SELECT [Char36 Field], [LongLong Field], [Long Field] FROM [Connection Specific Table] WHERE [NonIndexed VarChar36 Field]=[Value]". Notice that the table the select statement is being called on is unique to each connection. These tables have less than 10000 records, but this statement can sometimes take over an hour to execute.

It is an INNODB table.

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Insert Table Records Without Typing Query?
I'm a MySQL newbie but no stranger to Microsoft SQL Server. I'm primarily used to using Microsoft SQL Server via SQL Enterprise Studio, so I'm liking the MySQL Administrator GUI as it has a familiar feel to it.

One question (so far): in SQL Enterprise Studio, I could open a database table and insert a record simply by typing in the GUI grid (or by pasting a record from my clipboard). In MySQL Administrator, I don't see a way to do that. Is it not even possible? If not, I'll stop looking - but if there is a way to do so, I'd love to know.

For example, I'd like to be able to copy a record from an Access database or even an Excel file, and paste it into a MySQL table - not have to write an insert query and execute it.

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Optimizing Slow Queries On Millions Of Records
I have a table that has millions of records in it.
About 100 records are added every 5 minutes (one per OIDID) (the sample
provided below has data for 2 OIDIDs (99 and 100)
And I have a webpage that executes 9 queries one after the other, and then
displays the results on the webpage.

When the database was empty, this process was very quick.
But, as the DB grew, it became slower.
Now it takes about 38 seconds for all queries in the example below.
MySQL 4.1 on Windows

I have tried different indexes, and they do help and are used, but the
queries still seem to take a long time. Code:

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Using A Query To Exclude Records From One Table, If The Field Value Exists In Another
I'm very new to SQL, and wondered if someone could help me out:

I am building a query which contains two tables. One table has details of everything everyone owns.

The other table is a list of things which people own, but that I don't want to see.

Is it possible to design the query so that I see all of what everyone owns, except the items listed in the other table?

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Slow Queries, 4 Million Records, Need Educated Advice!
I have created an app a few years back to store some records in a DB.
According our calculations we were never to exceed 500,000 records in
the DB. Seems we were off by a decimal point or so.

I set up a FreeBSD box with MySQL three years back and it has been
filling up. One table has over 4,000,000 records. Yes, four million.

As a web developer and not a DBA, I have struggled to upkeep the server
the best I can. As of the last one million records the server has been
struggling to keep up with multiple requests and as you can imagine the
user base is growing too.

Hardware:
Dual Xeon 3.06 Ghz
4 GB ECC RAM
800GB RAID5 SATA array

Software:
FreeBSD 5.3
Apache 2.0
PHP5
MySQL 5.0.2

Basically I have to perform a search on one of two columns in this huge
table (10 columns, 4 million rows).

The table is MyISAM with a single primary key that is used largely for
updating row data.

Most records are ten digit numbers for one column and a ten digit
varchar for the other, but sometimes either column can be a series of
characters up to 100 chars long, so each column is set for
varchar(100).

The action performed is

SELECT count(*) FROM tableName WHERE col LIKE "%123%"

then...

SELECT * FROM tableName WHERE col LIKE "%123%" LIMIT 0,25

with "%123%" being any random string typed into a search window.

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All Records From Table A - All Records From Table B - Join Alike Records
I am by no means a SQl Jedi as will be apparent by my question, but I
can usually figure out a select statement on my own. I have one today
though that really has me stumped. I am working in MySQlL 5.

In My first select statement I get all my records from Table B
SELECT
`table_A`.`ITEM`,
`table_A`.`DECSCRIPTION`,
`table_A`.`UM`,
`table_A`.`PHASE`,
`table_B`.`Qty`,
`table_B`.`Calc` as calculated
FROM
`table_A`
Inner Join `table_B` ON `req_itemlist`.`ITEM` = `table_B`.`ItemID`

In my second statement I get my records that match in this case phase
401 in Table B and all my Table A records for phase 401.

SELECT
`table_A`.`ITEM`,
`table_A`.`DECSCRIPTION`,
`table_A`.`UM`,
`table_A`.`PHASE`,
`table_B`.`Qty`,
`table_B`.`Calc` as calculated
FROM
`table_A`

Left Outer Join `table_B` ON `req_itemlist`.`ITEM` = `table_B`.`ItemID`
Where
table_A.PHASE In ('401' )

Now I need to combine the Data of both recordsets. I need EVERYTHING in
Table B, but I also need All Table A records that match the phase
selection....

Can I write this one query or do I need to use a Temp table?

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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 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->Efficient 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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Counting Records From Subsets Of Records Returned From Query
I am trying to figure out how to count a subset of the records returned from a query. I have a query that returns records that fit the criteria ....

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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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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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Query Execution Too Slow!
I have migrated from MySQL 4.1.22 to MySQL 5.0.45. Many of the queries that were working on my old server is working too slow in my new server(MySQL version 5.0.45).

I am not aware why is this happening. Actually there is no error message or query failing. The query is executing, but the time taking to execute the query is too long. This problem is not occurring for all queirs, but only for some complex queires, that is queries with Left Join or Right Join, Group By etc.

I have also checked the MySQL details through SSH(that is by mysql> SHOW VARIABLES;)

Now one thing I found is there is lot of difference in key_buffer_size, table_cache, join_buffer_size, read_buffer_size, read_rnd_buffer_size , table_cache etc between my new server MySQL and old server MySQL.

Will this be the reason for query execution taking too much time.

Can any one guide me why this is happening. The striking thing is that these quires was working very much fine and faster in my old server.

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Recycling The Slow-query.log
Am using v5.0.22. log-slow-queries=/var/lib/mysql/log/slow-query.log, but this has grown to over 4GB. Can this slow-query.log file by recycled without starting the server? Meaning can I do the following: mv slow-query.log slow-query.OLD.log, followed by a touch slow-query.log WHILE the server is running?

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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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Slow Query Execution
Right now I am fazing one issue which is getting hell out of me. I am explaining the issues step by step.

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

2.Now, I have redesigned the site with lots of changes within this table too.

3.The problem is that the server is same, queries are same but output in the new database is taking 50 times more execution time.

4.I also just copy paste the table, and fire the same query... Strange even that is not working...

Is it something where newly added table or database is having issues in the server?

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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Slow Query Issue
I'm getting issues with slow queries being generated by a table in my database for my app, this query is consistently generating an entry in the slow query log:

SQL Code:
# Query_time: 2Â Lock_time: 0Â Rows_sent: 27Â 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`;

an explain query generates this:

1 SIMPLE ls_products ref p_archived p_archived 1 const 866 Using where; Using mysqlorary; Using filesort
1 SIMPLE ls_products_images ref pi_pid pi_pid 4 shop.ls_products.p_id 12 Using where; Not exists

and a desc generates this:

SQL Code:
pi_idÂ Â int(11)Â Â Â NOÂ Â Â PRIÂ Â Â NULLÂ Â AUTO_INCREMENTÂ Â Â Â Â pi_pid Â Â int(11) Â Â NO Â MUL Â 0 Â Â Â Â Â Â Â pi_label Â varchar(255) Â NO Â Â Â Â Â Â Â Â Â Â Â Â Â Â pi_primary_image Â tinyint(1) Â Â NO Â Â Â Â Â 0 Â Â Â Â Â Â Â Â pi_sort_order Â int(11) Â NO Â Â Â Â Â 0 Â Â Â Â Â Â pi_micro_blob Â mediumblob Â Â NO Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â pi_thumb_blob Â mediumblob Â NO Â Â Â Â Â Â Â Â Â Â Â Â pi_large_blob Â mediumblob Â NO Â Â Â Â Â Â Â Â Â Â Â Â pi_zoom_blob Â mediumblob Â Â NO Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â pi_image_mime Â varchar(25) Â NO Â Â Â Â Â Â Â Â Â Â Â Â Â Â pi_date_added Â datetime Â Â NO Â Â Â Â 0000-00-00 00:00:00 Â Â Â Â Â Â Â pi_filename Â Â varchar(50) Â Â NO Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â pi_image_label Â Â varchar(255) Â Â NO

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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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Server Slow When Exec Following Query
i try to tweak mysql server but the process still very slow to exec o following query

exec time 2min for 11k row in two table

update uploaded,uploaded_job set uploaded.export = 'yes' WHERE uploaded.work_order =uploaded_job.work_order and uploaded_job.claim_status IS NULL

i had try indexing and optimise my database result still the same.

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Slow Query Wile Using Indexes
i am having a problem with a aparently normal query, i am using indexes and it is still very slow, as the table grows biger and biger i am afraid the system cant hadle it...

Here is the table data: ....

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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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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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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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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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Do Parallel Inserts And Selects Slow Down A Query?
I've been facing problems with a query which I think is relatively well optimized but has been performing really slow as of late as the size of the table has increased to more than 1GB. The MyISAM table is updated every few seconds, only a few rows, and a different set of rows are selected every few seconds.Wwould that cause a slowdown and if so, what is the solution?

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Speed Up Query, Order By Column Is Too Slow!
I have a query that takes ages:

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
and : ORDER BY b.tbl1 LIMIT 20 -- is really slow

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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Slow Query Execution With Strange Issue
Right now I am fazing one issue which is getting hell out of me. I am explaining the issues step by step.

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

2.Now, I have redesigned the site with lots of changes within this table too.

3.the problem is that the server is same, queries are same but output in the new database is taking 50 times more time.

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.

Have any one fazed such and issue? Please help me out of the situation as site is ready but I m not able to put new version live.

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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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Selecting Records Belonging To Multiple Records Through Join Table
I have is 3 tables, 'categories', 'levels' and 'categories_levels', the 'categories_levels' table is a join table, with the `id`, `category_id` and `level_id` fields. Categories can belong to many different levels, so records in the join table might look like this (assuming that the category has an ID of 5)

id, category_id, level_id
1, 5, 1
2, 5, 2
3, 5, 3

So you can see that category 5 belongs to 3 different levels (1, 2, and 3).

On a web page, I've got a multiple select box, which allows a user to filter the categories depending on which levels they belong to. What I need a query to do is use that join table to find all categories which belong to the selected levels. Now for the tricky bit. Only the categories which belong to every single selected level should be displayed. So in the example above, if I select level 1, then category 5 will be displayed, but if I select levels 1 and 4, then category 5 should not be displayed, because although it does belong to level 1, it doesn't belong to level 4 as well.

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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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Selecting From 1 Table Only Records That Match Multiple Records In Another
I am having trouble writing an SQL statement to select all the records in Table-A that have multiple corresponding records in Table-B that meet a requirement.

Example: .....

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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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Delete Records That Have No Related Records In Other Table
How do I delete all records in a table that have no related records in another table? I tried this:

delete from t1 where t1.id=t2.id and count(t2.id)=0;

but it says "Unknown table 't2' in where clause". What's wrong?

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Slow Table Access On Local Machine
I'm running MySQL 4.1.7-nt on my laptop, and I'm accessing it through ODBC
(MyODBC-3.51.10-x86-win-32bit).

I'm developing a .NET web application, but I don't think that's relevant.

I already had the application running OK on my desktop, and when I created the
same environment on the laptop, retrieving trivial amounts of data (5 rows) from
a table is taking 6 seconds. Updates the same. IN otherwords any table access
takes 5 or six seconds. (Table only has about twenty rows in it).

I can connect to the database on the laptop from the desktop (i.e - application
runs on desktop, retrieves data from laptop - works fine, not noticeably slower
than local on desktop.

If I connect the other way - application on laptop, database on desktop, it runs
just as slowly as locally.

The effect is the same whether I connect to 127.0.0.1 or via the machine name. Code:

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Slow FullText Search When Table Grows Constantly
I have a small issue with a web-search engine I'm working on. The main table is constantly growing (1 insert per second, currently 150 000 records) and it has full-text indexes on 2 fields that contain over 20 000 characters on each row.

The thing is, as I could observe, that when multiple different full-text searches are made in appropiate period of time, the query doesn't take so much to respond (though i couldn't quite say it's fast), but when no search is made, let's say, for over 2-3 hours, the same query takes up to 30-40 seconds to respond.

The query is simple: .....

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Multiple Table Calls And Slow Loading Times... Joins?
just recently started using MySql and I think I've got most of the basics down - everything WORKS just not well. Essentially, I'm making an image gallery and the search/landing pages have thumbnails, pretty straightforward. The thumbnails are rollover slideshows of the images in the gallery so for each thumbnail preview there are a varying amount of actual thumbnail images that are loaded. The table structure is to this effect:

gallery table:
gallery_id, gallery_views, gallery_rating etc etc

thumbnails table:
gallery_id, thumbnail_link

So i may have an entry as such:
gallery_id = 21, gallery_views = 300, gallery_rating = 60

With several thumbnail entries:
gallery_id = 21, thumbnail_link = url/image1.png
gallery_id = 21, thumbnail_link = url/image2.png
gallery_id = 21, thumbnail_link = url/image3.png

What I have been doing thus far, say for the index page I grab the top 30 by views, is something like "SELECT * FROM galleries ORDER BY views DESC LIMIT 30" and then after bringing that into PHP in my while statement on each iteration I make a separate call that is like "SELECT thumbnail_link FROM thumbnails WHERE gallery_id = '$gallery_id'" and then output all the thumbnails for the rollovers. So let's say then for example that I want to show the top 30 by views, as well as the top 30 by user rating. At that point I'm making two calls to the galleries table, which arbitrarily we'll say contains 50,000 entries, but I'm also making 60 individual calls to the thumbnails table, which contains in some cases 20 or 30 thumbnail links per gallery and contains upwards of a million rows. Obviously my loading times are much higher than I would like them to be and I can't imagine this is the optimal way of making these calls. It seems like a fairly elementary concept but I can't seem to find something that works.

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