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

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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
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mysqld_safe &
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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`)
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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;
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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 |
+----+-------------+-------+-------+---------------+--------------+---------+------+-------+-----------------+
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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
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It has the following characteristics:

+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
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+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+---------------------------------+
| 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 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
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PHP

$sql = "SELECT     
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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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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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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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How To Universally Act On All Cells In A Table, Turning Blanks To NULLS
i should be able to do this, but it's actually been a pain for a while. how can i turn all the blanks in a table to NULLS?

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Logging In
I'm having trouble logging into my sql server, I'm running version 4.0 just about anything I type in gives me this error message

"Error
SQL query:

mysql

MySQL said:

#1064 - 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 'mysql' at line 1 "

Can anyone help me with this problem?

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Logging
Is there a way to turn on some sort of logging? I am attempting to connect to a db through VB, just learned it and am not sure if I am getting in and not retrieving data or not even getting in yet. Can this be done through the console and then left on?

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Logging Problem
I have a problem with mysql general log, regarding query logging. I'm
running Win2K, mysql 4.1.10 with JBoss 4.0.2. When I turn on logging,
the statements executed from JBoss and logged by mysql look like this:

SELECT uuid from tablex AS a WHERE a.id = ?;

MySQL never logs the parameters of the statements. Can somebody tell me
how to turn this on or what I am missing here?

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Using A Database For Logging
I need to log the number of "brochure Requests" on a per Region, Per
date basis.

eg for say 20 Regions , have a 366 columns (one per day of the year).
Obviously I can write a script to Create all the tables, but it seems
kind of clumsy.
Do arrays exist in Mysql?
It might also be easier to organise it into 52 weeks of 7 days.

How do I design the tables?

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Logging Into Server
I have a linux box with MySQL. The following fails. If I try to login locally using

mysql -u USERNAME -p

If I go to another computer on the network and try using the same user
name and password by:

mysql -h SERVER ADDRESS -u USERNAME -p

This login is successful.Does anyone know why the first operation fails?

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Logging On And Off MySQL
How does MySQL manage connections/sessions that are not formally and
properly closed?

What are the possible negative consequences if many of the
software/operators on the client side fail to properly close the sessions
they open? Will the MySQL server be able to handle this gracefully? Or will
they consume server resources until the system crashes?

Will the open sessions eventually time out close automatically?
Is there a timeout value that can be set on the server?

Can one query the server for information about open connections?

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Transaction Logging
I am reading up on transaction logging, and am wondering whether MySQL's binary log is its "UNDO/REDO log"? I'm a beginner to all this, and not sure whether that's the correct interpretation of the MySQL binary log.

How does MySQL's transaction logging, or any transaction logging mechanism, work? I was reading up on general transaction logging principles but it was getting far too specific to SQL Server and other DBMSs, so I figured that I could come here and someone here might point me to some MySQL-specific resources on this, or perhaps help to explain how this all works.

e.g. Does the transaction log get rid of all transactions once committed, what's the difference in how UNDO and REDO logs work, are these logs stored in a more complex manner than just logging the plain text statement (I'd imagine so, because otherwise how would an undo operation work)?

In fact, I find it funny that I'm asking all the questions above because I'm still not quite clear on what the purpose of transaction logs is in the first place!

While it would be great if somebody could help clear up the confusion I'm having, it would also be good if you could point me to some MySQL-specific resources on this topic. I browsed through the MySQL documentation and did a web search, but either did not find any resources period, or did not find resources that "dumbed it down" enough for me.

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Replication Logging
Im wondering if there is some method to automatically "clean up" the binary logs left by replication even after they are used. For example, I have a number of mysql replication logs sitting on a server. There are about 25 of them, a GIG in size each.

My MYSQL replication is UP TO DATE. This means everything is properly sync'd. But I dont want to just 'DELETE' everything.

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