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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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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]
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so now when I type:

mysqladmin shutdown
and than

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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 &#390;',
`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 | |
+----+-------------+-------+--------+---------------+---------+---------+--------------------------+-------+-----------------+
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PHP

$sql = "SELECT     
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    . TOPICS_TABLE . " t, "
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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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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.

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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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What Are Indexes?
What exactly are indexes?
are they like Foriegn Keys?
How do you make Foriegn Keys?
How would you go about specifying the primary key link to the foriegn key?
whats a good situation when indexes are most needed?

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Two Indexes
I have a DB made up o three tables.
I created a multi-column index called idx on (table1.id, table2.id).
I also would like to create an index idtot on (table1.id,table2.id, table3.id)
and an index idp on (table1.id, table2.id).
First of all I would like to know if this is possible.
If so,
when I make a query like

"select table1.id from table1,table3 where table1.id=table3.id",
MySQL automatically chooses the right index idp to make the search, or
do I have to specify it? (and if so, how?).

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Many-to-many Indexes
You have a many-to-many between two tables. One method (which I use, and which apparently is seen as a good method) is to use a linking / joining table. Just a table with two columns, having IDfromTable1 and IDfromTable2.

Now, what is the best way to index this 'link' table? Table1 and Table2 will have a primary key index on their unique IDs, and those IDs will have several matching values each on the 'link' table. Is it better to create an index on each column in the 'link' table? Or create an index which uses both columns? I get that using both columns would give me the ability to have a unique key, but performance-wise, etc. which is the better option?

Tables are MyISAM.

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Indexes
I have a few books on mysql and have succesfully now transferred all my records over from ms access. everything does work ok but it searches are a little slow (even slower than ms access which is why i moved in the first place).

I have 17 tables in the database and it is all in third normal form. I have correct primary keys on all.

I think indexes is the prolem here. I have added a few but i am unsure about how many to add and also about updating them.

Can you please give your advice in terms of how many indexes should be used normally and how easy it is to update them?

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Best Use Of Indexes
I have a situation where I am doing the following:

Example keys:

key1
key2
key3

Now "key1" is used a lot in WHERE queries with "key2" & "key3"; however they are not used all together at once.. "key1" is only used with 2 & 3 seperately.

So I was wondering is it best to create 2 seperate indexes such as:

key1
key2

key1
key3

..or create one such as..

key1
key2
key3

?

I created the two seperate ones, but phpmyadmin is complaining about me having two indexes created for "key1".

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Use Indexes?
My table has some indexes declared. How I can use them in the select queries in order to achieve better performance?

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Preserving Indexes
I'm using phpMyAdmin for the most part. I notice that the index cardinality
shows up as None in phpMyAdmin for each index I have. If I drop the index
and re-create it, all of the indexes show their correct cardinality. I
don't think phpMyAdmin is at fault because searching on the table before I
fix it is sluggish until afterwards. Is the a command I could run that
would re-index everything after I dump the data into the table? Or what is
going on?

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Keys And Indexes
what the difference is between keys and indexes?

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Two FULLTEXT Indexes
I'm building a new database and I will need a search engine for it.
I wonder if it would be ok if the database contains two fulltext
indexes.It's because my database will contain English document and French
document.I would put two FULLTEXT indexes in my table so that way, you could do
your research only on the French document or only on the English ones.
So my question is, would it be better to put the two fulltext index in
one table or do a table for the French articles and a table for the
English articles.

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More Than 32 Indexes With MyISAM?
I've searched Google every way I know how, and came up with two answers that
refer to MAX_KEY and MI_MAX_KEY, along with a typedef for key_map.

I have the 4.1.1 alpha source (4.0 is no good, because it doesn't support
subqueries).

I changed the two defines in sql/mysql_priv.h and include/myisam.h,
respectively. The typedef for key_map is no longer ulong or ulonglong, but
instead Bitmap(64);

I left that alone.

After compiling, an attempt to create a table with more than 32 indexes
(which I absolutely must have) still shows an error referring to 32 max keys.

What's going on here? I could not find anywhere in the code that generates
that error which doesn't check either or both of the above defines.

So why isn't it working? Is it hard coded somewhere?

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MySQL Indexes
if the indexes of a table are dynamically updated... in other words, if I have a table updated every minute, do the related indexes are updated as well?

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Enum Or Indexes
My question is, would there be a significant impact on optimization by removing the enum in favor of other tables.For example, in the table there is a column of type enum to represent the 50 states. Is there any advantage performance-wise to move these 50 states into a table?

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Table Indexes
1. is this true that all the fields on which you will be doing search one should make them index?
2. is there a limit to how many index fiedls you can have?
3. i once was geting this error while creating a table "specified key can be max 500"
when i got rid of index it got created sucessfully I don't know why?

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Indexes, Primary Key
I have set up a temperature logging system with ds18s20 one-wire sensors.
In the MySQL database I have a table with four columns - time as timestamp, outside, inside and server temperatures as floats.
A small C program runs the Digitemp ( http://www.digitemp.com ) program every half hour from cron, parses the output and inserts now() and temperatures.
The data is used by a web page, and I mostly select according to timestamp (for example, the last week).Would there be any performance to gain from creating an index on the timestamp? It is already ordered, ascending in the table.
I have not set a primary key on the table either, would that be any advantage?

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Define Indexes?
I'm wading through the waters of "MySQL/PHP Database Applications," and I still cannot get this INDEX malarcky into my head. What exactly is an index? What's a working example that would put it into clear understanding

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Proper Indexes
I recently had an administrator on a system I built manually enter in grades twice for the same exam. I had made check to stop this when importing from a csv but did not think to check when manually entering grades. My bad.

If I add an index for both Session_ID and SOMS_KEY would this fix the problem? I can't have the same SOMS_KEY which identifies a student written into the table for the same Session_ID. The Session_ID has all the exam grades for that session.

Example:

Session_ID, SOMS_KEY

61, 602
61, 602

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FULLTEXT Indexes
I know that FULLTEXT indexes actually return meaningful results but I also suspect they add a lot of overhead to the database server.I can't change it for our existing application but for the next major revision I was planning to create a search table that contains all words that get entered into the database (apart from noise words) with an article ID.I think that might get a bit complicated though as it would have to return results and then scan through the text returned to highlight that word? Actually not that hard but is it worth it for performance benefits?

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