Using examples of errors encountered by hosting users, we will consider how you can optimize the database.
An example of a table that consists of more than 40,000 records and to which queries are sent, which create a considerable load on the server, since there are a lot of them:
CREATE TABLE `links` ( `id` INT(11) UNSIGNED NOT NULL AUTO_INCREMENT, `source` INT(11) UNSIGNED NOT NULL, `category` INT(11) UNSIGNED NOT NULL, `title` text NOT NULL, `description` text NOT NULL, `text` text NOT NULL, `link` text NOT NULL, `publication` datetime NOT NULL, `scan` datetime NOT NULL, PRIMARY KEY (`id`), UNIQUE KEY `unique` (`id`) USING BTREE, KEY `normal` (`source`,`category`,`title`(100),`publication`,`description`(100),`text`(100),`scan`) USING BTREE ) ENGINE=InnoDB AUTO_INCREMENT=40000 DEFAULT CHARSET=utf8
An example of incoming requests:
SELECT COUNT(*) FROM links WHERE link = 'http://www.......com.ua/31-08-2014/trolleybook-podgotovil-prazdnichnuyu-programmu-k-limba-noastr-/n96349/' AND UNIX_TIMESTAMP(publication) = 1409472019
By executing a request with the prefix
EXPLAIN we see that the entire table is scanned to get the results - about 40 thousand rows. In order to optimize table performance:
UNIX_TIMESTAMP(publication) = 1409472019on
publication=FROM_UNIXTIME(1409472019)... Only with such a query will MySQL use the index. Since in the first case, the DBMS will have to go through each row in the table and apply the function to it
UNIX_TIMESTAMPand then compare the result with the number
1409472019, and in the second - the constant changes once
FROM_UNIXTIME(1409472019)followed by an index search.
These two operations are enough for everything to start working quickly and without loading the MySQL server processor.
As a supplement, we recommend:
varcharthe desired length.
UNIQon the field
id... There is no need for it, since this function is already performed by the index
PRIMARYon the same field.
normaleven more doubtful, since the server has to work hard to create it. It is simply huge, and it is extremely unlikely that the search occurs in all the fields that are specified in it. This is most likely a "dead" index, which hinders rather than helps. Developers should be aware that the index will only be used if the request contains fields that are located in it from left to right. So, for example, this index will be used if in the condition
WHEREfields will be specified
source... If the field
sourcewill not be specified in the request, the index will not be used either.
And finally, there is a question regarding the need to use the query itself
COUNT(*)... It is very likely that its author wants in this way to get information about the presence of a record in the table, and not the total number of records in the table with the specified URL for the specified date. In this case, it is correct to use a query without
COUNT(*) with the condition
SELECT id FROM links WHERE link = 'http://www.......com.ua/31-08-2014/trolleybook-podgotovil-prazdnichnuyu-programmu-k-limba-noastr-/n96349/' AND UNIX_TIMESTAMP(publication) = 1409472019 LIMIT 1
In this case, the database, having found the first record, will stop the search, and in the case of
COUNT will scan the entire table.
PS Despite the fact that there is a search in two columns in the SQL query
link, the field was not added to the index
link... This is due to the fact that for this table the field
publication with a date is quite unique and the maximum will contain several lines with different
link... Therefore, the overhead of forming an index for the field
link significantly exceeds the cost of scanning multiple rows at a single index