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mysql慢查詢優(yōu)化之從理論和實踐說明limit的優(yōu)點

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很多時候, 我們預(yù)期查詢的結(jié)果最多是1條記錄數(shù)據(jù), 那么這個時候, 最好用上limit 1,  當(dāng)查到這條數(shù)據(jù)后, mysql會立即終止繼續(xù)查詢, 不進行更多的無用查詢, 從而提升了效率。

我們來實際測試一下, 在一個擁有10萬的mysql表中, 查找lily的分數(shù)(假設(shè)系統(tǒng)中只有1個lily, 而我們預(yù)期也只需要這條數(shù)據(jù))。為了顯示出時間的差別, 我并不對表的name字段建索引。

先看看表結(jié)構(gòu):

mysql> show create table tb_province;
+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Table    | Create Table                                                                                                                                                                                                                                                                                                                           |
+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| tb_province | CREATE TABLE `tb_province` (
 `id` bigint(10) unsigned NOT NULL AUTO_INCREMENT,
 `name` varchar(32) NOT NULL,
 `score` int(10) unsigned DEFAULT '0',
 `x` int(10) unsigned DEFAULT '0',
 `x1` int(10) unsigned DEFAULT '0',
 `x2` int(10) unsigned DEFAULT '0',
 `x3` int(10) unsigned DEFAULT '0',
 `x4` int(10) unsigned DEFAULT '0',
 `x5` int(10) unsigned DEFAULT '0',
 `x6` int(10) unsigned DEFAULT '0',
 `x7` int(10) unsigned DEFAULT '0',
 `x8` int(10) unsigned DEFAULT '0',
 `x9` int(10) unsigned DEFAULT '0',
 `x10` int(10) unsigned DEFAULT '0',
 PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=124178 DEFAULT CHARSET=latin1 |
+-------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)

我們打開set profiling=1;的開關(guān),執(zhí)行mysql語句來對比:

mysql> select score from tb_province where name='lily';
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.03 sec)

mysql> select score from tb_province where name='lily';
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.03 sec)

mysql> select score from tb_province where name='lily';
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.04 sec)

mysql> select score from tb_province where name='lily';
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.02 sec)

mysql> select score from tb_province where name='lily';
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.03 sec)

mysql> select score from tb_province where name='lily' limit 1;
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.00 sec)

mysql> select score from tb_province where name='lily' limit 1;
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.00 sec)

mysql> select score from tb_province where name='lily' limit 1;
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.00 sec)

mysql> select score from tb_province where name='lily' limit 1;
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.01 sec)

mysql> select score from tb_province where name='lily' limit 1;
+-------+
| score |
+-------+
|  100 |
+-------+
1 row in set (0.00 sec)

可見,我們針對是否采用limit 1進行了5次對比測試, 來看看結(jié)果吧:

mysql> show profiles;
+----------+------------+---------------------------------------------------------+
| Query_ID | Duration  | Query                          |
+----------+------------+---------------------------------------------------------+
|    5 | 0.02686000 | select score from tb_province where name='lily'     |
|    6 | 0.02649050 | select score from tb_province where name='lily'     |
|    7 | 0.03413500 | select score from tb_province where name='lily'     |
|    8 | 0.02601350 | select score from tb_province where name='lily'     |
|    9 | 0.02785775 | select score from tb_province where name='lily'     |
|    10 | 0.00042300 | select score from tb_province where name='lily' limit 1 |
|    11 | 0.00043250 | select score from tb_province where name='lily' limit 1 |
|    12 | 0.00044350 | select score from tb_province where name='lily' limit 1 |
|    13 | 0.00053200 | select score from tb_province where name='lily' limit 1 |
|    14 | 0.00043250 | select score from tb_province where name='lily' limit 1 |
+----------+------------+---------------------------------------------------------+
14 rows in set, 1 warning (0.00 sec)

可見,采用limit 1后, mysql語句的效率確實提升很多。 當(dāng)表更大時, 效率提升會更加明顯。 

我們已經(jīng)從理論和實踐的腳本都說明了limit的優(yōu)點, 所以, 建議是:在可用limit的時候要用limit (當(dāng)然, 如果結(jié)果是多個,肯定不能limit 1?。?/p>

總結(jié)

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標簽:梅河口 昌都 荊門 駐馬店 陜西 北京 鄂爾多斯 黔西

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