MySQL中distinct与group by之间的性能进行比较

数据运维 2023-04-25 Escape 手机阅读

最近在网上看到了一些测试，感觉不是很准确，今天亲自测试了一番。得出了结论，测试过程在个人计算机上，可能不够全面，仅供参考。测试过程：准备一张测试表 CREATE TABLE `test

                        <p>最近在网上看到了一些测试，感觉不是很准确，今天亲自测试了一番。得出了结论，测试过程在个人计算机上，可能不够全面，仅供参考。</p>

测试过程：

准备一张测试表

CREATE TABLE test_test ( id int(11) NOT NULL auto_increment, num int(11) NOT NULL default '0', PRIMARY KEY (id) ) ENGINE=MyISAM DEFAULT CHARSET=utf8 AUTO_INCREMENT=1 ;

建个储存过程向表中插入10W条数据

create procedure p_test(pa int(11)) begin

declare max_num int(11) default 100000; declare i int default 0; declare rand_num int;

select count(id) into max_num from test_test;

while i < pa do if max_num < 100000 then select cast(rand()*100 as unsigned) into rand_num; insert into test_test(num)values(rand_num); end if; set i = i +1; end while; end

调用存储过程插入数据

call p_test(100000);

开始测试：（不加索引）

select distinct num from test_test; select num from test_test group by num;

[SQL] select distinct num from test_test; 受影响的行: 0 时间: 0.078ms

[SQL] select num from test_test group by num; 受影响的行: 0 时间: 0.031ms

二、num字段上创建索引

ALTER TABLE test_test ADD INDEX num_index (num) ;

再次查询

select distinct num from test_test; select num from test_test group by num; [SQL] select distinct num from test_test; 受影响的行: 0 时间: 0.000ms

[SQL] select num from test_test group by num; 受影响的行: 0 时间: 0.000ms

这时候我们发现时间太小了 0.000秒都无法精确了。我们转到命令行下测试

mysql> set profiling=1; mysql> select distinct(num) from test_test; mysql> select num from test_test group by num; mysql> show profiles; +----------+------------+----------------------------------------+ | Query_ID | Duration | Query | +----------+------------+----------------------------------------+ | 1 | 0.00072550 | select distinct(num) from test_test | | 2 | 0.00071650 | select num from test_test group by num | +----------+------------+----------------------------------------+