首先先創建兩個臨時表,並加一條基礎數據進去
create table user ( id int auto_increment comment '自增主鍵' primary key, name varchar(30) null comment '用戶名稱', create_time datetime not null comment '注冊時間', last_login_time datetime null comment '最后登錄時間' ) comment '測試表'; create table article ( id int auto_increment comment '自增主鍵' primary key, user_id int not null comment '用戶id', name varchar(30) null comment '帖子名稱', topic varchar(30) null comment '帖子關鍵詞', content varchar(500) null comment '帖子內容', create_time datetime not null comment '創建時間' ) comment '測試表2';*/insert into article values(1,1, 'name_1', 'topic_1', 'content_1', '2019-01-01 00:00:00'); insert into user values(1,'user_1', '2019-01-01 00:00:00', '2019-03-01 12:00:00');
為了能模擬大查詢的情況,給每個表插入一些數據,user要有萬級數據量,article要有百萬級數據量,下面的sql每執行一次,數據量翻倍,謹慎執行!
set @i=1; set @time=1; insert into user(name, create_time, last_login_time) select concat('user_',@i:=@i+1), date_add(create_time,interval +@time*cast(rand()*100 as signed) SECOND), null from user; select count(1) from user; set @i=1; set @time=1; insert into article(user_id, name, topic, content, create_time) select round(rand()*(select max(id) from user)), concat('name_',@i:=@i+1), concat('topic_',@i:=@i+1), concat('content_',@i:=@i+1), date_add(create_time,interval +@time*cast(rand()*100 as signed) SECOND) from article; select count(1) from article;
看下查詢的SQL語句
select sql_no_cache * from user left join article on(user.id = article.user_id) where user.name like 'user_4%';
沒有使用緩存,user表的id是主鍵,article表除主鍵外沒有任何索引,這種情況下,百萬級數據查詢情況如下
sql> select sql_no_cache * from user left join article on(user.id = article.user_id) where user.name like 'user_4%' [2020-05-17 13:24:45] 500 rows retrieved starting from 1 in 4 s 681 ms (execution: 1 s 312 ms, fetching: 3 s 369 ms)
給article表加個索引
CREATE INDEX user_id ON article (user_id);
再執行一下看下效果
sql> select sql_no_cache * from user left join article on(user.id = article.user_id) where user.name like 'user_4%' [2020-05-17 13:27:22] 500 rows retrieved starting from 1 in 142 ms (execution: 112 ms, fetching: 30 ms)
可以看出,加了索引后,時間縮短了97%
結論:
A表與B表使用Join聯合查詢的時候,針對on里面的字段加與不加索引的效率(假設on的條件是A.id=B.aid):
1、兩個字段都不加索引,效率極低
2、A表的字段加了索引,B表的字段沒有加索引,效果同上
3、A表B表的字段都加了索引,效果很明顯
4、A表不加索引,B表加了索引,效果同上
參考:
